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Evolutionary game analysis of enterprise carbon emission regulation based on prospect theory

  • Fuzzy systems and their mathematics
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Abstract

With the continuous development of a low-carbon economy, the issue of carbon emission regulation has attracted extensive attention. Considering the characteristics of bounded rationality and difference of risk perception in government and enterprises in the carbon emission regulation process, we construct an evolutionary game model based on prospect theory. Using this model, we analyze the evolutionary stability strategies of government and enterprises under the low, medium, and high risk of air quality deterioration. The results show that the cost-benefit ratio of government and enterprise is the threshold to distinguish the grade of air quality deterioration risk. When the risk of air quality deterioration is low, the government tends to be passive regulation and enterprises tend to traditional production. In the situation of medium risk, the strategy choice of government and enterprise is in a circular state. In the situation of high risk, the government tends to be passive supervision, while enterprises tend to choose low-carbon production. At the same time, there is an incentive paradox in the process of regulation of carbon emissions, but in the long run, it is more effective to strengthen the punishment of local governments’ passive regulation than to increase the punishment of enterprises.

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References

  • Barberis N, ** LJ, Wang B (2021) Prospect theory and stock market anomalies. J Financ 76:2639–2687

    Article  Google Scholar 

  • Chang W-Y, Wang S, Song X, Zhong F (2022) Economic effects of command-and-control abatement policies under China’s 2030 carbon emission goal. J Environ Manag 312:114925

    Article  Google Scholar 

  • Chen Y, Li B, Zhang G, Bai Q (2020) Quantity and collection decisions of the remanufacturing enterprise under both the take-back and carbon emission capacity regulations. Transp Res Part E Logist Transp Rev 141:102032

    Article  Google Scholar 

  • Chen Y, Yao Z, Zhong K (2022) Do environmental regulations of carbon emissions and air pollution foster green technology innovation: evidence from China’s prefecture-level cities. J Clean Prod 350:131537

    Article  Google Scholar 

  • Cheng X, Long R, Chen H (2020) A policy utility dislocation model based on prospect theory: a case study of promoting policies with low-carbon lifestyle. Energy Policy 137:111134

    Article  Google Scholar 

  • Chong D, Sun N (2020) Explore emission reduction strategy and evolutionary mechanism under central environmental protection inspection system for multi-agent based on evolutionary game theory. Comput Commun 156:77–90

    Article  Google Scholar 

  • Clarkson PM, Li Y, Richardson GD (2004) The market valuation of environmental capital expenditures by pulp and paper companies. Account Rev 79:329–353

    Article  Google Scholar 

  • De Angelis R (2021) Circular economy and paradox theory: A business model perspective. J Clean Prod 285:124823

    Article  Google Scholar 

  • Deng G, Chen J, Liu Q (2022) Influence mechanism and evolutionary game of environmental regulation on green port construction. Sustainability 14:2930

    Article  Google Scholar 

  • Dong H, Liu W, Liu Y, **ong Z (2022) Fixed asset changes with carbon regulation: the cases of China. J Environ Manag 306:114494

    Article  Google Scholar 

  • Edenhofer O, Seyboth K (2013) Intergovernmental panel on climate change (IPCC). In: Shogren JF (ed) Encyclopedia of Energy, Natural Resource, and Environmental Economics. Elsevier, Waltham, pp 48–56

    Chapter  Google Scholar 

  • Edwards KD (1996) Prospect theory: A literature review. Int Rev Financ Anal 5:19–38

    Article  Google Scholar 

  • Hasan MR, Roy TC, Daryanto Y, Wee H-M (2021) Optimizing inventory level and technology investment under a carbon tax, cap-and-trade and strict carbon limit regulations. Sustain Product Consum 25:604–621

    Article  Google Scholar 

  • Hu K, Shi D (2021) The impact of government-enterprise collusion on environmental pollution in China. J Environ Manag 292:112744

    Article  Google Scholar 

  • Jiang B, Wang X, Xue H et al (2020) An evolutionary game model analysis on emission control areas in China. Mar Policy 118:104010

    Article  Google Scholar 

  • Kahneman D (1979) Prospect theory: an analysis of decisions under risk. Econometrica 47:278

    Article  MathSciNet  MATH  Google Scholar 

  • Kang K, Zhao Y, Zhang J, Qiang C (2019) Evolutionary game theoretic analysis on low-carbon strategy for supply chain enterprises. J Clean Prod 230:981–994

    Article  Google Scholar 

  • Kober R, Thambar PJ (2021) Paradoxical tensions of the COVID-19 pandemic: a paradox theory perspective on the role of management control systems in hel** organizations survive crises. Account Audit Account J 35:108–119

