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Evaluation and Dynamic Evolution of Eco-Efficiency of Resource-Based Cities—A Case Study of Typical Resource-Based Cities in China

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  • Xingcheng Ge

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Jun Xu

    (Business School, Jiangsu Normal University, Xuzhou 221116, China)

  • Yong Xie

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Xin Guo

    (Business School, Jiangsu Normal University, Xuzhou 221116, China)

  • Deyan Yang

    (Business School, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

Evaluation and dynamic evolution of eco-efficiency of resource-based cities is of great significance for ecological restoration, industrial transformation and sustainable development of resource-based cities. Based on the data of 40 resource-based cities from 2012 to 2017, we first study eco-efficiency of resource-based cities from both static and dynamic aspects by super-efficiency DEA and the Malmquist index. Additionally, then, we analyze its dynamic evolution trend by Kernel density estimation. The main results are as follows: First, the eco-efficiency shows a steady growth trend; growing cities are the highest, followed by regenerative cities and mature cities, declining cities are the lowest. Second, technological progress has the greatest contribution to growth of eco-efficiency, and scale efficiency restricts its growth. Third, efficiency distribution of resource-based cities with different life cycles show different characteristics of evolution, and the regional gap is narrowing gradually. Finally, management implications are put forward based on the empirical conclusions.

Suggested Citation

  • Xingcheng Ge & Jun Xu & Yong Xie & Xin Guo & Deyan Yang, 2021. "Evaluation and Dynamic Evolution of Eco-Efficiency of Resource-Based Cities—A Case Study of Typical Resource-Based Cities in China," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6802-:d:575930
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    1. 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.
    2. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    3. Xavier Sala-i-Martin, 2006. "The World Distribution of Income: Falling Poverty and … Convergence, Period," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 351-397.
    4. Dong Wang & Xiang Ji & Cheng Li & Yaxi Gong, 2021. "Spatiotemporal Variations of Landscape Ecological Risks in a Resource-Based City under Transformation," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    5. Mariam Camarero & Juana Castillo & Andrés Picazo-Tadeo & Cecilio Tamarit, 2013. "Eco-Efficiency and Convergence in OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 87-106, May.
    6. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    7. Lee, Taehwee & Yeo, Gi-Tae & Thai, Vinh V., 2014. "Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach," Transport Policy, Elsevier, vol. 33(C), pages 82-88.
    8. María Pérez Urdiales & Alfons Oude Lansink & Alan Wall, 2016. "Eco-efficiency Among Dairy Farmers: The Importance of Socio-economic Characteristics and Farmer Attitudes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 559-574, August.
    9. Menglin Xing & Fuzhou Luo, 2018. "Comparative Study on the Optimization Path of Industrial Value Chain in China’s Resource-Based Cities," Sustainability, MDPI, vol. 10(5), pages 1-20, April.
    10. Quah, D., 1990. "Galton'S Fallacy And The Tests Of The Convergence Hypothesis," Working papers 552, Massachusetts Institute of Technology (MIT), Department of Economics.
    11. Qing Yin & Yadong Wang & Kaidi Wan & Delu Wang, 2020. "Evaluation of Green Transformation Efficiency in Chinese Mineral Resource-Based Cities Based on a Three-Stage DEA Method," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    12. Zhao, Yabo & Wang, Shaojian & Ge, Yuejing & Liu, Qianqian & Liu, Xiaofeng, 2017. "The spatial differentiation of the coupling relationship between urbanization and the eco-environment in countries globally: A comprehensive assessment," Ecological Modelling, Elsevier, vol. 360(C), pages 313-327.
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    3. Yunhui Zhao & Xinyue Wu & Jian Zhang, 2022. "Analysis of the Paths Affecting Corporate Green Innovation in Resource-Based Cities: A Fuzzy-Set QCA Approach," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    4. Yiming Hou & Guanwen Yin & Yanbin Chen, 2022. "Environmental Regulation, Financial Pressure and Industrial Ecological Efficiency of Resource-Based Cities in China: Spatiotemporal Characteristics and Impact Mechanism," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    5. Svetlana Ratner & Andrey Lychev & Aleksei Rozhnov & Igor Lobanov, 2021. "Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 9(18), pages 1-21, September.

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