Prospects for Latin America and Caribbean Region in the Global Market for International Tourism: A Projection to the Year 2020

International tourism has become very important to several developing countries as a major source of foreign exchange earnings for their economic development. This article explores the potentials of countries of the Latin America and Caribbean region in the global market for international tourism up to the end of the next decade. This was achieved by analyzing past trends of international tourism in the region, and projecting these trends to the year 2020 using a combination of four different time‐series projection models evaluated by the mean absolute percentage error (MAPE). Results show that international tourism arrivals into the Latin America and Caribbean region would increase from 51.21 million in 2004 (end of observed period) to between 87.58 million and 100.03 million by the year 2020. The corresponding figures for international tourism receipts would go from US$34.11 billion in 2004 to between US$64.92 billion and US$75.79 billion by the year 2020. Socioeconomic impacts of these findings are given, and recommendations for marketing strategies, government public policies, and directions for future research are discussed.     

Troubled passage to India

India represents an interesting case of a country which, despite its size and its immense potential as a tourist destination, has seen relatively low levels of international tourist arrivals and receipts. In fact, growth in international arrivals and receipts in the country during the past decade has not kept pace with the global rates of increase. Two sets of interrelated factors have been found to be largely responsible for this poor performance of India's tourism sector. The first factor is the low prioritization of tourism in the hierarchy of development directions identified by the Government. As a consequence, key areas such as tourism infrastructure development, marketing and promotion, and manpower development have lagged behind the industry's requirements. The second factor relates to India's aviation policy, which has led to the lack of adequate and high quality air transport services into India. The paper will show how these factors have retarded the growth of the tourism industry in India and will offer some insights on how these problems could be addressed by the Government.     

A meta-analysis of econometrics studies of tourism and low-carbon development

Inconclusive findings across different empirical studies have been found regarding the effects of tourism on low-carbon development. Corresponding to these conflicting results, this study employed the meta-analytic method to examine the effects of tourist arrivals and tourism receipts on carbon emissions and energy use, respectively, based on 260 effect sizes derived from 47 selected high-quality econometrics studies. In addition, this study further tested the moderators of these effects. The results show that tourist arrivals and tourism receipts have significant positive impacts on carbon emissions and energy use. Moreover, the destination type, research method, number of instrumental variables, the midpoint of the research period, and the research period significantly moderate these effects. This study finally discussed these results and highlighted the theoretical implications for future research and practical implications for the sustainable development of tourist destinations where decision-makers seek both low-carbon transition and tourism growth.     

Assessing the importance of international tourism for the Turkish economy: A social accounting matrix analysis

The international tourism sector has grown rapidly in Turkey since the 1980s and Turkey ranks among the top ten countries in terms of tourist arrivals and receipts. Previous studies on international tourism in Turkey are partial equilibrium studies which emphasized the importance of the sector for foreign exchange earnings, employment creation, and economic growth. The social accounting matrix (SAM) modeling approach is superior to partial equilibrium analysis as it takes into account intersectoral linkages. This paper analyzes the contribution of international tourism to the Turkish economy using two SAMs for 1996 and 2002, respectively. Two analyses are conducted using the SAM impact model: (i) sectoral comparison of GDP elasticities, and (ii) SAM impact analysis of international tourism on output, value-added, and employment. The results show that the GDP elasticity of international tourism is relatively low and the impact of foreign tourist expenditures on domestic production, value-added (GDP), and employment in Turkey are modest. The results imply the possibility of leakage of foreign tourist expenditures out of the economy.     

