tourism economy meaning

10 Economic impacts of tourism + explanations + examples

There are many economic impacts of tourism, and it is important that we understand what they are and how we can maximise the positive economic impacts of tourism and minimise the negative economic impacts of tourism.

Many argue that the tourism industry is the largest industry in the world. While its actual value is difficult to accurately determine, the economic potential of the tourism industry is indisputable. In fact, it is because of the positive economic impacts that most destinations embark on their tourism journey.

There is, however, more than meets the eye in most cases. The positive economic impacts of tourism are often not as significant as anticipated. Furthermore, tourism activity tends to bring with it unwanted and often unexpected negative economic impacts of tourism.

In this article I will discuss the importance of understanding the economic impacts of tourism and what the economic impacts of tourism might be. A range of positive and negative impacts are discussed and case studies are provided.

At the end of the post I have provided some additional reading on the economic impacts of tourism for tourism stakeholders , students and those who are interested in learning more.

 Foreign exchange earnings

Contribution to government revenues, employment generation, contribution to local economies, development of the private sector, infrastructure cost, increase in prices, economic dependence of the local community on tourism, foreign ownership and management, economic impacts of tourism: conclusion, further reading on the economic impacts of tourism, the economic impacts of tourism: why governments invest.

Tourism brings with it huge economic potential for a destination that wishes to develop their tourism industry. Employment, currency exchange, imports and taxes are just a few of the ways that tourism can bring money into a destination.

In recent years, tourism numbers have increased globally at exponential rates, as shown in the World Tourism Organisation data below.

There are a number of reasons for this growth including improvements in technology, increases in disposable income, the growth of budget airlines and consumer desires to travel further, to new destinations and more often.

Here are a few facts about the economic importance of the tourism industry globally:

• The tourism economy represents 5 percent of world GDP
• Tourism contributes to 6-7 percent of total employment
• International tourism ranks fourth (after fuels, chemicals and automotive products) in global exports
• The tourism industry is valued at US$1trillion a year
• Tourism accounts for 30 percent of the world’s exports of commercial services
• Tourism accounts for 6 percent of total exports
• 1.4billion international tourists were recorded in 2018 (UNWTO)
• In over 150 countries, tourism is one of five top export earners
• Tourism is the main source of foreign exchange for one-third of developing countries and one-half of less economically developed countries (LEDCs)

There is a wealth of data about the economic value of tourism worldwide, with lots of handy graphs and charts in the United Nations Economic Impact Report .

In short, tourism is an example of an economic policy pursued by governments because:

•      it brings in foreign exchange
•      it generates employment
•      it creates economic activity

Building and developing a tourism industry, however, involves a lot of initial and ongoing expenditure. The airport may need expanding. The beaches need to be regularly cleaned. New roads may need to be built. All of this takes money, which is usually a financial outlay required by the Government.

For governments, decisions have to be made regarding their expenditure. They must ask questions such as:

How much money should be spent on the provision of social services such as health, education, housing?

How much should be spent on building new tourism facilities or maintaining existing ones?

If financial investment and resources are provided for tourism, the issue of opportunity costs arises.

By opportunity costs, I mean that by spending money on tourism, money will not be spent somewhere else. Think of it like this- we all have a specified amount of money and when it runs out, it runs out. If we decide to buy the new shoes instead of going out for dinner than we might look great, but have nowhere to go…!

In tourism, this means that the money and resources that are used for one purpose may not then be available to be used for other purposes. Some destinations have been known to spend more money on tourism than on providing education or healthcare for the people who live there, for example.

This can be said for other stakeholders of the tourism industry too.

There are a number of independent, franchised or multinational investors who play an important role in the industry. They may own hotels, roads or land amongst other aspects that are important players in the overall success of the tourism industry. Many businesses and individuals will take out loans to help fund their initial ventures.

So investing in tourism is big business, that much is clear. What what are the positive and negative impacts of this?

Positive economic impacts of tourism

So what are the positive economic impacts of tourism? As I explained, most destinations choose to invest their time and money into tourism because of the positive economic impacts that they hope to achieve. There are a range of possible positive economic impacts. I will explain the most common economic benefits of tourism below.

One of the biggest benefits of tourism is the ability to make money through foreign exchange earnings.

Tourism expenditures generate income to the host economy. The money that the country makes from tourism can then be reinvested in the economy. How a destination manages their finances differs around the world; some destinations may spend this money on growing their tourism industry further, some may spend this money on public services such as education or healthcare and some destinations suffer extreme corruption so nobody really knows where the money ends up!

Some currencies are worth more than others and so some countries will target tourists from particular areas. I remember when I visited Goa and somebody helped to carry my luggage at the airport. I wanted to give them a small tip and handed them some Rupees only to be told that the young man would prefer a British Pound!

Currencies that are strong are generally the most desirable currencies. This typically includes the British Pound, American, Australian and Singapore Dollar and the Euro .

Tourism is one of the top five export categories for as many as 83% of countries and is a main source of foreign exchange earnings for at least 38% of countries.

Tourism can help to raise money that it then invested elsewhere by the Government. There are two main ways that this money is accumulated.

Direct contributions are generated by taxes on incomes from tourism employment and tourism businesses and things such as departure taxes.

Taxes differ considerably between destinations. I will never forget the first time that I was asked to pay a departure tax (I had never heard of it before then), because I was on my way home from a six month backpacking trip and I was almost out of money!

Japan is known for its high departure taxes. Here is a video by a travel blogger explaining how it works.

According to the World Tourism Organisation, the direct contribution of Travel & Tourism to GDP in 2018 was $2,750.7billion (3.2% of GDP). This is forecast to rise by 3.6% to $2,849.2billion in 2019.

Indirect contributions come from goods and services supplied to tourists which are not directly related to the tourism industry.

Take food, for example. A tourist may buy food at a local supermarket. The supermarket is not directly associated with tourism, but if it wasn’t for tourism its revenues wouldn’t be as high because the tourists would not shop there.

There is also the income that is generated through induced contributions . This accounts for money spent by the people who are employed in the tourism industry. This might include costs for housing, food, clothing and leisure Activities amongst others. This will all contribute to an increase in economic activity in the area where tourism is being developed.

The rapid expansion of international tourism has led to significant employment creation. From hotel managers to theme park operatives to cleaners, tourism creates many employment opportunities. Tourism supports some 7% of the world’s workers.

There are two types of employment in the tourism industry: direct and indirect.

Direct employment includes jobs that are immediately associated with the tourism industry. This might include hotel staff, restaurant staff or taxi drivers, to name a few.

Indirect employment includes jobs which are not technically based in the tourism industry, but are related to the tourism industry. Take a fisherman, for example. He does not have any contact of dealings with tourists. BUT he does sell his fish to the hotel which serves tourists. So he is indirectly employed by the tourism industry, because without the tourists he would not be supplying the fish to the hotel.

It is because of these indirect relationships, that it is very difficult to accurately measure the economic value of tourism.

It is also difficult to say how many people are employed, directly and indirectly, within the tourism industry.

Furthermore, many informal employments may not be officially accounted for. Think tut tut driver in Cambodia or street seller in The Gambia – these people are not likely to be registered by the state and therefore their earnings are not declared.

It is for this reason that some suggest that the actual economic benefits of tourism may be as high as double that of the recorded figures!

All of the money raised, whether through formal or informal means, has the potential to contribute to the local economy.

If sustainable tourism is demonstrated, money will be directed to areas that will benefit the local community most.

There may be pro-poor tourism initiatives (tourism which is intended to help the poor) or volunteer tourism projects.

The government may reinvest money towards public services and money earned by tourism employees will be spent in the local community. This is known as the multiplier effect.

The multiplier effect relates to spending in one place creating economic benefits elsewhere. Tourism can do wonders for a destination in areas that may seem to be completely unrelated to tourism, but which are actually connected somewhere in the economic system.

Let me give you an example.

A tourist buys an omelet and a glass of orange juice for their breakfast in the restaurant of their hotel. This simple transaction actually has a significant multiplier effect. Below I have listed just a few of the effects of the tourist buying this breakfast.

The waiter is paid a salary- he spends his salary on schooling for his kids- the school has more money to spend on equipment- the standard of education at the school increases- the kids graduate with better qualifications- as adults, they secure better paying jobs- they can then spend more money in the local community…

The restaurant purchases eggs from a local farmer- the farmer uses that money to buy some more chickens- the chicken breeder uses that money to improve the standards of their cages, meaning that the chickens are healthier, live longer and lay more eggs- they can now sell the chickens for a higher price- the increased money made means that they can hire an extra employee- the employee spends his income in the local community…

The restaurant purchase the oranges from a local supplier- the supplier uses this money to pay the lorry driver who transports the oranges- the lorry driver pays road tax- the Government uses said road tax income to fix pot holes in the road- the improved roads make journeys quicker for the local community…

So as you can see, that breakfast that the tourist probably gave not another thought to after taking his last mouthful of egg, actually had the potential to have a significant economic impact on the local community!

The private sector has continuously developed within the tourism industry and owning a business within the private sector can be extremely profitable; making this a positive economic impact of tourism.

Whilst many businesses that you will come across are multinational, internationally-owned organisations (which contribute towards economic leakage ).

Many are also owned by the local community. This is the case even more so in recent years due to the rise in the popularity of the sharing economy and the likes of Airbnb and Uber, which encourage the growth of businesses within the local community.

Every destination is different with regards to how they manage the development of the private sector in tourism.

Some destinations do not allow multinational organisations for fear that they will steal business and thus profits away from local people. I have seen this myself in Italy when I was in search of a Starbucks mug for my collection , only to find that Italy has not allowed the company to open up any shops in their country because they are very proud of their individually-owned coffee shops.

Negative economic impacts of tourism

Unfortunately, the tourism industry doesn’t always smell of roses and there are also several negative economic impacts of tourism.

There are many hidden costs to tourism, which can have unfavourable economic effects on the host community.

Whilst such negative impacts are well documented in the tourism literature, many tourists are unaware of the negative effects that their actions may cause. Likewise, many destinations who are inexperienced or uneducated in tourism and economics may not be aware of the problems that can occur if tourism is not management properly.

Below, I will outline the most prominent negative economic impacts of tourism.

Economic leakage in tourism is one of the major negative economic impacts of tourism. This is when money spent does not remain in the country but ends up elsewhere; therefore limiting the economic benefits of tourism to the host destination.

The biggest culprits of economic leakage are multinational and internationally-owned corporations, all-inclusive holidays and enclave tourism.

I have written a detailed post on the concept of economic leakage in tourism, you can take a look here- Economic leakage in tourism explained .

Another one of the negative economic impacts of tourism is the cost of infrastructure. Tourism development can cost the local government and local taxpayers a great deal of money.

Tourism may require the government to improve the airport, roads and other infrastructure, which are costly. The development of the third runway at London Heathrow, for example, is estimated to cost £18.6billion!

Money spent in these areas may reduce government money needed in other critical areas such as education and health, as I outlined previously in my discussion on opportunity costs.

One of the most obvious economic impacts of tourism is that the very presence of tourism increases prices in the local area.

Have you ever tried to buy a can of Coke in the supermarket in your hotel? Or the bar on the beachfront? Walk five minutes down the road and try buying that same can in a local shop- I promise you, in the majority of cases you will see a BIG difference In cost! (For more travel hacks like this subscribe to my newsletter – I send out lots of tips, tricks and coupons!)

Increasing demand for basic services and goods from tourists will often cause price hikes that negatively impact local residents whose income does not increase proportionately.

Tourism development and the related rise in real estate demand may dramatically increase building costs and land values. This often means that local people will be forced to move away from the area that tourism is located, known as gentrification.

Taking measures to ensure that tourism is managed sustainably can help to mitigate this negative economic impact of tourism. Techniques such as employing only local people, limiting the number of all-inclusive hotels and encouraging the purchasing of local products and services can all help.

Another one of the major economic impacts of tourism is dependency. Many countries run the risk of becoming too dependant on tourism. The country sees $ signs and places all of its efforts in tourism. Whilst this can work out well, it is also risky business!

If for some reason tourism begins to lack in a destination, then it is important that the destination has alternative methods of making money. If they don’t, then they run the risk of being in severe financial difficulty if there is a decline in their tourism industry.

In The Gambia, for instance, 30% of the workforce depends directly or indirectly on tourism. In small island developing states, percentages can range from 83% in the Maldives to 21% in the Seychelles and 34% in Jamaica.

There are a number of reasons that tourism could decline in a destination.

The Gambia has experienced this just recently when they had a double hit on their tourism industry. The first hit was due to political instability in the country, which has put many tourists off visiting, and the second was when airline Monarch went bust, as they had a large market share in flights to The Gambia.

Other issues that could result in a decline in tourism includes economic recession, natural disasters and changing tourism patterns. Over-reliance on tourism carries risks to tourism-dependent economies, which can have devastating consequences.

The last of the negative economic impacts of tourism that I will discuss is that of foreign ownership and management.

As enterprise in the developed world becomes increasingly expensive, many businesses choose to go abroad. Whilst this may save the business money, it is usually not so beneficial for the economy of the host destination.

Foreign companies often bring with them their own staff, thus limiting the economic impact of increased employment. They will usually also export a large proportion of their income to the country where they are based. You can read more on this in my post on economic leakage in tourism .

As I have demonstrated in this post, tourism is a significant economic driver the world over. However, not all economic impacts of tourism are positive. In order to ensure that the economic impacts of tourism are maximised, careful management of the tourism industry is required.

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Tourism and Competitiveness

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The tourism sector provides opportunities for developing countries to create productive and inclusive jobs, grow innovative firms, finance the conservation of natural and cultural assets, and increase economic empowerment, especially for women, who comprise the majority of the tourism sector’s workforce. Before the COVID-19 pandemic, tourism was the world’s largest service sector—providing one in ten jobs worldwide,  almost seven percent of all international trade and  25 percent of the world’s service exports —a critical foreign exchange generator.  In 2019 the sector was valued at more than US$9 trillion and accounted for 10.4 percent of global GDP.

Tourism offers opportunities for economic diversification and market-creation. When effectively managed, its deep local value chains can expand demand for existing and new products and services that directly and positively impact the poor and rural/isolated communities. The sector can also be a force for biodiversity conservation, heritage protection, and climate-friendly livelihoods, making up a key pillar of the blue/green economy. This potential is also associated with social and environmental risks, which need to be managed and mitigated to maximize the sector’s net-positive benefits.

The impact of the COVID-19 pandemic has been devastating for tourism service providers, with a loss of 20 percent of all tourism jobs (62 million), and US$1.3 trillion in export revenue, leading to a reduction of 50 percent of its  contribution to GDP  in 2020 alone. The collapse of demand has severely impacted the livelihoods of tourism-dependent communities, small businesses and women-run enterprises. It has also reduced government tax revenues and constrained the availability of resources for destination management and site conservation.

Naturalist local guide with group of tourist in Cuyabeno Wildlife Reserve Ecuador. Photo: Ammit Jack/Shutterstock

Tourism and Competitiveness Strategic Pillars

Our solutions are integrated across the following areas:

• Competitive and Productive Tourism Markets. We work with government and private sector stakeholders to foster competitive tourism markets that create productive jobs, improve visitor expenditure and impact, and are supportive of high-growth, innovative firms. To do so we offer guidance on firm and destination level recovery, policy and regulatory reforms, demand diversification, investment promotion and market access. 
• Blue, Green and Resilient Tourism Economies. We support economic diversification to sustain natural capital and tourism assets, prepare for external and climate-related shocks, and be sustainably managed through strong policy, coordination, and governance improvements. To do so we offer support to align the tourism enabling and policy environment towards sustainability, while improving tourism destination and site planning, development, and management. We work with governments to enhance the sector’s resilience and to foster the development of innovative sustainable financing instruments.
• Inclusive Value Chains. We work with client governments and intermediaries to support Small and Medium sized Enterprises (SMEs), and strengthen value chains that provide equitable livelihoods for communities, women, youth, minorities, and local businesses. 

The successful design and implementation of reforms in the tourism space requires the combined effort of diverse line ministries and agencies, and an understanding of the impact of digital technologies in the industry. Accordingly, our teams support cross-cutting issues of tourism governance and coordination, digital innovation and the use and application of data throughout the three focus areas of work.

Tourism and Competitiveness Theory of Change 

Examples of our projects:

• In Indonesia , a US$955m loan is supporting the Government’s Integrated Infrastructure Development for National Tourism Strategic Areas Project. This project is designed to improve the quality of, and access to, tourism-relevant basic infrastructure and services, strengthen local economy linkages to tourism, and attract private investment in selected tourism destinations. In its initial phases, the project has supported detailed market and demand analyses needed to justify significant public investment, mobilized integrated tourism destination masterplans for each new destination and established essential coordination mechanisms at the national level and at all seventeen of the Project’s participating districts and cities.
• In Madagascar , a series of projects totaling US$450m in lending and IFC Technical Assistance have contributed to the sustainable growth of the tourism sector by enhancing access to enabling infrastructure and services in target regions. Activities under the project focused on providing support to SMEs, capacity building to institutions, and promoting investment and enabling environment reforms. They resulted in the creation of more than 10,000 jobs and the registration of more than 30,000 businesses. As a result of COVID-19, the project provided emergency support both to government institutions (i.e., Ministry of Tourism) and other organizations such as the National Tourism Promotion Board to plan, strategize and implement initiatives to address effects of the pandemic and support the sector’s gradual relaunch, as well as to directly support tourism companies and workers groups most affected by the crisis. 
• In Sierra Leone , an Economic Diversification Project has a strong focus on sustainable tourism development.  The project is contributing significantly to the COVID-19 recovery, with its focus on the creation of six new tourism destinations, attracting new private investment, and building the capacity of government ministries to successfully manage and market their tourism assets.  This project aims to contribute to the development of more circular economy tourism business models, and support the growth of women- run tourism businesses.  
• Through the Rebuilding Tourism Competitiveness: Tourism Response, Recovery and Resilience to the COVID-19 Crisis initiative and the Tourism for Development Learning Series , we held webinars, published insights and guidance notes as well as formed new partnerships with Organization of Eastern Caribbean States, United Nations Environment Program, United Nations World Tourism Organization, and World Travel and Tourism Council to exchange knowledge on managing tourism throughout the pandemic, planning for recovery and building back better. The initiative’s key Policy Note has been downloaded more than 20,000 times and has been used to inform recovery initiatives in over 30 countries across 6 regions.
• The Global Aviation Dashboard  is a platform that visualizes real-time changes in global flight movements, allowing users to generate 2D & 3D visualizations, charts, graphs, and tables; and ranking animations for: flight volume, seat volume, and available seat kilometers.  Data is available for domestic, intra-regional, and inter-regional routes across all regions, countries, airports, and airlines on a daily, weekly, or monthly basis from January 2020 until today. The dashboard has been used to track the status and recovery of global travel and inform policy and operational actions.

