Abstract

PurposeThis paper aims to consider the role of geopolitical risk in explaining tourism demand in India, a major tourist destination of the Asian region. Furthermore, the study also considers how in addition to geopolitical risk, economic policy uncertainty, economic growth, exchange rate, inflation and trade openness impact tourism demand.Design/methodology/approachThe Bayer and Hanck (2013) method of cointegration is applied to explore the relationship between geopolitical risk and tourism demand. Furthermore, the study has also used the auto distributed lag model to determine whether there is a long-run cointegrating association between tourism demand, geopolitical risk, economic policy uncertainty, economic growth, exchange rate and trade openness. Finally, the vector error correction model confirms the direction of causality across the set of the major variables.FindingsThis paper finds that geopolitical risk adversely impacts inbound international travel to India. This study also obtains the consistency of the results across different estimation techniques controlling for important macro variables. The Granger causality test confirms the unidirectional causality from geopolitical risk to tourism and further from economic uncertainty to tourism. The findings from the study confirm that geopolitical risks have long-term repercussions on the tourism sector in India. The results indicate that there is an urgent need to develop a pre-crisis management plan to protect the aura of Indian tourism. The tourism business houses should develop skilful marketing strategies in the post-crisis to boost the confidence of the tourists.Research limitations/implicationsThis paper provides valuable practical implications to tourism business houses. The tourism business houses can explore geopolitical risk measure and economic policy uncertainty measure to analyse the demand for international tourism in India. Further, the major stakeholders can establish platforms to help tourists to overcome the fear associated with geopolitical risk.Originality/valueThis study is the first of its kind to explore the geopolitical risks and their long-run consequences in the context of tourism in India. The study puts emphasis on the role of national policy to maintain peace otherwise it would be detrimental to tourism.

Highlights

  • The literature on tourism economics has firmly established that inbound tourism leads to economic expansion in the destination country

  • 4.1 Model The study investigates how tourism in India is impacted by the geopolitical risk index, to avoid the problem of the omitted variable bias, economic policy uncertainty index, industrial production, inflation, exchange rate and trade openness are used as additional control

  • A 10% rise in the geopolitical risk index leads to a lowering of tourism growth by 6.2% in the long-run

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Summary

Introduction

The literature on tourism economics has firmly established that inbound tourism leads to economic expansion in the destination country. According to the reports of the World Tourism Organization (2018), tourism is the third-largest industry in terms of global export receipts. The tourism industry is facing a high degree of uncertainty owing to global tensions, terror attacks, geopolitical risk and economic uncertainty. Tourism responds adversely to geopolitical risk, economic uncertainty and political unrest. We discuss how geopolitical risks impact tourism in India, based on monthly observations from January 2015 to December 2017. Caldara and Iacoviello (2018)) defines geopolitical risk as “the risk associated with wars, terrorist acts and tensions between states that affect the normal and peaceful course of international relations” We discuss how geopolitical risks impact tourism in India, based on monthly observations from January 2015 to December 2017. Caldara and Iacoviello (2018)) defines geopolitical risk as “the risk associated with wars, terrorist acts and tensions between states that affect the normal and peaceful course of international relations” (2018, p. 6)

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