IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13750-d1240205.html
   My bibliography  Save this article

Evolutionary Game Analysis of Risk in Third-Party Environmental Governance

Author

Listed:
  • Yijing Zou

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100083, China)

  • Dayi He

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100083, China)

  • Rui Sun

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100083, China)

Abstract

Focusing on the moral hazard of third-party environmental service providers in monitoring and controlling the emission of pollutants by enterprises, this paper takes the third-party governance of environmental pollution under the incentive-and-constraint mechanism as its research object. It also constructs a game model involving emission-producing enterprises producing emissions, third-party environmental service providers, and local governments. Adopting this evolutionary game model, this paper analyzes the mechanism of local government’s role in effectively resolving the moral hazard between emission-producing enterprises producing emissions and third-party environmental service providers by exploring the conditions of spontaneous cooperation between emission-producing enterprises producing emissions and third-party environmental service providers. This paper provides a possible solution to the problem of emission-producing enterprises or third-party environmental service providers stealing and leaking emissions, as well as collusion between the two. The study presents two major findings. (1) There are three possible scenarios of breach of contract: unilateral breach by third-party environmental service providers, unilateral breach by emissions-producing enterprises, and collusion between the two. When a third-party environmental service provider unilaterally breaches a contract, emission-producing enterprises have regulatory responsibilities toward them. In such cases, local governments should reduce the penalties imposed on emission-producing enterprises. This measure would decrease the willingness of these enterprises to allocate a higher proportion of collusion payments to third-party environmental service providers. However, it would simultaneously provide a new avenue through which third-party environmental service providers would gain benefits, thereby increasing their expected gains from collusion. This would create a new game between the two parties, leading to the failure of collusion negotiations. (2) The efficacy of incentive-constraint mechanisms is influenced by the severity of contractual breaches, represented by the magnitude of stealing and leaking emissions. When false emissions reduction is at a high level, increasing the incentives for emission-producing enterprises and third-party environmental service providers cannot effectively prevent collusion; when the level is moderate, incentives for third-party environmental service providers can effectively prevent collusion, but incentives for emission-producing enterprises cannot; when the level is low, increasing the incentives for emission-producing enterprises and third-party environmental service providers can help prevent collusion. (3) When emission-producing enterprises engage in unilateral discharge, if a local government’s incentive for third-party environmental service providers exceeds the benefits it can obtain from regulating the discharged amount, third-party environmental service providers tacitly approve the company’s discharge behavior. However, with the strengthening of local government regulations, emission-producing enterprises tend to engage in more clandestine discharging of pollutants to obtain greater rewards. This practice infringes upon the revenue of third-party environmental service providers, as their earnings are positively correlated with the amount of pollution abated. Third-party environmental service providers no longer acquiesce to corporate emissions theft, resulting in an increase in the probability of the detection of emission-producing enterprises’ illicit discharges; in this way, the behavior of these enterprises is regulated.