Traditional Samburu women in Kenya. Photo: hecke61/Shutterstock.

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We-Fi WeTour Women in Tourism Enterprise Surveys (2019)

• Sierra Leone  |  Ghana

Featured Reports 

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• An introduction to tourism concessioning:14 characteristics of successful programs.  The World Bank, 2016)
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Country-Specific

• COVID-19 and Tourism in South Asia: Opportunities for Sustainable Regional Outcomes  (2020)
• Demand Analysis for Tourism in African Local Communities  (2018)
• Tourism in Africa: Harnessing Tourism for Growth and Improved Livelihoods . Africa Development Forum (2014)

COVID-19 Response

• Expecting the Unexpected : Tools and Policy Considerations to Support the Recovery and Resilience of the Tourism Sector (2022)
• Rebuilding Tourism Competitiveness. Tourism response, recovery and resilience to the COVID-19 crisis  (2020)
• COVID-19 and Tourism in South Asia Opportunities for Sustainable Regional Outcomes  (2020)  
• WBG support for tourism clients and destinations during the COVID-19 crisis  (2020)
• Tourism for Development: Tourism Diagnostic Toolkit  (2019)
• Tourism Theory of Change  (2018)

Country   -Specific

• COVID Impact Mitigation Survey Results  (South Africa) (2020)
• COVID Preparedness for Reopening Survey Results  (South Africa) (2020)
• COVID Study  (Fiji) (2020) with   IFC

Featured Blogs

• Louise Twining-Ward and Alba Suris , Bridging the Tourism Data Divide: New Tools for Policymaking
• Fiona Stewart, Samantha Power & Shaun Mann ,  Harnessing the power of capital markets to conserve and restore global biodiversity through “Natural Asset Companies”   | October 12 th  2021
• Mari Elka Pangestu ,  Tourism in the post-COVID world: Three steps to build better forward  | April 30 th  2021
• Hartwig Schafer ,  Regional collaboration can help South Asian nations rebuild and strengthen tourism industry  | July 23 rd  2020
• Caroline Freund ,  We can’t travel, but we can take measures to preserve jobs in the tourism industry  | March 20 th  2020

Featured Webinars

• Destination Management for Resilient Growth . This webinar looks at emerging destinations at the local level to examine the opportunities, examples, and best tools available. Destination Management Handbook
• Launch of the Future of Pacific Tourism. This webinar goes through the results of the new Future of Pacific Tourism report. It was launched by FCI Regional and Global Managers with Discussants from the Asian Development Bank and Intrepid Group.
• Circular Economy and Tourism . This webinar discusses how new and circular business models are needed to change the way tourism operates and enable businesses and destinations to be sustainable.
• Closing the Gap: Gender in Projects and Analytics .  The purpose of this webinar is to raise awareness on integrating gender considerations into projects and provide guidelines for future project design in various sectoral areas.
• WTO Tourism Resilience: Building forward Better. High-level panelists from Sri Lanka, Costa Rica, Jordan and Kenya discuss how donors, governments and the private sector can work together most effectively to rebuild the tourism industry and improve its resilience for the future.
• Tourism Watch
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Launch of Blue Tourism Resource Portal

Introduction: Economics of Tourism, Economics of Destinations, Tourism Studies and Other Related Issues

• First Online: 01 January 2012

Cite this chapter

• Guido Candela 3 &
• Paolo Figini 3  

Part of the book series: Springer Texts in Business and Economics ((STBE))

3741 Accesses

In the early days, research in tourism was mainly stimulated by investigations commissioned by business associations and policy makers rather than by scientific curiosity on open issues and by a clear research agenda (Ashworth 1989). At that time, the research was acritically descriptive and inadequate in the methodology, instruments, and approaches used.

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An interesting analysis of current research themes can be found in Tribe and Xiao ( 2011 ).

The remaining of Sect.  1.4 is mainly borrowed by Candela and Figini ( 2009 ) and (2010b).

In the economic field, the most important journals can be considered Annals of Tourism Research , Journal of Travel Research , Tourism Economics and Tourism Management. Without being exhaustive, the number of journals related to tourism has risen from a dozen to more than 100 in less than 20 years. See Hall ( 2011 ) for a bibliometric analysis and journal ranking.

This sharing of belonging and of disciplinary autonomy confers a reciprocal enrichment between economics and tourism economics, since the “richness” of the tourism phenomenon introduces into applied economics many non-traditional research themes, alongside with the traditional topics of microeconomics and macroeconomics. Therefore, if economics supplies tourism economics with the method and the analytical toolbox, the latter returns a stimulus to research inferred from observation, so contributing to the innovation and richness of its themes: this relationship between abstraction and reality has often proved to be prolific for economics.

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Candela, G., Figini, P. (2012). Introduction: Economics of Tourism, Economics of Destinations, Tourism Studies and Other Related Issues. In: The Economics of Tourism Destinations. Springer Texts in Business and Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20874-4_1

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The relationship between tourism and economic growth among BRICS countries: a panel cointegration analysis

• Haroon Rasool   ORCID: orcid.org/0000-0002-0083-4553 1 ,
• Shafat Maqbool 2 &
• Md. Tarique 1  

Future Business Journal volume  7 , Article number:  1 ( 2021 ) Cite this article

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Tourism has become the world’s third-largest export industry after fuels and chemicals, and ahead of food and automotive products. From last few years, there has been a great surge in international tourism, culminates to 7% share of World’s total exports in 2016. To this end, the study attempts to examine the relationship between inbound tourism, financial development and economic growth by using the panel data over the period 1995–2015 for five BRICS (Brazil, Russia, India, China and South Africa) countries. The results of panel ARDL cointegration test indicate that tourism, financial development and economic growth are cointegrated in the long run. Further, the Granger causality analysis demonstrates that the causality between inbound tourism and economic growth is bi-directional, thus validates the ‘feedback-hypothesis’ in BRICS countries. The study suggests that BRICS countries should promote favorable tourism policies to push up the economic growth and in turn economic growth will positively contribute to international tourism.

Introduction

World Tourism Day 2015 was celebrated around the theme ‘One Billion Tourists; One Billion Opportunities’ highlighting the transformative potential of one billion tourists. With more than one billion tourists traveling to an international destination every year, tourism has become a leading economic sector, contributing 9.8% of global GDP and represents 7% of the world’s total exports [ 59 ]. According to the World Tourism Organization, the year 2013 saw more than 1.087 billion Foreign Tourist Arrivals and US $1075 billion foreign tourism receipts. The contribution of travel and tourism to gross domestic product (GDP) is expected to reach 10.8% at the end of 2026 [ 61 ]. Representing more than just economic strength, these figures exemplify the vast potential of tourism, to address some of the world´s most pressing challenges, including socio-economic growth and inclusive development.

Developing countries are emerging as the important players, and increasingly aware of their economic potential. Once essentially excluded from the tourism industry, the developing world has now become its major growth area. These countries majorly rely on tourism for their foreign exchange reserves. For the world’s forty poorest countries, tourism is the second-most important source of foreign exchange after oil [ 37 ].

The BRICS (Brazil, Russia, India, China and South Africa) countries have emerged as a potential bloc in the developing countries which caters the major tourists from developed countries. Tourism becomes major focus at BRICS Xiamen Summit 2017 held in China. These countries have robust growth rate, and are focal destinations for global tourists. During 1990 to 2014, these countries stride from 11% of the world’s GDP to almost 30% [ 17 ]. Among BRICS countries, China is ranked as an important destination followed by Brazil, Russia, India and South Africa [ 60 ].

The importance of inbound tourism has grown exponentially, because of its growing contribution to the economic growth in the long run. It enhances economic growth by augmenting the foreign exchange reserves [ 38 ], stimulating investments in new infrastructure, human capital and increases competition [ 9 ], promoting industrial development [ 34 ], creates jobs and hence to increase income [ 34 ], inbound tourism also generates positive externalities [ 1 , 14 ] and finally, as economy grows, one can argue that growth in GDP could lead to further increase in international tourism [ 11 ].

The tourism-led growth hypothesis (TLGH) proposed by Balaguer and Cantavella-Jorda [ 3 ], states that expansion of international tourism activities exerts economic growth, hence offering a theoretical and empirical link between inbound tourism and economic growth. Theoretically, the TLGH was directly derived from the export-led growth hypothesis (ELGH) that postulates that economic growth can be generated not only by increasing the amount of labor and capital within the economy, but also by expanding exports.

The ‘new growth theory,’ developed by Balassa [ 4 ], suggests that export expansion can trigger economic growth, because it promotes specialization and raises factors productivity by increasing competition, creating positive externalities by advancing the dispersal of specialized information and abilities. Exports also enhance economic growth by increasing the level of investment. International tourism is considered as a non-standard type of export, as it indicates a source of receipts and consumption in situ. Given the difficulties in measuring tourism activity, the economic literature tends to focus on primary and manufactured product exports, hence neglecting this economic sector. Analogous to the ELGH, the TLGH analyses the possible temporal relationship between tourism and economic growth, both in the short and long run. The question is whether tourism activity leads to economic growth or, alternatively, economic expansion drives tourism growth, or indeed a bi-directional relationship exists between the two variables.

To further substantiate the nexus, the study will investigate the plausible linkages between economic growth and international tourism while considering the relative importance of financial development in the context of BRICS nations. Financial markets are considered a key factor in producing strong economic growth, because they contribute to economic efficiency by diverting financial funds from unproductive to productive uses. The origin of this role of financial development may is traced back to the seminal work of Schumpeter [ 50 ]. In his study, Schumpeter points out that the banking system is the crucial factor for economic growth due to its role in the allocation of savings, the encouragement of innovation, and the funding of productive investments. Early works, such as Goldsmith [ 18 ], McKinnon [ 39 ] and Shaw [ 51 ] put forward considerable evidence that financial development enhances growth performance of countries. The importance of financial development in BRICS economies is reflected by the establishment of the ‘New Development Bank’ aimed at financing infrastructure and sustainable development projects in these and other developing countries. To the best of the authors’ knowledge, no attempt has been made so far to investigate the long-run relationship Footnote 1 between tourism, financial development and economic growth in case of BRICS countries. Hence, the present study is an attempt to fill the gap in the existing literature.

Review of past studies

From last few decades there has been a surge in the research related to tourism-growth nexus. The importance of growth and development and its determinants has been studied extensively both in developed and developing countries. Extant literature has recognized tourism as an important determinant of economic growth. The importance of tourism has grown exponentially, courtesy to its manifold advantages in form of employment, foreign exchange production household income and government revenues through multiplier effects, improvements in the balance of payments and growth in the number of tourism-promoted government policies [ 21 , 41 , 53 ]. Empirical findings on tourism and economic development have produced mixed finding and sometimes conflicting results despite the common choice of time series techniques as a research methodology. On empirical grounds, four hypotheses have been explored to determine the link between tourism and economic growth [ 12 ]. The first two hypotheses present an account on the unidirectional causality between the two variables, either from tourism to economic growth (Tourism-led economic growth hypothesis-TLGH) or its reserve (economic-driven tourism growth hypothesis-EDTH). The other two hypotheses support the existence of bi-directional hypothesis, (bi-directional causality hypothesis-BC) or that there is no relationship at all (no causality hypothesis-NC), respectively. According to TLEG hypothesis, tourism creates an array of benefits which spillover though multiple routes to promote the economic growth [ 55 ]. In particular, it is believed that tourism (1) increases foreign exchange earnings, which in turn can be used to finance imports [ 38 ], (2) it encourages investment and drives local firms toward greater efficiency due to the increased competition [ 3 , 31 ], (3) it alleviates unemployment, since tourism activities are heavily based on human capital [ 10 ] and (4) it leads to positive economies of scale thus, decreasing production costs for local businesses [ 1 , 14 ]. Other recent studies which find evidence in favor of the TLGH hypothesis include [ 44 , 52 ]. Even though literature is dominated by TLGH, few studies produce a result in support of EDTH [ 40 , 41 , 45 ]. Payne and Mervar [ 45 ] posit that tourism growth of a country is mobilized by the stability of well-designed economic policies, governance structures and investments in both physical and human capital. This positive and vibrant environment creates a series of development activities which proliferate and flourish the tourism. Pertaining to the readily available information, bi-directional causality could also exist between tourism income and economic growth [ 34 , 49 ]. From a policy view, a reciprocal tourism–economic growth relationship implies that government agendas should cater for promoting both areas simultaneously. Finally, there are some studies that do not offer support to any of the aforementioned hypotheses, suggesting that the impact between tourism and economic growth is insignificant [ 25 , 47 , 57 ]. There is a vast literature examining the relationship between tourism and growth as a result, only a selective literature review will be presented here.

Banday and Ismail [ 5 ] used ARDL cointegration model to test the relationship between tourism revenue and economic growth in BRICS countries from the time period of (1995–2013). The study validates the tourism-led growth hypothesis for BRICS countries, which evinces that tourism has positive influence on economic growth.

Savaş et al. [ 54 ] evaluated the tourism-led growth hypothesis in the context of Turkey. The study employed gross domestic product, real exchange rate, real total expenditure and international tourism arrivals to sketch out the causality among variables. The result reveals a unidirectional relationship between tourism and real exchange rate. The findings suggest that tourism is the driving force for economic growth, which in turn helps turkey to culminate its current account deficit.

Dhungel [ 15 ] made an effort to investigate causality between tourism and economic growth, In Nepal for the period of (1974–2012), by using Johansen’s cointegration and Error correction model. The result states that unidirectional causality exists in the long run, while in short run no causality exists between two constructs. The study emphasized that strategies should be devised to attain causality running from tourism to economic growth.

Mallick et al. [ 36 ] analyzed the nexus between economic growth and tourism in 23 Indian states over a period of 14 years (1997–2011). Using panel autoregressive distributed lag model based on three alternative estimators such as mean group estimator, pooled mean group and dynamic fixed effects, Research found that tourism exerts positive influence on economic growth in the long run.

Belloumi [ 8 ] examines the causal relationship between international tourism receipts and economic growth in Tunisia by using annual time series data for the period 1970–2007. The study uses the Johansen’s cointegration methodology to analyze the long-run relationship among the concerned variables. Granger causality based Vector error correction mechanism approach indicates that the revenues generated from tourism have a positive impact on economic growth of Tunisia. Thus, the study supports the hypothesis of tourism-driven economic growth, which is specific to developing countries that base their foreign exchange earnings on the existence of a comparative advantage in certain sectors of the economy.

Tang et al. [ 58 ] explored the dynamic Inter-relationships among tourism, economic growth and energy consumption in India for the period 1971–2012. The study employed Bounds testing approach to cointegration and generalized variance decomposition methods to analyze the relationship. The bounds testing and the Gregory-Hansen test for cointegration with structural breaks consistently reveals that energy consumption, tourism and economic growth in India are cointegrated. The study demonstrated that tourism and economic growth have positive impact on energy consumption, while tourism and economic growth are interrelated; with tourism exert significant influence on economic growth. Consequently, this study validates the tourism-led growth hypothesis in the Indian context.

Kadir and Karim [ 24 ]) examined the causal nexus between tourism and economic growth in Malaysia by applying panel time series approach for the period 1998–2005. By applying Padroni’s panel cointegration test and panel Granger causality test, the result indicated both short and long-run relationship. Further, the panel causality shows unidirectional causality directing from tourism receipts to economic growth. The result provides evidence of the significant contribution of tourism industry to Malaysia’s economic growth, thereby justifying the necessity of public intervention in providing tourism infrastructure and facilities.

Antonakakis et al. [ 2 ] test the linkage between tourism and economic growth in Europe by using a newly introduced spillover index approach. Based on monthly data for 10 European countries over the period 1995–2012, the findings suggested that the tourism–economic growth relationship is not stable over time in terms of both magnitude and direction, indicating that the tourism-led economic growth (TLEG) and the economic-driven tourism growth (EDTG) hypotheses are time-dependent. Thus, the findings of the study suggest that the same country can experience tourism-led economic growth or economic-driven tourism growth at different economic events.

Oh [ 41 ] verifies the contribution of tourism development to economic growth in the Korean economy by applying Engle and Granger two-stage approach and a bivariate Vector Autoregression model. He claimed that economic expansion lures tourists in the short run only, while there is no such long-run stable relationship between international tourism and economic development in Korea.

Empirical studies have pronouncedly focused on the literature that tourism promotes economic growth. To further substantiate the nexus, the study will investigate the plausible linkages between economic growth and international tourism while considering the relative importance of financial development in the context of BRICS nations. The inclusion of financial development in the examination of tourism-growth nexus is a unique feature of this study, which have an influencing role in economic growth as financial development has been theoretically and empirically recognized as source of comparative advantage [ 22 ].

