IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i22p9701-d1516063.html
   My bibliography  Save this article

Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China

Author

Listed:
  • Bing Liu

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Bailin He

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Jiaxu Zhou

    (Social Services Department, Jilin Zhongshan Legal Aid Work Station, Changchun 130000, China)

  • Xueyan Chen

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Haiyan Duan

    (Institute of Eco-Environmental Forensics, Shandong University, Qingdao 266237, China
    School of Law, Jilin University, Changchun 130012, China)

  • Zhiyuan Duan

    (Institute of Eco-Environmental Forensics, Shandong University, Qingdao 266237, China)

Abstract

Environmental pollution litigation cases (EPLCs) are experiencing a significant upward trend attributable to the extensive discharge of pollutants in China. However, the driving factors of EPLCs remain ambiguous. Herein, a comprehensive research framework is established by using the logarithmic mean divisia index (LMDI) method for investigating the driving factors of China’s EPLCs. The provinces of Henan, Jilin, Shandong, Zhejiang, Jiangsu, and Guangdong stand out as the regions with the highest number of EPLCs. The GDP per capita and incidence rate promote the incidence of EPLCs, while emission intensity and emission intensity per unit area inhibit the occurrence of EPLCs. Population and population density have less impact on EPLCs. These findings should serve as references for controlling the occurrence of EPLCs in different provinces in China.

Suggested Citation

  • Bing Liu & Bailin He & Jiaxu Zhou & Xueyan Chen & Haiyan Duan & Zhiyuan Duan, 2024. "Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China," Sustainability, MDPI, vol. 16(22), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9701-:d:1516063
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/22/9701/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/22/9701/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    2. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    3. Xie, Rui & Wei, Dihan & Han, Feng & Lu, Yue & Fang, Jiayu & Liu, Yu & Wang, Junfeng, 2019. "The effect of traffic density on smog pollution: Evidence from Chinese cities," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 421-427.
    4. Zhu, Zhaohui & Tan, Yafei, 2022. "Can green industrial policy promote green innovation in heavily polluting enterprises? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 59-75.
    5. Bao, Qun & Shao, Min & Yang, Dali, 2021. "Environmental regulation, local legislation and pollution control in China," Environment and Development Economics, Cambridge University Press, vol. 26(4), pages 321-339, August.
    6. Matthew A. Cole & Eric Neumayer, 2003. "Examining the Impact of Demographic Factors On Air Pollution," Labor and Demography 0312005, University Library of Munich, Germany, revised 13 May 2004.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. Yingying Li, 2022. "The Dilemma and Countermeasures of Public Interest Litigation of Marine Environmental Pollution in China," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    9. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    10. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    11. Lin, Yuancheng & Ma, Linwei & Li, Zheng & Ni, Weidou, 2023. "The carbon reduction potential by improving technical efficiency from energy sources to final services in China: An extended Kaya identity analysis," Energy, Elsevier, vol. 263(PE).
    12. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    13. Lei Xie & Lu Xu, 2022. "Environmental Public Interest Litigation in China: Findings from 570 Court Cases Brought by NGOs, Public Prosecutors and Local Government," Journal of Environmental Law, Oxford University Press, vol. 34(1), pages 53-81.
    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. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    2. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    3. Junghwan Lee & Jinsoo Kim, 2021. "A Decomposition Analysis of the Korean Manufacturing Sector: Monetary vs. Physical Outputs," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    4. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    5. Rongrong Li & Rui Jiang, 2019. "Is carbon emission decline caused by economic decline? Empirical evidence from Russia," Energy & Environment, , vol. 30(4), pages 672-684, June.
    6. Branger, Frédéric & Quirion, Philippe, 2015. "Reaping the carbon rent: Abatement and overallocation profits in the European cement industry, insights from an LMDI decomposition analysis," Energy Economics, Elsevier, vol. 47(C), pages 189-205.
    7. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Duran, Elisa & Aravena, Claudia & Aguilar, Renato, 2015. "Analysis and decomposition of energy consumption in the Chilean industry," Energy Policy, Elsevier, vol. 86(C), pages 552-561.
    9. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    10. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    11. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2016. "Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case," Energy Policy, Elsevier, vol. 89(C), pages 114-124.
    12. Mulder, Peter & de Groot, Henri L.F. & Pfeiffer, Birte, 2014. "Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005," Ecological Economics, Elsevier, vol. 100(C), pages 1-15.
    13. Kaivo-oja, J. & Luukkanen, J. & Panula-Ontto, J. & Vehmas, J. & Chen, Y. & Mikkonen, S. & Auffermann, B., 2014. "Are structural change and modernisation leading to convergence in the CO2 economy? Decomposition analysis of China, EU and USA," Energy, Elsevier, vol. 72(C), pages 115-125.
    14. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    15. Mohlin, Kristina & Camuzeaux, Jonathan R. & Muller, Adrian & Schneider, Marius & Wagner, Gernot, 2018. "Factoring in the forgotten role of renewables in CO2 emission trends using decomposition analysis," Energy Policy, Elsevier, vol. 116(C), pages 290-296.
    16. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    17. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011," Energies, MDPI, vol. 8(6), pages 1-22, June.
    18. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    19. Jialing Zou & Weidong Liu & Zhipeng Tang, 2017. "Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
    20. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.

    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:16:y:2024:i:22:p:9701-:d:1516063. 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.