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Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors

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  • Huadi Wang
  • Shaogui Xu
  • Qiuyi Xie
  • Jianying Fan
  • Nianxing Zhou
  • Jun Li

Abstract

Tourism efficiency can be used to effectively measure the utilization of regional tourism resources and the state of tourism economic development. Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency of 11 provinces and cities in eastern China for 2010 to 2019. In combining ArcGIS 10.0 and MATLAB 2016b software, this article studies the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities and influencing factors. The results show that (1) the overall tourism efficiency of eastern provinces is at a high level and relatively stable, but the regional distribution is quite varied, and problems of spatial imbalance are prominent; (2) the overall tourism efficiency of eastern provinces is increasing, and the change index of technical efficiency contributes the most, followed by the change index of scale efficiency; and (3) industrial status, traffic conditions, tourism resource endowment, and the labour force are the main factors affecting the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities, while the level of economic development and information technology have no significant impact.

Suggested Citation

  • Huadi Wang & Shaogui Xu & Qiuyi Xie & Jianying Fan & Nianxing Zhou & Jun Li, 2021. "Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors," Complexity, Hindawi, vol. 2021, pages 1-12, October.
    • Handle: RePEc:hin:complx:4580917
    DOI: 10.1155/2021/4580917
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    Cited by:

    1. Songsong Zhao & Tai Huang & Jianchao Xi, 2022. "Understanding the Evolution of Regional Tourism Efficiency: Through the Lens of Evolutionary Economic Geography," Sustainability, MDPI, vol. 14(17), pages 1-16, September.

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