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Spatiotemporal Evolution of Tourism Eco-Efficiency in Major Tourist Cities in China

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  • Chaogao An

    (Key Laboratory of the Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830046, China
    School of Tourism, Xinjiang University, Urumqi 830046, China)

  • Polat Muhtar

    (Key Laboratory of the Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830046, China
    School of Tourism, Xinjiang University, Urumqi 830046, China)

  • Zhenquan Xiao

    (Key Laboratory of the Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830046, China
    School of Tourism, Xinjiang University, Urumqi 830046, China)

Abstract

Tourism development consumes ecological resources to varying extents while bringing economic benefits; tourism eco-efficiency (TEE) assessment has thus become an area of major focus in destination sustainability research. This paper intends to examine the spatiotemporal characteristics and driving factors of eco-efficiency changes in 36 tourist cities on the Chinese mainland from 2010 to 2019, using a super-slacks-based measure (SBM) model, the data envelopment analysis (DEA)–Malmquist index, spatial correlation, and regression analysis. In contrast to the previous work, this work explores TEE among major tourist cities in China by considering the undesirable outputs of carbon emissions and sewage. The results show that (1) the TEE of most cities during the study period was low but increasing; there were significant spatial differences among different cities, and the eco-efficiency of the same city fluctuated over time. (2) The TEE was globally uncorrelated, but low-eco-efficiency areas were adjacent to each other and formed agglomerates, enhancing the negative spillover effect. (3) Despite fluctuations, the Malmquist indices exhibited positive trends, which resulted from the technical progress index rather than the technical efficiency index. (4) Socioeconomic development significantly promoted TEE. This research reveals the evolutionary law of TEE on the urban scale and explores the impact of social and economic development on TEE, which can provide a reference for policymaking and enrich research on destination sustainability.

Suggested Citation

  • Chaogao An & Polat Muhtar & Zhenquan Xiao, 2022. "Spatiotemporal Evolution of Tourism Eco-Efficiency in Major Tourist Cities in China," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13158-:d:941535
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    References listed on IDEAS

    as
    1. Qiao Chen & Yan Mao & Alastair M. Morrison, 2021. "Impacts of Environmental Regulations on Tourism Carbon Emissions," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Capacci, Sara & Scorcu, Antonello E. & Vici, Laura, 2015. "Seaside tourism and eco-labels: The economic impact of Blue Flags," Tourism Management, Elsevier, vol. 47(C), pages 88-96.
    4. Gössling, Stefan & Peeters, Paul & Ceron, Jean-Paul & Dubois, Ghislain & Patterson, Trista & Richardson, Robert B., 2005. "The eco-efficiency of tourism," Ecological Economics, Elsevier, vol. 54(4), pages 417-434, September.
    5. 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.
    6. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    7. 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.
    8. Rui Wang & Bing Xia & Suocheng Dong & Yu Li & Zehong Li & Duoxun Ba & Wenbiao Zhang, 2020. "Research on the Spatial Differentiation and Driving Forces of Eco-Efficiency of Regional Tourism in China," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    9. Weizhong Zhou & Wenhua Yu & Ahmed Farouk, 2021. "Regional Variation in the Carbon Dioxide Emission Efficiency of Construction Industry in China: Based on the Three-Stage DEA Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, August.
    10. Becken, Susanne & Frampton, Chris & Simmons, David, 2001. "Energy consumption patterns in the accommodation sector--the New Zealand case," Ecological Economics, Elsevier, vol. 39(3), pages 371-386, December.
    11. Walz, A. & Calonder, G.-P. & Hagedorn, F. & Lardelli, C. & Lundstrom, C. & Stockli, V., 2008. "Regional CO2 budget, countermeasures and reduction aims for the Alpine tourist region of Davos, Switzerland," Energy Policy, Elsevier, vol. 36(2), pages 811-820, February.
    12. Yiyang Sun & Guolin Hou & Zhenfang Huang & Yi Zhong, 2020. "Spatial-Temporal Differences and Influencing Factors of Tourism Eco-Efficiency in China’s Three Major Urban Agglomerations Based on the Super-EBM Model," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    13. Bing Xia & Suocheng Dong & Zehong Li & Minyan Zhao & Dongqi Sun & Wenbiao Zhang & Yu Li, 2022. "Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach," IJERPH, MDPI, vol. 19(11), pages 1-26, June.
    14. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    15. Yue Pan & Gangmin Weng & Conghui Li & Jianpu Li, 2021. "Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    16. Yiyang Sun & Guolin Hou, 2021. "Analysis on the Spatial-Temporal Evolution Characteristics and Spatial Network Structure of Tourism Eco-Efficiency in the Yangtze River Delta Urban Agglomeration," IJERPH, MDPI, vol. 18(5), pages 1-29, March.
    17. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    18. Dickinson, Janet E. & Robbins, Derek & Lumsdon, Les, 2010. "Holiday travel discourses and climate change," Journal of Transport Geography, Elsevier, vol. 18(3), pages 482-489.
    19. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    20. Zaman, Khalid & Shahbaz, Muhammad & Loganathan, Nanthakumar & Raza, Syed Ali, 2016. "Tourism development, energy consumption and Environmental Kuznets Curve: Trivariate analysis in the panel of developed and developing countries," Tourism Management, Elsevier, vol. 54(C), pages 275-283.
    21. Zhang, Jiekuan & Zhang, Yan, 2018. "Carbon tax, tourism CO2 emissions and economic welfare," Annals of Tourism Research, Elsevier, vol. 69(C), pages 18-30.
    22. Song, Malin & Li, Hui, 2019. "Estimating the efficiency of a sustainable Chinese tourism industry using bootstrap technology rectification," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 45-54.
    23. 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.
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