IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16156-d992360.html
   My bibliography  Save this article

Spatial Structure of China’s Green Development Efficiency: A Perspective Based on Social Network Analysis

Author

Listed:
  • Xiaotong Gao

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China
    Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276826, China)

  • Naigang Cao

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China
    Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276826, China)

  • Yushuo Zhang

    (Faculty of Culture Tourism, Shanxi University of Finance and Economics, Taiyuan 030031, China)

  • Lin Zhao

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China
    Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276826, China)

Abstract

Clarifying the spatial correlation network structure of green development efficiency (GDE) is of great significance for realizing coordinated and sustainable development in China. By constructing the evaluation index system of GDE, this study used the super epsilon-based measure (EBM) model that considers undesirable output to measure the GDE of China from 2000 to 2018, based on which the characteristics of the spatial correlation network characteristics and influencing factors were analyzed using social network analysis (SNA) and a geographical detector. The results indicated that: (1) The GDE of China as a whole remained relatively stable, and there was a significant spatial spillover effect of GDE between provinces; the spatial correlation network demonstrated complex and dense characteristics, and the closeness and stability of the network gradually increased. However, the strict hierarchical structure of the network still existed. (2) The eastern coastal provinces exhibited significant spillover effects and connectivity functions, while the northeastern and central-western provinces are located at the edges of the spatial correlation network. (3) The GDE spatial correlation network is divided into a leader subgroup, bridge subgroup and net benefit subgroup, with no isolated subgroup. (4) The economic development level, urbanization and financial development have a decisive impact on the formation of the GDE spatial correlation network.

Suggested Citation

  • Xiaotong Gao & Naigang Cao & Yushuo Zhang & Lin Zhao, 2022. "Spatial Structure of China’s Green Development Efficiency: A Perspective Based on Social Network Analysis," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16156-:d:992360
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16156/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/16156/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    3. Aoyang Wang & Zhijun Tong & Walian Du & Jiquan Zhang & Xingpeng Liu & Zhiyi Yang, 2021. "Comprehensive Evaluation of Green Development in Dongliao River Basin from the Integration System of “Multi-Dimensions”," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    4. Yang Zhou & Hankun Wang & Zuqiang Wang & Xiang Dai, 2022. "The Improvement Path for Regionally Coordinated Green Development: Evidence from Social Network Analysis," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    5. Han Yue & Tao Hu, 2021. "Geographical Detector-Based Spatial Modeling of the COVID-19 Mortality Rate in the Continental United States," IJERPH, MDPI, vol. 18(13), pages 1-16, June.
    6. Xiao Lu & Yi Qu & Piling Sun & Wei Yu & Wenlong Peng, 2020. "Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation," Land, MDPI, vol. 9(12), pages 1-22, November.
    7. Hualin Xie & Zhenyi Ouyang & Yongrok Choi, 2020. "Characteristics and Influencing Factors of Green Finance Development in the Yangtze River Delta of China: Analysis Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
    8. Chuan Li & Liangrong Song, 2022. "Regional Differences and Spatial Convergence of Green Development in China," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    9. Tong, Chao & Ding, Shuai & Wang, Bin & Yang, Shanlin, 2020. "Assessing the target-availability of China’s investments for green growth using time series prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    10. Mei Gai & Xiuqi Wang & Changli Qi, 2020. "Spatiotemporal Evolution and Influencing Factors of Ecological Civilization Construction in China," Complexity, Hindawi, vol. 2020, pages 1-14, October.
    11. Ping Lu & Jianhui Liu & Yunxuan Wang & Lei Ruan, 2021. "Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1011-1039, June.
    12. Rongrong Liu & Dong Chen & Suchang Yang & Yang Chen, 2021. "Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    13. Bowen Chen & Changyan Wu & Xianjin Huang & Xuefeng Yang, 2020. "Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    14. Yongbo Yu & Zihan Yi & Jiahui Jia, 2022. "The Efficiency Evolution and Risks of Green Development in the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    15. Zhirong Li & Kaiheng Zheng & Qikang Zhong, 2022. "Comprehensive Evaluation and Spatial-Temporal Pattern of Green Development in Hunan Province, China," Sustainability, MDPI, vol. 14(11), pages 1-21, June.
    16. Zakari, Abdulrasheed & Khan, Irfan & Tan, Duojiao & Alvarado, Rafael & Dagar, Vishal, 2022. "Energy efficiency and sustainable development goals (SDGs)," Energy, Elsevier, vol. 239(PE).
    17. 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.
    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. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    2. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    3. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    4. Rongrong Xu & Yongxiang Wu & Gaoxu Wang & Xuan Zhang & Wei Wu & Zan Xu, 2019. "Evaluation of industrial water use efficiency considering pollutant discharge in China," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-22, August.
    5. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Ferreira, Diogo Cunha & Nunes, Alexandre Morais & Marques, Rui Cunha, 2018. "Doctors, nurses, and the optimal scale size in the Portuguese public hospitals," Health Policy, Elsevier, vol. 122(10), pages 1093-1100.
    7. He, Pinglin & Sun, Yulong & Niu, Hanlu & Long, Chengfeng & Li, Shufeng, 2021. "The long and short-term effects of environmental tax on energy efficiency: Perspective of OECD energy tax and vehicle traffic tax," Economic Modelling, Elsevier, vol. 97(C), pages 307-325.
    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. Ping Han & Ziyu Zhou, 2023. "The Harmonious Relationship between Energy Utilization Efficiency and Industrial Structure Development under Carbon Emission Constraints: Measurement, Quantification, and Identification," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    10. Hualin Xie & Yanwei Zhang & Yongrok Choi, 2018. "Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    11. Bing Kuang & Jinjin Liu & Xiangyu Fan, 2022. "Has China’s Low-Carbon City Construction Enhanced the Green Utilization Efficiency of Urban Land?," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    12. Usman Akbar & József Popp & Hameed Khan & Muhammad Asif Khan & Judit Oláh, 2020. "Energy Efficiency in Transportation along with the Belt and Road Countries," Energies, MDPI, vol. 13(10), pages 1-20, May.
    13. Xiaonan Fan & Sainan Ren & Yang Liu, 2023. "The Driving Factors of Green Technology Innovation Efficiency—A Study Based on the Dynamic QCA Method," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    14. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    15. Vladimír Baláž & Eduard Nežinský & Tomáš Jeck & Richard Filčák, 2020. "Energy and Emission Efficiency of the Slovak Regions," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    16. Keliang Wang & Yajing Bian & Yunhe Cheng, 2022. "Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    17. Wanping Yang & Bingyu Zhao & Jinkai Zhao & Zhengda Li, 2019. "An Empirical Study on the Impact of Foreign Strategic Investment on Banking Sustainability in China," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    18. Xuedong Liang & Qunxi Gong & Sipan Li & Siyuan Huang & Gengxuan Guo, 2023. "Regional agricultural sustainability assessment in China based on a developed model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8729-8752, August.
    19. Bogetoft, Peter, 1995. "Incentives and productivity measurements," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 67-77, April.
    20. Førsund, Finn, 2015. "Economic Perspectives on DEA," Memorandum 10/2015, Oslo University, Department of Economics.

    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:jsusta:v:14:y:2022:i:23:p:16156-:d:992360. 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.