<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study examines the determinants of international tourism demand in India using time series data from 1991-2019 from the top 15 source tourist countries. To do this, the study employed an augmented gravity model estimated using a two-step panel fixed-effect model to identify the factors affecting tourism demand in India. These factors include the income of both India and its origin countries. The domestic exchange rate of both India and the source country is included to capture the impact of the cost of living and prices of goods and services. Supporting variables like distance, common border, and common language between India and source of origin country were also identified. Further, it includes the impact of similarity and common membership to SAARC. Empirical results indicate that the level of Indian income, language, and similarity have a positive impact on tourism inflow to India. On the other hand distance and the domestic exchange rate of India have negative impacts. Further, the income level of origin countries has a significant positive impact. Also, common membership to SAARC and the common border between India and the origin country have a significant positive impact on tourism demand in India. Furthermore, international demand for Indian tourism is not affected by the relative price in the origin country.</p>
</abstract>

This study examines the determinants of international tourism demand in India using time series data from 1991-2019 from the top 15 source tourist countries. To do this, the study employed an augmented gravity model estimated using a two-step panel fixed-effect model to identify the factors affecting tourism demand in India. These factors include the income of both India and its origin countries. The domestic exchange rate of both India and the source country is included to capture the impact of the cost of living and prices of goods and services. Supporting variables like distance, common border, and common language between India and source of origin country were also identified. Further, it includes the impact of similarity and common membership to SAARC. Empirical results indicate that the level of Indian income, language, and similarity have a positive impact on tourism inflow to India. On the other hand distance and the domestic exchange rate of India have negative impacts. Further, the income level of origin countries has a significant positive impact. Also, common membership to SAARC and the common border between India and the origin country have a significant positive impact on tourism demand in India. Furthermore, international demand for Indian tourism is not affected by the relative price in the origin country.

Determinants of International Tourism Demand in India: An Augmented Gravity Model Approach

Studia Universitatis „Vasile Goldis” Arad – Economics Series

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study examines the determinants of international tourism demand in India using time series data from 1991-2019 from the top 15 source tourist countries....

Determinants of International Tourism Demand in India: An Augmented Gravity Model Approach

Online veröffentlicht: 12. Juli 2022

Seitenbereich: 102 - 115

Eingereicht: 01. Nov. 2021

Akzeptiert: 01. Jan. 2022

DOI: https://doi.org/10.2478/sues-2022-0014

Schlüsselwörter
Tourism, India, gravity model, GDP, SAARC, distance

© 2022 Imtiyaz Ahmad Shah et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Determinants of International Tourism Demand in India: An Augmented Gravity Model Approach

Online veröffentlicht: 12. Juli 2022

Seitenbereich: 102 - 115

Eingereicht: 01. Nov. 2021

Akzeptiert: 01. Jan. 2022

DOI: https://doi.org/10.2478/sues-2022-0014

SchlüsselwörterTourism, India, gravity model, GDP, SAARC, distance

© 2022 Imtiyaz Ahmad Shah et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Tourism, India, gravity model, GDP, SAARC, distance