Research on the evolutionary game of carbon emission reduction involving four entities

CUI Ning; ZHOU Yu; ZHAO Xiao-liang

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China Environmental Science ›› 2023, Vol. 43 ›› Issue (12) : 6788-6802.

Environmental Impact Assessment and Management

Research on the evolutionary game of carbon emission reduction involving four entities

CUI Ning¹, ZHOU Yu², ZHAO Xiao-liang³

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Abstract

This study focused on the collaborative emission reduction governance model that involved multiple entities, wherein an evolutionary game model was constructed among the central government, local government, enterprises, and environmental NGOs. The stability of each equilibrium point was meticulously analyzed, and data simulation was conducted using Matlab software to explore the influence of varying parameters on the strategic choices of the four game participants. The findings revealed that out of the 16pure strategy equilibrium points in the game system, five were conditionally stable. The choice of strategy by the game participants was found to be dependent on the relative net benefit of that strategy, with a greater relative net benefit increasing the likelihood of the strategy being chosen by the relevant participants. It was observed that enhancing the central government's transfer payments to local governments and escalating penalties for non-implementation by local governments could stimulate their active evolution, enabling the system to transition to a stable state more swiftly. While it was noted that increasing enterprises' emission reduction subsidies could foster the growth of a low-carbon economy in the short term, it was not seen as a sustainable governance model. Excessive emission reduction subsidies were found to potentially trigger passive evolution of local governments, preventing the game system from achieving the ideal stable state. Furthermore, it was discovered that augmenting disclosure rewards for environmental NGOs could also induce enterprises to evolve proactively, facilitating the system's faster evolution to the desired stable state. In conclusion, the study proposed respective suggestions for the central government, local governments, enterprises, and environmental NGOs, thereby offering theoretical insights for the advancement of China's low-carbon economy.

Key words

enterprise carbon emission reduction / evolutionary game / four parties / low carbon economy

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CUI Ning, ZHOU Yu, ZHAO Xiao-liang. Research on the evolutionary game of carbon emission reduction involving four entities[J]. China Environmental Science. 2023, 43(12): 6788-6802

