ABSTRACT

Despite the vital significance of the tourism sector for economic growth and employment generation in India as well as the growing popularity of India as a tourist destination, the literature examining the country-pair specific determinants for international tourism demand remains scarce. CAGE (Cultural-Administrative-Geographical-Economic) Distance framework by Ghemawat [(2001). Distance still matters. Harvard Business Review, 79(8), 137–147.] was employed in an augmented gravity model to examine the role of multidimensional distances from the source countries in determining international tourism inflows into India. The gravity model incorporates data for tourist arrivals to India from 54 source countries from 2004 to 2018. Results highlight that cultural distance, administrative distance and geographic distance significantly and negatively influence the tourist inflows while the influence of economic distance is significant and positive. The findings provide insights that aid the drafting of policies by the policymakers as well as the design and implementation of customized strategies by the businesses and service providers in the tourism industry.

摘要

尽管旅游业对印度经济增长和创造就业具有至关重要的意义，而且印度作为旅游目的地越来越受欢迎，但研究国际旅游需求的国家对特定决定因素的文献仍然很少。Ghemawat 的 CAGE（文化-行政-地理-经济）距离框架 [(2001)。距离仍然很重要。哈佛商业评论, 79(8), 137–147.]被用于增强引力模型中，以检验距来源国的多维距离在确定印度国际旅游流入量中的作用。引力模型纳入了 2004 年至 2018 年 54 个来源国到印度的游客人数数据。结果表明，文化距离、行政距离和地理距离对游客流入量产生显着的负面影响，而经济距离则产生显着的正向影响。研究结果提供了见解，有助于政策制定者起草政策，以及旅游业企业和服务提供商设计和实施定制战略。