What Deters India to Emerge As a Major Hotspot Of Foreign Tourist Arrivals: an Empirical Inquiry From a Determinant Perspective

IF 1 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM Tourism Review International Pub Date : 2022-12-19 DOI:10.3727/154427222x16438247292427
R. S. K. Lekshmi, Hrushikesh Mallick
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Abstract

This study investigates the major factors influencing foreign tourist arrivals (FTAs) in India by incorporating the impacts of structural changes in policies. This is very much relevant in policy making since it portrays which determinants attract and dissuade FTAs. By implementing ARDL to cointegration technique on the annual data from 1985 to 2020, it uncovers the long-run relationship between FTAs and its determinants. The estimates obtained from ARDL model interestingly reveal that in the long-run, real GDP of destination, real per capita GDP of source, terrorism incidents in source, and air transport connectivity of the destination with major source countries are the crucial determinants that encourage FTAs. In contrast, real exchange rate (RER) of Indian Rupee per US dollar, terrorist incidents, and cognizable crimes in the destination are observed to have strong negative impacts and are dissuading FTAs into India. Further, an application of dynamic ordinary least square (DOLS) and canonical cointegration regression (CCR) techniques validated the estimates, ensuring robustness of our findings. This knowledge helps the policy making in recommending more investment on factors of attraction and dampening the effect of dissuading factors. Identifying a country's strength and weaknesses in tourism helps in a long way to ameliorate FTAs and foreign exchange earnings (FEE).
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是什么阻碍了印度成为外国游客到达的主要热点:从决定因素的角度进行实证调查
本研究结合政策结构变化的影响,探讨了影响印度外国游客入境(fta)的主要因素。这与政策制定非常相关,因为它描绘了哪些决定因素吸引和阻止自由贸易协定。通过对1985 - 2020年的年度数据实施ARDL协整技术,揭示了自由贸易协定及其决定因素之间的长期关系。从ARDL模型得到的估计有趣地显示,从长期来看,目的地的实际GDP、来源国的实际人均GDP、来源国的恐怖主义事件以及目的地与主要来源国的航空运输连通性是鼓励自由贸易协定的关键决定因素。相比之下,印度卢比兑美元的实际汇率(RER)、恐怖事件和目的地的可认知犯罪被观察到有很强的负面影响,并劝阻自由贸易协定进入印度。此外,动态普通最小二乘(DOLS)和典型协整回归(CCR)技术的应用验证了估计,确保了我们研究结果的稳健性。这种认识有助于政策制定在吸引因素上推荐更多的投资,并抑制劝阻因素的影响。确定一个国家在旅游业方面的优势和劣势,对改善自由贸易协定和外汇收入(FEE)有很大帮助。
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来源期刊
Tourism Review International
Tourism Review International HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
3.90
自引率
11.80%
发文量
19
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