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The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents

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  • Fan, Ruguo
  • Dong, Lili

Abstract

How to select subsidy strategy for government in low-carbon diffusion is discussed in this paper, considering heterogeneous agents’ behavior. Firstly, four government subsidy strategies are given, and the evolutionary game models are constructed including enterprises and consumers. Then seven diffusion scenarios are analyzed according to different initial states, and discussed in two situations, that is, when there is no fluctuation and when there is fluctuation. And then the related simulation analysis is carried out through a case of new energy vehicles diffusion, and the result shows: (1) when the percents of enterprises and consumers with low-carbon strategy and low-carbon consumption are small, the measure only using government subsidy cannot lead to the success of low-carbon diffusion, only if combined with other measures. (2) when the percents of enterprises and consumers with low-carbon strategy and low-carbon consumption both increase to a certain degree, low-carbon diffusion can be realized successfully even without government subsidy, which is true even when there is periodic fluctuation. (3) as for low-carbon diffusion, it may be better to pull the low-carbon market through the demand side than to push the low-carbon market through the supplier side. Finally, the related policy recommendations are given.

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  • Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    • Handle: RePEc:eee:enepol:v:117:y:2018:i:c:p:252-262
    DOI: 10.1016/j.enpol.2017.12.003
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    1. Trappey, Amy J.C. & Trappey, Charles & Hsiao, C.T. & Ou, Jerry J.R. & Li, S.J. & Chen, Kevin W.P., 2012. "An evaluation model for low carbon island policy: The case of Taiwan's green transportation policy," Energy Policy, Elsevier, vol. 45(C), pages 510-515.
    2. Μichalena, Evanthie & Hills, Jeremy M., 2016. "Stepping up but back: How EU policy reform fails to meet the needs of renewable energy actors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 716-726.
    3. Lu, Zhijian & Shao, Shuai, 2016. "Impacts of government subsidies on pricing and performance level choice in Energy Performance Contracting: A two-step optimal decision model," Applied Energy, Elsevier, vol. 184(C), pages 1176-1183.
    4. Jeon, Chanwoong & Lee, Jeongjin & Shin, Juneseuk, 2015. "Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case," Applied Energy, Elsevier, vol. 142(C), pages 33-43.
    5. Aryanpur, Vahid & Shafiei, Ehsan, 2015. "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions," Energy, Elsevier, vol. 91(C), pages 882-893.
    6. Lieven, Theo, 2015. "Policy measures to promote electric mobility – A global perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 78-93.
    7. Nicolini, Marcella & Tavoni, Massimo, 2017. "Are renewable energy subsidies effective? Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 412-423.
    8. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
    9. Zhang, Huiming & Li, Lianshui & Zhou, Dequn & Zhou, Peng, 2014. "Political connections, government subsidies and firm financial performance: Evidence from renewable energy manufacturing in China," Renewable Energy, Elsevier, vol. 63(C), pages 330-336.
    10. Simpson, Genevieve & Clifton, Julian, 2016. "Subsidies for residential solar photovoltaic energy systems in Western Australia: Distributional, procedural and outcome justice," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 262-273.
    11. 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.
    12. Yu, Yugang & Han, Xiaoya & Hu, Guiping, 2016. "Optimal production for manufacturers considering consumer environmental awareness and green subsidies," International Journal of Production Economics, Elsevier, vol. 182(C), pages 397-408.
    13. Hirte, Georg & Tscharaktschiew, Stefan, 2013. "The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis," Energy Economics, Elsevier, vol. 40(C), pages 515-528.
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