Suggested Citation

  • Yijing Zou & Dayi He & Rui Sun, 2023. "Evolutionary Game Analysis of Risk in Third-Party Environmental Governance," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13750-:d:1240205
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13750/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/18/13750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qiao Peng & Yao Xiao, 2020. "Will Third-Party Treatment Effectively Solve Issues Related to Industrial Pollution in China?," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    2. Lin Wang & Feng Pan, 2023. "Incentive Mechanism Analysis of Environmental Governance Using Multitask Principal–Agent Model," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    3. Haiyang Xia & Tijun Fan & Xiangyun Chang, 2019. "Emission Reduction Technology Licensing and Diffusion Under Command-and-Control Regulation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 477-500, February.
    4. Yue Tang & Xueliang Tang & Hong Shen, 2023. "The Relationship between Subjective Status and Corporate Environmental Governance: Evidence from Private Firms in China," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    5. Rui Sun & Dayi He & Jingjing Yan & Li Tao, 2021. "Mechanism Analysis of Applying Blockchain Technology to Forestry Carbon Sink Projects Based on the Differential Game Model," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    6. de Frutos, Javier & Martín-Herrán, Guiomar, 2019. "Spatial effects and strategic behavior in a multiregional transboundary pollution dynamic game," Journal of Environmental Economics and Management, Elsevier, vol. 97(C), pages 182-207.
    7. Bin Meng & Haibo Kuang & Erxuan Niu & Jing Li & Zhenhui Li, 2020. "Research on the Transformation Path of the Green Intelligent Port: Outlining the Perspective of the Evolutionary Game “Government–Port–Third-Party Organization”," Sustainability, MDPI, vol. 12(19), pages 1-25, September.
    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. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2021. "From firm to global-level pollution control: The case of transboundary pollution," European Journal of Operational Research, Elsevier, vol. 290(1), pages 331-345.
    2. Fabbri, Giorgio & Faggian, Silvia & Freni, Giuseppe, 0. "On competition for spatially distributed resources in networks," Theoretical Economics, Econometric Society.
    3. Tao Li & Jianqiang Luo & Kaitong Liang & Chaonan Yi & Lei Ma, 2023. "Synergy of Patent and Open-Source-Driven Sustainable Climate Governance under Green AI: A Case Study of TinyML," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    4. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2022. "A dynamic theory of spatial externalities," Games and Economic Behavior, Elsevier, vol. 132(C), pages 133-165.
    5. Hongyi Liu & Tianyu He, 2023. "Sustainable Management of Land Resources: The Case of China’s Forestry Carbon Sink Mechanism," Land, MDPI, vol. 12(6), pages 1-18, June.
    6. Boucekkine, Raouf & Ruan, Weihua & Zou, Benteng, 2023. "The irreversible pollution game," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    7. Giorgio Fabbri & Silvia Faggian & Giuseppe Freni, 2022. "On competition for spatially distributed resources in networks: an extended version," Working Papers 2022:03, Department of Economics, University of Venice "Ca' Foscari".
    8. Hao Xu & Deqing Tan, 2023. "Optimal Abatement Technology Licensing in a Dynamic Transboundary Pollution Game: Fixed Fee Versus Royalty," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 905-935, March.
    9. Xiaorui Guo & Lifeng Wu & Meng Wang, 2022. "Application of Grey Lotka-Volterra Model in Water-Economy-Industry-Technology Innovation System in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    10. Fabbri, Giorgio & Faggian, Silvia & Freni, Giuseppe, 2020. "Policy effectiveness in spatial resource wars: A two-region model," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    11. Longzhen Yu & Jianhua Zhu & Zhixian Wang, 2021. "Green Taxation Promotes the Intelligent Transformation of Chinese Manufacturing Enterprises: Tax Leverage Theory," Sustainability, MDPI, vol. 13(23), pages 1-27, December.
    12. Anastasios Xepapadeas, 2022. "On the optimal management of environmental stock externalities," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(24), pages 2202679119-, June.
    13. Zhonghao Zhang & Tiantian Nie & Yingtao Wu & Jiahui Ling & Danhuang Huang, 2022. "The Temporal and Spatial Distributions and Influencing Factors of Transboundary Pollution in China," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    14. Xiwen Fu & Shuxin Wang, 2022. "How to Promote Low-Carbon Cities with Blockchain Technology? A Blockchain-Based Low-Carbon Development Model for Chinese Cities," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    15. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2022. "Managing spatial linkages and geographic heterogeneity in dynamic models with transboundary pollution," Journal of Mathematical Economics, Elsevier, vol. 98(C).
    16. William Brock & Anastasios Xepapadeas, 2020. "Spatial Environmental and Resource Economics," DEOS Working Papers 2002, Athens University of Economics and Business.
    17. Javier Frutos & Víctor Gatón & Paula M. López-Pérez & Guiomar Martín-Herrán, 2022. "Investment in Cleaner Technologies in a Transboundary Pollution Dynamic Game: A Numerical Investigation," Dynamic Games and Applications, Springer, vol. 12(3), pages 813-843, September.
    18. Torre, Davide La & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Transboundary pollution externalities: Think globally, act locally?," Journal of Mathematical Economics, Elsevier, vol. 96(C).
    19. Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    20. Raouf Boucekkine & Giorgio Fabbri & Salvatore Federico & Fausto Gozzi, 2020. "A dynamic theory of spatial externalities," Working Papers halshs-02613177, HAL.

    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:15:y:2023:i:18:p:13750-:d:1240205. 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.