Global Financial/Economic Crisis and Tourist Arrival Forecasts for Hong Kong

This paper examines the impact of the global financial/economic crisis on the demand for Hong Kong tourism by residents of 10 major source markets for the period 2009–2012. To capture the influence of this crisis, the Autoregressive Distributed Lag Model (ADLM) is used to calculate the demand elasticities, and four scenarios (ranging from the most pessimistic to the most optimistic) are created to examine the possible impacts of changes in source market income levels and the price of tourism on the demand for Hong Kong tourism in these markets. The demand elasticities reveal that the economic conditions in the source markets are the most significant determinants of demand for Hong Kong tourism. In the most pessimistic scenario, total tourist arrivals to Hong Kong are projected to reach 27.6 million in 2009 and 26.0 million in 2012, whereas in the most optimistic scenario, these numbers are 30.7 million in 2009 and 33 million in 2012. In all of the scenarios, tourist arrivals from the long-haul markets are expected to suffer more losses relative to the short-haul markets during the 2009–2012 forecasting period. The forecasts also indicate that the market shares of the source markets will change slightly over this period, with Mainland China, Taiwan and Japan constituting the dominant markets for Hong Kong tourism.     

Modelling and forecasting daily international mass tourism to Peru

Peru is a South American country that is divided into two parts by the Andes Mountains. The rich historical, cultural and geographic diversity has led to the inclusion of ten Peruvian sites on UNESCO's World Heritage List. For the potentially negative impacts of mass tourism on the environment, and hence on future international tourism demand, to be managed appropriately require modelling growth rates and volatility adequately. The paper models the growth rate and volatility (or the variability in the growth rate) in daily international tourist arrivals to Peru from 1997 to 2007. The empirical results show that international tourist arrivals and their growth rates are stationary, and that the estimated symmetric and asymmetric conditional volatility models all fit the data extremely well. Moreover, the estimates resemble those arising from financial time series data, with both short and long run persistence of shocks to the growth rate in international tourist arrivals.     

Tourism development,energy consumption and Environmental Kuznets Curve: Trivariate analysis in the panel of developed and developing countries

The study investigates the relationship between economic growth, carbon dioxide emissions, tourism development, energy demand, domestic investment and health expenditures with an aim to test the validity of the Environmental Kuznets Curve (EKC) hypothesis in the panel of three diversified World's region including East Asia & Pacific, European Union and High income OECD and Non-OECD countries. The study covers the period of last nine years i.e. 2005–2013. The study used the principal component analysis (PCA) to construct tourism development index which is the amalgamation of number of tourists' arrivals, tourism receipts and international tourism expenditures. The results validate the inverted U-shaped relationship between carbon emissions and per capita income in the region. The results further substantiate the following causal relationships i.e. i) tourism-induced carbon emissions, ii) energy-induced emissions, iii) investment – induced emissions, iv) growth led tourism, v) investment led tourism and vi) health led tourism development in the region.     

How shark conservation in the Maldives affects demand for dive tourism

Shark-diving tourism provides important economic benefits to the Maldives. We examine the link between shark conservation actions and economic returns from diving tourism. A combined travel cost and contingent behaviour approach is used to estimate the dive trip demand under different management scenarios. Our results show that increasing shark populations could increase dive-trip demand by 15%, raising dive tourists’ welfare by US$58 million annually. This could result in annual economic benefits for the dive-tourism industry of >US$6 million. Conversely, in scenarios where shark populations decline, where dive tourists observe illegal fishing, or if dive operators lack engagement in shark conservation, dive trip demand could decrease by up to 56%. This decline causes economic losses of more than US$24 million annually to the dive tourism industry. These results highlight the dependence of the shark-diving industry on the creation and enforcement of appropriate management regimes for shark conservation.     

An empirical study of inbound tourism demand in China: a copula-GARCH approach

This paper proposes new models for analyzing the volatility and dependence of monthly tourist arrivals to China applying a copula-GARCH approach. A desegregation of the top six origins of China inbound tourists from the period January 1994 to December 2013 is used in this study. The empirical results show that there is a strong seasonal effect in all cases and ?????? some habit persistence on monthly tourist arrival growth rate for South Korea, Russia, the United States (US), and Malaysia. Second, the volatilities of arrival growth rates to China are impacted significantly by their own short- and long-run effects, except for Russia and South Korea. Only short-run shock affects Russian arrivals while only long-run shocks are affecting South Korea arrivals. Third, the conditional dependence among different source countries is found to be positive and significant, but the conditional dependence for all considered pairs is low. Moreover, there is extreme co-movement (tail dependence) between the six major tourism source countries, suggesting the pairwise of international tourist arrivals shows a related increasing or decreasing pattern during extreme events. Implications are discussed and recommendations provided.     

