IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v51y2020i2p792-808.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12376
    Download Restriction: no
    File URL: https://libkey.io/10.1111/grow.12376?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    3. Dios-Palomares, Rafaela & José-Diz, David Alcaide & Jurado, Manuel & Guijarro, Angel Prieto & Martinez-Paz, J. M. & Zúniga-González, Carlos Alberto, 2015. "Aspectos medioambientales en los análisis de eficiencia," Revista Iberoamericana de Bioeconomía y Cambio Climàtico, National Autonomous University of Nicaragua, Leon, vol. 1(1), pages 1-7, July.
    4. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    5. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    6. Tifang Ye & Xiuli Xiang & Xiangyu Ge & Keling Yang, 2022. "Research on Green Finance and Green Development Based Eco-Efficiency and Spatial Econometric Analysis," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
    7. Yifei Zhang & Sheng Li & Fang Zhang, 2020. "Does an Emissions Trading Policy Improve Environmental Efficiency? Evidence from China," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    8. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    9. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    10. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    11. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    12. Hang Xiong, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," Working Papers halshs-00672450, HAL.
    13. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    14. Andrés J. Picazo-Tadeo & Juana Castillo & Mercedes Beltrán-Esteve, 2013. "A dynamic approach to measuring ecological-economic performance with directional distance functions: greenhouse gas emissions in the European Union," Working Papers 1304, Department of Applied Economics II, Universidad de Valencia.
    15. Hang Xiong, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," CERDI Working papers halshs-00672450, HAL.
    16. Xu Wang & Liyan Han & Libo Yin, 2016. "Environmental Efficiency and Its Determinants for Manufacturing in China," Sustainability, MDPI, vol. 9(1), pages 1-18, December.
    17. Bei He & Xiaoyun Du & Junkang Li & Dan Chen, 2023. "A Effectiveness-and Efficiency-Based Improved Approach for Measuring Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 20(3), pages 1-29, January.
    18. Dominik Hartmann & Diogo Ferraz & Mayra Bezerra & Andreas Pyka & Flavio L. Pinheiro, 2021. "Comparing cars with apples? Identifying the appropriate benchmark countries for relative ecological pollution rankings and international learning," Papers 2107.14365, arXiv.org.
    19. Amer Ait Sidhoum & Carolin Canessa & Johannes Sauer, 2023. "Effects of agri‐environment schemes on farm‐level eco‐efficiency measures: Empirical evidence from EU countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 551-569, June.
    20. Halkos, George & Tzeremes, Nickolaos, 2013. "An additive two-stage DEA approach creating sustainability efficiency indexes," MPRA Paper 44231, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:growch:v:51:y:2020:i:2:p:792-808. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.