4.4 Article

Transportation connectivity strategies and regional tourism economy-empirical analysis of 153 cities in China

Journal

TOURISM REVIEW
Volume 77, Issue 1, Pages 113-128

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/TR-03-2021-0134

Keywords

Fuzzy-set qualitative comparative analysis; Tourism revenue; Tourist arrivals; High-speed rail; Tourism economy; Transportation connectivity strategy

Funding

  1. National Social Science Foundation of China [21CGL024]
  2. Science and Technology Project of Henan Province [212400410259]
  3. Nanhu Scholars Program for Young Scholars of XYNU

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This study uses fuzzy-set qualitative comparative analysis on a sample of 153 cities in China to provide an understanding of the impacts of transportation connectivity strategies on the development of regional tourism economies. The findings identify high-speed rail as a supportive element, while socio-economic status and hospitality capacity are crucial influencers for the tourism economy.
Purpose A transportation connectivity strategy is a crucial part of an adaptive, congruent and sustainable tourism transportation system and is of concern to countries focusing on growing their tourism economy. This study aims to gain a better understanding of the relationship between transportation connectivity and the tourism economy through a configuration analysis. Design/methodology/approach This study uses fuzzy-set qualitative comparative analysis on a sample of 153 cities in China to provide an understanding of the impacts of transportation connectivity strategies, with the co-effecting factors of socio-economic status, tourism resource endowment and hospitality capacity, on the development of regional tourism economies. Findings There are multiple paths that lead to regional tourism economic development (a high level of tourist arrivals or a high level of tourism revenue). High-speed rail can play a supportive role, while air travel or traditional rail remains central to the tourism economy. Socio-economic status (i.e. city size and city gross domestic product) and hospitality capacity are identified as crucial influencers for the development of the tourism economy. Research limitations/implications This study confirms the validity of deploying configuration analysis (based on the equifinality theory) to establish the relationship between transportation and the tourism economy. The finding of more than one configuration led to a new consensus on how multiple factors influence the tourism economy. Practical implications Suggestions on transportation connectivity strategies for different regions are provided. Originality/value This study demonstrates the need to place greater emphasis on configurations that lead to tourism economy development instead of the effect of a single transportation mode.

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