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Effects of environmental liability insurance on illegal pollutant discharge of heavy polluting enterprises: Emission reduction incentives or pollution protector?

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  • Lu, Juan
  • Li, He
  • Yang, Ran

Abstract

This paper discusses the impact of environmental liability insurance (ELI) on illegal pollution discharge (ILD). ILD was measured by the diurnal pollution coefficient of variation at the monitoring station nearest to the heavily polluting enterprise. Results show that: (1) Compared with firms that do not participate in ELI, ELI can inhibit ILD by 0.24 %. (2) Impact paths mainly include pollution prevention, production, emission and supervision effects. On the one hand, ELI can aggravate ILD by weakening environmental responsibility and increasing management costs, on the other hand, ELI can also curb ILD by increasing environmental protection investment and government punishment. (3) ELI is more able to suppress ILD of state-owned enterprises and large-scale firms, while ELD aggravates ILD of labor-intensive firms. (4) Peer effect of ELI in the same region is more obvious. This paper aims to provide insurance implications for restraining ILD.

Suggested Citation

  • Lu, Juan & Li, He & Yang, Ran, 2024. "Effects of environmental liability insurance on illegal pollutant discharge of heavy polluting enterprises: Emission reduction incentives or pollution protector?," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:soceps:v:92:y:2024:i:c:s0038012124000296
    DOI: 10.1016/j.seps.2024.101830
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    References listed on IDEAS

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    1. Sen Zhang & Guangyuan Qin & Ling Wang & Baodong Cheng & Yuan Tian & Daqing Gong, 2021. "Evolutionary Game Research between the Government Environmental Regulation Intensities and the Pollution Emissions of Papermaking Enterprises," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, September.
    2. Shimshack, Jay P. & Ward, Michael B., 2022. "Costly sanctions and the treatment of frequent violators in regulatory settings," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    3. Li, He & Lu, Juan & Guo, Feiyu, 2022. "High speed rail and corporate social responsibility performance: Analysis of intra-regional location and inter-regional spillover," Transport Policy, Elsevier, vol. 128(C), pages 65-75.
    4. Shiyi Chen & Xiaoxiao Ding & Pingyi Lou & Hong Song, 2022. "New evidence of moral hazard: Environmental liability insurance and firms' environmental performance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 581-613, September.
    5. Zhu, Dandan & Chen, Ke & Sun, Chuanwang & Lyu, Chaofeng, 2023. "Does environmental pollution liability insurance promote environmental performance? Firm-level evidence from quasi-natural experiment in China," Energy Economics, Elsevier, vol. 118(C).
    6. Ben‐jiang Ma & Jing‐yu Ye & Geng Liu & Yuan‐ji Huang, 2020. "Adverse selection, limited compensation, and the design of environmental liability insurance contract in the case of enterprise bankruptcy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1327-1337, October.
    7. Shi, Beibei & Jiang, Lisha & Bao, Rui & Zhang, Ziqing & Kang, YuanQi, 2023. "The impact of insurance on pollution emissions: Evidence from China's environmental pollution liability insurance," Economic Modelling, Elsevier, vol. 121(C).
    8. Irena Misheva, 2017. "Expert Assessment Of The Environmental Risk Of Technogenic Nature – An Element Of The Environmental Pollution Liability Insurance Of The Industrial Enterprises," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 3 Year 20, pages 83-108.
    9. Chuansheng Wang & Fulei Shi & Cuiyou Yao & Basil K. Papadopoulos, 2020. "A Differential Game of Industrial Pollution Management considering Public Participation," Journal of Mathematics, Hindawi, vol. 2020, pages 1-8, December.
    10. Runze Yang & Ruigang Zhang, 2022. "Environmental Pollution Liability Insurance and Corporate Performance: Evidence from China in the Perspective of Green Development," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    11. Li, Xiaolong & Ozturk, Ilhan & Ullah, Sana & Andlib, Zubaria & Hafeez, Muhammad, 2022. "Can top-pollutant economies shift some burden through insurance sector development for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 326-336.
    12. Li, He & Lu, Juan, 2021. "Can stable environmental protection officials’ tenure reduce illegal emissions?," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    13. Lyu, Chaofeng & Xie, Zhe & Li, Zhi, 2022. "Market supervision, innovation offsets and energy efficiency: Evidence from environmental pollution liability insurance in China," Energy Policy, Elsevier, vol. 171(C).
    14. Wang, Lianghu & Wang, Zhao & Ma, Yatian, 2022. "Does environmental regulation promote the high-quality development of manufacturing? A quasi-natural experiment based on China's carbon emission trading pilot scheme," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    15. Li, He & Lu, Juan, 2023. "Can low-carbon mergers and acquisitions reduce carbon emissions? Evidence from China's energy companies," Energy, Elsevier, vol. 283(C).
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