References

[1] 张华东.环境NGO在环境管理中的现状及对策[J]. 资源节约与环保, 2018,(5):74-75. Zhang H D. The current situation and countermeasures of environmental NGOs in environmental management[J]. Resources Economization & Environmental Protection, 2018,(5):74-75.
[2] 范仓海,骆诗霞.流域水环境治理中环境NGO的作用[J]. 环境卫生工程, 2016,24(3):78-81. Fan C H, Luo S X. The role of environmental NGOs in watershed water environment management[J]. Environmental Sanitation Engineering, 2016,24(3):78-81.
[3] 李国平,陈曦.中国低碳发展公众参与的五大战略[J]. 中州学刊, 2014,216(12):36-40. Li G P, Chen X. Five strategies for public participation in China's low carbon development[J]. Academic Journal of Zhongzhou, 2014, 216(12):36-40.
[4] 杨晓光,丛玉飞.低碳经济下我国草根环境NGO与政府协同关系构建[J]. 当代经济研究, 2010,183(11):52-55. Yang X G, Cong Y F. Building a collaborative relationship between grassroots environmental NGOs and the government in China under a low carbon economy[J]. Contemporary Economic Research, 2010, 183(11):52-55.
[5] Kang K, Zhao Y J, Zhang J, et al. Evolutionary game theoretic analysis on low-carbon strategy for supply chain enterprises[J]. Journal of Cleaner Production, 2019,230:981-994.
[6] Zhu G, Pan G Z, Zhang W W. Evolutionary game theoretic analysis of low carbon investment in supply chains under governmental subsidies[J]. International Journal of Environmental Research and Public Health, 2018,15(11):2465.
[7] 杨霞,何刚,吴传良,等.碳交易机制下政府与重污染企业碳减排演化博弈分析[J]. 安全与环境学报, 2023,23(11):4097-4107. Yang X, He G, Wu C L, et al. Evolutionary game analysis of carbon emission reduction between government and heavy polluting enterprises under carbon trading mechanism[J]. Journal of Safety and Environment, 2023,23(11):4097-4107.
[8] 马彦敏.政府监管下制造业供应链成员碳减排策略研究[D]. 太原:太原理工大学, 2022. Ma Y M. Research on carbon reduction strategies for manufacturing supply chain members under government regulation[D]. Taiyuan: Taiyuan University of Technology, 2022.
[9] 蒋丹,张林荣.基于多方合作博弈的我国低碳环境政策优化路径[J]. 企业经济, 2019,38(12):22-28. Jiang D, Zhang L R. Optimization path of China's low carbon environmental policy based on multi party cooperative game theory[J]. Enterprise Economy, 2019,38(12):22-28.
[10] 杨志.公众参与交互型跨界污染治理补偿的四方博弈[J/OL]. 中国管理科学:1-14[2023-03-23].https://doi.org/10.16381/j.cnki.issn1003-207x.2021.1416. Yang Z. The four party game of public participation and interactive compensation for cross border pollution control[J/OL]. Chinese Journal of Management Science:1-14[2023-03-23].https://doi.org/10.16381/j.cnki.issn1003-207x.2021.1416.
[11] 张福安,李娜,达庆利,等.基于两种补贴政策的多元需求闭环供应链低碳减排研究[J]. 中国管理科学, 2023,31(10):116-127. Zhang F A, Li N, Da Q L, et al. Research on low carbon emission reduction in multi demand closed loop supply chain based on two subsidy policies[J]. Chinese Journal of Management Science, 2023, 31(10):116-127.
[12] 曾炳昕,丁庆国,朱磊.碳市场中市场势力对减排技术采用的影响[J]. 中国管理科学, 2022,30(2):38-47. Zeng B X, Ding Q G, Zhu L. The impact of market forces on the adoption of emission reduction technologies in the carbon market[J]. Chinese Journal of Management Science, 2022,30(2):38-47.
[13] 黄新焕,鲍艳珍,陈勇智,等.奖惩组合政策下企业策略性环境治理演化博弈[J]. 中国环境科学, 2023,43(7):3808-3820. Huang X H, Bao Y Z, Chen Z Y, et al. Evolutionary game of strategic environmental governance for enterprises under reward and punishment combination policies[J]. China Environmental Science, 2023,43(7):3808-3820.
[14] Zhang S Y, Wang C X, Yu C. The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation[J]. Applied Mathematics and Computation, 2019,355:343-355.
[15] Liu P, Chen Y. Differential game model of shared manufacturing supply chain considering Low-Carbon Emission Reduction[J]. Sustainability, 2022,14(18):11379.
[16] 潘峰,刘月,王琳.四方主体参与下的环境规制演化博弈分析[J]. 运筹与管理, 2022,31(3):63-71. Pan F, Liu Y, Wang L. Game analysis of environmental regulation evolution under the participation of four parties[J]. Operations Research and Management Science, 2022,31(3):63-71.
