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Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China

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  • Zhiliang Liu

    (Institute of County Economic Development & Rural Revitalization Strategy, Lanzhou University, Lanzhou 730000, China
    School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Chengpeng Lu

    (Institute of County Economic Development & Rural Revitalization Strategy, Lanzhou University, Lanzhou 730000, China
    School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Jinhuang Mao

    (Institute of County Economic Development & Rural Revitalization Strategy, Lanzhou University, Lanzhou 730000, China
    School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Dongqi Sun

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Hengji Li

    (Lanzhou Information Center, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Chenyu Lu

    (College of Geography and Environment Sciences, Northwest Normal University, Lanzhou 730000, China)

Abstract

Tourism efficiency is an effective index of measuring the development quality of the tourism industry. In this study, the tourism efficiency of 30 provinces in China during the period from 2006 to 2018 was measured with the SBM model and Malmquist index. On the basis of ESDA and GWR models, we explored the spatial pattern of China’s tourism efficiency and the spatial heterogeneity of the influencing factors in depth. The results revealed that China’s tourism efficiency has been constantly enhanced with an increasingly balanced pattern. Meanwhile, the utilization degrees of various input factors have constantly been improving. Both technological efficiency and technological progress jointly promote rapid growth of total-factor productivity. Accompanied with constant enhancement of the spatial agglomeration effect, the local spatial pattern also showed obvious differentiation. In general, low-efficiency regions were mainly concentrated in northern China, while high-efficiency regions were concentrated in southern China. The distinct spatial–temporal differentiation characteristics of tourist economic efficiency can be attributed to different influencing strengths of various factors in various regions and different action tendencies. The level of economic development, traffic conditions, the professional level of tourism, and openness degree can significantly promote tourism efficiency. Tourism resource endowment and environmental cost impose slight effects and differ in action direction, thereby inhibiting the tourism efficiency of many regions.

Suggested Citation

  • Zhiliang Liu & Chengpeng Lu & Jinhuang Mao & Dongqi Sun & Hengji Li & Chenyu Lu, 2021. "Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5825-:d:559862
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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. Nicolas Peypoch & Bernardin Solonandrasana, 2008. "Aggregate Efficiency and Productivity Analysis in the Tourism Industry," Tourism Economics, , vol. 14(1), pages 45-56, March.
    3. A. George Assaf & Larry Dwyer, 2013. "Benchmarking International Tourism Destinations," Tourism Economics, , vol. 19(6), pages 1233-1247, December.
    4. Sharon Hadad & Yossi Hadad & Miki Malul & Mosi Rosenboim, 2012. "The Economic Efficiency of the Tourism Industry: A Global Comparison," Tourism Economics, , vol. 18(5), pages 931-940, October.
    5. Goncalves, Olga, 2013. "Efficiency and productivity of French ski resorts," Tourism Management, Elsevier, vol. 36(C), pages 650-657.
    6. Carlos Pestana Barros, 2006. "Analysing the Rate of Technical Change in the Portuguese Hotel Industry," Tourism Economics, , vol. 12(3), pages 325-346, September.
    7. Valentina Bosetti & Gianni Locatelli, 2006. "A data envelopment analysis approach to the assessment of natural parks' economic efficiency and sustainability. The case of Italian national parks," Sustainable Development, John Wiley & Sons, Ltd., vol. 14(4), pages 277-286.
    8. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.
    9. Cuccia, Tiziana & Guccio, Calogero & Rizzo, Ilde, 2016. "The effects of UNESCO World Heritage List inscription on tourism destinations performance in Italian regions," Economic Modelling, Elsevier, vol. 53(C), pages 494-508.
    10. Barros, Carlos Pestana, 2008. "Airports in Argentina: Technical efficiency in the context of an economic crisis," Journal of Air Transport Management, Elsevier, vol. 14(6), pages 315-319.
    11. Carlos Barros & Fernando Alves, 2004. "Productivity in the tourism industry," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 10(3), pages 215-225, October.
    12. lo Storto, Corrado, 2018. "The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 77-85.
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    5. Lijuan Zhang & Azizan Marzuki & Zhenjie Liao, 2023. "The coordination pattern of tourism efficiency and development level in Guangdong Province under high-quality development," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
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