    Article  Google Scholar 

  • Liao N, Wei G, Chen X (2022) TODIM method based on cumulative prospect theory for multiple attributes group decision making under probabilistic hesitant fuzzy setting. Int J Fuzzy Syst 24:322–339

    Article  Google Scholar 

  • Liu Z, Qian Q, Hu B et al (2022) Government regulation to promote coordinated emission reduction among enterprises in the green supply chain based on evolutionary game analysis. Resour Conserv Recycl 182:106290

    Article  Google Scholar 

  • Lu J, Sun X (2021) Carbon regulations, production capacity, and low-carbon technology level for new products with incomplete demand information. J Clean Prod 282:124551

    Article  Google Scholar 

  • Najm S (2019) The green paradox and budgetary institutions. Energy Policy 133:110846

    Article  Google Scholar 

  • Porter ME, Van der Linde C (1995) Toward a new conception of the environment-competitiveness relationship. J Econ Perspect 9:97–118

    Article  Google Scholar 

  • Shen J, Gao X, He W et al (2021) Prospect theory in an evolutionary game: construction of watershed ecological compensation system in Taihu Lake Basin. J Clean Prod 291:125929

    Article  Google Scholar 

  • Song X, Shen M, Lu Y et al (2021) How to effectively guide carbon reduction behavior of building owners under emission trading scheme? An evolutionary game-based study. Environ Impact Assess Rev 90:106624

    Article  Google Scholar 

  • Su Y, Zhao M, Wei G et al (2022) probabilistic uncertain linguistic EDAS method based on prospect theory for multiple attribute group decision-making and its application to green finance. Int J Fuzzy Syst 24(3):1318–1331

    Article  Google Scholar 

  • Tuofu H, Changhao H, Qingyun H (2022) A coordination analysis of stakeholder interests on the new subsidy policy of hydrogen fuel cell vehicles in China: from the perspective of the evolutionary game theory. Int J Hydrog Energy. https://doi.org/10.1016/j.ijhydene.2022.02.218

    Article  Google Scholar 

  • Wang W, You X, Liu K et al (2020) Implementation of a multi-agent carbon emission reduction strategy under the chinese dual governance system: an evolutionary game theoretical approach. Int J Environ Res Public Health 17:8463

    Article  Google Scholar 

  • Wang Q, Li B, Chen B et al (2021) Implication of take-back and carbon emission capacity regulations on remanufacturing in a competitive market. J Clean Prod 325:129231

    Article  Google Scholar 

  • Xu L, Di Z, Chen J (2021) Evolutionary game of inland ship** pollution control under government co-supervision. Mar Pollut Bull 171:112730

    Article  Google Scholar 

  • Yang Y, Yuan Z, Yang S (2022a) Difference in the drivers of industrial carbon emission costs determines the diverse policies in middle-income regions: A case of northwestern China. Renew Sustain Energy Rev 155:111942

    Article  Google Scholar 

  • Yang Z, Shi Q, Lv X, Shi Q (2022b) Heterogeneous low-carbon targets and energy structure optimization: does stricter carbon regulation really matter? Struct Chang Econ Dyn 60:329–343

    Article  Google Scholar 

  • Zeng Y, Cai X, Feng H (2022) Cost and emission allocation for joint replenishment systems subject to carbon constraints. Comput Ind Eng 168:108074

    Article  Google Scholar 

  • Zhang W, He L, Yuan H (2021) Enterprises’ decisions on adopting low-carbon technology by considering consumer perception disparity. Technovation. https://doi.org/10.1016/j.technovation.2021.102238

    Article  Google Scholar 

  • Zhao P, Deng Q, Zhou J et al (2021) Optimal production decisions for remanufacturing end-of-life products under quality uncertainty and a carbon cap-and-trade policy. Comput Ind Eng 162:107646

    Article  Google Scholar 

  • Zhu X, Zuo X, Li H (2021) The dual effects of heterogeneous environmental regulation on the technological innovation of Chinese steel enterprises—Based on a high-dimensional fixed effects model. Ecol Econ 188:107113

    Article  Google Scholar 

Download references

Funding

This study was funded by Shanghai philosophy and social Science planning project (Grant Number 2020BGL012).

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Correspondence to Guangkuo Gao.

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Sun, H., Gao, G. & Li, Z. Evolutionary game analysis of enterprise carbon emission regulation based on prospect theory. Soft Comput 26, 13357–13368 (2022). https://doi.org/10.1007/s00500-022-07527-5

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