International ecotourism and economic development in Central America and the Caribbean

Using annual data for the period 1995–2012 for seven Central American and Caribbean countries, six different open-economy growth models that allow for international (eco-) tourism are estimated using panel-data techniques. Two main results of the investigation are that international tourist arrivals per capita have a highly significant impact on real GDP per capita, and also that five different sustainability indicators interacted with international tourism have a positive impact on economic development. Furthermore, quantile regression shows that lower and medium income deciles of the population in particular benefit from international (eco-) tourism. The results are complemented by very similar findings for a set of 12 Central American and Caribbean countries using only two sustainability indicators, thus corroborating the validity of the specification. In addition, control variables are also generally significant and they feature the algebraic signs expected from economic theory.     

Quality and endogenous tourism: An empirical approach

We propose a theoretical model and an empirical study that highlight the role of quality of tourism services and endogenous tourism in long-run economic growth. We study a theoretical growth model of international trade where tourism is the growth engine and quality of tourism services has a positive impact on long-term growth. We also provide an empirical analysis to test the relation between tourism, quality and economic growth in Spain over the period 1970–2010. Our results show that in the long run, tourist arrivals, quality of tourism accommodations, and foreign GDP have a positive effect on Spanish GDP. In the short term, changes in economic growth appear to lead to growth in tourist arrivals. Our findings support a two-way causal relationship between real GDP growth and tourism growth in Spain.     

Tourism product development and the changing consumer demand: A case study of Kenya

Kenya is an important tourist destination in Africa accounting for over 6% of the total international tourist arrivals to the continent. However, in recent years Kenya's tourism industry has been experiencing problems of poor performance and continuing decline in the number of international tourist arrivals. This study examines the main characteristics of the country's tourism product vis‐a‐vis the changing trends in global tourism market demands. It is argued that the underlying cause of the recent poor performance of the tourism industry relates to the nature of the country's tourism product. Over the years, Kenya has been offering a limited tourism product that is based on beach and wildlife tourism. Also, the marketing of Kenya mainly depends on overseas tour operators who mainly sell inclusive tour packages. Thus, the form of tourism product that is offered by Kenya has not responded to the recent changes and trends in international tourism market demands. Post‐modern tourists, particularly tourists from developed countries, are increasing becoming aware of the negative impacts of mass tourism and are increasingly looking for alternative tourism products that provide a deeper and more meaningful experience. Thus, if Kenya is to rejuvenate its tourism industry there is need for the country to provide a diverse alternative tourism product which is more appealing to the post‐modern tourists.     

Modelling and forecasting the demand for Hong Kong tourism

The main objectives of this paper are to identify the factors which contribute to the demand for Hong Kong tourism with the aid of econometric models and to generate forecasts of international tourism arrivals to Hong Kong for the period 2001–2008. The general-to-specific modelling approach is followed to model and forecast the demand for Hong Kong tourism by residents from the 16 major origin countries/regions and the empirical results reveal that the most important factors that determine the demand for Hong Kong tourism are the costs of tourism in Hong Kong, the economic condition (measured by the income level) in the origin countries/regions, the costs of tourism in the competing destinations and the ‘word of mouth’ effect. The demand elasticities and forecasts of tourism arrivals obtained from the demand models form the basis of policy formulations for the tourism industry in Hong Kong.     

The contribution of tourism to the economy of Ireland in 1990 and 1995

The paper describes how input-output modelling methods have been used, to estimate economic impacts of tourism expenditure in Ireland and passenger fares during 1990 and 1995, measured as GNP, employment, government revenue and Balance of Payments credit. Full details of calculating 1990 impacts are shown in an appendix to the main text. Corresponding 1995 impacts are presented without background details. These tourism impacts, as shares of national aggregates, are in the range 7–11%, which is worthwhile. Per IR£ million receipts, international tourism shows a higher GNP impact than aggregate exports of goods and services.     