This study employs panel ARDL cointegration approach to verify the existence of long-run association among the variables. Further, study estimated the long-run and short-run coefficients of the ARDL model. Subsequently, Dumitrescu and Hurlin [ 16 ] panel Granger causality test has been employed to check the direction of causality between tourism, financial development and economic growth among BRICS countries.

Database and methodology

Data and variables.

The study is analytical and empirical in nature, which intends to establish the relationship between economic growth and inbound tourism in BRICS countries. For the BRICS countries, limited studies have been conducted depicting the present scenario. Therefore, present study tries to verify the relevance of tourism in economic growth to further enhance the understanding of economic dynamics in BRICS countries. The data used in the study are annual figures for the period stretching from 1995 to 2015, consisting of one endogenous variable (GDP per capita, a proxy for economic growth) and two exogenous variables (international tourism receipts per capita and financial development). The variables employed in the study are based on the economic growth theory, proposed by Balassa [ 4 ], which states that export expansion has a relevant contribution in economic growth. Further, this study incorporates financial development in the model to reduce model misspecification as it is considered to have an influencing role in economic growth both theoretically and empirically [ 22 , 33 ].

The annual data for all the variables have been collected from the World Development Indicators (WDI, 2016) database. The variables used in the study includes gross domestic product per capita (GDP) in constant ($US2010) used as a proxy for economic growth (EG), international tourism receipts per capita (TR) in current US$ as it is widely accepted that the most adequate proxy of inbound tourism in a country is tourism expenditure normally expressed in terms of tourism receipts [ 32 ] and financial development (FD). In line with a recent study on the relationship between financial development and economic growth by Hassan et al. [ 19 ], financial development is surrogated by the ratio of the broad money (M3) to real GDP for all BRICS countries. Here we use the broadest definition of money (M3) as a proportion of GDP– to measure the liquid liabilities of the banking system in the economy. We use M3 as a financial depth indicator, because monetary aggregates, such as M2 or M1, may be a poor proxy in economies with underdeveloped financial systems, because they ‘are more related to the ability of the financial system to provide transaction services than to the ability to channel funds from savers to borrowers’ [ 26 ]. A higher liquidity ratio means higher intensity in the banking system. The assumption here is that the size of the financial sector is positively associated with financial services [ 29 ]. All the variables have been taken into log form.

Unit root test

To verify the long-run relationship between tourism and economic growth through Bounds testing approach, it is necessary to test for stationarity of the variables. The stationarity of all the variables can be assessed by different unit root tests. The study utilizes panel unit root test proposed by Levin et al. [ 35 ] henceforth LLC and Im et al. [ 23 ] henceforth IPS based on traditional augmented Dickey–Fuller (ADF) test. The LLC allows for heterogeneity of the intercepts across members of the panel under the null hypothesis of presence of unit root, while IPS allows for heterogeneity in intercepts as well as in the slope coefficients [ 48 ].

Panel ARDL approach to Cointegration

After checking the stationarity of the variables the study employs panel ARDL technique for Cointegration developed by Pesaran et al. [ 23 ]. Pesaran et al. [ 23 ] have introduced the pooled mean group (PMG) approach in the panel ARDL framework. According to Pesaran et al. [ 23 ], the homogeneity in the long-run relationship can be attributed to several factors such as arbitration condition, common technologies, or the institutional development which was covered by all groups. The panel ARDL bounds test [ 46 ] is more appropriate by comparing other cointegration techniques, because it is flexible regarding unit root properties of variables. This technique is more suitable when variables are integrated at different orders but not I (2). Haug [ 20 ] has argued that panel ARDL approach to cointegration provides better results for small sample data set such as in our case. The ARDL approach to cointegration estimates both long and short-run parameters and can be applied independently of variable order integration (independent of whether repressors are purely I (0), purely I(1) or combination of both. The ARDL bounds test approach used in this study is specified as follows:

where Δ is the first-difference operator, \(\alpha_{0}\) stands for constant, t is time element, \(\omega_{1} , \omega_{2} \;\;{\text{and}}\;\; \omega_{3}\) represent the short-run parameters of the model, \(\emptyset_{1} , \emptyset_{2} ,and \emptyset_{3}\) are long-run coefficients, while \(V_{it}\) is white noise error term and lastly, it represents country at a particular time period. In the ARDL model, the bounds test is applied to determine whether the variables are cointegrated or not.

This test is based on the joint significance of F -statistic and the χ 2 statistic of the Wald test. The null hypothesis of no cointegration among the variables under study is examined by testing the joint significance of the F -statistic of \(\omega_{1} , \omega_{2} ,\omega_{3}\) .

In case series variables are cointegrated, an error correction mechanism (ECM) can be developed as Eq. ( 2 ), to assess the short-run influence of international tourism and financial development on economic growth.

where ECT is the error correction term, and \(\varPhi\) is its coefficient which shows how fast the variables attain long-term equilibrium if there is any deviation in the short run. The error correction term further confirms the existence of a stable long-run relationship among the variables.

Panel granger causality test

To examine the direction of causality Dumitrescu and Hurlin [ 16 ] test is employed. Instead of pooled causality, Dumitrescu and Hurlin [ 16 ] proposed a causality based on the individual Wald statistic of Granger non-causality averaged across the cross section units. Dumitrescu and Hurlin [ 16 ] assert that traditional test allows for homogeneous analysis across all panel sets, thereby neglecting the specific causality across different units.

This approach allows heterogeneity in coefficients across cross section panels. The two statistics Wbar-statistics and Zbar-statistics provides standardized version of the statistics and is easier to compute. Wbar-statistic, takes an average of the test statistics, while the Zbar-statistic shows a standard (asymptotic) normal distribution.

They proposed an average Wald statistic that tests the null hypothesis of no causality in a panel subgroup against an alternative hypothesis of causality in at least one panel. Following equations will be used to check the direction of causality between the variables.

Estimation, results and Discussion

Descriptive statistics.

Table  1 presents descriptive statistics of variables selected for the period 1995–2015. The variable set includes GDP, FD and TR for all BRICS countries. Brazil tops the list with GDP per capita of 4.18, while India lagging behind all BRICS nations. In the recent economic survey by International Monetary Fund (IMF report 2016), India was ranked 126 for its per capita GDP. India’s GDP per capita went up to $7170 against all other BRICS countries which were placed in the above $10,000 bracket. China has the highest tourism receipts in comparison to other BRICS countries. China is a very popular country for foreign tourists, which ranks third after France and USA. In 2014, China invested $136.8 billion into its tourist infrastructure, a figure second only to the United States ($144.3 billion). Tourism, based on direct, indirect, and induced impact, accounted for near 10% in the GDP of China (WTTC report 2017).

Stationarity results

Primarily, we employed LLC and IPS unit root test to assess the integrated properties of the series. The results of IPS and PP tests are presented in Table  2 . Panel unit root test result evinces that FD and TR are stationary at level, while GDP per capita is integrated variable of order 1. The result exemplifies that GDP per capita, Tourism receipts and Financial Development are integrated at 1(0) and 1(1). Consequently, the panel ARDL approach to cointegration can be applied.

Cointegration test results

In view of the above results with a mixture of order integration, the panel ARDL approach to cointegration is the most appropriate technique to investigate whether there exists a long-run relationship among the variables [ 42 ]. Table  3 illustrates that the estimated value of F-statistics, which is higher than the lower and upper limit of the bound value, when InEG is used as a dependent variable. Hence, we reject the null hypothesis of no cointegration \(H_{0 } : \emptyset_{1} = \emptyset_{2} = \emptyset_{3} = 0\) of Eq. ( 1 ). Therefore, the result asserts that international tourism, financial development and economic growth are significantly cointegrated over the period (1995–2015).

Subsequently, the study investigates the long-run and short-run impact of international tourism and financial development on economic growth. Lag length is selected on the principle of minimum Bayesian information criterion (SBC) value, which is 2 in our case. The long-run coefficients of financial development and tourism receipts with respect to economic growth in Table  4 indicate that tourism growth and financial development exerts positive influence on economic growth in the long run. In other words, an increase in volume of tourism receipts per capita and financial depth spurs economic growth and both the coefficients are statistically significant in case of BRICS nations in the long run. The results are interpreted in detail as below:

The elasticity coefficient of economic growth with respect to tourism shows that 1% rise in international tourism receipts per capita would imply an estimated increase of almost 0.31% domestic real income in the long run, all else remaining the same. Thus, the earnings in the form of foreign exchange from international tourism affect growth performance of BRICS nations positively. This finding of our study is in consonance with the empirical results of Kreishan for Jordan [ 30 ], Balaguer and Cantavella-Jordá [ 3 ] for Spain and Ohlan [ 43 ] for India.

Further our finding lend support to the wide applicability of the new growth theory proposed by Balassa which states that export expansion promote growth performance of nations. Thus, validates TLGH coined by Balaguer and Cantavell-Jorda [ 3 ] which states that inbound tourism acts a long-run economic growth factor. The so called tourism-led growth hypothesis suggests that the development of a country’s tourism industry will eventually lead to higher economic growth and, by extension, further economic development via spillovers and other multiplier effects.

Likewise, financial development as expected is found to be positively associated with economic growth. The coefficient of financial development states that 1% improvement in financial development will push up economic growth by 0.22% in the long run, keeping all other variables constant. The empirical results are consistent with the finding of Hassan et al. [ 19 ] for a panel of South Asian countries. Well-regulated and properly functioning financial development enhances domestic production through savings, borrowings & investment activities and boosts economic growth. Further, it promotes economic growth by increasing efficiency [ 7 ]. Levine [ 33 ] believes that financial intermediaries enhance economic efficiency, and ultimately growth, by helping allocation of capital to its best use. Modern growth theory identifies two specific channels through which the financial sector might affect long-run growth; through its impact on capital accumulation and through its impact on the rate of technological progress. The sub-prime crisis which depressed the economic growth worldwide in 2007 further substantiates the growth-financial development nexus.

In the third and final step of the bounds testing procedure, we estimate short-run dynamics of variables by estimating an error correction model associated with long-run estimates. The empirical finding indicates that the coefficient of error correction term (ECT) with one period lag is negative as well as statistically significant. This finding further substantiates the earlier cointegration results between tourism, financial development and economic growth, and indicates the speed of adjustment from the short-run toward long-run equilibrium path. The coefficient of ECT reveals that the short-run divergences in economic growth from long-run equilibrium are adjusted by 43% every year following a short-run shock.

The short-run parameters in Table  5 demonstrates that tourism and financial development acts as an engine of economic growth in the short run as well. The coefficient of both tourism receipts per capita and financial development with one period lag is also found to be progressive and significant in the short run. These results highlight the role of earnings from international tourism and financial stability as an important driving force of economic growth in BRICS nations in the short run as well.

Further, a comparison between short-run and long-run elasticity coefficients evince that long-run responsiveness of economic growth with respect to tourism and financial development is higher than that of short run. It exemplifies that over time higher international tourism receipts and well-regulated financial system in BRICS nations give more boost to economic growth.

Analysis of causality

At this stage, we investigate the causality between tourism, financial development and economic growth presented in Table  6 . The result shows bi-directional causal relationship between tourism and economic growth, thereby validates ‘feedback hypothesis’ and consequently supported both the tourism-led growth hypothesis (TLGH) and its reciprocal, the economic-driven tourism growth hypothesis (EDTH). The bi-directional causality between inbound tourism and GDP, which directs the level of economic activity and tourism growth, mutually influences each other in that a high volume of tourism growth leads to a high level of economic development and reverse also holds true. These results replicate the findings of Banday and Ismail [ 5 ] in the context of BRICS countries, Yazdi et al. [ 27 ] for Iran and Kim et al. [ 28 ] for Taiwan. One of the channels through which tourism spurs economic growth is through the use of receipts earned in the form of foreign currency. Thus, growth in foreign earnings may allow the import of technologically advances goods that will favor economic growth and vice versa. Thus, results demonstrate that international tourism promotes growth and in turn economic expansion is necessary for tourism development in case of BRICS countries. With respect to policy context, this finding suggests that the BRICS nations should focus on economic policies to promote tourism as a potential source of economic growth which in turn will further promote tourism growth.

Similarly, in case of economic growth and financial development, the findings demonstrate the presence of bi-directional causality between two constructs. The findings validate thus both ‘demand following’ and supply leading’ hypothesis. The findings suggests that indeed financial development plays a crucial role in promoting economic activity and thus generating economic growth for these countries and reverse also holds. Our findings are in line with Pradhan [ 48 ] in case of BRICS countries and Hassan et al. [ 19 ] for low and middle-income countries. This suggests that finance development can be used as a policy variable to foster economic growth in the five BRICS countries and vice versa. The study emphasizes that the current economic policies should recognize the finance-growth nexus in BRICS in order to maintain sustainable economic development in the economy. The empirical results in this paper are in line with expectations, confirming that the emerging economies of the BRICS are benefiting from their finance sectors.

Finally, two-sided causal relationship is found between tourism receipts and financial development. That is, tourism might contribute to financial development and, in return, financial development may positively contribute to tourism. This means that financial depth and tourism in BRICS have a reinforcing interaction. The positive impact of tourism on financial development can be attributed to the fact that inflows of foreign exchange via international tourism not only increases income levels but also leads to rise in official reserves of central banks. This in turn enables central banks to adapt expansionary monetary policy. The positive contribution of financial sector to tourism is further characterized by supply leading hypothesis. Further, better financial and market conditions will attract tourism entrepreneurship, because firms will be able to use more capital instead of being forced to use leveraging [ 13 ]. Hence, any shocks in money supply could adversely affect tourism industry in these countries. Song and Lin [ 56 ] found that global financial crisis had a negative impact on both inbound and outbound tourism in Asia. This result is in consistent with Başarir and Çakir [ 6 ] for Turkey and four European countries.

Stability tests

In addition, to test the stability of parameters estimated and any structural break in the model CUSUM and CUSUMSQ tests are employed. Figs.  1 and 2 show blue line does not transcend red lines in both the tests, thus provides strong evidence that our estimated model is fit and valid policy implications can be drawn from the results.

Plot of CUSUM

Plot of CUSUMQ

Summary and concluding remarks

A rigorous study of the relationship between tourism and economic growth, through the tourism-led growth hypothesis (TLGH) perspective has remained a debatable issue in the economic growth literature. This study aims to empirically investigate the relationship between inbound tourism, financial development and economic growth in BRICS countries by utilizing the panel data over the period 1995–2015. The study employs the panel ARDL approach to cointegration and Dumitrescu-Hurlin panel Granger causality test to detect the direction of causation.

To the best of authors’ knowledge, this is the first study which explored the relationship between economic growth and tourism while considering the relative importance of financial development in the context of BRICS nations. The empirical results of ARDL model posits that in BRICS countries inbound tourism, financial development and economic growth are significantly cointegrated, i.e., variables have stable long-run relationship. This methodology has allowed obtaining elasticities of economic growth with respect to tourism and financial development both in the long run and short run. The result reveals that international tourism growth and financial development positively affects economic growth both in the long run and short run. The coefficient of tourism indicates that with a 1% rise in tourism receipts per capita, GDP per capita of BRICS economies will go up by 0.31% in the long run. This finding lends support to TLGH coined by Balaguer and Cantavell-Jorda [ 3 ] which states that inbound tourism acts a long-run economic growth factor. The so called tourism-led growth hypothesis suggests that the development of a country’s tourism industry will eventually lead to higher economic growth and, by extension, further economic development via spillovers and other multiplier effects.

Likewise, 1% improvement in financial development, on average, will increase economic growth in BRICS countries by 0.22% in the long run. The result seems logical as modern growth theory identifies two channels through which the financial sector might affect long-run growth: first, through its impact on capital accumulation and secondly, through its impact on the rate of technological progress. The sub-prime crisis which hit the economic growth Worldwide in 2007 further substantiates the growth-financial development nexus.

The negative and statistically significant coefficient of lagged error correction term (ECT) further substantiates the long-run equilibrium relationship among variables. The negative coefficient of ECT also shows the speed of adjustment toward long-run equilibrium is 43% per annum if there is any short-run deviation. The estimates of parameters are found to be stable by applying CUSUM and CUSUMQ for the time period under consideration. Therefore, inbound tourism earnings and financial institutions can be used as a channel to increase economic growth in BRICS economies.

Further, Granger causality test result indicates the bi-directional causation in all cases. Hence, the causal relationship between international tourism and economic growth is bi-directional. And, consequently this empirical finding lends support to both the tourism-led growth hypothesis (TLGH) and its reciprocal, the economic-driven tourism growth hypothesis (EDTH). This means that tourism is not only an engine for economic growth, but the economic outcome on itself can play an important role in providing growth potential to tourism sector.

The Granger causality findings provide useful information to governments to examine their economic policy, to adjust priorities regarding economic investment, and boost their economic growth with the given limited resources. Thus, it is suggested that more resources should be allocated to tourism industry and tourism-related industries if the tourism-led growth hypothesis holds true. On the other side, if economic-driven tourism growth is supported then more resources should be diverted to leading industries rather than the travel and tourism sector, and the tourism industry will in turn benefit from the resulting overall economic growth. And, when bi-directional causality is detected, a balanced allocation of economic resources for the travel and tourism sector and other industries is important and necessary. The policy implication is that resource allocation supporting both the tourism and tourism-related industries could benefit both tourism development and economic growth.

