IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0290472.html
   My bibliography  Save this article

Measurement, dynamic evolution and influencing factors of green development efficiency in western China: Based on ecological-economic-social system

Author

Listed:
  • Kun Liang
  • Zhongfeng Li
  • Li Luo

Abstract

Based on the ecological-economic-social system, green development efficiency is divided into green ecological efficiency, green economic efficiency and green social efficiency. Their corresponding indicator systems are constructed, and the Super-SBM model, Super-SBM-Undesirable model and kernel density estimation are applied to measure and analyze green development efficiency and its dynamic evolution in western China from 2007 to 2019. Tobit model is constructed and used to empirically analyze the influencing factors of the green development efficiency in western China. The study shows that: (1) green ecological efficiency and green economic efficiency in western China are generally at a low level, and mainly dragged by northwest China, while green social efficiency in western China is generally at a high level, and mainly dragged by southwest China; (2) green ecological efficiency, green economic efficiency and green social efficiency in western China all show a slight trend of first decreasing and then increasing; (3) all three sub-efficiencies of green development in western China have a decreasing trend of absolute difference, right trailing and polarization; (4) the lower green ecological efficiency in western China is due to the negative impacts from the level of government intervention, the level of economic development, and foreign direct investment. The lower green economic efficiency is due to the positive impacts from population density, the level of government intervention, the level of financial development, and foreign direct investment. The higher green social efficiency is due to the positive impacts from population density, the level of financial development, the level of economic development, and the green technological innovation. The study is based on countermeasure recommendations focusing on improving green social efficiency in southwest China, as well as green ecological efficiency and green economic efficiency in northwest China, which are of reference value to promote green development more comprehensively in western China.

Suggested Citation

  • Kun Liang & Zhongfeng Li & Li Luo, 2023. "Measurement, dynamic evolution and influencing factors of green development efficiency in western China: Based on ecological-economic-social system," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-27, December.
    • Handle: RePEc:plo:pone00:0290472
    DOI: 10.1371/journal.pone.0290472
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0290472
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0290472&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0290472?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, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    2. Topi, Corrado & Esposto, Edoardo & Marini Govigli, Valentino, 2016. "The economics of green transition strategies for cities: Can low carbon, energy efficient development approaches be adapted to demand side urban water efficiency?," Environmental Science & Policy, Elsevier, vol. 58(C), pages 74-82.
    3. Yu, Shiwei & Zheng, Yali & Hu, Xing & Shu, Kesheng, 2022. "Spatial impacts of biomass resource endowment on provincial green development efficiency," Renewable Energy, Elsevier, vol. 189(C), pages 651-662.
    4. Zhang, Jianhua & Liu, Yushan & Zhang, Weihua & Ma, Xinyuan, 2023. "Role of green technologies in enhancing the efficiency of natural resources," Resources Policy, Elsevier, vol. 83(C).
    5. 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).
    6. Jorge Gutierrez‐Goiria & Leire San‐Jose & Jose Luis Retolaza, 2017. "Social Efficiency in Microfinance Institutions: Identifying How to Improve It," Journal of International Development, John Wiley & Sons, Ltd., vol. 29(2), pages 259-280, March.
    7. Kun Liang & Li Luo, 2023. "Measurement of China’s green development level and its spatial differentiation in the context of carbon neutrality," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-22, April.
    8. Masui, Makoto, 2011. "Jobs with different wage determination mechanisms, social efficiency and unemployment," Journal of the Japanese and International Economies, Elsevier, vol. 25(1), pages 56-75, March.
    9. Wang, Rong & Zhao, Xing & Zhang, Ling, 2022. "Research on the impact of green finance and abundance of natural resources on China's regional eco-efficiency," Resources Policy, Elsevier, vol. 76(C).
    10. Gong, Wenchao, 2023. "A study on the effects of natural resource abundance and foreign direct investment on regional eco-efficiency in China under the target of COP26," Resources Policy, Elsevier, vol. 82(C).
    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. Rui Zhang & Yong Ma & Jie Ren, 2022. "Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    2. Juan Tan & Jinyu Wei, 2024. "Balancing Growth and Sustainability: a Regional Analysis of Industrial Carbon Efficiency in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13946-13978, September.
    3. Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    4. Congyu Zhao & Kangyin Dong & Farhad Taghizadeh-Hesary, 2023. "Can smart transportation enhance green development efficiency?," Economic Change and Restructuring, Springer, vol. 56(2), pages 825-857, April.
    5. Ying Zhang & Yingli Huang, 2023. "Killing Two Birds with One Stone or Missing One of Them? The Synergistic Governance Effect of China’s Carbon Emissions Trading Scheme on Pollution Control and Carbon Emission Reduction," Sustainability, MDPI, vol. 15(13), pages 1-25, June.
    6. Peng, Yue & Wang, Wei & Zhen, Shangsong & Liu, Yunqiang, 2024. "Does digitalization help green consumption? Empirical test based on the perspective of supply and demand of green products," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    7. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    8. Pan, Yue & Chai, Jian & Tian, Lingyue & Zhang, Xiaokong & Wang, Jiaoyan, 2024. "Regional inequality in China's electricity trade," Energy, Elsevier, vol. 313(C).
    9. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    10. Shang, Hua & Jiang, Li & Di, Yuhang, 2024. "Spatial connection strength and endogenous and exogenous interactive driving factors of carbon efficiency in China's metropolitan areas with higher energy consumption," Energy, Elsevier, vol. 311(C).
    11. Shang, Hua & Jiang, Li & Kumar Mangla, Sachin & Pan, Xiongfeng & Song, Malin, 2024. "Examining the role of national governance capacity in building the global low-carbon agricultural supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    12. Niels Hermes & Marek Hudon, 2018. "Determinants Of The Performance Of Microfinance Institutions: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1483-1513, December.
    13. Rendao Ye & Yue Qi & Wenyan Zhu, 2023. "Impact of Agricultural Industrial Agglomeration on Agricultural Environmental Efficiency in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    14. Enci Wang & Jianyun Nie & Hong Zhan, 2022. "The Impact of Carbon Emissions Trading on the Profitability and Debt Burden of Listed Companies," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    15. Zhang, Yingnan & Wu, Guanqi & Zhang, Bin, 2025. "Costs and CO2 emissions of technological transformation in China's power industry: The impact of market regulation and assistive technologies," Structural Change and Economic Dynamics, Elsevier, vol. 73(C), pages 211-222.
    16. Wu, Qingyang & Wang, Yanying, 2022. "How does carbon emission price stimulate enterprises' total factor productivity? Insights from China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 109(C).
    17. Hu, Jun & Wu, Huiying & Ying, Sammy Xiaoyan, 2022. "Environmental regulation, market forces, and corporate environmental responsibility: Evidence from the implementation of cleaner production standards in China," Journal of Business Research, Elsevier, vol. 150(C), pages 606-622.
    18. Can Zhang & Tengfei Liu & Jixia Li & Mengzhi Xu & Xu Li & Huachun Wang, 2023. "Economic Growth Target, Government Expenditure Behavior, and Cities’ Ecological Efficiency—Evidence from 284 Cities in China," Land, MDPI, vol. 12(1), pages 1-30, January.
    19. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).
    20. Huang, Jiacheng & Ma, Li, 2024. "Substantive green innovation or symbolic green innovation: The impact of fintech on corporate green innovation," Finance Research Letters, Elsevier, vol. 63(C).

    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:plo:pone00:0290472. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.