IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i6d10.1007_s10668-020-01007-2.html
   My bibliography  Save this article

Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China

Author

Listed:
  • Geng Peng

    (Jiangsu University of Technology)

  • Xiaodan Zhang

    (Tianjin University of Finance and Economics)

  • Fang Liu

    (Jiangsu University of Technology)

  • Lijuan Ruan

    (Changzhou University)

  • Kaiyou Tian

    (Changzhou University)

Abstract

The three-stage DEA method and super-SBM are combined to measure the urban environmental governance efficiency of 30 provinces in China from 2004 to 2016. Then, ArcGIS software is used to illustrate the spatial–temporal evolution of urban environmental governance efficiency, and DagumGiniratio is calculated to show the regional difference. The results indicate that the provinces characterized by high or low environmental governance efficiency are shown to cluster in space over time, and the spatial dependence of the environmental governance behavior of government is the greatest source of the regional difference of urban environmental governance efficiency. Our findings imply that the environmental governance behavior of government is spatial dependent, which highlights that the policies for improve environmental governance efficiency should be made globally.

Suggested Citation

  • Geng Peng & Xiaodan Zhang & Fang Liu & Lijuan Ruan & Kaiyou Tian, 2021. "Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8974-8990, June.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01007-2
    DOI: 10.1007/s10668-020-01007-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-020-01007-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-020-01007-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hongtao Yi & Chen Huang & Tao Chen & Xiaolin Xu & Weixing Liu, 2019. "Multilevel Environmental Governance: Vertical and Horizontal Influences in Local Policy Networks," Sustainability, MDPI, vol. 11(8), pages 1-13, April.
    2. Hikaru Ogawa & David E. Wildasin, 2009. "Think Locally, Act Locally: Spillovers, Spillbacks, and Efficient Decentralized Policymaking," American Economic Review, American Economic Association, vol. 99(4), pages 1206-1217, September.
    3. Jin Guo & Junhong Bai, 2019. "The Role of Public Participation in Environmental Governance: Empirical Evidence from China," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    4. Morgenstern, Richard D. & Pizer, William A. & Shih, Jhih-Shyang, 2002. "Jobs Versus the Environment: An Industry-Level Perspective," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 412-436, May.
    5. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    6. Jin, Hehui & Qian, Yingyi & Weingast, Barry R., 2005. "Regional decentralization and fiscal incentives: Federalism, Chinese style," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1719-1742, September.
    7. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    8. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    9. 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.
    10. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    11. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    12. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    13. 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.
    14. Dasgupta, Susmita & Laplante, Benoit & Mamingi, Nlandu & Wang, Hua, 2001. "Inspections, pollution prices, and environmental performance: evidence from China," Ecological Economics, Elsevier, vol. 36(3), pages 487-498, March.
    15. Adam R. Brandt & Michael Dale, 2011. "A General Mathematical Framework for Calculating Systems-Scale Efficiency of Energy Extraction and Conversion: Energy Return on Investment (EROI) and Other Energy Return Ratios," Energies, MDPI, vol. 4(8), pages 1-35, August.
    16. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    17. 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.
    18. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    19. Cole Matthew A & Elliott Rob J, 2007. "Do Environmental Regulations Cost Jobs? An Industry-Level Analysis of the UK," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-27, June.
    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. Tianshun Ruan & Ying Gu & Xinhao Li & Rong Qu, 2022. "Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    2. Youshuai Sun & Demi Zhu & Zhenyu Zhang & Na Yan, 2022. "Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance," IJERPH, MDPI, vol. 19(10), pages 1-23, May.
    3. Li Yang & Yung‐ho Chiu & Tzu‐Han Chang, 2023. "The impact of quality of life on industrial and agricultural production and environmental efficiency in China's provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1054-1072, March.
    4. Chen, Zhenni & Zhang, Zengkai & Feng, Tong & Liu, Diyi, 2023. "What drives the temporal dynamics and spatial differences of urban and rural household emissions in China?," Energy Economics, Elsevier, vol. 125(C).
    5. Ning Zhang & Zichen Wang & Hongkai Ru & Haiyang Li, 2021. "Study on the Spatio–Temporal Evolution of China’s Smart Water Co-Governance in G–E–P Mode," IJERPH, MDPI, vol. 18(23), pages 1-25, November.

    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. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    2. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    3. Carla Henriques & Clara Viseu, 2022. "Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    4. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    5. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    6. Youshuai Sun & Demi Zhu & Zhenyu Zhang & Na Yan, 2022. "Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance," IJERPH, MDPI, vol. 19(10), pages 1-23, May.
    7. Hang Xiong, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," Working Papers halshs-00672450, HAL.
    8. Huang, Tai-Hsin & Chiang, Dien-Lin & Lin, Chung-I, 2017. "A new approach to estimating a profit frontier using the censored stochastic frontier model," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 68-77.
    9. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    10. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    11. Hang XIONG, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," Working Papers 201208, CERDI.
    12. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    13. Feng Dong & Chang Qin & Xiaoyun Zhang & Xu Zhao & Yuling Pan & Yujin Gao & Jiao Zhu & Yangfan Li, 2021. "Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency," IJERPH, MDPI, vol. 18(24), pages 1-23, December.
    14. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.
    15. Tsutsui, Miki & Goto, Mika, 2009. "A multi-division efficiency evaluation of U.S. electric power companies using a weighted slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 201-208, September.
    16. Liu, Junming & Tone, Kaoru, 2008. "A multistage method to measure efficiency and its application to Japanese banking industry," Socio-Economic Planning Sciences, Elsevier, vol. 42(2), pages 75-91, June.
    17. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    18. Liu, Fangmei & Li, Li & Ye, Bin & Qin, Quande, 2023. "A novel stochastic semi-parametric frontier-based three-stage DEA window model to evaluate China's industrial green economic efficiency," Energy Economics, Elsevier, vol. 119(C).
    19. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    20. Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., 2021. "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier," FEEM Working Papers 316226, Fondazione Eni Enrico Mattei (FEEM).

    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:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01007-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.