India''s tourism: a paradoxical product

India is a vast country with a large variety of tourist attractions which is yet to make its presence felt on the world tourism map. It has been able to carve a small niche for itself among international tourists but has failed to take a share of the package tourism industry as 90% of tourists coming to India do not buy any packages. A multitude of factors such as India's image, infrastructural bottlenecks, tough competition and inappropriate marketing are responsible for this situation. Its problems have certain peculiarities that demand context-sensitive handling. Nevertheless, the future of tourism in India is bright since it has witnessed growth rates well above average world figures. This report analyses the puzzle of Indian tourism and offers certain solutions.     

What determines international tourist arrivals in India?

Using data for 18 major tourist originating countries to India from 2001 to 2015, this study examines the major determinants of international tourist arrivals in India. The results indicate that past experiences of the tourists, per capita income in the tourist originating country, relative costs of living between India and the country of origin, and the level of infrastructure development in India are key determinants of international tourist arrivals in India. Furthermore, both transportation and communication infrastructure are important in attracting tourists to India. In particular, evidence suggests that availability of road and air network and telephone connections has favourable impacts on international tourist arrivals in India. These results are robust to the inclusion of additional variables. These results have important policy implications.     

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.     

Forecasting US Air Travelers to Europe,Caribbean and Asia

Travel and tourism are among the most important economic contributors to most, if not all, countries. According to the World Tourism Organization (WTO), the number of international arrivals showed remarkable growth, from 25 million international arrivals in 1950 to 699 million in 2000. This indicates an average annual growth rate of 7%. In the same period, tourism receipts recorded an average annual growth rate of 11%. In 2002, international tourism generated worldwide receipts of US$474 billion, corresponding to US$1.3 billion a day or US$675 per tourist arrival. In view of the important role that international tourism plays in the global economy, this research applied four time-series forecasting techniques to project the trend of US air travelers, a major source market, to Europe, Caribbean and Asia, the three leading outbound markets (second to Canada and Mexico) from the US in the period 2003–2005. Experimental outcomes reveal declining trends. This paper discusses the underlying factors for such trends. Lastly, this paper ends with a detailed discussion on policy implications.     

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.     

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.     

综合国家距离对中国入境旅游的影响——基于CAGE距离框架的实证研究

入境旅游在旅游发展中具有重要战略地位,而我国入境旅游发展相对滞后,甚至影响到我国服务贸易的高质量发展。旅游具有异地性特征,现有研究往往从文化距离、行政距离、地理距离或经济距离等单一距离开展研究。然而,多种距离同时影响游客决策,单一距离模型降低了距离因素的解释力,同时纳入模型又会造成共线性问题,导致现有研究结论间存在矛盾,阻碍理论发展与应用。Ghemawat提出的国家距离框架基于多种距离形成评价总体国家距离的综合国家距离,得到普遍认可。文章基于国家距离框架,整合来自世界银行数据库、霍夫斯泰德文化维度官方数据、双边地理距离数据库、世界经济论坛等相关数据,形成2006—2018年我国55个客源国入境旅游的平衡面板数据,系统分析了综合国家距离对入境游客量的主效应、非线性影响,以及客源国互联网使用率的调节作用,得到如下结论:(1)综合国家距离是影响我国入境游客量的显著变量,距离对入境游的影响是文化距离、行政距离、地理距离和经济距离的复合效应;(2)综合国家距离与入境游客量之间呈正U形关系,综合国家距离可以是入境旅游的阻碍因素,也可以是促进因素,入境游客量随着综合国家距离增加而先减少后增加;(3)客源国互联网使用率没有弱化综合国家距离的影响,反而产生极化作用,极化了综合国家距离在拐点左侧的负影响和在拐点右侧的正影响。以上发现的主要价值为:(1)增进了对距离因素在国际旅游中作用的理解,提出影响入境游客量的综合国家距离变量;(2)识别出综合国家距离与入境游客量呈现正U形关系,证实综合国家距离是细分客源国市场的新变量;(3)揭示出客源国互联网使用率对综合国家距离产生的极化效应,突出了我国采用互联网传播目的地形象的必要性和重要性。     

基于可持续发展视角的中国旅游业利用外资策略

从分析旅游业可持续发展投资的内涵入手,刻画旅游业外商直接投资与可持续发展的关系,剖析影响中国旅游业吸收可持续发展投资的主要因素,研究提出利用外资的系统策略:制定以可持续发展为目标的投资激励政策;将促进可持续发展纳入投资促进机构的目标体系;提高投资服务水平;塑造地区旅游形象;建立多种形式的可持续发展投资合作伙伴关系;建立具体指标体系和报告制度,对旅游业可持续发展投资进行评估和监督。     

Cross country relations in European tourist arrivals

This paper introduces an optimized Multivariate Singular Spectrum Analysis (MSS) algorithm for identifying leading indicators. Exploiting European tourist arrivals data, we analyse cross country relations for European tourism demand. Cross country relations have the potential to aid in planning and resource allocations for future tourism demand by taking into consideration the variation in tourist arrivals across other countries in Europe. Our findings indicate with statistically significant evidence that there exists cross country relations between European tourist arrivals which can help in improving the predictive accuracy of tourism demand. We also find that MSSA has the capability of not only identifying leading indicators, but also forecasting tourism demand with far better accuracy in comparison to its univariate counterpart, Singular Spectrum Analysis.     

