IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v118y2023ics0140988322006223.html
   My bibliography  Save this article

Does environmental pollution liability insurance promote environmental performance? Firm-level evidence from quasi-natural experiment in China

Author

Listed:
  • Zhu, Dandan
  • Chen, Ke
  • Sun, Chuanwang
  • Lyu, Chaofeng

Abstract

Taking China's environmental pollution liability insurance (EPLI) in 2008 as a quasi-natural experiment and using extensive panel data from the Chinese Industrial Enterprise Pollution Database (1998–2014) and Chinese Industrial Enterprise Database (1998–2013), this paper identifies the implementation effects of EPLI on emission reduction by employing the method of time-varying difference-in-differences. Results demonstrate that market-based environmental regulation has significantly promoted all types of industrial firms' emission reduction, except collective enterprises. EPLI, as a market-based environmental regulation, owns more flexible mechanisms to stimulate firms to reduce emissions, including reducing the usage of coal and oil and increasing the quantity of emission treatment facilities and investment. This paper provides empirical evidence to support the usage of EPLI in improving environmental performance, which not only comprehensively evaluates China's market-based tool but also provides treasures experience for the environmental management of developing countries on a firm level.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:eneeco:v:118:y:2023:i:c:s0140988322006223
    DOI: 10.1016/j.eneco.2022.106493
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988322006223
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2022.106493?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lin, Boqiang & Du, Zhili, 2017. "Can urban rail transit curb automobile energy consumption?," Energy Policy, Elsevier, vol. 105(C), pages 120-127.
    2. Zhang, Bing & Chen, Xiaolan & Guo, Huanxiu, 2018. "Does central supervision enhance local environmental enforcement? Quasi-experimental evidence from China," Journal of Public Economics, Elsevier, vol. 164(C), pages 70-90.
    3. Merrifield, John, 2002. "A general equilibrium analysis of the insurance bonding approach to pollution threats," Ecological Economics, Elsevier, vol. 40(1), pages 103-115, January.
    4. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    5. Rory Smead & Ronald L. Sandler & Patrick Forber & John Basl, 2014. "A bargaining game analysis of international climate negotiations," Nature Climate Change, Nature, vol. 4(6), pages 442-445, June.
    6. Michael L. Polemis, 2018. "Revisiting the Environmental Kuznets Curve: a semi-parametric analysis on the role of market structure on environmental pollution," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 27-35, March.
    7. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. Jessica Coria & Gunnar Köhlin & Jintao Xu, 2019. "On the Use of Market-Based Instruments to Reduce Air Pollution in Asia," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    10. Jingbo Cui & On Kit Tam & Bei Wang & Yan Zhang, 2020. "The environmental effect of trade liberalization: Evidence from China's manufacturing firms," The World Economy, Wiley Blackwell, vol. 43(12), pages 3357-3383, December.
    11. Rory Smead & Ronald L. Sandler & Patrick Forber & John Basl, 2014. "Addendum: A bargaining game analysis of international climate negotiations," Nature Climate Change, Nature, vol. 4(9), pages 840-840, September.
    12. Allen Blackman & Zhengyan Li & Antung A. Liu, 2018. "Efficacy of Command-and-Control and Market-Based Environmental Regulation in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 381-404, October.
    13. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    14. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
    15. Zhang, Yali & Li, Wenqi & Wu, Feng, 2020. "Does energy transition improve air quality? Evidence derived from China’s Winter Clean Heating Pilot (WCHP) project," Energy, Elsevier, vol. 206(C).
    16. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    17. Johnstone, Nick & Managi, Shunsuke & Rodríguez, Miguel Cárdenas & Haščič, Ivan & Fujii, Hidemichi & Souchier, Martin, 2017. "Environmental policy design, innovation and efficiency gains in electricity generation," Energy Economics, Elsevier, vol. 63(C), pages 106-115.
    18. Al-Tuwaijri, Sulaiman A. & Christensen, Theodore E. & Hughes, K. II, 2004. "The relations among environmental disclosure, environmental performance, and economic performance: a simultaneous equations approach," Accounting, Organizations and Society, Elsevier, vol. 29(5-6), pages 447-471.
    19. Xiao, Bowen & Fan, Ying & Guo, Xiaodan, 2018. "Exploring the macroeconomic fluctuations under different environmental policies in China: A DSGE approach," Energy Economics, Elsevier, vol. 76(C), pages 439-456.
    20. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    21. Yang, Xinyu & Jiang, Ping & Pan, Yao, 2020. "Does China's carbon emission trading policy have an employment double dividend and a Porter effect?," Energy Policy, Elsevier, vol. 142(C).
    22. Wang, Qizhen & Zhu, Yingming & Wang, Yudong, 2017. "The effects of oil shocks on export duration of China," Energy, Elsevier, vol. 125(C), pages 55-61.
    23. Robert C. Feenstra & Zhiyuan Li & Miaojie Yu, 2014. "Exports and Credit Constraints under Incomplete Information: Theory and Evidence from China," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 729-744, October.
    24. Xie, Rong-hui & Yuan, Yi-jun & Huang, Jing-jing, 2017. "Different Types of Environmental Regulations and Heterogeneous Influence on “Green” Productivity: Evidence from China," Ecological Economics, Elsevier, vol. 132(C), pages 104-112.
    25. Long, Xingle & Chen, Yaqiong & Du, Jianguo & Oh, Keunyeob & Han, Insoo, 2017. "Environmental innovation and its impact on economic and environmental performance: Evidence from Korean-owned firms in China," Energy Policy, Elsevier, vol. 107(C), pages 131-137.
    26. Wang, Han & Chen, Zhoupeng & Wu, Xingyi & Nie, Xin, 2019. "Can a carbon trading system promote the transformation of a low-carbon economy under the framework of the porter hypothesis? —Empirical analysis based on the PSM-DID method," Energy Policy, Elsevier, vol. 129(C), pages 930-938.
    27. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    28. Yang, Yi & Lan, Qianzi & Liu, Peijuan & Ma, Lei, 2017. "Insurance as a market mechanism in managing regional environmental and safety risks," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 62-66.
    29. Donatella Porrini & Reimund Schwarze, 2014. "Insurance models and European climate change policies: an assessment," European Journal of Law and Economics, Springer, vol. 38(1), pages 7-28, August.
    30. Clarkson, Peter M. & Li, Yue & Richardson, Gordon D. & Vasvari, Florin P., 2008. "Revisiting the relation between environmental performance and environmental disclosure: An empirical analysis," Accounting, Organizations and Society, Elsevier, vol. 33(4-5), pages 303-327.
    31. Zhang, Cui, 2017. "Political connections and corporate environmental responsibility: Adopting or escaping?," Energy Economics, Elsevier, vol. 68(C), pages 539-547.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Hong & Hu, Xuechen & Li, Hailing, 2023. "Regional production restriction policy and firms’ green transition: Evidence from Beijing-Tianjin-Hebei region," Energy, Elsevier, vol. 282(C).
    2. Cao, June & Li, Wenwen & Hasan, Iftekhar, 2023. "The impact of lowering carbon emissions on corporate labour investment: A quasi-natural experiment," Energy Economics, Elsevier, vol. 121(C).
    3. Yucai Hu & Shaorui Du & Yukun Wang & Xinya Yang, 2023. "How Does Green Insurance Affect Green Innovation? Evidence from China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.