To sum up, the major finding of this study lends support to wide applicability of the tourism-led growth hypothesis in case of BRICS countries. Thus, in the Policy context, significant impact of tourism on BRICS economy rationalizes the need of encouraging tourism. Tourism can spur economic prosperity in these countries and for this reason; policymakers should give serious consideration toward encouraging tourism industry or inbound tourism. BRICS countries should focus more on tourism infrastructure, such as, convenient transportation, alluring destinations, suitable tax incentives, viable hostels and proper security arrangements to attract the potential tourists. Most of these countries are devoid of rich facilities and popular tourist incentives, to get promoted as important destination and in the long-run promotes economic growth. Further, they need a staunch support from all sections of authorities, non-government organizations (NGOs), and private and allied industries, in the endeavor to attain sustainable growth in tourism. Both state and non-state actors must recognize this growing industry and its positive implication on economy.

For future research, we suggest that researchers should consider the nonlinear factor in the dynamic relationship of tourism and economic growth in case of BRICS countries. Further one can go for comparative study to examine the TLGH in BRICS countries.

Availability of data and materials

Data used in the study can be provided by the corresponding author on request.

There are no fixed definitions of short, medium and long run and generally in macroeconomics, short run can be viewed as 1 to 2 or 3 years, medium up to 5 years and long run from 5 years to 20 or 25 years.

Abbreviations

autoregressive distributed lag model

Brazil, Russia, India, China and South-Africa

United Nations World Tourism Organization

World Travel & Tourism Council

gross domestic product

world development indicators

tourism-led growth hypothesis

export-led growth hypothesis

economic-driven tourism hypothesis

augmented Dickey–Fuller test

error correction model

error correction term

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Haroon Rasool & Md. Tarique

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Rasool, H., Maqbool, S. & Tarique, M. The relationship between tourism and economic growth among BRICS countries: a panel cointegration analysis. Futur Bus J 7 , 1 (2021). https://doi.org/10.1186/s43093-020-00048-3

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• Economic growth
• Inbound tourism
• Financial development
• Cointegration
• Panel granger causality

JEL Classification

Reimagining the $9 trillion tourism economy—what will it take?

Tourism made up 10 percent of global GDP in 2019 and was worth almost $9 trillion, 1 See “Economic impact reports,” World Travel & Tourism Council (WTTC), wttc.org. making the sector nearly three times larger than agriculture. However, the tourism value chain of suppliers and intermediaries has always been fragmented, with limited coordination among the small and medium-size enterprises (SMEs) that make up a large portion of the sector. Governments have generally played a limited role in the industry, with partial oversight and light-touch management.

COVID-19 has caused an unprecedented crisis for the tourism industry. International tourist arrivals are projected to plunge by 60 to 80 percent in 2020, and tourism spending is not likely to return to precrisis levels until 2024. This puts as many as 120 million jobs at risk. 2 “International tourist numbers could fall 60-80% in 2020, UNWTO reports,” World Tourism Organization, May 7, 2020, unwto.org.

Reopening tourism-related businesses and managing their recovery in a way that is safe, attractive for tourists, and economically viable will require coordination at a level not seen before. The public sector may be best placed to oversee this process in the context of the fragmented SME ecosystem, large state-owned enterprises controlling entry points, and the increasing impact of health-related agencies. As borders start reopening and interest in leisure rebounds in some regions , governments could take the opportunity to rethink their role within tourism, thereby potentially both assisting in the sector’s recovery and strengthening it in the long term.

In this article, we suggest four ways in which governments can reimagine their role in the tourism sector in the context of COVID-19.

1. Streamlining public–private interfaces through a tourism nerve center

Before COVID-19, most tourism ministries and authorities focused on destination marketing, industry promotions, and research. Many are now dealing with a raft of new regulations, stimulus programs, and protocols. They are also dealing with uncertainty around demand forecasting, and the decisions they make around which assets—such as airports—to reopen will have a major impact on the safety of tourists and sector employees.

Coordination between the public and private sectors in tourism was already complex prior to COVID-19. In the United Kingdom, for example, tourism falls within the remit of two departments—the Department for Business, Energy, and Industrial Strategy (BEIS) and the Department for Digital, Culture, Media & Sport (DCMS)—which interact with other government agencies and the private sector at several points. Complex coordination structures often make clarity and consistency difficult. These issues are exacerbated by the degree of coordination that will be required by the tourism sector in the aftermath of the crisis, both across government agencies (for example, between the ministries responsible for transport, tourism, and health), and between the government and private-sector players (such as for implementing protocols, syncing financial aid, and reopening assets).

Concentrating crucial leadership into a central nerve center  is a crisis management response many organizations have deployed in similar situations. Tourism nerve centers, which bring together public, private, and semi-private players into project teams to address five themes, could provide an active collaboration framework that is particularly suited to the diverse stakeholders within the tourism sector (Exhibit 1).

We analyzed stimulus packages across 24 economies, 3 Australia, Bahrain, Belgium, Canada, Egypt, Finland, France, Germany, Hong Kong, Indonesia, Israel, Italy, Kenya, Malaysia, New Zealand, Peru, Philippines, Singapore, South Africa, South Korea, Spain, Switzerland, Thailand, and the United Kingdom. which totaled nearly $100 billion in funds dedicated directly to the tourism sector, and close to $300 billion including cross-sector packages with a heavy tourism footprint. This stimulus was generally provided by multiple entities and government departments, and few countries had a single integrated view on beneficiaries and losers. We conducted surveys on how effective the public-sector response has been and found that two-thirds of tourism players were either unaware of the measures taken by government or felt they did not have sufficient impact. Given uncertainty about the timing and speed of the tourism recovery, obtaining quick feedback and redeploying funds will be critical to ensuring that stimulus packages have maximum impact.

2. Experimenting with new financing mechanisms

Most of the $100 billion stimulus that we analyzed was structured as grants, debt relief, and aid to SMEs and airlines. New Zealand has offered an NZ $15,000 (US $10,000) grant per SME to cover wages, for example, while Singapore has instituted an 8 percent cash grant on the gross monthly wages of local employees. Japan has waived the debt of small companies where income dropped more than 20 percent. In Germany, companies can use state-sponsored work-sharing schemes for up to six months, and the government provides an income replacement rate of 60 percent.

Our forecasts indicate that it will take four to seven years for tourism demand to return to 2019 levels, which means that overcapacity will be the new normal in the medium term. This prolonged period of low demand means that the way tourism is financed needs to change. The aforementioned types of policies are expensive and will be difficult for governments to sustain over multiple years. They also might not go far enough. A recent Organisation for Economic Co-operation and Development (OECD) survey of SMEs in the tourism sector suggested more than half would not survive the next few months, and the failure of businesses on anything like this scale would put the recovery far behind even the most conservative forecasts. 4 See Tourism policy responses to the coronavirus (COVID-19), OECD, June 2020, oecd.org. Governments and the private sector should be investigating new, innovative financing measures.

Revenue-pooling structures for hotels

One option would be the creation of revenue-pooling structures, which could help asset owners and operators, especially SMEs, to manage variable costs and losses moving forward. Hotels competing for the same segment in the same district, such as a beach strip, could have an incentive to pool revenues and losses while operating at reduced capacity. Instead of having all hotels operating at 20 to 40 percent occupancy, a subset of hotels could operate at a higher occupancy rate and share the revenue with the remainder. This would allow hotels to optimize variable costs and reduce the need for government stimulus. Non-operating hotels could channel stimulus funds into refurbishments or other investment, which would boost the destination’s attractiveness. Governments will need to be the intermediary between businesses through auditing or escrow accounts in this model.

Joint equity funds for small and medium-size enterprises

Government-backed equity funds could also be used to deploy private capital to help ensure that tourism-related SMEs survive the crisis (Exhibit 2). This principle underpins the European Commission’s temporary framework for recapitalization of state-aided enterprises, which provided an estimated €1.9 trillion in aid to the EU economy between March and May 2020. 5 See “State aid: Commission expands temporary framework to recapitalisation and subordinated debt measures to further support the economy in the context of the coronavirus outbreak,” European Commission, May 8, 2020, ec.europa.eu. Applying such a mechanism to SMEs would require creating an appropriate equity-holding structure, or securitizing equity stakes in multiple SMEs at once, reducing the overall risk profile for the investor. In addition, developing a standardized valuation methodology would avoid lengthy due diligence processes on each asset. Governments that do not have the resources to co-invest could limit their role to setting up those structures and opening them to potential private investors.

3. Ensuring transparent, consistent communication on protocols

The return of tourism demand requires that travelers and tourism-sector employees feel—and are—safe. Although international organizations such as the International Air Transport Association (IATA), and the World Travel & Tourism Council (WTTC) have developed a set of guidelines to serve as a baseline, local regulators are layering additional measures on top. This leads to low levels of harmonization regarding regulations imposed by local governments.

Our surveys of traveler confidence in the United States  suggests anxiety remains high, and authorities and destination managers must work to ensure travelers know about, and feel reassured by, protocols put in place for their protection. Our latest survey of traveler sentiment in China  suggests a significant gap between how confident travelers would like to feel and how confident they actually feel; actual confidence in safety is much lower than the expected level asked a month before.

One reason for this low level of confidence is confusion over the safety measures that are currently in place. Communication is therefore key to bolstering demand. Experience in Europe indicates that prompt, transparent, consistent communications from public agencies have had a similar impact on traveler demand as CEO announcements have on stock prices. Clear, credible announcements regarding the removal of travel restrictions have already led to increased air-travel searches and bookings. In the week that governments announced the removal of travel bans to a number of European summer destinations, for example, outbound air travel web search volumes recently exceeded precrisis levels by more than 20 percent in some countries.

The case of Greece helps illustrate the importance of clear and consistent communication. Greece was one of the first EU countries to announce the date of, and conditions and protocols for, border reopening. Since that announcement, Greece’s disease incidence has remained steady and there have been no changes to the announced protocols. The result: our joint research with trivago shows that Greece is now among the top five summer destinations for German travelers for the first time. In July and August, Greece will reach inbound airline ticketing levels that are approximately 50 percent of that achieved in the same period last year. This exceeds the rate in most other European summer destinations, including Croatia (35 percent), Portugal (around 30 percent), and Spain (around 40 percent). 6 Based on IATA Air Travel Pulse by McKinsey. In contrast, some destinations that have had inconsistent communications around the time frame of reopening have shown net cancellations of flights for June and July. Even for the high seasons toward the end of the year, inbound air travel ticketing barely reaches 30 percent of 2019 volumes.

Digital solutions can be an effective tool to bridge communication and to create consistency on protocols between governments and the private sector. In China, the health QR code system, which reflects past travel history and contact with infected people, is being widely used during the reopening stage. Travelers have to show their green, government-issued QR code before entering airports, hotels, and attractions. The code is also required for preflight check-in and, at certain destination airports, after landing.

4. Enabling a digital and analytics transformation within the tourism sector

Data sources and forecasts have shifted, and proliferated, in the crisis. Last year’s demand prediction models are no longer relevant, leaving many destinations struggling to understand how demand will evolve, and therefore how to manage supply. Uncertainty over the speed and shape of the recovery means that segmentation and marketing budgets, historically reassessed every few years, now need to be updated every few months. The tourism sector needs to undergo an analytics transformation to enable the coordination of marketing budgets, sector promotions, and calendars of events, and to ensure that products are marketed to the right population segment at the right time.

Governments have an opportunity to reimagine their roles in providing data infrastructure and capabilities to the tourism sector, and to investigate new and innovative operating models. This was already underway in some destinations before COVID-19. Singapore, for example, made heavy investments in its data and analytics stack over the past decade through the Singapore Tourism Analytics Network (STAN), which provided tourism players with visitor arrival statistics, passenger profiling, spending data, revenue data, and extensive customer-experience surveys. During the COVID-19 pandemic, real-time data on leading travel indicators and “nowcasts” (forecasts for the coming weeks and months) could be invaluable to inform the decisions of both public-sector and private-sector entities.

This analytics transformation will also help to address the digital gap that was evident in tourism even before the crisis. Digital services are vital for travelers: in 2019, more than 40 percent of US travelers used mobile devices to book their trips. 7 Global Digital Traveler Research 2019, Travelport, marketing.cloud.travelport.com; “Mobile travel trends 2019 in the words of industry experts,” blog entry by David MacHale, December 11, 2018, blog.digital.travelport.com. In Europe and the United States, as many as 60 percent of travel bookings are digital, and online travel agents can have a market share as high as 50 percent, particularly for smaller independent hotels. 8 Sean O’Neill, “Coronavirus upheaval prompts independent hotels to look at management company startups,” Skift, May 11, 2020, skift.com. COVID-19 is likely to accelerate the shift to digital as travelers look for flexibility and booking lead times shorten: more than 90 percent of recent trips in China  were booked within seven days of the trip itself. Many tourism businesses have struggled to keep pace with changing consumer preferences around digital. In particular, many tourism SMEs have not been fully able to integrate new digital capabilities in the way that larger businesses have, with barriers including language issues, and low levels of digital fluency. The commission rates on existing platforms, which range from 10 percent for larger hotel brands to 25 percent for independent hotels, also make it difficult for SMEs to compete in the digital space.

Governments are well-positioned to overcome the digital gap within the sector and to level the playing field for SMEs. The Tourism Exchange Australia (TXA) platform, which was created by the Australian government, is an example of enabling at scale. It acts as a matchmaker, connecting suppliers with distributors and intermediaries to create packages attractive to a specific segment of tourists, then uses tourist engagement to provide further analytical insights to travel intermediaries (Exhibit 3). This mechanism allows online travel agents to diversify their offerings by providing more experiences away from the beaten track, which both adds to Australia’s destination attractiveness, and gives small suppliers better access to customers.

Governments that seize the opportunity to reimagine tourism operations and oversight will be well positioned to steer their national tourism industries safely into—and set them up to thrive within—the next normal.

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Margaux Constantin is an associate partner in McKinsey’s Dubai office, Steve Saxon is a partner in the Shanghai office, and Jackey Yu  is an associate partner in the Hong Kong office.

The authors wish to thank Hugo Espirito Santo, Urs Binggeli, Jonathan Steinbach, Yassir Zouaoui, Rebecca Stone, and Ninan Chacko for their contributions to this article.

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Tourism is an important driver of economic prosperity, jobs, income and wellbeing in OECD countries and beyond. Awareness of the sector’s role as an economic and social force has been elevated at the highest levels, following the near complete shutdown of tourism during the COVID-19 pandemic. However, rapid and unbalanced tourism development also brings challenges for people, places and businesses. We analyse policies and structural changes impacting the development of tourism and provide policy makers with policy solutions, data, expertise and good practices to set tourism on a path to a more resilient, sustainable and inclusive future. 

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Key messages, co-ordinated, forward-looking action is needed to set tourism on a path to a more resilient, sustainable and inclusive future..

The pandemic and other recent crises have been an opportunity to rethink the tourism system, and move toward fairer, more sustainable and resilient models of tourism development. This requires policies that address structural weaknesses and address the tourism management and unbalanced development issues that continue to impede the sector and prevent the jobs, well-being and other benefits from tourism flowing to local communities. Policy interventions will also be necessary to advance the digital and low-carbon transitions. Governments need to consider these issues as they design and put in place comprehensive tourism recovery strategies and action plans.

Improving the evidence base is key to ensuring that tourism policies are targeted to meet strategic objectives

Improving the evidence base to inform tourism policy and business decisions is a key policy priority. Effective policy making, planning and management all rely on the availability of robust evidence, preferably in the form of reliable and timely data that is sufficiently disaggregated and comparable across destinations and territorial levels. More progress is also needed to better measure the economic, environmental and social dimensions of tourism, and develop timely and robust indicators and tools to monitor the effectiveness of tourism policies and the resilience and sustainability of tourism development.

Tourism is a driver of economic prosperity and well-being

The direct economic impact of the tourism sector is far-reaching and has knock-on consequences for the wider economy. Before the pandemic, the tourism sector directly contributed 4.4% of GDP and 6.9% of employment, and tourism generated 20.5% of service-related exports in OECD countries, on average. The unprecedented shock from COVID-19 saw the average direct contribution of tourism to GDP fall to 2.8% in 2020 across OECD countries with data available. This equates to an average decline of 1.9 percentage points compared to pre-COVID-19.

Latest insights

• External blog Ask not, “What our city can do to foster tourism, but what tourism can do for our city?” oecdcogito.blog 8 July 2024
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Related publications

Related events

Global Forum on Tourism Statistics, Knowledge and Policies

The Global Forum on Tourism Statistics, Knowledge and Policies provides a unique platform for the regular exchange ideas, views and experiences to address issues high on the global tourism agenda. It brings together policy-makers, statisticians and leaders from the private sector and civil society to discuss relevant and emerging tourism policy issues, and their overarching implications for policy implementation and the supporting data infrastructure, in collaboration with the private sector, researchers and academics from OECD member and non-member countries, and other international organisations.

• Supporting the development of economic intelligence, comparable statistics, and indicators on the global tourism economy, markets, and destinations.
• Promoting an evidence-based and integrated policy approach to support a stronger, more inclusive, and sustainable tourism economy, and engaging with the private sector.
• Enhancing effective horizontal and multi-level governance in tourism, and co-operating with all levels of government.
• Supporting good policy, data and business practices in Member and Partner countries, and promoting a forward-looking vision for tourism

Tourism Committee

Since 1948, the OECD Tourism Committee analyses and monitors policies and structural changes affecting the development of domestic and international tourism.

The Committee provides policy-makers with concrete analysis of key challenges and policy responses that will shape tourism in the years to come. The Committee actively promotes an integrated, whole-of-government approach linking tourism to policies such as economy, investment, transport, trade, inclusive growth, employment, innovation, green growth, local development, SMEs and entrepreneurship. The Committee also supports work on tourism policy performance and evaluation through its tourism policy reviews .

