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Regional Differences in Tourism Eco-Efficiency in the Beijing–Tianjin–Hebei Region: Based on Data from 13 Cities

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  • Ying Zhang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China
    Modern Service Management School, Shandong Youth University of Political Science, Jinan 250103, China)

  • Yunyan Li

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

In order to balance the economic development and ecological impact of tourism, it is essential to study tourism eco-efficiency in the context of sustainable development. This study analyzed regional tourism eco-efficiency based on the panel data of the 13 cities of the Beijing–Tianjin–Hebei region using the super-SBM DEA model. Then, we analyzed the driving factors, compared regional differences, and investigated influencing factors of tourism eco-efficiency by applying the global Malmquist–Luenberger (GML) index, Theil index, and geographically and temporally weighted regression (GTWR) models. The results demonstrate the following: (1) The overall tourism eco-efficiency in the Beijing–Tianjin–Hebei region between 2010 and 2019 was low, but it had an increasing trend. (2) The advancement of technological progress factors was mostly responsible for the increase in tourist eco-efficiency. (3) The results for tourism eco-efficiency were significantly polarizing, but the gap among the 13 cities is gradually narrowing. Regional differences are the main contributors to differences in tourism eco-efficiency. (4) Per capita GDP, the proportion of tertiary industry in GDP, the number of patents granted, and the proportion of urban population in the total population were the main factors affecting tourism eco-efficiency. This study could serve as a model for similar countries and regions seeking to enhance tourism eco-efficiency and achieve the Sustainable Development Goals.

Suggested Citation

  • Ying Zhang & Yunyan Li, 2023. "Regional Differences in Tourism Eco-Efficiency in the Beijing–Tianjin–Hebei Region: Based on Data from 13 Cities," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:2907-:d:1059272
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    References listed on IDEAS

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    1. Reilly, Jennifer & Williams, Peter & Haider, Wolfgang, 2010. "Moving towards more eco-efficient tourist transportation to a resort destination: The case of Whistler, British Columbia," Research in Transportation Economics, Elsevier, vol. 26(1), pages 66-73.
    2. 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.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
    9. 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.
    10. Lado-Sestayo, Rubén & Fernández-Castro, Ángel Santiago, 2019. "The impact of tourist destination on hotel efficiency: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 674-686.
    11. Chengcai Tang & Ziwei Wan & Pin Ng & Xiangyi Dai & Qiuxiang Sheng & Da Chen, 2019. "Temporal and Spatial Evolution of Carbon Emissions and Their Influencing Factors for Tourist Attractions at Heritage Tourist Destinations," Sustainability, MDPI, vol. 11(21), pages 1-19, October.
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