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The Impact of Human Capital and Tourism Industry Agglomeration on China’s Tourism Eco-Efficiency: An Analysis Based on the Undesirable Super-SBM-ML Model

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  • Qiao Wang

    (College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Research Center for Ecological Civilization, Fujian Provincial Social Science Research Base, Fuzhou 350002, China)

  • Meixian Wei

    (College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Nan Wang

    (Research Center for Ecological Civilization, Fujian Provincial Social Science Research Base, Fuzhou 350002, China
    College of Rural Revitalization, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Qiuhua Chen

    (College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Research Center for Ecological Civilization, Fujian Provincial Social Science Research Base, Fuzhou 350002, China)

Abstract

Tourism eco-efficiency has played a significantly essential role in the sustainable development of tourism destinations and tourism industries, providing ideal inputs and outputs amidst the deepening environmental crisis. This study evaluates the development level of tourism eco-efficiency using the Super-SBM model with undesirable outputs, employing the Malmquist-Luenberger (ML) index to analyse the internal optimisation forces of tourism eco-efficiency. Furthermore, human capital is assessed through both horizontal and vertical education levels, followed by a panel Tobit econometric analysis to explore the external impact mechanisms on tourism eco-efficiency. The results show that (1) Technological advancement is the core intrinsic driver for optimising tourism eco-efficiency. (2) In the analysis of influencing mechanisms, Human capital significantly contributes to enhancing tourism eco-efficiency, a conclusion upheld even after conducting robustness tests. (3) Analysis of mediating mechanisms indicates that tourism industry agglomeration is a critical pathway through which human capital enhances tourism eco-efficiency. This correlation has been proven reliable by regional regression analysis. (4) Results of the threshold model test suggest a law of “increasing marginal effect” concerning the positive impact of human capital on tourism eco-efficiency within the regulation of tourism industry agglomeration. Consequently, regions should actively promote the roles of human capital and tourism industry agglomeration in advancing tourism eco-efficiency, improving resource utilization efficiency, and tourism industry specialization to foster sustainable tourism development.

Suggested Citation

  • Qiao Wang & Meixian Wei & Nan Wang & Qiuhua Chen, 2024. "The Impact of Human Capital and Tourism Industry Agglomeration on China’s Tourism Eco-Efficiency: An Analysis Based on the Undesirable Super-SBM-ML Model," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6918-:d:1454809
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    References listed on IDEAS

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    1. Manfred Lenzen & Ya-Yen Sun & Futu Faturay & Yuan-Peng Ting & Arne Geschke & Arunima Malik, 2018. "The carbon footprint of global tourism," Nature Climate Change, Nature, vol. 8(6), pages 522-528, June.
    2. Wei Zhang & Ying Zhan & Ruiyang Yin & Xunbo Yuan, 2022. "The Tourism Eco-Efficiency Measurement and Its Influencing Factors in the Yellow River Basin," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    3. Nan Hao & Mingxing Ji, 2023. "Development of Platform Economy and Urban–Rural Income Gap: Theoretical Deductions and Empirical Analyses," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
    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. Gossling, Stefan & Hansson, Carina Borgstrom & Horstmeier, Oliver & Saggel, Stefan, 2002. "Ecological footprint analysis as a tool to assess tourism sustainability," Ecological Economics, Elsevier, vol. 43(2-3), pages 199-211, December.
    6. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    7. Peeters, Paul & Dubois, Ghislain, 2010. "Tourism travel under climate change mitigation constraints," Journal of Transport Geography, Elsevier, vol. 18(3), pages 447-457.
    8. Chankrajang, Thanyaporn & Muttarak, Raya, 2017. "Green Returns to Education: Does Schooling Contribute to Pro-Environmental Behaviours? Evidence from Thailand," Ecological Economics, Elsevier, vol. 131(C), pages 434-448.
    9. Rui Cao & Yanhua Mo & Jiangming Ma, 2023. "Carbon Footprint Analysis of Tourism Life Cycle: The Case of Guilin from 2011 to 2022," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    10. Florence Appiah-Twum & Xingle Long, 2023. "Human Capital, Trade Competitiveness and Environmental Efficiency Convergence Across Asia Pacific Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 109-132, May.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    12. Manfred Lenzen & Ya-Yen Sun & Futu Faturay & Yuan-Peng Ting & Arne Geschke & Arunima Malik, 2018. "Author Correction: The carbon footprint of global tourism," Nature Climate Change, Nature, vol. 8(6), pages 544-544, June.
    13. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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