The Committee is expanding its global reach by co-operating closely with Partner countries and by deepening its engagement with the private sector. The aim is to more effectively share knowledge and good practices and contribute to shape global debates on tourism. The Committee has a strategic partnership with the European Commission, and has a long-standing history of co-operation with other organisations such as the World Tourism Organization , the United Nations Environment Programme , the International Labour Office and the Asia-Pacific Economic Cooperation . Examples of projects which have benefited from international co-operation include the Tourism Satellite Account , the travel and visa facilitation agenda, the 10YFP Sustainable Tourism Programme  and the work on supporting quality jobs in tourism.

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Travel, Tourism & Hospitality

Global tourism industry - statistics & facts

What are the leading global tourism destinations, digitalization of the global tourism industry, how important is sustainable tourism, key insights.

Detailed statistics

Total contribution of travel and tourism to GDP worldwide 2019-2034

Number of international tourist arrivals worldwide 1950-2023

Global leisure travel spend 2019-2022

Editor’s Picks Current statistics on this topic

Leading global travel markets by travel and tourism contribution to GDP 2019-2022

Travel and tourism employment worldwide 2019-2034

Further recommended statistics

• Basic Statistic Total contribution of travel and tourism to GDP worldwide 2019-2034
• Basic Statistic Travel and tourism: share of global GDP 2019-2034
• Basic Statistic Leading global travel markets by travel and tourism contribution to GDP 2019-2022
• Basic Statistic Global leisure travel spend 2019-2022
• Premium Statistic Global business travel spending 2001-2024
• Premium Statistic Number of international tourist arrivals worldwide 1950-2023
• Basic Statistic Number of international tourist arrivals worldwide 2005-2023, by region
• Basic Statistic Travel and tourism employment worldwide 2019-2034

Total contribution of travel and tourism to gross domestic product (GDP) worldwide in 2019 and 2023, with a forecast for 2024 and 2034 (in trillion U.S. dollars)

Travel and tourism: share of global GDP 2019-2034

Share of travel and tourism's total contribution to GDP worldwide in 2019 and 2023, with a forecast for 2024 and 2034

Total contribution of travel and tourism to GDP in leading travel markets worldwide in 2019 and 2022 (in billion U.S. dollars)

Leisure tourism spending worldwide from 2019 to 2022 (in billion U.S. dollars)

Global business travel spending 2001-2024

Expenditure of business tourists worldwide from 2001 to 2024 (in billion U.S. dollars)

Number of international tourist arrivals worldwide from 1950 to 2023 (in millions)

Number of international tourist arrivals worldwide 2005-2023, by region

Number of international tourist arrivals worldwide from 2005 to 2023, by region (in millions)

Number of travel and tourism jobs worldwide from 2019 to 2023, with a forecast for 2024 and 2034 (in millions)

• Premium Statistic Global hotel and resort industry market size worldwide 2022-2023
• Premium Statistic Most valuable hotel brands worldwide 2023, by brand value
• Basic Statistic Leading hotel companies worldwide 2023, by number of properties
• Premium Statistic Number of hotels in the construction pipeline worldwide 2024
• Premium Statistic Number of hotel rooms in the construction pipeline worldwide 2024
• Premium Statistic Countries with the most hotel construction projects in the pipeline worldwide 2024

Global hotel and resort industry market size worldwide 2022-2023

Market size of the hotel and resort industry worldwide in 2022 and 2023 (in trillion U.S. dollars)

Most valuable hotel brands worldwide 2023, by brand value

Leading hotel brands based on brand value worldwide in 2023 (in billion U.S. dollars)

Leading hotel companies worldwide 2023, by number of properties

Leading hotel companies worldwide as of June 2023, by number of properties

Number of hotels in the construction pipeline worldwide 2024

Number of hotels in the construction pipeline worldwide as of the first quarter of 2024

Number of hotel rooms in the construction pipeline worldwide 2024

Number of hotel rooms in the construction pipeline worldwide as of the first quarter of 2024

Countries with the most hotel construction projects in the pipeline worldwide 2024

Countries with the highest number of hotel construction projects in the pipeline worldwide as of the first quarter of 2024

• Premium Statistic Airports with the most international air passenger traffic worldwide 2023
• Premium Statistic Market value of selected airlines worldwide 2024
• Premium Statistic Global passenger rail users forecast 2017-2028
• Premium Statistic Daily ridership of bus rapid transit systems worldwide by region 2023
• Premium Statistic Number of users of car rentals worldwide 2020-2029
• Premium Statistic Number of users in selected countries in the Car Rentals market in 2023
• Premium Statistic Carbon footprint of international tourism transport worldwide 2005-2030, by type

Airports with the most international air passenger traffic worldwide 2023

Leading airports for international air passenger traffic in 2023 (in million international passengers)

Market value of selected airlines worldwide 2024

Market value of selected airlines worldwide as of May 2024 (in billion U.S. dollars)

Global passenger rail users forecast 2017-2028

Worldwide number of passenger rail users from 2017 to 2023, with a forecast through 2028 (in billion users)

Daily ridership of bus rapid transit systems worldwide by region 2023

Number of daily passengers using bus rapid transit (BRT) systems as of April 2023, by region

Number of users of car rentals worldwide 2020-2029

Number of users of car rentals worldwide from 2020 to 2029 (in millions)

Number of users in selected countries in the Car Rentals market in 2023

Number of users in selected countries in the Car Rentals market in 2023 (in million)

Carbon footprint of international tourism transport worldwide 2005-2030, by type

Transport-related emissions from international tourist arrivals worldwide in 2005 and 2016, with a forecast for 2030, by mode of transport (in million metric tons of carbon dioxide)

Attractions

• Premium Statistic Most visited museums worldwide 2019-2023
• Basic Statistic Most visited amusement and theme parks worldwide 2023
• Basic Statistic Monuments on the UNESCO world heritage list 2023, by type
• Basic Statistic Selected countries with the most Michelin-starred restaurants worldwide 2024

Most visited museums worldwide 2019-2023

Museums with the highest attendance worldwide from 2019 to 2023 (in millions)

Most visited amusement and theme parks worldwide 2023

Leading amusement and theme parks worldwide 2023, by attendance (in millions)

Monuments on the UNESCO world heritage list 2023, by type

Number of monuments on the UNESCO world heritage list as of September 2023, by type

Selected countries with the most Michelin-starred restaurants worldwide 2024

Number of Michelin-starred restaurants in selected countries and territories worldwide as of August 2024

Online travel market

• Premium Statistic Online travel market size worldwide 2017-2028
• Premium Statistic Estimated desktop vs. mobile revenue of leading OTAs worldwide 2023
• Premium Statistic Number of aggregated downloads of leading online travel agency apps worldwide 2023
• Basic Statistic Market cap of leading online travel companies worldwide 2023
• Premium Statistic Estimated EV/Revenue ratio in the online travel market 2024, by segment
• Premium Statistic Estimated EV/EBITDA ratio in the online travel market 2024, by segment

Online travel market size worldwide 2017-2028

Online travel market size worldwide from 2017 to 2023, with a forecast until 2028 (in billion U.S. dollars)

Estimated desktop vs. mobile revenue of leading OTAs worldwide 2023

Estimated desktop vs. mobile revenue of leading online travel agencies (OTAs) worldwide in 2023 (in billion U.S. dollars)

Number of aggregated downloads of leading online travel agency apps worldwide 2023

Number of aggregated downloads of selected leading online travel agency apps worldwide in 2023 (in millions)

Market cap of leading online travel companies worldwide 2023

Market cap of leading online travel companies worldwide as of September 2023 (in million U.S. dollars)

Estimated EV/Revenue ratio in the online travel market 2024, by segment

Estimated enterprise value to revenue (EV/Revenue) ratio in the online travel market worldwide as of April 2024, by segment

Estimated EV/EBITDA ratio in the online travel market 2024, by segment

Estimated enterprise value to EBITDA (EV/EBITDA) ratio in the online travel market worldwide as of April 2024, by segment

Selected trends

• Premium Statistic Global travelers who believe in the importance of green travel 2023
• Premium Statistic Sustainable initiatives travelers would adopt worldwide 2022, by region
• Premium Statistic Airbnb revenue worldwide 2017-2023
• Premium Statistic Airbnb nights and experiences booked worldwide 2017-2023
• Premium Statistic Technologies global hotels plan to implement in the next three years 2022
• Premium Statistic Hotel technologies global consumers think would improve their future stay 2022

Global travelers who believe in the importance of green travel 2023

Share of travelers that believe sustainable travel is important worldwide in 2023

Sustainable initiatives travelers would adopt worldwide 2022, by region

Main sustainable initiatives travelers are willing to adopt worldwide in 2022, by region

Airbnb revenue worldwide 2017-2023

Revenue of Airbnb worldwide from 2017 to 2023 (in billion U.S. dollars)

Airbnb nights and experiences booked worldwide 2017-2023

Nights and experiences booked with Airbnb from 2017 to 2023 (in millions)

Technologies global hotels plan to implement in the next three years 2022

Technologies hotels are most likely to implement in the next three years worldwide as of 2022

Hotel technologies global consumers think would improve their future stay 2022

Must-have hotel technologies to create a more amazing stay in the future among travelers worldwide as of 2022

• Premium Statistic Travel and tourism revenue worldwide 2020-2029, by segment
• Premium Statistic Distribution of sales channels in the travel and tourism market worldwide 2019-2029
• Premium Statistic Inbound tourism visitor growth worldwide 2020-2025, by region
• Premium Statistic Outbound tourism visitor growth worldwide 2020-2025, by region

Travel and tourism revenue worldwide 2020-2029, by segment

Revenue of the travel and tourism market worldwide from 2020 to 2029, by segment (in billion U.S. dollars)

Distribution of sales channels in the travel and tourism market worldwide 2019-2029

Revenue share of sales channels of the travel and tourism market worldwide from 2019 to 2029

Inbound tourism visitor growth worldwide 2020-2025, by region

Inbound tourism visitor growth worldwide from 2020 to 2022, with a forecast until 2025, by region

Outbound tourism visitor growth worldwide 2020-2025, by region

Outbound tourism visitor growth worldwide from 2020 to 2022, with a forecast until 2025, by region

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Chapter 3. The Economics of Tourism

From the book classic reviews in tourism.

• M. Thea Sinclair , Adam Blake and Guntur Sugiyarto
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Supplementary Materials

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Chapters in this book (16)

• Global City & International State Travel
• Global Travel Service
• Air Passenger Forecasts
• Custom Forecasts
• Cruise Forecasts

Visitor Economy

• Travel Industries
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• Events & Projects
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• Oxford Economics

Understand the full economic value of visitors to your destination, including impacts on jobs, wages, GDP, and taxes.

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Tourism Economics has worked with hundreds of national, state, and city tourism offices to provide a foundational analysis of the importance of the visitor economy.The economic importance of tourism to a destination is commonly under-appreciated and extends well beyond core hospitality and transportation sectors

Tourism Economics offers a solution to destination marketing organizations (DMOs) and to industry associations that marries rigorous methodology and compelling communication to raise the profile of tourism as an economic engine.

Our approach combines visitor survey and industry data to provide maximum credibility and to ensure no component of tourism activity is overlooked.

Tourism Economics' impact models also capture the critical secondary benefits to the tourism supply chain and the economic gains through the local spending of tourism wages.

This provides a comprehensive view of tourism-generated sales, production, employment, wages, and taxes. But the best research is only as good as its communication. Our clients enjoy a presentation style of clear and compelling narrative, charts, tables, and maps. In this way, the message of tourism's importance is clearly conveyed and our clients' objectives are realized.

Our staff has completed nearly one hundred tourism economic impact studies for cities, states, regions, and countries across the world. We have also assessed the impacts of particular sectors such as aviation, film, and cruising.

Our team possesses particular experience developing Tourism Satellite Accounts (TSAs) as ratified by the UN as the global standard for measuring the economic value of tourism. Our staff has implemented Tourism Satellite Account research for over two-dozen clients over the past decade, significantly raising the profile and understanding of tourism's role in the economy.

Example sentences tourism economy

Opposition groups said that any such levy would damage the tourism economy .

It will be quite an engineering feat, even without the efforts to ease the environmental and aesthetic impact on the moors, the lifeblood of the local tourism economy .

For many years, the hunting and fishing have also attracted visitors in the regional tourism economy .

In addition, the surge in national automotive traffic and improvements in roads boosted the local tourism economy .

This shift to conservation helped the region sustain a new tourism economy , as rail connections, and later the automobile, brought dry-fly fishermen to the valley.

Definition of 'tourism' tourism

Definition of 'economy' economy

Cobuild collocations tourism economy.

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Sustainable tourism

Related sdgs, promote sustained, inclusive and sustainable ....

Description

Publications.

Tourism is one of the world's fastest growing industries and an important source of foreign exchange and employment, while being closely linked to the social, economic, and environmental well-being of many countries, especially developing countries. Maritime or ocean-related tourism, as well as coastal tourism, are for example vital sectors of the economy in small island developing States (SIDS) and coastal least developed countries (LDCs) (see also: The Potential of the Blue Economy report as well as the Community of Ocean Action on sustainable blue economy).

The World Tourism Organization defines sustainable tourism as “tourism that takes full account of its current and future economic, social and environmental impacts, addressing the needs of visitors, the industry, the environment and host communities".

Based on General assembly resolution 70/193, 2017 was declared as the  International Year of Sustainable Tourism for Development.

In the 2030 Agenda for Sustainable Development SDG target 8.9, aims to “by 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and products”. The importance of sustainable tourism is also highlighted in SDG target 12.b. which aims to “develop and implement tools to monitor sustainable development impacts for sustainable tourism that creates jobs and promotes local culture and products”.

Tourism is also identified as one of the tools to “by 2030, increase the economic benefits to Small Island developing States and least developed countries” as comprised in SDG target 14.7.

In the Rio+20 outcome document The Future We want, sustainable tourism is defined by paragraph 130 as a significant contributor “to the three dimensions of sustainable development” thanks to its close linkages to other sectors and its ability to create decent jobs and generate trade opportunities. Therefore, Member States recognize “the need to support sustainable tourism activities and relevant capacity-building that promote environmental awareness, conserve and protect the environment, respect wildlife, flora, biodiversity, ecosystems and cultural diversity, and improve the welfare and livelihoods of local communities by supporting their local economies and the human and natural environment as a whole. ” In paragraph 130, Member States also “call for enhanced support for sustainable tourism activities and relevant capacity-building in developing countries in order to contribute to the achievement of sustainable development”.

In paragraph 131, Member States “encourage the promotion of investment in sustainable tourism, including eco-tourism and cultural tourism, which may include creating small- and medium-sized enterprises and facilitating access to finance, including through microcredit initiatives for the poor, indigenous peoples and local communities in areas with high eco-tourism potential”. In this regard, Member States also “underline the importance of establishing, where necessary, appropriate guidelines and regulations in accordance with national priorities and legislation for promoting and supporting sustainable tourism”.

In 2002, the World Summit on Sustainable Development in Johannesburg called for the promotion of sustainable tourism development, including non-consumptive and eco-tourism, in Chapter IV, paragraph 43 of the Johannesburg Plan of Implementation.

At the Johannesburg Summit, the launch of the “Sustainable Tourism – Eliminating Poverty (ST-EP) initiative was announced. The initiative was inaugurated by the World Tourism Organization, in collaboration with UNCTAD, in order to develop sustainable tourism as a force for poverty alleviation.

The UN Commission on Sustainable Development (CSD) last reviewed the issue of sustainable tourism in 2001, when it was acting as the Preparatory Committee for the Johannesburg Summit.

The importance of sustainable tourism was also mentioned in Agenda 21.

For more information and documents on this topic,  please visit this link

UNWTO Annual Report 2015

2015 was a landmark year for the global community. In September, the 70th Session of the United Nations General Assembly adopted the Sustainable Development Goals (SDGs), a universal agenda for planet and people. Among the 17 SDGs and 169 associated targets, tourism is explicitly featured in Goa...

UNWTO Annual Report 2016

In December 2015, the United Nations General Assembly declared 2017 as the International Year of Sustainable Tourism for Development. This is a unique opportunity to devote a year to activities that promote the transformational power of tourism to help us reach a better future. This important cele...

Emerging Issues for Small Island Developing States

The 2012 UNEP Foresight Process on Emerging Global Environmental Issues primarily identified emerging environmental issues and possible solutions on a global scale and perspective. In 2013, UNEP carried out a similar exercise to identify priority emerging environmental issues that are of concern to ...

Transforming our World: The 2030 Agenda for Sustainable Development

This Agenda is a plan of action for people, planet and prosperity. It also seeks to strengthen universal peace in larger freedom, We recognize that eradicating poverty in all its forms and dimensions, including extreme poverty, is the greatest global challenge and an indispensable requirement for su...

Towards Measuring the Economic Value of Wildlife Watching Tourism in Africa

Set against the backdrop of the ongoing poaching crisis driven by a dramatic increase in the illicit trade in wildlife products, this briefing paper intends to support the ongoing efforts of African governments and the broader international community in the fight against poaching. Specifically, this...

Status and Trends of Caribbean Coral Reefs: 1970-2012

Previous Caribbean assessments lumped data together into a single database regardless of geographic location, reef environment, depth, oceanographic conditions, etc. Data from shallow lagoons and back reef environments were combined with data from deep fore-reef environments and atolls. Geographic c...

15 Years of the UNWTO World Tourism Network on Child Protection: A Compilation of Good Practices

Although it is widely recognized that tourism is not the cause of child exploitation, it can aggravate the problem when parts of its infrastructure, such as transport networks and accommodation facilities, are exploited by child abusers for nefarious ends. Additionally, many other factors that contr...

Natural Resources Forum: Special Issue Tourism

The journal considers papers on all topics relevant to sustainable development. In addition, it dedicates series, issues and special sections to specific themes that are relevant to the current discussions of the United Nations Commission on Sustainable Development (CSD)....

