IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i2p438-d1061425.html
   My bibliography  Save this article

Analysis of County-Scale Eco-Efficiency and Spatiotemporal Characteristics in China

Author

Listed:
  • Hui Zhang

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute of Green Development for the Yellow River Drainage Basin, Lanzhou University, Lanzhou 730000, China)

  • Yingqi Sun

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute of Green Development for the Yellow River Drainage Basin, Lanzhou University, Lanzhou 730000, China)

  • Zhaoying Fan

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute of Green Development for the Yellow River Drainage Basin, Lanzhou University, Lanzhou 730000, China)

  • Zhi Long

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Shilong Wan

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute of Green Development for the Yellow River Drainage Basin, Lanzhou University, Lanzhou 730000, China)

  • Zilong Zhang

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute of Green Development for the Yellow River Drainage Basin, Lanzhou University, Lanzhou 730000, China
    Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

  • Xingpeng Chen

    (Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Institute for Circular Economy in Western China, Lanzhou University, Lanzhou 730000, China)

Abstract

Eco-efficiency is a key indicator to measure the level of regional sustainable development. The county is the basic spatial unit of socio-economic activities and sustainable policy implementation in China. Hence, this paper conducts eco-efficiency analysis at the county scale in order to provide reference for the central and local governments to formulate differentiated eco-efficiency enhancement policies, further promote Chinese ecological sustainable development, and advance the construction of ecological civilization with high quality. Based on the Super-Slacks-Based Measure (SBM) model and the Malmquist index, the paper constructed an eco-efficiency measurement method and analyzed the variation characteristics, influencing factors, spatial pattern of eco-efficiency in Chinese counties from 2000 to 2020. The results showed that: (1) The eco-efficiency of the county unit was generally low in China and was roughly distributed in a pyramid. The county-level eco-efficiency had a spatial distribution pattern of being high in the west and low in the east, and high in the south and low in the north, with significant non-equilibrium. There was a positive correlation between eco-efficiency of neighboring counties in China. (2) The per-capita GDP has a significant positive correlation with eco-efficiency, while energy consumption, arable land area and eco-efficiency have a negative correlation. The redundancy rate of input indicators was high in Chinese counties. (3) During the study period, the eco-efficiency of most counties displayed a fluctuating growth trend. The growth was mainly driven by technological progress.

Suggested Citation

  • Hui Zhang & Yingqi Sun & Zhaoying Fan & Zhi Long & Shilong Wan & Zilong Zhang & Xingpeng Chen, 2023. "Analysis of County-Scale Eco-Efficiency and Spatiotemporal Characteristics in China," Land, MDPI, vol. 12(2), pages 1-21, February.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:438-:d:1061425
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/2/438/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/2/438/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuhan Ren & Yuping Bai & Yihan Liu & Jiale Wang & Fan Zhang & Zheng Wang, 2022. "Conflict or Coordination? Analysis of Spatio-Temporal Coupling Relationship between Urbanization and Eco-Efficiency: A Case Study of Urban Agglomerations in the Yellow River Basin, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    4. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    5. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    6. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    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. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    2. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Toloo, Mehdi & Ghazizadeh, Mohammad Sadegh, 2016. "Eco-efficiency considering the issue of heterogeneity among power plants," Energy, Elsevier, vol. 111(C), pages 722-735.
    3. Ruomeng Zhou & Yunsheng Zhang, 2023. "Measurement of Urban Green Total Factor Productivity and Analysis of Its Temporal and Spatial Evolution in China," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    4. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    5. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    6. Adel Hatami-Marbini & Aliasghar Arabmaldar & John Otu Asu, 2022. "Robust productivity growth and efficiency measurement with undesirable outputs: evidence from the oil industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1213-1254, December.
    7. Rafael Benítez & Vicente Coll-Serrano & Vicente J. Bolós, 2021. "deaR-Shiny: An Interactive Web App for Data Envelopment Analysis," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    8. Xiang Yan & Yongchun Huang, 2021. "Is there a nonlinear economic threshold effect of financial development on the efficiency of sci‐tech innovation? An empirical test from the Yangtze River Economic Belt," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1387-1409, September.
    9. Mei Tao & Shanshan Lv & Shiqian Feng, 2023. "Study on the Evaluation of the Development Efficiency of Smart Mine Construction and the Influencing Factors Based on the US-SBM Model," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    10. Li Yue & Dan Xue & Muhammad Umar Draz & Fayyaz Ahmad & Jiaojiao Li & Farrukh Shahzad & Shahid Ali, 2020. "The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China," IJERPH, MDPI, vol. 17(2), pages 1-20, January.
    11. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    12. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    13. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    14. Huayong Niu & Zhishuo Zhang & Manting Luo, 2022. "Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    15. Tianqun Xu & Ping Gao & Qian Yu & Debin Fang, 2017. "An Improved Eco-Efficiency Analysis Framework Based on Slacks-Based Measure Method," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    16. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.
    17. M. Portela & A. Camanho & A. Keshvari, 2013. "Assessing the evolution of school performance and value-added: trends over four years," Journal of Productivity Analysis, Springer, vol. 39(1), pages 1-14, February.
    18. Zhijiang Li & Decai Tang & Mang Han & Brandon J. Bethel, 2018. "Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    19. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
    20. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.

    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:gam:jlands:v:12:y:2023:i:2:p:438-:d:1061425. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.