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Arid Land Geography ›› 2023, Vol. 46 ›› Issue (12): 2052-2060.doi: 10.12118/j.issn.1000-6060.2023.157

• Regional Development • Previous Articles     Next Articles

Spatiotemporal evolution characteristics and influencing factors of provincial tourism efficiency in China

XU Xiaoliang(),HUANG Dan,LIU Xuyi,GUAN Jingyun()   

  1. School of Tourism, Xinjiang University of Finance and Economics, Urumqi 830012, Xinjiang, China
  • Received:2023-04-07 Revised:2023-05-16 Online:2023-12-25 Published:2024-01-05

Abstract:

The issue of imbalanced and insufficient development in China’s tourism industry remains prominent. Clarifying the spatiotemporal evolution characteristics and driving forces of tourism efficiency is crucial for enhancing efficiency and promoting the high-quality development of regional tourism. Using the data envelopment analysis model, this study assesses the tourism development efficiency of 31 provinces (excluding Hong Kong, Macao, and Taiwan regions) from 2009 to 2019. It employs spatial autocorrelation, cold and hot spot analysis, and regression models to analyze the spatiotemporal evolution characteristics and factors influencing China’s provincial unit tourism efficiency. The research reveals the following: (1) Between 2009 and 2019, China’s tourism industry efficiency exhibited a steady upward trend. Significant differences in the spatial distribution of various efficiency levels were observed, with strengthening spatial agglomeration characteristics. The tourism growth mode is transitioning from extensive to intensive development. (2) There is a notable spatial positive correlation in the development efficiency of China’s provincial tourism industry. The average comprehensive efficiency, average pure technical efficiency, and average scale efficiency of tourism industry development exhibit a spatial pattern of “hot in the south and cold in the north” at the local level. (3) The comprehensive efficiency of the tourism industry is strongly influenced by the quality of tourism resources. Pure technical efficiency is primarily affected by the positive impact of transportation reachability, while the quality of tourism development is the main positive impact factor of scale efficiency. (4) Enriching tourism product formats, improving regional tourism cooperation mechanisms, and optimizing the tourism industry structure emerge as crucial strategies for enhancing the development efficiency of China’s provincial tourism industry. The research findings provide a theoretical basis and practical paradigm for formulating regional tourism collaborative development strategies and achieving the high-quality development of the tourism industry.

Key words: tourism efficiency, data envelopment analysis, spatial differentiation, influencing factors, provincial scale, China