Thailand: Supporting Sustainable Development in Thailand: A Geographic Clusters Approach

Market forces and government policies, including the Tenth National Development Plan (2007-2012), are moving Thailand toward a more geographically specialized economy. There is a growing consensus that Thailand’s comparative and competitive advantages lie in amenity services that have high reliance...

Road Map on Building a Green Economy for Sustainable Development in Carriacou and Petite Martinique, Grenada

This publication is the product of an international study led by the Division for Sustainable Development (DSD) of the United Nations Department of Economic and Social Affairs (UNDESA) in cooperation with the Ministry of Carriacou and Petite Martinique Affairs and the Ministry of Environment, Foreig...

Natural Resources Forum, a United Nations Sustainable Development Journal (NRF)

  Natural Resources Forum, a United Nations Sustainable Development Journal, seeks to address gaps in current knowledge and stimulate relevant policy discussions, leading to the implementation of the sustainable development agenda and the achievement of the Sustainable...

UN Ocean Conference 2025

Our Ocean, Our Future, Our Responsibility “The ocean is fundamental to life on our planet and to our future. The ocean is an important source of the planet’s biodiversity and plays a vital role in the climate system and water cycle. The ocean provides a range of ecosystem services, supplies us with

UN Ocean Conference 2022

The UN Ocean Conference 2022, co-hosted by the Governments of Kenya and Portugal, came at a critical time as the world was strengthening its efforts to mobilize, create and drive solutions to realize the 17 Sustainable Development Goals by 2030.

58th Session of the Commission for Social Development – CSocD58

22nd general assembly of the united nations world tourism organization, world tourism day 2017 official celebration.

This year’s World Tourism Day, held on 27 September, will be focused on Sustainable Tourism – a Tool for Development. Celebrated in line with the 2017 International Year of Sustainable Tourism for Development, the Day will be dedicated to exploring the contribution of tourism to the Sustainable Deve

World Tourism Day 2016 Official Celebration

Accessible Tourism for all is about the creation of environments that can cater for the needs of all of us, whether we are traveling or staying at home. May that be due to a disability, even temporary, families with small children, or the ageing population, at some point in our lives, sooner or late

4th Global Summit on City Tourism

The World Tourism Organisation (UNWTO) and the Regional Council for Tourism of Marrakesh with support of the Government of Morroco are organizing the 4th Global Summit on City Tourism in Marrakesh, Morroco (9-10 December 2015). International experts in city tourism, representatives of city DMOs, of

2nd Euro-Asian Mountain Resorts Conference

The World Tourism Organisation (UNWTO) and Ulsan Metropolitan City with support of the Government of the Republic of Korea are organizing the 2nd Euro-Asian Mountain Resorts Conference, in Ulsan, Republic of Korea (14 - 16 October 2015). Under the title “Paving the Way for a Bright Future for Mounta

21st General Assembly of the United Nations World Tourism Organization

Unwto regional conference enhancing brand africa - fostering tourism development.

Tourism is one of the Africa’s most promising sectors in terms of development, and represents a major opportunity to foster inclusive development, increase the region’s participation in the global economy and generate revenues for investment in other activities, including environmental preservation.

• January 2017 International Year of Tourism In the context of the universal 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDGs), the International Year aims to support a change in policies, business practices and consumer behavior towards a more sustainable tourism sector that can contribute to the SDGs.
• January 2015 Targets 8.9, 12 b,14.7 The 2030 Agenda for Sustainable Development commits Member States, through Sustainable Development Goal Target 8.9 to “devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and products”. The importance of sustainable tourism, as a driver for jobs creation and the promotion of local culture and products, is also highlighted in Sustainable Development Goal target 12.b. Tourism is also identified as one of the tools to “increase [by 2030] the economic benefits to Small Island developing States and least developed countries”, through Sustainable Development Goals Target 14.7.
• January 2012 Future We Want (Para 130-131) Sustainable tourism is defined as a significant contributor “to the three dimensions of sustainable development” thanks to its close linkages to other sectors and its ability to create decent jobs and generate trade opportunities. Therefore, Member States recognize “the need to support sustainable tourism activities and relevant capacity-building that promote environmental awareness, conserve and protect the environment, respect wildlife, flora, biodiversity, ecosystems and cultural diversity, and improve the welfare and livelihoods of local communities” as well as to “encourage the promotion of investment in sustainable tourism, including eco-tourism and cultural tourism, which may include creating small and medium sized enterprises and facilitating access to finance, including through microcredit initiatives for the poor, indigenous peoples and local communities in areas with high eco-tourism potential”.
• January 2009 Roadmap for Recovery UNWTO announced in March 2009 the elaboration of a Roadmap for Recovery to be finalized by UNWTO’s General Assembly, based on seven action points. The Roadmap includes a set of 15 recommendations based on three interlocking action areas: resilience, stimulus, green economy aimed at supporting the tourism sector and the global economy.
• January 2008 Global Sustainable Tourism Criteria The Global Sustainable Tourism Criteria represent the minimum requirements any tourism business should observe in order to ensure preservation and respect of the natural and cultural resources and make sure at the same time that tourism potential as tool for poverty alleviation is enforced. The Criteria are 41 and distributed into four different categories: 1) sustainability management, 2) social and economic 3) cultural 4) environmental.
• January 2003 WTO becomes a UN specialized body By Resolution 453 (XV), the Assembly agreed on the transformation of the WTO into a United Nations specialized body. Such transformation was later ratified by the United Nations General Assembly with the adoption of Resolution A/RES/58/232.
• January 2003 1st Int. Conf. on Climate Change and Tourism The conference was organized in order to gather tourism authorities, organizations, businesses and scientists to discuss on the impact that climate change can have on the tourist sector. The event took place from 9 till 11 April 2003 in Djerba, Tunisia.
• January 2002 World Ecotourism Summit Held in May 2002, in Quebec City, Canada, the Summit represented the most important event in the framework of the International Year of Ecosystem. The Summit identified as main themes: ecotourism policy and planning, regulation of ecotourism, product development, marketing and promotion of ecotourism and monitoring costs and benefits of ecotourism.
• January 1985 Tourism Bill of Rights and Tourist Code At the World Tourism Organization Sixth Assembly held in Sofia in 1985, the Tourism Bill of Rights and Tourist Code were adopted, setting out the rights and duties of tourists and host populations and formulating policies and action for implementation by states and the tourist industry.
• January 1982 Acapulco Document Adopted in 1982, the Acapulco Document acknowledges the new dimension and role of tourism as a positive instrument towards the improvement of the quality of life for all peoples, as well as a significant force for peace and international understanding. The Acapulco Document also urges Member States to elaborate their policies, plans and programmes on tourism, in accordance with their national priorities and within the framework of the programme of work of the World Tourism Organization.

UN Tourism | Bringing the world closer

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Glossary of tourism terms

Tourism is a social, cultural and economic phenomenon which entails the movement of people to countries or places outside their usual environment for personal or business/professional purposes. These people are called visitors (which may be either tourists or excursionists; residents or non-residents) and tourism has to do with their activities, some of which involve tourism expenditure.

A B C D E F G H I J K L M N O P Q R S T U V W Y Z

Activity/activities : In tourism statistics, the term activities represent the actions and behaviors of people in preparation for and during a trip in their capacity as consumers ( IRTS 2008, 1.2 ).

Activity (principal): The principal activity of a producer unit is the activity whose value added exceeds that of any other activity carried out within the same unit ( SNA 2008, 5.8 ).

Activity (productive): The (productive) activity carried out by a statistical unit is the type of production in which it engages. It has to be understood as a process, i.e. the combination of actions that result in a certain set of products. The classification of productive activities is determined by their principal output.

Administrative data : Administrative data is the set of units and data derived from an administrative source. This is a data holding information collected and maintained for the purpose of implementing one or more administrative regulations.

Adventure tourism : Adventure tourism is a type of tourism which usually takes place in destinations with specific geographic features and landscape and tends to be associated with a physical activity, cultural exchange, interaction and engagement with nature. This experience may involve some kind of real or perceived risk and may require significant physical and/or mental effort. Adventure tourism generally includes outdoor activities such as mountaineering, trekking, bungee jumping, rock climbing, rafting, canoeing, kayaking, canyoning, mountain biking, bush walking, scuba diving. Likewise, some indoor adventure tourism activities may also be practiced.

Aggregated data : The result of transforming unit level data into quantitative measures for a set of characteristics of a population.

Aggregation : A process that transforms microdata into aggregate-level information by using an aggregation function such as count, sum average, standard deviation, etc.

Analytical unit : Entity created by statisticians, by splitting or combining observation units with the help of estimations and imputations.

Balance of payments : The balance of payments is a statistical statement that summarizes transactions between residents and non-residents during a period. It consists of the goods and services account, the primary income account, the secondary income account, the capital account, and the financial account ( BPM6, 2.12 ).

Bias : An effect which deprives a statistical result of representativeness by systematically distorting it, as distinct from a random error which may distort on any one occasion but balances out on the average.

Business and professional purpose (of a tourism trip): The business and professional purpose of a tourism trip includes the activities of the self-employed and employees, as long as they do not correspond to an implicit or explicit employer-employee relationship with a resident producer in the country or place visited, those of investors, businessmen, etc. ( IRTS 2008, 3.17.2 ).

Business tourism : Business tourism is a type of tourism activity in which visitors travel for a specific professional and/or business purpose to a place outside their workplace and residence with the aim of attending a meeting, an activity or an event. The key components of business tourism are meetings, incentives, conventions and exhibitions. The term "meetings industry" within the context of business tourism recognizes the industrial nature of such activities. Business tourism can be combined with any other tourism type during the same trip.

Business visitor : A business visitor is a visitor whose main purpose for a tourism trip corresponds to the business and professional category of purpose ( IRTS 2008, 3.17.2 ).

Central Product Classification : The Central Product Classification (CPC) constitutes a complete product classification covering goods and services. It is intended to serve as an international standard for assembling and tabulating all kinds of data requiring product detail, including industrial production, national accounts, service industries, domestic and foreign commodity trade, international trade in services, balance of payments, consumption and price statistics. Other basic aims are to provide a framework for international comparison and promote harmonization of various types of statistics dealing with goods and services.

Census : A census is the complete enumeration of a population or groups at a point in time with respect to well defined characteristics: for example, Population, Production, Traffic on particular roads.

Coastal, maritime and inland water tourism : Coastal tourism refers to land-based tourism activities such as swimming, surfing, sunbathing and other coastal leisure, recreation and sports activities which take place on the shore of a sea, lake or river. Proximity to the coast is also a condition for services and facilities that support coastal tourism. Maritime tourism refers to sea-based activities such as cruising, yachting, boating and nautical sports and includes their respective land-based services and infrastructure. Inland water tourism refers to tourism activities such as cruising, yachting, boating and nautical sports which take place in aquatic- influenced environments located within land boundaries and include lakes, rivers, ponds, streams, groundwater, springs, cave waters and others traditionally grouped as inland wetlands.

Coherence : Adequacy of statistics to be combined in different ways and for various uses.

Competitiveness of a tourism destination : The competitiveness of a tourism destination is the ability of the destination to use its natural, cultural, human, man-made and capital resources efficiently to develop and deliver quality, innovative, ethical and attractive tourism products and services in order to achieve a sustainable growth within its overall vision and strategic goals, increase the added value of the tourism sector, improve and diversify its market components and optimize its attractiveness and benefits both for visitors and the local community in a sustainable perspective.

Consistency : Logical and numerical coherence.

Country of reference : The country of reference refers to the country for which the measurement is done. ( IRTS 2008, 2.15 ).

Country of residence : The country of residence of a household is determined according to the centre of predominant economic interest of its members. If a person resides (or intends to reside) for more than one year in a given country and has there his/her centre of economic interest (for example, where the predominant amount of time is spent), he/she is considered as a resident of this country.

Country-specific tourism characteristic products and activities : To be determined by each country by applying the criteria of IRTS 2008, 5.10 in their own context; for these products, the activities producing them will be considered as tourism characteristic, and the industries in which the principal activity is tourism-characteristic will be called tourism industries ( IRTS 2008, 5.16 ).

Cultural tourism : Cultural tourism is a type of tourism activity in which the visitor's essential motivation is to learn, discover, experience and consume the tangible and intangible cultural attractions/products in a tourism destination. These attractions/products relate to a set of distinctive material, intellectual, spiritual and emotional features of a society that encompasses arts and architecture, historical and cultural heritage, culinary heritage, literature, music, creative industries and the living cultures with their lifestyles, value systems, beliefs and traditions.

Data checking : Activity whereby the correctness conditions of the data are verified. It also includes the specification of the type of error or of the condition not met, and the qualification of the data and their division into "error-free data" and "erroneous data".

Data collection : Systematic process of gathering data for official statistics.

Data compilation : Operations performed on data to derive new information according to a given set of rules.

Data confrontation : The process of comparing data that has generally been derived from different surveys or other sources, especially those of different frequencies, in order to assess and possibly improve their coherency, and identify the reasons for any differences.

Data processing : Data processing is the operation performed on data by the organization, institute, agency, etc., responsible for undertaking the collection, tabulation, manipulation and preparation of data and metadata output.

Data reconciliation : The process of adjusting data derived from two different sources to remove, or at least reduce, the impact of differences identified.

Destination (main destination of a trip): The main destination of a tourism trip is defined as the place visited that is central to the decision to take the trip. See also purpose of a tourism trip ( IRTS 2008, 2.31 ).

Destination management / marketing organization (DMO) : A destination management/marketing organization (DMO) is the leading organizational entity which may encompass the various authorities, stakeholders and professionals and facilitates tourism sector partnerships towards a collective destination vision. The governance structures of DMOs vary from a single public authority to a public/ private partnership model with the key role of initiating, coordinating and managing certain activities such as implementation of tourism policies, strategic planning, product development, promotion and marketing and convention bureau activities. The functions of the DMOs may vary from national to regional and local levels depending on the current and potential needs as well as on the decentralization level of public administration. Not every tourism destination has a DMO.

Documentation: Processes and procedures for imputation,  weighting,  confidentiality  and suppression rules, outlier treatment and data capture should be fully documented by the  survey provider.  Such documentation should be made available to at least  the body financing the survey.

Domestic tourism : Domestic tourism comprises the activities of a resident visitor within the country of reference, either as part of a domestic tourism trip or part of an outbound tourism trip ( IRTS 2008, 2.39 ).

Domestic tourism consumption : Domestic tourism consumption is the tourism consumption of a resident visitor within the economy of reference ( TSA:RMF 2008, figure 2.1 ).

Domestic tourism expenditure : Domestic tourism expenditure is the tourism expenditure of a resident visitor within the economy of reference, (IRTS 2008, 4.15(a)).

Domestic tourism trip : A domestic tourism trip is one with a main destination within the country of residence of the visitor (IRTS 2008, 2.32).

Domestic visitor : As a visitor travels within his/her country of residence, he/she is a domestic visitor and his/her activities are part of domestic tourism.

Durable consumer goods : Durable consumer goods are goods that may be used repeatedly or continuously over a period of a year or more, assuming a normal or average rate of physical usage. When acquired by producers, these are considered to be capital goods used for production processes, as is the case of vehicles, computers, etc. When acquired by households, they are considered to be consumer durable goods ( TSA:RMF 2008, 2.39 ). This definition is identical to the definition of SNA 2008, 9.42 : A consumer durable is a goodthat may be used for purposes of consumption repeatedly or continuously over a period of a year or more.

Dwellings : Each household has a principal dwelling (sometimes also designated as main or primary home), usually defined with reference to time spent there, whose location defines the country of residence and place of usual residence of this household and of all its members. All other dwellings (owned or leased by the household) are considered secondary dwellings ( IRTS 2008, 2.26 ).

Ecotourism : Ecotourism is a type of nature-based tourism activity in which the visitor's essential motivation is to observe, learn, discover, experience and appreciate biological and cultural diversity with a responsible attitude to protect the integrity of the ecosystem and enhance the well-being of the local community. Ecotourism increases awareness towards the conservation of biodiversity, natural environment and cultural assets both among locals and the visitors and requires special management processes to minimize the negative impact on the ecosystem.

Economic analysis : Tourism generates directly and indirectly an increase in economic activity in the places visited (and beyond), mainly due to demand for goods and services thatneed to be produced and provided. In the economic analysis of tourism, one may distinguish between tourism's 'economic contribution' which refers to the direct effect of tourism and is measurable by means of the TSA, and tourism's 'economic impact' which is a much broader concept encapsulating the direct, indirect and induced effects of tourism and which must be estimated by applying models. Economic impact studies aim to quantify economic benefits, that is, the net increase in the wealth of residents resulting from tourism, measured in monetary terms, over and above the levels that would prevail in its absence.

Economic territory : The term "economic territory" is a geographical reference and points to the country for which the measurement is done (country of reference) ( IRTS 2008, 2.15 ).

Economically active population : The economically active population or labour force comprises all persons of either sex who furnish the supply of labour for the production of goods and services as defined by the system of national accounts during a specified time-reference period (ILO, Thirteenth ICLS, 6.18).

Economy (of reference): "Economy" (or "economy of reference") is an economic reference defined in the same way as in the balance of payments and in the system of national accounts: it refers to the economic agents that are resident in the country of reference ( IRTS 2008, 2.15 ).

Education tourism : Education tourism covers those types of tourism which have as a primary motivation the tourist's engagement and experience in learning, self-improvement, intellectual growth and skills development. Education Tourism represents a broad range of products and services related to academic studies, skill enhancement holidays, school trips, sports training, career development courses and language courses, among others.

Employees : Employees are all those workers who hold the type of job defined as "paid employment" (ILO, Fifteenth ICLS, pp. 20-22).

