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Estimation of eco‐efficiency and identification of its influencing factors in China's Yangtze River Delta urban agglomerations

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  • Xinlin Zhang

Abstract

Eco‐efficiency is an important indicator which serves as a helpful instrument for the studies of sustainable development. This paper estimated the eco‐efficiency of 26 cities in China's Yangtze River Delta urban agglomerations. Based on different matrixes, Moran's I was applied to analyze the spatial correlation. The spatial Durbin model was applied to analyze the direct and indirect effect of influencing factors. Some conclusions were drawn. (a) The average eco‐efficiency showed an increasing trend. The regional difference of eco‐efficiency decreased and then increased. Shanghai's eco‐efficiency had been the highest. (b) The eco‐efficiency showed positive spatial autocorrelation and it also exhibited significant characteristic of local spatial autocorrelation. (c) Economic development, fixed assets investment, and technological level of one city had a significant positive impact on the eco‐efficiency of the city itself. Industrial structure, fiscal decentralization, and foreign direct investment of a city had a significant negative impact on the eco‐efficiency of the city itself. Changes in the economic development and technological levels in a city had positive impacts on the eco‐efficiency of its neighboring cities. Foreign direct investment had a negative spatial spillover effect. (d) This paper suggested that it is necessary to pay attention to the interaction of influencing factors among cities.

Suggested Citation

  • Xinlin Zhang, 2020. "Estimation of eco‐efficiency and identification of its influencing factors in China's Yangtze River Delta urban agglomerations," Growth and Change, Wiley Blackwell, vol. 51(2), pages 792-808, June.
    • Handle: RePEc:bla:growch:v:51:y:2020:i:2:p:792-808
    DOI: 10.1111/grow.12376
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    References listed on IDEAS

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    1. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    2. 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.
    3. Elena Ketteni & Constantina Kottaridi & Theofanis Mamuneas, 2015. "Information and communication technology and foreign direct investment: interactions and contributions to economic growth," Empirical Economics, Springer, vol. 48(4), pages 1525-1539, June.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    5. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    6. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    7. Jolly Puri & Shiv Prasad Yadav & Harish Garg, 2017. "A new multi-component DEA approach using common set of weights methodology and imprecise data: an application to public sector banks in India with undesirable and shared resources," Annals of Operations Research, Springer, vol. 259(1), pages 351-388, December.
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    Cited by:

    1. Liqi Hu & Aijun Li & Yunming Kuang & Tuzhi Lin, 2025. "Advancing urban sustainability assessment: a novel DEA-based framework for multidimensional analysis in Chinese cities," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-17, December.
    2. Munir Ahmad & Gul Jabeen, 2024. "Relating economic openness and export diversification to eco‐efficiency: Is green innovation critical?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3203-3225, July.

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