    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. 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).
    2. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    3. Florian Schoner & Lukas Mergele & Larissa Zierow, 2021. "Grading Student Behavior," CESifo Working Paper Series 9275, CESifo.
    4. Chabé-Ferret, Sylvain & Reynaud, Arnaud & Tène, Eva, 2021. "Water Quality, Policy Diffusion Effects and Farmers’ Behavior," TSE Working Papers 21-1229, Toulouse School of Economics (TSE).
    5. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    6. Pengju Zhang, 2023. "The fiscal and economic impacts of municipal dissolution: evidence from New York," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 948-1001, August.
    7. Albanese, Andrea & Nieto, Adrián & Tatsiramos, Konstantinos, 2022. "Job Location Decisions and the Effect of Children on the Employment Gender Gap," GLO Discussion Paper Series 1113, Global Labor Organization (GLO).
    8. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wüthrich, 2022. "Selection and Parallel Trends," CESifo Working Paper Series 9910, CESifo.
    9. Zhang, Yue-Jun & Wang, Wei, 2021. "How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?," Energy Economics, Elsevier, vol. 98(C).
    10. Jin, Zhangfeng & Zhang, Junsen, 2023. "Access to local citizenship and internal migration in a developing country: Evidence from a Hukou reform in China," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 181-215.
    11. Li, Yutao & Zhang, Jinning & Lyu, Yanwei, 2023. "Does telecommunications infrastructure promote entrepreneurship in developing countries? Evidence from a quasi-natural experiment in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 106-119.
    12. Peter Z. Schochet, 2021. "Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing," Papers 2102.06770, arXiv.org, revised Oct 2021.
    13. Hampton, Matt & McNamara, Scott, 2022. "The impact of educational rewards on the diagnosis of autism spectrum disorder," Economics & Human Biology, Elsevier, vol. 47(C).
    14. Mayberry, Anthony A., 2023. "Demilitarization and economic growth: Empirical evidence in support of a peace dividend," Journal of Comparative Economics, Elsevier, vol. 51(3), pages 960-988.
    15. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
    16. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2021. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Papers 2112.04565, arXiv.org, revised Jun 2022.
    17. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    18. Xi Lin & Ling-Yun He, 2023. "The More the Merrier? Evidence from Firm-Level Exports and Environmental Performance in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 125-172, January.
    19. Cl'ement de Chaisemartin & Xavier D'Haultfoeuille & F'elix Pasquier & Gonzalo Vazquez-Bare, 2022. "Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period," Papers 2201.06898, arXiv.org, revised Dec 2023.
    20. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.

    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:eee:eneeco:v:118:y:2023:i:c:s0140988322006223. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.