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The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation

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  • Zhang, Suyong
  • Wang, Chuanxu
  • Yu, Chao

Abstract

In the context of cap-and-trade regulation, this paper develops the models of evolutionary game between governments and manufacturers, and analyzes the impacts of government policy on the decisions of manufacturers and the dynamic tendency of cap-and-trade market. It investigates the impacts of government policies on carbon trading market under two scenarios: the static carbon trading price and the dynamic carbon trading price. Under dynamic carbon trading price, the equilibrium strategy of the evolutionary game can be obtained. Then a numerical example is examined with system dynamics simulation. It is shown that, when governments implement the static carbon trading price, the evolutionary game cannot reach the stability. Under the dynamic carbon trading price, the evolutionary game has the evolutionary stable strategy. Dynamic carbon trading pricing policy is effective in accelerating the carbon reduction. Moreover, the probability of manufacturers introducing green technology is negatively correlated with governmental intervention costs and positively correlated with governmental penalty for manufacturers’ speculations.

Suggested Citation

  • Zhang, Suyong & Wang, Chuanxu & Yu, Chao, 2019. "The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 343-355.
    • Handle: RePEc:eee:apmaco:v:355:y:2019:i:c:p:343-355
    DOI: 10.1016/j.amc.2019.02.080
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    as
    1. Xiting Gong & Sean X. Zhou, 2013. "Optimal Production Planning with Emissions Trading," Operations Research, INFORMS, vol. 61(4), pages 908-924, August.
    2. Jiang, Zhujun & Shao, Shuai, 2014. "Distributional effects of a carbon tax on Chinese households: A case of Shanghai," Energy Policy, Elsevier, vol. 73(C), pages 269-277.
    3. S. Du & F. Ma & Z. Fu & L. Zhu & J. Zhang, 2015. "Game-theoretic analysis for an emission-dependent supply chain in a ‘cap-and-trade’ system," Annals of Operations Research, Springer, vol. 228(1), pages 135-149, May.
    4. Demirci, Ece Zeliha & Erkip, Nesim K., 2017. "Designing an intervention strategy for public-interest goods: The California electric vehicle market case," Omega, Elsevier, vol. 69(C), pages 53-69.
    5. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    6. Sheu, Jiuh-Biing, 2011. "Bargaining framework for competitive green supply chains under governmental financial intervention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 573-592, September.
    7. Raufer, Roger & Li, Shaoyi, 2009. "Emissions trading in China: A conceptual ‘leapfrog’ approach?," Energy, Elsevier, vol. 34(7), pages 904-912.
    8. Zhang, Bin & Xu, Liang, 2013. "Multi-item production planning with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 144(1), pages 118-127.
    9. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    10. Price, Lynn & Wang, Xuejun & Yun, Jiang, 2010. "The challenge of reducing energy consumption of the Top-1000 largest industrial enterprises in China," Energy Policy, Elsevier, vol. 38(11), pages 6485-6498, November.
    11. Hu, Guangyu & Rong, Ke & Shi, Yongjiang & Yu, Jing, 2014. "Sustaining the emerging carbon trading industry development: A business ecosystem approach of carbon traders," Energy Policy, Elsevier, vol. 73(C), pages 587-597.
    12. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    13. Xiao, Tiaojun & Yu, Gang, 2006. "Supply chain disruption management and evolutionarily stable strategies of retailers in the quantity-setting duopoly situation with homogeneous goods," European Journal of Operational Research, Elsevier, vol. 173(2), pages 648-668, September.
    14. Kunsch, P. & Springael, J., 2008. "Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1285-1299, March.
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