IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i15p2775-d254444.html
   My bibliography  Save this article

An Evolutionary Game Model for Industrial Pollution Management under Two Punishment Mechanisms

Author

Listed:
  • Chuansheng Wang

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Fulei Shi

    (School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China)

Abstract

In recent years, with the rapid development of the economy, industrial pollution problems have become more and more serious. This paper constructs an evolutionary game model for industrial pollution between the local governments and enterprises to study the dynamic evolution path of a game system and the evolutionary stable strategy under two punishment mechanisms. The results show that, in a static punishment mechanism (SPM), the strategy between governments and enterprises is uncertain. Moreover, the evolutionary trajectory between governments and enterprises is uncertain. However, under the dynamic punishment mechanism (DPM), the evolution path between governments and enterprises tends to converge to a stable value. Thus, the DPM is more conducive than the SPM for industrial pollution control.

Suggested Citation

  • Chuansheng Wang & Fulei Shi, 2019. "An Evolutionary Game Model for Industrial Pollution Management under Two Punishment Mechanisms," IJERPH, MDPI, vol. 16(15), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2775-:d:254444
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/15/2775/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/15/2775/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frederick Ploeg & Aart Zeeuw, 1992. "International aspects of pollution control," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 2(2), pages 117-139, March.
    2. Scott M. Gilpatric & Christian A. Vossler & Michael McKee, 2011. "Regulatory enforcement with competitive endogenous audit mechanisms," RAND Journal of Economics, RAND Corporation, vol. 42(2), pages 292-312, June.
    3. Dijkstra, Bouwe R. & de Vries, Frans P., 2006. "Location choice by households and polluting firms: An evolutionary approach," European Economic Review, Elsevier, vol. 50(2), pages 425-446, February.
    4. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    5. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    6. Cason, Timothy N. & Friesen, Lana & Gangadharan, Lata, 2016. "Regulatory performance of audit tournaments and compliance observability," European Economic Review, Elsevier, vol. 85(C), pages 288-306.
    7. Milliman, Scott R. & Prince, Raymond, 1989. "Firm incentives to promote technological change in pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 247-265, November.
    8. Plourde, Charles & Yeung, David, 1989. "A model of industrial pollution in a stochastic environment," Journal of Environmental Economics and Management, Elsevier, vol. 16(2), pages 97-105, March.
    9. Oestreich, Andreas Marcel, 2017. "On optimal audit mechanisms for environmental taxes," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 62-83.
    10. Yao, Dennis A., 1988. "Strategic responses to automobile emissions control: A game-theoretic analysis," Journal of Environmental Economics and Management, Elsevier, vol. 15(4), pages 419-438, December.
    11. Andreas Oestreich, 2015. "Firms’ Emissions and Self-Reporting Under Competitive Audit Mechanisms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(4), pages 949-978, December.
    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. Wenke Wang & Xiaoqiong You & Kebei Liu & Yenchun Jim Wu & Daming You, 2020. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    2. Yingxia Xue & Fang Liu & Guangbin Wang & Jungang Shao, 2023. "Research on Strategy Evolution of Contractor and Resident in Construction Stage of Old Community Renovation Project," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    3. Ming Luo & Ruguo Fan & Yingqing Zhang & Chaoping Zhu, 2020. "Environmental Governance Cooperative Behavior among Enterprises with Reputation Effect Based on Complex Networks Evolutionary Game Model," IJERPH, MDPI, vol. 17(5), pages 1-18, February.

    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. Fulei Shi & Chuansheng Wang & Cuiyou Yao, 2022. "A New Evolutionary Game Analysis for Industrial Pollution Management Considering the Central Government’s Punishment," Dynamic Games and Applications, Springer, vol. 12(2), pages 677-688, June.
    2. Miloš Fišar & Ondřej Krčál & Jiří Špalek & Rostislav Staněk & James Tremewan, 2019. "A Competitive Audit Selection Mechanism with Incomplete Information," MUNI ECON Working Papers 2019-08, Masaryk University, revised Feb 2023.
    3. Earnhart, Dietrich & Friesen, Lana, 2021. "Use of competitive endogenous audit mechanisms by federal and state inspectors within environmental protection agencies," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    4. Oestreich, Andreas Marcel, 2017. "On optimal audit mechanisms for environmental taxes," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 62-83.
    5. Häckner, Jonas & Herzing, Mathias, 2020. "The equilibrium compliance rate among regulated firms," International Review of Law and Economics, Elsevier, vol. 63(C).
    6. Goeschl, Timo & Oestreich, Marcel & Soldà, Alice, 2021. "Competitive vs. Random Audit Mechanisms in Environmental Regulation: Emissions, Self-Reporting, and the Role of Peer Information," Working Papers 0699, University of Heidelberg, Department of Economics.
    7. Timo Goeschl & Marcel Oestreich & Alice Soldà, 2023. "Compliance And Truthfulness: Leveraging Peer Information With Competitive Audit Mechanisms," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1069, Ghent University, Faculty of Economics and Business Administration.
    8. Timo Goeschl & Marcel Oestreich & Alice Soldà, 2023. "Compliance and Truthfulness: Leveraging Peer Information with Competitive Audit Mechanisms," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(4), pages 947-979.
    9. Timothy N. Cason & Lana Friesen & Lata Gangadharan, 2021. "Complying with environmental regulations: experimental evidence," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 4, pages 69-92, Edward Elgar Publishing.
    10. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    11. Häckner, Jonas & Herzing, Mathias, 2017. "The effectiveness of environmental inspections in oligopolistic markets," Resource and Energy Economics, Elsevier, vol. 48(C), pages 83-97.
    12. Gersbach, Hans & Glazer, Amihai, 1999. "Markets and Regulatory Hold-Up Problems," Journal of Environmental Economics and Management, Elsevier, vol. 37(2), pages 151-164, March.
    13. Lei Gao & Zhen-Yu Zhao, 2020. "The Evolutionary Game of Stakeholders’ Coordination Mechanism of New Energy Power Construction PPP Project: A China Case," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
    14. Pasquale Scandizzo & Odin Knudsen, 2012. "Risk management and regulation compliance with tradable permits under dynamic uncertainty," European Journal of Law and Economics, Springer, vol. 33(1), pages 127-157, February.
    15. Runa Sarkar, 2008. "Public policy and corporate environmental behaviour: a broader view," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 15(5), pages 281-297, September.
    16. Matthew McGinty, 2010. "International Environmental Agreements as Evolutionary Games," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 251-269, February.
    17. Lee, Jaegul & Veloso, Francisco M. & Hounshell, David A., 2011. "Linking induced technological change, and environmental regulation: Evidence from patenting in the U.S. auto industry," Research Policy, Elsevier, vol. 40(9), pages 1240-1252.
    18. Frans P. de Vries, 2007. "Market Structure and Technology Diffusion Incentives under Emission Taxes and Emission Reduction Subsidies," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 163(2), pages 256-268, June.
    19. Dijkstra, Bouwe R. & de Vries, Frans P., 2006. "Location choice by households and polluting firms: An evolutionary approach," European Economic Review, Elsevier, vol. 50(2), pages 425-446, February.
    20. Vossler, Christian A. & Gilpatric, Scott M., 2018. "Endogenous audits, uncertainty, and taxpayer assistance services: Theory and experiments," Journal of Public Economics, Elsevier, vol. 165(C), pages 217-229.

    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:jijerp:v:16:y:2019:i:15:p:2775-:d:254444. 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.