Employer-employee relationship : An employer-employee relationship exists when there is an agreement, which may be formal or informal, between an entity and an individual, normally entered into voluntarily by both parties, whereby the individual works for the entity in return for remuneration in cash or in kind ( BPM6, 11.11 ).

Employers : Employers are those workers who, working on their own account with one or more partners, hold the type of job defined as a "self-employment job" and, in this capacity, on a continuous basis (including the reference period) have engaged one or more persons to work for them in their business as "employee(s)" (ILO, Fifteenth ICLS, pp. 20-22).

Employment : Persons in employment are all persons above a specified age who, during a specified brief period, either one week or one day, were in paid employment or self-employment (OECD GST, p. 170).

Employment in tourism industries : Employment in tourism industries may be measured as a count of the persons employed in tourism industries in any of their jobs, as a count of the persons employed in tourism industries in their main job, or as a count of the jobs in tourism industries ( IRTS 2008, 7.9 ).

Enterprise : An enterprise is an institutional unit engaged in production of goods and/or services. It may be a corporation, a non-profit institution, or an unincorporated enterprise. Corporate enterprises and non-profit institutions are complete institutional units. An unincorporated enterprise, however, refers to an institutional unit —a household or government unit —only in its capacity as a producer of goods and services (OECD BD4, p. 232)

Establishment : An establishment is an enterprise, or part of an enterprise, that is situated in a single location and in which only a single productive activity is carried out or in which the principal productive activity accounts for most of the value added ( SNA 2008, 5.14 ).

Estimation : Estimation is concerned with inference about the numerical value of unknown population values from incomplete data such as a sample. If a single figure is calculated for each unknown parameter the process is called "point estimation". If an interval is calculated within which the parameter is likely, in some sense, to lie, the process is called "interval estimation".

Exports of goods and services : Exports of goods and services consist of sales, barter, or gifts or grants, of goods and services from residents to non-residents (OECD GST, p. 194)

Frame : A list, map or other specification of the units which define a population to be completely enumerated or sampled.

Forms of tourism : There are three basic forms of tourism: domestic tourism, inbound tourism, and outbound tourism. These can be combined in various ways to derive the following additional forms of tourism: internal tourism, national tourism and international tourism.

Gastronomy tourism :  Gastronomy tourism is a type of tourism activity which is characterized by the visitor's experience linked with food and related products and activities while travelling. Along with authentic, traditional, and/or innovative culinary experiences, Gastronomy Tourism may also involve other related activities such as visiting the local producers, participating in food festivals and attending cooking classes. Eno-tourism (wine tourism), as a sub-type of gastronomy tourism, refers to tourism whose purpose is visiting vineyards, wineries, tasting, consuming and/or purchasing wine, often at or near the source.

Goods : Goods are physical, produced objects for which a demand exists, over which ownership rights can be established and whose ownership can be transferred from one institutional unit to another by engaging in transactions on markets ( SNA 2008, p. 623 ).

Gross fixed capital formation : Gross fixed capital formation is defined as the value of institutional units' acquisitions less disposals of fixed assets. Fixed assets are produced assets (such as machinery, equipment, buildings or other structures) that are used repeatedly or continuously in production over several accounting periods (more than one year) ( SNA 2008, 1.52 ).

Gross margin : The gross margin of a provider of reservation services is the difference between the value at which the intermediated service is sold and the value accrued to the provider of reservation services for this intermediated service.

Gross value added : Gross value added is the value of output less the value of intermediate consumption ( TSA:RMF 2008, 3.32 ).

Gross value added of tourism industries : Gross value added of tourism industries (GVATI) is the total gross value added of all establishments belonging to tourism industries, regardless of whether all their output is provided to visitors and the degree of specialization of their production process ( TSA:RMF 2008, 4.86 ).

Grossing up : Activity aimed at transforming, based on statistical methodology, micro-data from samples into aggregate-level information representative of the target population.

Health tourism : Health tourism covers those types of tourism which have as a primary motivation, the contribution to physical, mental and/or spiritual health through medical and wellness-based activities which increase the capacity of individuals to satisfy their own needs and function better as individuals in their environment and society. Health tourism is the umbrella term for the subtypes wellness tourism and medical tourism.

Imputation : Procedure for entering a value for a specific data item where the response is missing or unusable.

Inbound tourism : Inbound tourism comprises the activities of a non-resident visitor within the country of reference on an inbound tourism trip ( IRTS 2008, 2.39 ).

Inbound tourism consumption : Inbound tourism consumption is the tourism consumption of a non-resident visitor within the economy of reference ( TSA:RMF 2008, figure 2.1 ).

Inbound tourism expenditure : Inbound tourism expenditure is the tourism expenditure of a non-resident visitor within the economy of reference ( IRTS 2008, 4.15(b) ).

Innovation in tourism : Innovation in tourism is the introduction of a new or improved component which intends to bring tangible and intangible benefits to tourism stakeholders and the local community, improve the value of the tourism experience and the core competencies of the tourism sector and hence enhance tourism competitiveness and /or sustainability. Innovation in tourism may cover potential areas, such as tourism destinations, tourism products, technology, processes, organizations and business models, skills, architecture, services, tools and/or practices for management, marketing, communication, operation, quality assurance and pricing.

Institutional sector : An aggregation of institutional units on the basis of the type of producer and depending on their principal activity and function, which are considered to be indicative of their economic behaviour.

Institutional unit : The elementary economic decision-making centre characterised by uniformity of behaviour and decision-making autonomy in the exercise of its principal function.

Intermediate consumption : Intermediate consumption consists of the value of the goods and services consumed as inputs by a process of production, excluding fixed assets whose consumption is recorded as consumption of fixed capital ( SNA 2008, 6.213 ).

Internal tourism : Internal tourism comprises domestic tourism and inbound tourism, that is to say, the activities of resident and non-resident visitors within the country of reference as part of domestic or international tourism trips ( IRTS 2008, 2.40(a) ).

Internal tourism consumption : Internal tourism consumption is the tourism consumption of both resident and non-resident visitors within the economy of reference. It is the sum of domestic tourism consumption and inbound tourism consumption ( TSA:RMF 2008, figure 2.1 ).

Internal tourism expenditure : Internal tourism expenditure comprises all tourism expenditure of visitors, both resident and non-resident, within the economy of reference. It is the sum of domestic tourism expenditure and inbound tourism expenditure. It includes acquisition of goods and services imported into the country of reference and sold to visitors. This indicator provides the most comprehensive measurement of tourism expenditure in the economy of reference ( IRTS 2008, 4.20(a) ).

International Standard Industrial Classification of All Economic Activities : The International Standard Industrial Classification of All Economic Activities (ISIC) consists of a coherent and consistent classification structure of economic activities based on a set of internationally agreed concepts, definitions, principles and classification rules. It provides a comprehensive framework within which economic data can be collected and reported in a format that is designed for purposes of economic analysis, decision-taking and policymaking. The classification structure represents a standard format to organize detailed information about the state of an economy according to economic principles and perceptions (ISIC, Rev.4, 1).

International tourism : International tourism comprises inbound tourism and outbound tourism, that is to say, the activities of resident visitors outside the country of reference, either as part of domestic or outbound tourism trips and the activities of non-resident visitors within the country of reference on inbound tourism trips ( IRTS 2008, 2.40(c) ).

International visitor : An international traveller qualifies as an international visitor with respect to the country of reference if: (a) he/she is on a tourism trip and (b) he/she is a non-resident travelling in the country of reference or a resident travelling outside of it ( IRTS 2008, 2.42 ).

Job : The agreement between an employee and the employer defines a job and each self-employed person has a job ( SNA 2008, 19.30 ).

Measurement error : Error in reading, calculating or recording numerical value.

Medical tourism : Medical tourism is a type of tourism activity which involves the use of evidence-based medical healing resources and services (both invasive and non-invasive). This may include diagnosis, treatment, cure, prevention and rehabilitation.

Meetings industry : To highlight purposes relevant to the meetings industry, if a trip's main purpose is business/professional, it can be further subdivided into "attending meetings, conferences or congresses, trade fairs and exhibitions" and "other business and professional purposes". The term meetings industry is preferred by the International Congress and Convention Association (ICCA), Meeting Professionals International (MPI) and Reed Travel over the acronym MICE (Meetings, Incentives, Conferences and Exhibitions) which does not recognize the industrial nature of such activities.

Metadata : Data that defines and describes other data and processes.

MICE : See meetings industry.

Microdata : Non-aggregated observations, or measurements of characteristics of individual units.

Mirror statistics : Mirror statistics are used to conduct bilateral comparisons of two basic measures of a trade flow and are a traditional tool for detecting the causes of asymmetries in statistics (OECD GST, p. 335).

Mountain tourism : Mountain tourism is a type of tourism activity which takes place in a defined and limited geographical space such as hills or mountains with distinctive characteristics and attributes that are inherent to a specific landscape, topography, climate, biodiversity (flora and fauna) and local community. It encompasses a broad range of outdoor leisure and sports activities.

National tourism : National tourism comprises domestic tourism and outbound tourism, that is to say, the activities of resident visitors within and outside the country of reference, either as part of domestic or outbound tourism trips ( IRTS 2008, 2.40(b) ).

National tourism consumption : National tourism consumption is the tourism consumption of resident visitors, within and outside the economy of reference. It is the sum of domestic tourism consumption and outbound tourism consumption ( TSA:RMF 2008, figure 2.1 ).

National tourism expenditure : National tourism expenditure comprises all tourism expenditure of resident visitors within and outside the economy of reference. It is the sum of domestic tourism expenditure and outbound tourism expenditure ( IRTS 2008, 4.20(b) ).

Nationality : The concept of "country of residence" of a traveller is different from that of his/her nationality or citizenship ( IRTS 2008, 2.19 ).

Non-monetary indicators : Data measured in physical or other non-monetary units should not be considered a secondary part of a satellite account. They are essential components, both for the information they provide directly and in order to analyse the monetary data adequately ( SNA 2008, 29.84 ).

Observation unit : entity on which information is received and statistics are compiled.

Outbound tourism : Outbound tourism comprises the activities of a resident visitor outside the country of reference, either as part of an outbound tourism trip or as part of a domestic tourism trip ( IRTS 2008, 2.39(c) ).

Outbound tourism consumption : Outbound tourism consumption is the tourism consumption of a resident visitor outside the economy of reference ( TSA:RMF 2008, figure 2.1 ).

Outbound tourism expenditure : Outbound tourism expenditure is the tourism expenditure of a resident visitor outside the economy of reference ( IRTS 2008, 4.15(c) ).

Output : Output is defined as the goods and services produced by an establishment, a) excluding the value of any goods and services used in an activity for which the establishment does not assume the risk of using the products in production, and b) excluding the value of goods and services consumed by the same establishment except for goods and services used for capital formation (fixed capital or changes in inventories) or own final consumption ( SNA 2008, 6.89 ).

Output (main): The main output of a (productive) activity should be determined by reference to the value added of the goods sold or services rendered (ISIC rev.4, 114).

Pilot survey : The aim of a pilot survey is to test the questionnaire (pertinence of the questions, understanding of questions by those being interviewed, duration of the interview) and to check various potential sources for sampling and non-sampling errors: for instance, the place in which the surveys are carried out and the method used, the identification of any omitted answers and the reason for the omission, problems of communicating in various languages, translation, the mechanics of data collection, the organization of field work, etc.

Place of usual residence : The place of usual residence is the geographical place where the enumerated person usually resides, and is defined by the location of his/her principal dwelling (Principles and recommendations for population and housing censuses of the United Nations, 2.20 to 2.24).

Probability sample : A sample selected by a method based on the theory of probability (random process), that is, by a method involving knowledge of the likelihood of any unit being selected.

Production account : The production account records the activity of producing goods and services as defined within the SNA. Its balancing item, gross value added, is defined as the value of output less the value of intermediate consumption and is a measure of the contribution to GDP made by an individual producer, industry or sector. Gross value added is the source from which the primary incomes of the SNA are generated and is therefore carried forward into the primary distribution of income account. Value added and GDP may also be measured net by deducting consumption of fixed capital, a figure representing the decline in value during the period of the fixed capital used in a production process ( SNA 2008, 1.17 ).

Production : Economic production may be defined as an activity carried out under the control and responsibility of an institutional unit that uses inputs of labour, capital, and goods and services to produce outputs of goods or services ( SNA 2008, 6.24. ).

Purpose of a tourism trip (main): The main purpose of a tourism trip is defined as the purpose in the absence of which the trip would not have taken place ( IRTS 2008, 3.10. ). Classification of tourism trips according to the main purpose refers to nine categories: this typology allows the identification of different subsets of visitors (business visitors, transit visitors, etc.) See also destination of a tourism trip ( IRTS 2008, 3.14 ).

Quality of a tourism destination : Quality of a tourism destination is the result of a process which implies the satisfaction of all tourism product and service needs, requirements and expectations of the consumer at an acceptable price, in conformity with mutually accepted contractual conditions and the implicit underlying factors such as safety and security, hygiene, accessibility, communication, infrastructure and public amenities and services. It also involves aspects of ethics, transparency and respect towards the human, natural and cultural environment. Quality, as one of the key drivers of tourism competitiveness, is also a professional tool for organizational, operational and perception purposes for tourism suppliers.

Questionnaire and Questionnaire design : Questionnaire is a group or sequence of questions designed to elicit information on a subject, or sequence of subjects, from a reporting unit or from another producer of official statistics. Questionnaire design is the design (text, order, and conditions for skipping) of the questions used to obtain the data needed for the survey.

Reference period : The period of time or point in time to which the measured observation is intended to refer.

Relevance : The degree to which statistics meet current and potential users' needs.

Reliability : Closeness of the initial estimated value to the subsequent estimated value.

Reporting unit : Unit that supplies the data for a given survey instance, like a questionnaire or interview. Reporting units may, or may not, be the same as the observation unit.

Residents/non-residents : The residents of a country are individuals whose centre of predominant economic interest is located in its economic territory. For a country, the non-residents are individuals whose centre of predominant economic interest is located outside its economic territory.

Response and non-response : Response and non-response to various elements of a survey entail potential errors.

Response error : Response errors may be defined as those arising from the interviewing process. Such errors may be due to a number of circumstances, such as inadequate concepts or questions; inadequate training; interviewer failures; respondent failures.

Rural tourism : Rural tourism is a type of tourism activity in which the visitor's experience is related to a wide range of products generally linked to nature-based activities, agriculture, rural lifestyle / culture, angling and sightseeing. Rural tourism activities take place in non-urban (rural) areas with the following characteristics:

• Low population density;
• Landscape and land-use dominated by agriculture and forestry; and
• Traditional social structure and lifestyle

Same-day visitor (or excursionist): A visitor (domestic, inbound or outbound) is classified as a tourist (or overnight visitor), if his/her trip includes an overnight stay, or as a same-day visitor (or excursionist) otherwise ( IRTS 2008, 2.13 ).

Sample : A subset of a frame where elements are selected based on a process with a known probability of selection.

Sample survey : A survey which is carried out using a sampling method.

Sampling error : That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.

Satellite accounts : There are two types of satellite accounts, serving two different functions. The first type, sometimes called an internal satellite, takes the full set of accounting rules and conventions of the SNA but focuses on a particular aspect of interest by moving away from the standard classifications and hierarchies. Examples are tourism, coffee production and environmental protection expenditure. The second type, called an external satellite, may add non-economic data or vary some of the accounting conventions or both. It is a particularly suitable way to explore new areas in a research context. An example may be the role of volunteer labour in the economy ( SNA 2008, 29.85 ).

SDMX, Statistical Data and Metadata Exchange : Set of technical standards and content-oriented guidelines, together with an IT architecture and tools, to be used for the efficient exchange and sharing of statistical data and metadata (SDMX).

Seasonal adjustment : Seasonal adjustment is a statistical technique to remove the effects of seasonal calendar influences on a series. Seasonal effects usually reflect the influence of the seasons themselves, either directly or through production series related to them, or social conventions. Other types of calendar variation occur as a result of influences such as number of days in the calendar period, the accounting or recording practices adopted or the incidence of moving holidays.

Self-employment job : Self-employment jobs are those jobs where remuneration is directly dependent upon the profits (or the potential of profits) derived from the goods or services produced.

Self-employed with paid employees : Self-employed with paid employees are classified as employers.

Self-employed without employees : Self-employed without employees are classified as own-account workers.

Services : Services are the result of a production activity that changes the conditions of the consuming units, or facilitates the exchange of products or financial assets. They cannot be traded separately from their production. By the time their production is completed, they must have been provided to the consumers ( SNA 2008, 6.17 ).

Social transfers in kind : A special case of transfers in kind is that of social transfers in kind. These consist of goods and services provided by general government and non-profit institutions serving households (NPISHs) that are delivered to individual households. Health and education services are the prime examples. Rather than provide a specified amount of money to be used to purchase medical and educational services, the services are often provided in kind to make sure that the need for the services is met. (Sometimes the recipient purchases the service and is reimbursed by the insurance or assistance scheme. Such a transaction is still treated as being in kind because the recipient is merely acting as the agent of the insurance scheme) (SNA 2008, 3.83).

Sports tourism : Sports tourism is a type of tourism activity which refers to the travel experience of the tourist who either observes as a spectator or actively participates in a sporting event generally involving commercial and non-commercial activities of a competitive nature.

Standard classification : Classifications that follow prescribed rules and are generally recommended and accepted.

Statistical error : The unknown difference between the retained value and the true value.

Statistical indicator : A data element that represents statistical data for a specified time, place, and other characteristics, and is corrected for at least one dimension (usually size) to allow for meaningful comparisons.

Statistical metadata : Data about statistical data.

Statistical unit : Entity about which information is sought and about which statistics are compiled. Statistical units may be identifiable legal or physical entities or statistical constructs.

