2022
DOI: 10.1177/00472875221119128
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Does Economic Globalization Shape the International Tourism Structure? A Cross-National Panel Data Estimation

Abstract: Economic globalization, the primary mechanism of globalization, has driven the flourishing of international tourism. However, little research has empirically revealed how it affects international tourism from a structural perspective. Based on network theory, this study applies network analysis and fixed-effects panel data estimation techniques to examine the impact of economic globalization on the structure of international tourism and the moderating role of uncertainty avoidance as an inertia factor in this … Show more

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Cited by 6 publications
(4 citation statements)
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References 107 publications
(224 reference statements)
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“…The restriction due to the ongoing COVID-19 has negatively affected trade and investment due to the increased of barriers. Moreover, Shao et al (2022) argued that supply chain has been weakened and, therefore, limited the interdependence among countries.…”
Section: Introductionmentioning
confidence: 99%
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“…The restriction due to the ongoing COVID-19 has negatively affected trade and investment due to the increased of barriers. Moreover, Shao et al (2022) argued that supply chain has been weakened and, therefore, limited the interdependence among countries.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, its contribution to global job creation was 10.3% 2. However, in recent years, the tourism industry has been hardly hit by the ongoing COVID‐19 pandemic due to restrictions imposed by many governments to contain the virus (Shao et al., 2022; Xu et al., 2022). The restriction due to the ongoing COVID‐19 has negatively affected trade and investment due to the increased of barriers.…”
Section: Introductionmentioning
confidence: 99%
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“…WANG studied the evolution characteristics of spatial network structures in tourism e ciency using data envelopment analysis (DEA) and social network analysis (SNA) 28 . SHAO, based on network theory, utilized network analysis and xed-effects panel data estimation techniques to explore the degree of in uence of economic globalization on inbound and outbound tourism networks 29 .…”
mentioning
confidence: 99%