Trends and Forecasts for Inbound Tourism to China

Summary

The development of tourism in China over the last two decades is reviewed. It is argued that the success of the economic reforms in China which has resulted in fast economic growth has also been the main cause of rapid tourism growth in China. Forecasts of international tourist arrivals by source country market and destination region within China are generated over the period 2001-05. An integrative approach is used which combines both time-series and econometric methodologies, termed structural integrated time-series econometric analysis (SITEA).     

Policy choices in South Asian tourism development

Government tourism initiatives in developing countries have been applauded by tourism scholars as a means of assisting a private sector that has insufficient resources and assuring public control of the industry's future. This article reviews the tourism development experience of seven South Asian countries (India, Pakistan, Bangladesh, Sri Lanka, Nepal, Bhutan, the Maldive Republic) on five policy options: public versus private tourism development; domestic versus international tourism; class versus mass tourism; centralization versus decentralization; and integrated versus enclave tourism. All of the governments in the region have been involved in tourism development to some degree, but they have shown considerable variation in their responses to these policy choices. Which choices are made by a specific country, it is suggested, will depend as much on political and cultural considerations as upon economic factors.     

Terrorism,Seasonality, and International Air Tourist Arrivals in Central Florida

The Orlando International Airport (OIA) is growing in its importance in the regional tourism of Central Florida. This study provides some explanation for the fast growth of the OIA international passenger traffic by developing a multiple regression model. Five variables are identified as significantly related to the passenger arrivals at the OIA. The positive relationship between the economic performance of other industrialized countries and the OIA international arrivals is consistence with the hypothesis that income is positive determinant in travel decision. The increasing hijacking incidents in Europe and the Middle East is found to have a destination substitution effect between Orlando and European/Middle East. Hijacking may have encouraged Canadian and European tourist to switch from European/Middle East destinations to the United States in general, and to Orlando in particular. The composite tourism supply variable, represented by the number of Orlando hotel/model rooms, is found to be positively related to the OIA international arrivals. The two dummy variables of seasonality represent the natural component of the tourism supply of Orlando, its pleasant winter and early spring sunshine. The model indicates that this natural factor contributes significantly to the international passenger arrivals.     

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.     

Identifying a destination’s optimal tourist market mix: Does a superior portfolio model exist?

Extant tourism research has used various portfolio model types to determine optimal tourist market mixes which simultaneously maximize total tourist expenditure and minimise the instability of international inbound tourism demand. We analyse the three portfolio models that have been applied in the tourism literature: two varieties of a levels model (that use the level of tourist arrivals, or bed nights to quantify tourist activity) and a growth rates model (that deploys the growth in the level of tourist activity). Applying these models using per capita expenditure in four distinctively different destination countries (Australia, Greece, Japan, and USA), we demonstrate that the Levels Model 1 is superior to the Levels Model 2 and the Growth Rates Model. It produces solutions that provide noticeably higher tourist expenditure with less instability of international tourism demand than the status quo. Theoretical contributions and practical implications for tourism policy makers and destination marketers are discussed.     

Examining the link between meetings,incentive, exhibitions,and conventions (MICE) and tourism demand using generalized methods of moments (GMM): the case of Singapore

ABSTRACT

This study investigates the impact of meetings, incentive, exhibitions, and conventions (MICE) on tourism demand in Singapore over a period of 10 years (2003–2012). Past studies have shown that MICE matters a great deal to host destinations but researchers have rarely conducted any empirical research to verify the significance of this sector to tourism demand. Our study intends to fill the gap by using Difference and System generalized methods of moments (GMM) estimators for dynamic panel models. Tourism demand is measured by tourist arrivals from the top 30 origins, and the influence of real income of the tourist generating country and real exchange rate is also examined. The GMM results show a significant positive relationship between tourism demand and MICE (with international meetings as proxies). Additionally, the findings reveal that tourism demand growth is significantly positive (negative) with respect to changes in income (relative prices). The coefficient of lagged tourist arrivals indicates a high level of habit persistence and revisiting.     

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 Sports Events on Inbound Tourism in New Zealand

Sports events are an instrument of destination marketing for host countries. Over the past 40 years, New Zealand has held sports events such as the Commonwealth Games and the America's Cup and many international tourists have visited New Zealand during these events. While past studies have examined the economic value of such tourism at a generic level, the impact of mega sports events at more specific levels is unknown. Thus, this study examines not only the impact of eight mega sports events upon New Zealand's international tourist arrivals over the 1983–2005 period at the overall level, but also the number of tourist arrivals from participating countries for each event. Results suggest that the 1990 Commonwealth Games, the 2000 America's Cup (yachting) and the 2005 British and Irish Lions Tour (rugby) had a significant impact on tourist arrivals overall and on arrivals from each participating country.     

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.     

Co-Integration and Error Correction Estimation to Forecast Tourism in El Salvador

Using co-integration and error correction models, the objective of this study was to systematically analyze the factors affecting the international tourism demand for El Salvador. The results indicate that the degree of responsiveness of tourist arrivals to El Salvador due to a change in income is elastic and quite differs from country to country. Residents from Honduras appeared to be less responsive to prices than residents from the other origin countries. The dynamic specification of error correction models further confirms the majority of the results obtained in the co-integration relationships. The findings are useful for private developers and public tourism planners in El Salvador. Marketing of specific tourism attributes could enable El Salvador to gain comparative advantage over its competitors.