The Spatial Network Structure of Tourism Efficiency and Its Influencing Factors in China: A Social Network Analysis

Guangming Yang, Yunrui Yang, Guofang Gong () and Qingqing Gui
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Guangming Yang: School of Management, Chongqing University of Technology, Chongqing 400054, China
Yunrui Yang: School of Management, Chongqing University of Technology, Chongqing 400054, China
Guofang Gong: School of Management, Chongqing University of Technology, Chongqing 400054, China
Qingqing Gui: School of Management, Chongqing University of Technology, Chongqing 400054, China

Sustainability, 2022, vol. 14, issue 16, 1-22

Abstract: Although tourism has gradually become a popular form of leisure and entertainment in China, the quality of China’s tourism development remains unclear. Through the panel data of 30 provinces in China, an SBM-DEA model and a social network analysis are used to explore the quality of tourism development, and a spatial econometric regression is used to identify the relevant factors affecting tourism efficiency. The study found that the level of tourism efficiency in Southwest China is high and stable. The northwest region has a low level of tourism efficiency, but a slow growth trend. The rest of the regions show fluctuating trends of tourism efficiencies. The spatial correlation network of provincial tourism efficiency is gradually complicated. Regarding influencing factors, the number of patents granted, traffic levels, financial development, and government macro-control all have positive effects on tourism efficiency. The study uncovered some useful management insights and implications for the travel industry.

Keywords: tourism efficiency; SBM-DEA; social network analysis; spatial measures; spatial analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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