Survey : An investigation about the characteristics of a given population by means of collecting data from a sample of that population and estimating their characteristics through the systematic use of statistical methodology.

System of National Accounts : The System of National Accounts (SNA) is the internationally agreed standard set of recommendations on how to compile measures of economic activity in accordance with strict accounting conventions based on economic principles. The recommendations are expressed in terms of a set of concepts, definitions, classifications and accounting rules that comprise the internationally agreed standard for measuring indicators of economic performance. The accounting framework of the SNA allows economic data to be compiled and presented in a format that is designed for purposes of economic analysis, decision-taking and policymaking ( SNA 2008, 1.1 ).

Total tourism internal demand : Total tourism internal demand, is the sum of internal tourism consumption, tourism gross fixed capital formation and tourism collective consumption ( TSA:RMF 2008, 4.114 ). It does not include outbound tourism consumption.

Tourism : Tourism refers to the activity of visitors ( IRTS 2008, 2.9 ).

Tourism characteristic activities : Tourism characteristic activities are the activities that typically produce tourism characteristic products. As the industrial origin of a product (the ISIC industry that produces it) is not a criterion for the aggregation of products within a similar CPC category, there is no strict one-to-one relationship between products and the industries producing them as their principal outputs ( IRTS 2008, 5.11 ).

Tourism characteristic products : Tourism characteristic products are those that satisfy one or both of the following criteria: a) Tourism expenditure on the product should represent a significant share total tourism expenditure (share-of-expenditure/demand condition); b) Tourism expenditure on the product should represent a significant share of the supply of the product in the economy (share-of-supply condition). This criterion implies that the supply of a tourism characteristic product would cease to exist in meaningful quantity in the absence of visitors ( IRTS 2008, 5.10 ).

Tourism connected products : Their significance within tourism analysis for the economy of reference is recognized although their link to tourism is very limited worldwide. Consequently, lists of such products will be country-specific ( IRTS 2008, 5.12 ).

Tourism consumption : Tourism consumption has the same formal definition as tourism expenditure. Nevertheless, the concept of tourism consumption used in the Tourism Satellite Account goes beyond that of tourism expenditure. Besides the amount paid for the acquisition of consumption goods and services, as well as valuables for own use or to give away, for and during tourism trips, which corresponds to monetary transactions (the focus of tourism expenditure), it also includes services associated with vacation accommodation on own account, tourism social transfers in kind and other imputed consumption. These transactions need to be estimated using sources different from information collected directly from the visitors, such as reports on home exchanges, estimations of rents associated with vacation homes, calculations of financial intermediation services indirectly measured (FISIM), etc. ( TSA:RMF 2008, 2.25 ).

Tourism destination : A tourism destination is a physical space with or without administrative and/or analytical boundaries in which a visitor can spend an overnight. It is the cluster (co-location) of products and services, and of activities and experiences along the tourism value chain and a basic unit of analysis of tourism. A destination incorporates various stakeholders and can network to form larger destinations. It is also intangible with its image and identity which may influence its market competitiveness.

Tourism direct gross domestic product : Tourism direct gross domestic product (TDGDP) is the sum of the part of gross value added (at basic prices) generated by all industries in response to internal tourism consumption plus the amount of net taxes on products and imports included within the value of this expenditure at purchasers' prices ( TSA:RMF 2008, 4.96 ).

Tourism direct gross value added : Tourism direct gross value added (TDGVA) is the part of gross value added generated by tourism industries and other industries of the economy that directly serve visitors in response to internal tourism consumption ( TSA:RMF 2008, 4.88 ).

Tourism expenditure : Tourism expenditure refers to the amount paid for the acquisition of consumption goods and services, as well as valuables, for own use or to give away, for and during tourism trips. It includes expenditures by visitors themselves, as well as expenses that are paid for or reimbursed by others ( IRTS 2008, 4.2 ).

Tourism industries : The tourism industries comprise all establishments for which the principal activity is a tourism characteristic activity. Tourism industries (also referred to as tourism activities) are the activities that typically producetourism characteristic products. The term tourism industries is equivalent to tourism characteristic activities and the two terms are sometimes used synonymously in the IRTS 2008, 5.10, 5.11 and figure 5.1 .

Tourism product : A tourism product is a combination of tangible and intangible elements, such as natural, cultural and man-made resources, attractions, facilities, services and activities around a specific center of interest which represents the core of the destination marketing mix and creates an overall visitor experience including emotional aspects for the potential customers. A tourism product is priced and sold through distribution channels and it has a life-cycle.

Tourism ratio : For each variable of supply in the Tourism Satellite Account, the tourism ratiois the ratio between the total value of tourism share and total value of the corresponding variable in the Tourism Satellite Account expressed in percentage form ( TSA:RMF 2008, 4.56 ). (See also Tourism share).

Tourism Satellite Account : The Tourism Satellite Account is the second international standard on tourism statistics (Tourism Satellite Account: Recommended Methodological Framework 2008 –TSA:RMF 2008) that has been developed in order to present economic data relative to tourism within a framework of internal and external consistency with the rest of the statistical system through its link to the System of National Accounts. It is the basic reconciliation framework of tourism statistics. As a statistical tool for the economic accounting of tourism, the TSA can be seen as a set of 10 summary tables, each with their underlying data and representing a different aspect of the economic data relative to tourism: inbound, domestic tourism and outbound tourism expenditure, internal tourism expenditure, production accounts of tourism industries, the Gross Value Added (GVA) and Gross Domestic Product (GDP) attributable to tourism demand, employment, investment, government consumption, and non-monetary indicators.

Tourism Satellite Account aggregates : The compilation of the following aggregates, which represent a set of relevant indicators of the size of tourism in an economy is recommended ( TSA:RMF 2008, 4.81 ):

• Internal tourism expenditure;
• Internal tourism consumption;
• Gross value added of tourism industries (GVATI);
• Tourism direct gross value added (TDGVA);
• Tourism direct gross domestic product (TDGDP).

Tourism sector : The tourism sector, as contemplated in the TSA, is the cluster of production units in different industries that provide consumption goods and services demanded by visitors. Such industries are called tourism industries because visitor acquisition represents such a significant share of their supply that, in the absence of visitors, their production of these would cease to exist in meaningful quantity.

Tourism share : Tourism share is the share of the corresponding fraction of internal tourism consumption in each component of supply ( TSA:RMF 2008, 4.51 ). For each industry, the tourism share of output (in value), is the sum of the tourism share corresponding to each product component of its output ( TSA:RMF 2008, 4.55 ). (See also Tourism ratio ).

Tourism single-purpose consumer durable goods : Tourism single-purpose consumer durables is a specific category of consumer durable goods that include durable goods that are used exclusively, or almost exclusively, by individuals while on tourism trips ( TSA:RMF 2008 , 2.41 and Annex 5 ).

Tourism trip : Trips taken by visitors are tourism trips ( IRTS 2008, 2.29 ).

Tourist (or overnight visitor): A visitor (domestic, inbound or outbound) is classified as a tourist (or overnight visitor), if his/her trip includes an overnight stay, or as a same-day visitor (or excursionist) otherwise ( IRTS 2008, 2.13 ).

Tourism value chain : The tourism value chain is the sequence of primary and support activities which are strategically fundamental for the performance of the tourism sector. Linked processes such as policy making and integrated planning, product development and packaging, promotion and marketing, distribution and sales and destination operations and services are the key primary activities of the tourism value chain. Support activities involve transport and infrastructure, human resource development, technology and systems development and other complementary goods and services which may not be related to core tourism businesses but have a high impact on the value of tourism.

Travel / traveller : Travel refers to the activity of travellers. A traveller is someone who moves between different geographic locations, for any purpose and any duration ( IRTS 2008, 2.4 ). The visitor is a particular type of traveller and consequently tourism is a subset of travel.

Travel group : A travel group is made up of individuals or travel parties travelling together: examples are people travelling on the same package tour or youngsters attending a summer camp ( IRTS 2008, 3.5 ).

Travel item (in balance of payments): Travel is an item of the goods and services account of the balance of payments: travel credits cover goods and services for own use or to give away acquired from an economy by non-residents during visits to that economy. Travel debits cover goods and services for own use or to give away acquired from other economies by residents during visits to other economies ( BPM6, 10.86 ).

Travel party : A travel party is defined as visitors travelling together on a trip and whose expenditures are pooled ( IRTS 2008, 3.2 ).

Trip : A trip refers to the travel by a person from the time of departure from his/her usual residence until he/she returns: it thus refers to a round trip. Trips taken by visitors are tourism trips.

Urban/city tourism : Urban/city tourism is a type of tourism activity which takes place in an urban space with its inherent attributes characterized by non-agricultural based economy such as administration, manufacturing, trade and services and by being nodal points of transport. Urban/city destinations offer a broad and heterogeneous range of cultural, architectural, technological, social and natural experiences and products for leisure and business.

Usual environment: The usual environment of an individual, a key concept in tourism, is defined as the geographical area (though not necessarily a contiguous one) within which an individual conducts his/her regular life routines ( IRTS 2008, 2.21 ).

Usual residence : The place of usual residence is the geographical place where the enumerated person usually resides (Principles and recommendations for population and housing censuses of the United Nations, 2.16 to 2.18).

Vacation home : A vacation home (sometimes also designated as a holiday home) is a secondary dwelling that is visited by the members of the household mostly for purposes of recreation, vacation or any other form of leisure ( IRTS 2008, 2.27 ).

Valuables : Valuables are produced goods of considerable value that are not used primarily for purposes of production or consumption but are held as stores of value over time ( SNA 2008, 10.13 ).

Visit : A trip is made up of visits to different places.The term "tourism visit" refers to a stay in a place visited during a tourism trip ( IRTS 2008, 2.7 and 2.33 ).

Visitor : A visitor is a traveller taking a trip to a main destination outside his/her usual environment, for less than a year, for any main purpose (business, leisure or other personal purpose) other than to be employed by a resident entity in the country or place visited ( IRTS 2008, 2.9 ). A visitor (domestic, inbound or outbound) is classified as a tourist (or overnight visitor), if his/her trip includes an overnight stay, or as a same-day visitor (or excursionist) otherwise ( IRTS 2008, 2.13 ).

Wellness tourism : Wellness tourism is a type of tourism activity which aims to improve and balance all of the main domains of human life including physical, mental, emotional, occupational, intellectual and spiritual. The primary motivation for the wellness tourist is to engage in preventive, proactive, lifestyle-enhancing activities such as fitness, healthy eating, relaxation, pampering and healing treatments.

San Francisco chief economist sees “doom,” but not the “loop” in city’s future

Ted Egan discusses housing, tourism and investors’ need for certainty

When San Francisco considers legislation that could have an economic impact, the city’s Chief Economist Ted Egan gets the numbers that define that impact. His data and analyses go to the policymakers and voters who ultimately decide its fate. 

In recent years, as the city’s economic fortunes have faltered, Egan and his team within the city controller’s office have written reports supporting a reduction in affordable housing requirements and development fees, examined the possible impact of bike lanes on struggling commercial corridors and provided monthly updates on the city’s economic big picture. 

He’s currently working on reports covering the economic impact of two local ballot measures coming before voters this November : one business tax reform measure and another that would levy a new tax on ride hailing services like Uber, Lyft and Waymo to help fund the struggling San Francisco Municipal Transportation Agency. Post-election, the implications of rezoning the city in accordance with its state-mandated Housing Element will be on the top of his list. 

Egan spoke to TRD about where the city stands on housing and hospitality recovery, as well as why the current office decline leads him to “see doom,” but not the “loop” from the well-known headlines about the city. 

“Cities in a fiscal spiral, they have to cut spending, a lot of things start unraveling, and you have negative reinforcing dynamics,” said Egan, who grew up in Buffalo and has first-hand experience living through the plunging economy that came when factories closed en masse in the western New York city 40 years ago. “You could have that happen in San Francisco. It’s not a complete impossibility. But I don’t really see any of the warning signs.” 

What does the most recent data tell you about San Francisco’s economy? 

The good news has been more on the labor market side, and the bad news has been more on the real estate side. 

More than a third of our office space is vacant , but fortunately, our unemployment rate is not nearly that bad. It’s much better to have a lot of vacant office space than a lot of unemployed people.

We’ve seen a consistent uptick in tech employment since April. The worst may be over in terms of tech and it still has an outsized influence on our local economy.

Do those jobs make a difference if people aren’t coming into the office?

They make a difference in that they’re getting a paycheck, and they’re not requiring government assistance. They’re pumping money into the economy, just perhaps not in Downtown, where we were used to them pumping money into the economy before.

How has that impacted the retail and restaurant sector downtown?

The best way to look at that group of businesses is with sales tax data. San Francisco sales tax during the pandemic was the weakest of any county in California and the bulk of the pain was concentrated Downtown. 

As with most aspects of the city’s economy, sales tax recovery has been steady but slow, and we are not back to normal in many parts of the city, but particularly Downtown and especially when you think about inflation over the last four years.

The neighborhood corridors are doing better than Downtown , though not necessarily better than they were in 2019. It’s good not to be losing that sales tax to suburban jurisdictions, but it doesn’t really make up for the loss of revenue Downtown, which is not just about San Francisco residents, but commuters and visitors as well.

Your data shows that San Francisco is at about 80 percent of 2019 levels as far as revenue and occupancy in hotels, while other cities have more than recovered on both. Why the delayed recovery in the hospitality sector?

Business tourism is the big reason in terms of hotel revenue. We did get a big boost from international travel before the pandemic, especially from China, and that hasn’t recovered. But really we were much more dependent on business travel — and I mean the kind of transient business travel of people coming in for office meetings — than a lot of other places that just aren’t dynamic Downtown employment centers like we are.

We’ve seen the hotel industry pivot in San Francisco much more to leisure than it was before, and they’re just not sustaining the rates as much as the business travelers did. 

Our convention business, which is also really important to us, is not as strong as it was, while major competitors to us, places like San Diego and Las Vegas, are doing well. Some of that comes down to brand and the reputational hit the city has taken. 

I don’t see, structurally, San Francisco hospitality going back to 2019 because I don’t see the office world going back to 2019.

How does the city need to adjust its spending to account for lower revenue streams? 

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Business tax is about a billion and a half dollars of general fund revenue and we’ve estimated that if it wasn’t for work from home, it could be another $500 million a year. We haven’t seen as much budgetary loss from that revenue because our companies are still so successful, but in terms of foregone revenue, it has certainly hit us there as well. 

Every year we balance the budget in San Francisco—we’re required to by law. We have a five-year financial planning forecast, and it is showing a stark picture of revenue growth that is not at the level that we are used to seeing in the city, and costs growing at levels that, frankly, we are used to seeing in the city. And that’s not really sustainable for the long term.

When you give guidance about inclusionary zoning and lowering developer fees, is the upshot that it is worth the short term loss of city revenue to get things moving again?

Our office did recommend that the city needs to lower its inclusionary housing fees, and there wasn’t a lot of dissent about that. I think everybody realized that 23 percent of nothing is nothing.

If you want to see affordable housing get built through the inclusionary mechanism, then you need to set the fees at a level where at least some types of projects make financial sense. Nobody likes that news but as a policy decision, it’s not that hard to make. 

At the levels we recommended, the city is still going to see less housing production than we’re used to. But we would expect to see some low- and mid-rise projects be closer to feasibility. Our process is set up to look at the market every three years, and if the market is really different in three years, we can adjust things.

Any kind of investment where you’re making upfront investments of your funds, you want certainty, and the more uncertainty there is, the more signal there is not to invest.

What other potential policy changes are you keeping an eye on?

We’re going to continue to work on our property tax model and look at the results now that we have some assessment appeals data that’s going to help inform what we think our property tax revenue is going to look like. We did an exercise like that a couple of years ago that led us to estimate that maybe a third of our property tax revenue from offices would be at risk by the end of the decade.

We are seeing office values fall by 60 percent or more from a pre-pandemic peak but that doesn’t mean that the property tax is going to fall that much because of Proposition 13. We had one case of a property that sold at a big markdown, but hadn’t previously been sold since the early nineties so it was under-assessed relative to its value and its property tax is actually going to go up.

Office is only about 18% of the city’s total property tax, but we were also expecting weaknesses in other kinds of commercial real estate, and some in residential as well.

What about the residential market? 

Housing is a lot more affordable than before the pandemic. A San Francisco condo cost maybe six times the national average and now it’s less than four times the national average. San Francisco residential rents are basically flat since 2019, and they’re up 40 percent or 50 percent in most other markets, especially in suburban markets. 

We haven’t seen a flood of people moving into San Francisco yet to take advantage of that. The migration of people who moved in during 2021, 2022 fits the profile of the folks who were moving in before: a lot of tech workers, a lot of young people. So we’re not yet seeing a major shift in who’s choosing to live in San Francisco, but I’m not sure that the relative affordability story is done changing.

Housing is going to get cheaper still in relative terms and office space is going to get cheaper in relative terms and absolute terms. For any type of business, the chance to move into San Francisco during this lull in the market really paves the way for long-term stable growth in the city.

What can the city actually do to impact the speed of its economic recovery?

We do have a lot of control over things that we can adjust if we want to see more investment and more economic development.

One of the things that’s tricky now is we don’t know where the market wants to go, and we can’t really be in a position of leading the market. 

The private sector needs to see now is the right time to do this in Downtown San Francisco, and then you support that. I don’t think you want to come out with some bold vision and say, “This is how we think the future is going to be,” and then you don’t have capital, and you don’t have the expertise as a city to make that happen, and you don’t have the private sector partnerships.

Office vacancy is up everywhere, but office vacancy is up nowhere as much as it is in San Francisco. We are absolutely at the forefront of this trend of going from an incredibly hot office market to an incredibly cold office market, and it has to do with who our office mix is, and how much they have adapted and been able to thrive with remote work.