[17] 李煜华,袁亚雯.碳中和目标下制造企业闭环供应链低碳转型机制研究——基于DEMATEL-ISM模型[J]. 科技管理研究, 2022, 42(23):226-234. Li Y H, Yuan Y W. Research on the low-carbon transformation mechanism of closed-loop supply chain for manufacturing enterprises under the goal of carbon neutrality——Based on DEMATEL-ISM model[J]. Science and Technology Management Research, 2022,42(23):226-234.
[18] 邢恩凤,史成东,闫秀霞,等.三维交易模式下企业协同低碳减排研究[J]. 中国管理科学, 2020,28(3):174-181. Xing E F, Shi C D, Yan X X, et al. Research on collaborative low carbon emission reduction among enterprises under the 3D trading model[J]. Chinese Journal of Management Science, 2020,28(3):174-181.
[19] 张星伟.低碳偏好下三级供应链协调策略研究[J]. 科技和产业, 2020,30(1):90-95. Zhang X W. Research on the coordination strategy of three level supply chain under low carbon preference[J]. Science Technology and Industry, 2020,30(1):90-95.
[20] 周泽辉.基于系统动力学的碳减排三方演化博弈研究[D]. 青岛:青岛大学, 2022. Zhou Z H. Research on tripartite evolutionary game of carbon reduction based on system dynamics[D]. Qingdao: Qingdao University, 2022.
[21] 国务院.关于构建现代环境治理体系的指导意见[EB/OL]. (2020-03-04).https://www.gov.cn/zhengce/2020-03/04/content_5486560.htm. Guiding opinions of the state council on building a modern environmental governance system[EB/OL]. (2020-03-04). https: //www.gov.cn/zhengce/2020-03/04/content_5486560.htm.
[22] Hu Y, Chi Y Y, Zhou W B, et al. The interactions between renewable portfolio standards and carbon emission trading in China: An evolutionary game theory perspective[J]. Energy, 2023,271:127047.
[23] Li Y, Yang T J, Zhang Y. Evolutionary game theory-based system dynamics modeling for community solid waste classification in China[J]. Utilities Policy, 2022,79:101451.
[24] 孙淑慧,苏强.重大疫情期医药研究报道质量监管四方演化博弈分析[J]. 管理学报, 2020,17(9):1391-1401. Sun S H, Su Q. An evolutionary game analysis of the quality supervision of medical research reports during the major epidemic period[J]. Chinese Journal of Management, 2020,17(9):1391-1401.
[25] 王伟.碳中和目标下煤炭行业低碳发展演化博弈研究[J]. 煤炭工程, 2022,54(8):186-192. Wang W. A Game study on the evolution of low carbon development in the coal industry under the goal of carbon neutrality[J]. Coal Engineering, 2022,54(8):186-192.
[26] Razzaq A, Sharif A, Ozturk I, et al. Central inspections of environmental protection and transition for low-carbon Chinese cities: Policy intervention and mechanism analysis[J]. Energy Economics, 2023,124:106859.
[27] Kou P, Han Y, Qi X. The operational mechanism and effectiveness of China's central environmental protection inspection: Evidence from air pollution[J]. Socio-Economic Planning Sciences, 2022,81:101215.
[28] Alam M S, Atif M, Chien-Chi C, et al. Does corporate R&D investment affect firm environmental performance? Evidence from G-6countries[J]. Energy Economics, 2019,78:401-411.
[29] Lim J, Kim Y. Combining carbon tax and R&D subsidy for climate change mitigation[J]. Energy Economics, 2012,34:S496-S502.
[30] 魏琦,丁亚楠.计及消费领域的碳补贴政策演化博弈[J]. 中国环境科学, 2022,42(3):1456-1465. Wei Q, Ding Y N. Evolutionary game of carbon subsidy policies considering the consumption field[J]. China Environmental Science, 2022,42(3):1456-1465.
[31] 曹鸿杰,卢洪友.中国纵向转移支付的生态环境效应[J]. 中南财经政法大学学报, 2020,(4):57-65. Cao H J, Lu H Y. The ecological and environmental effects of vertical transfer payments in China[J]. Journal of Zhongnan University of Economics and Law, 2020,(4):57-65.
[32] 傅芳丽.环境财政政策对环境污染的影响研究[D]. 杭州:浙江财经大学, 2020. Fu F L. Research on the impact of environmental finance policies on environmental pollution[D]. Hangzhou: Zhejiang University of Finance and Economics, 2020.
[33] Viveros H. Unpacking stakeholder mechanisms to influence corporate social responsibility in the mining sector[J]. Resources Policy, 2017,51:1-12.
[34] 范如国,吴婷,樊唯.考虑环保税与规制俘获的三方治理演化博弈模型及策略优化研究[J]. 软科学, 2022,36(5):122-130. Fan R G, Wu T, Fan K. Research on the evolutionary game model and strategy optimization of tripartite governance considering environmental protection tax and regulation capture[J]. Soft Science, 2022,36(5): 122-130.