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Impact of multidimensional distances on inbound tourist arrivals: evidence from India

Impact of multidimensional distances on inbound tourist arrivals: evidence from India 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Policy Research in Tourism Leisure and Events Taylor & Francis

Impact of multidimensional distances on inbound tourist arrivals: evidence from India

22 pages

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References (98)

Publisher
Taylor & Francis
Copyright
© 2023 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1940-7971
eISSN
1940-7963
DOI
10.1080/19407963.2023.2221032
Publisher site
See Article on Publisher Site

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.

Journal

Journal of Policy Research in Tourism Leisure and EventsTaylor & Francis

Published: Jun 10, 2023

Keywords: Gravity model; international tourism inflows; India; CAGE distance framework; panel data

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