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

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  • Guangming Yang

    (School of Management, Chongqing University of Technology, Chongqing 400054, China
    Rural Revitalization and Regional High-Quality Development Research Center, Chongqing University of Technology, Chongqing 400054, China)

  • Yunrui Yang

    (School of Management, Chongqing University of Technology, Chongqing 400054, China
    Rural Revitalization and Regional High-Quality Development Research Center, Chongqing University of Technology, Chongqing 400054, China)

  • Guofang Gong

    (School of Management, Chongqing University of Technology, Chongqing 400054, China
    Rural Revitalization and Regional High-Quality Development Research Center, Chongqing University of Technology, Chongqing 400054, China)

  • Qingqing Gui

    (School of Management, Chongqing University of Technology, Chongqing 400054, China
    Rural Revitalization and Regional High-Quality Development Research Center, Chongqing University of Technology, Chongqing 400054, China)

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.

Suggested Citation

  • Guangming Yang & Yunrui Yang & Guofang Gong & Qingqing Gui, 2022. "The Spatial Network Structure of Tourism Efficiency and Its Influencing Factors in China: A Social Network Analysis," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9921-:d:885526
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    References listed on IDEAS

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    1. Fuentes, Ramón, 2011. "Efficiency of travel agencies: A case study of Alicante, Spain," Tourism Management, Elsevier, vol. 32(1), pages 75-87.
    2. Benjamin Faber & Cecile Gaubert, 2019. "Tourism and Economic Development: Evidence from Mexico's Coastline," American Economic Review, American Economic Association, vol. 109(6), pages 2245-2293, June.
    3. Guangming Yang & Guofang Gong & Qingqing Gui, 2022. "Exploring the Spatial Network Structure of Agricultural Water Use Efficiency in China: A Social Network Perspective," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Zhang, Fengtai & Xiao, Yuedong & Gao, Lei & Ma, Dalai & Su, Ruiqi & Yang, Qing, 2022. "How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs," Agricultural Water Management, Elsevier, vol. 260(C).
    6. Yaobin Wang & Meizhen Wang & Kongming Li & Jinhang Zhao, 2021. "Analysis of the Relationships between Tourism Efficiency and Transport Accessibility—A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 13(15), pages 1-17, August.
    7. Liviu-George Maha & Elena Daniela Viorică & Mircea Asandului & Andreea Maha, 2018. "Hotel Efficiency Analysis from the Customer’s Point of View in Romania: A Stochastic Production Frontier Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(3), pages 661-676, February.
    8. Chu, Chih-Peng & Chou, Yu-Hsin, 2021. "Using cellular data to analyze the tourists' trajectories for tourism destination attributes: A case study in Hualien, Taiwan," Journal of Transport Geography, Elsevier, vol. 96(C).
    9. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
    10. Luis Delfim Santos & Ana Catarina Vieira, 2020. "Tourism and regional development: a spatial econometric model for Portugal at municipal level," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(3), pages 285-299, September.
    11. Kiyong Keum, 2010. "Tourism flows and trade theory: a panel data analysis with the gravity model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(3), pages 541-557, June.
    12. Lei Gao & Brett A. Bryan, 2017. "Finding pathways to national-scale land-sector sustainability," Nature, Nature, vol. 544(7649), pages 217-222, April.
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    2. Weidi Zhang & Lei Wen, 2022. "An Examination of the Variables Affecting the Growth of the Tourist Sector in Guizhou Province," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    3. Mei Yang & Hongling Zhou & Yali Li & Jinyu Zhang, 2023. "Efficiency Evaluation and Influencing Factors of Sports Industry and Tourism Industry Convergence Based on China’s Provincial Data," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    4. Guangming Yang & Siyi Cheng & Qingqing Gui & Xinlan Chen, 2022. "The Coupling and Coordination Characteristics and Influencing Factors of Green Innovation Efficiency (GIE) and Economic Development Levels in China," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    5. Lin-Hong Zheng & Nor Eeza Zainal Abidin & Mohammad Nazri Mohd Nor & Yue-Yun Xu & Xiao-Wei Feng, 2023. "Sustainable Coupling Coordination and Influencing Factors of Sports Facilities Construction and Social Economy Development in China," Sustainability, MDPI, vol. 15(3), pages 1-17, February.

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