中国旅游全要素生产率差异与收敛实证研究

本文利用非参数DEA—Malmquist指数方法测算了2001～2009年中国省际旅游全要素生产率,并进行生产率指数分解,对中国旅游全要素生产率时序变化和区域差异进行了分析,之后又利用经济增长收敛理论对中国旅游全要素生产率进行了盯和口收敛性检验。实证研究结果表明,中国旅游全要素生产率年均增长12．7％,其中,技术进步创新率为6．7％,技术效率增长5．6％,技术进步是中国旅游全要素生产率增长的主要源泉;中国旅游全要素生产率存在显著的时空差异性;中国旅游全要素生产率并不存在显著矿收敛和条件18收敛,但存在显著绝对卢收敛,说明中国各地区旅游全要素生产率差距正在逐步缩小,最终收敛于相同的稳态均衡水平,然而由于中国旅游业发展尚未达到成熟阶段,所以现阶段中国旅游全要素生产率增长尚未找到自身合适的条件收敛路径。     

Analysis of international tourist arrivals in China: The role of World Heritage Sites

This paper analyzes the determinants of international tourist arrivals in China, especially for World Heritage Sites and various kinds of travel spots. Utilizing annual provincial panel data over the 2000–2005 period, the empirical results suggest that key determinants include the relative income, population in the original country, cost of travel, and tourism infrastructure. In addition, World Heritage Sites are also found to be significant in explaining the numbers of international tourists and have a greater tourist-enhancing effect. Other famous tourist sites rated 4A- and 3A-class are also attractive to foreign tourism. Moreover, cultural rather than natural sites attract more interest among foreign tourists, because China is internationally renowned for its long-standing historical and cultural assets. Finally, the importance of the determinants of the demand for tourism varies from country to country.     

The impact of tourism developments on CO2 emissions: An advanced panel data estimation

Vulnerability and interaction between tourism and climate change are among the most important issues discussed recently. In this context, this study focuses primarily on how CO₂ emissions, the main source of global warming and climate change, react to tourism developments. To this end, the impact of tourism developments on CO₂ emissions in the most visited countries is examined from 1995 to 2014 by conducting the continuously updated fully modified (CUP-FM) and the continuously updated bias-corrected (CUP-BC) estimators. Empirical results indicate that tourism arrivals have an increasing effect on CO₂ emissions, while tourism receipts have a reducing effect on CO₂ emissions. Results also reveal a possible co-movement and causal relationship between tourism developments and CO₂ emissions in the long-run.     

The Determinants of the Travel Demand on International Tourist Arrivals to Thailand

The purpose of this study is to develop a travel demand model of international tourist arrivals to Thailand and to assess the impact of crisis incidents on Thailand's tourism industry. A 20-year (1987–2006) annual time series data of “number of international tourist arrivals”, “exchange rate”, “promotion budget”, and dummy variables of “Asia financial crisis”, “special promotional campaigns”, “SARS” and “tsunami” were used to develop the travel demand model by performing a multiple regression analysis. The results showed that travel demand of international tourist arrivals to Thailand could be explained by “exchange rate”, “promotion budget”, “Asia financial crisis” and “SARS”.     

The long-run impact of exchange rate regimes on international tourism flows

Notwithstanding the systematic inclusion of an exchange rate variable of some form in studies examining international tourism flows, hardly any research has been carried out to test for a possible exchange rate regime effect. Drawing from recent advances in exchange rate regime classifications, this paper begins to fill this gap by investigating the impact of exchange rate regimes on international tourism flows. The study employs a system generalized methods of moments (SYS-GMM) estimation for tourist arrivals on a panel of 27 Organization for Economic Co-operation and Development (OECD) and non OECD countries for the period 1980–2011. The results identify multiple exchange rate regime effects and support the importance of maintaining a relatively stable exchange rate to attract international tourist arrivals.