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Competitive firms’ low-carbon technology diffusion under pollution regulations: A network-based evolutionary analysis

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  • Liu, Peide
  • Li, Xina
  • Li, Jialu

Abstract

To investigate the diffusion degree of low-carbon technology in competitive firms and the influence of different pollution regulations, we constructed an evolutionary game model representing three environmental mechanisms: total amount control and trading, carbon tax, and subsidy, within a complex firm network. By analyzing the effects of carbon quotas, tax rates, and subsidy rates, we comprehensively assessed the performance of these mechanisms in terms of diffusion degree, firm profits, consumer surplus, environmental damage, and social welfare. The study results demonstrated distinct outcomes for each environmental mechanism. Under the subsidy mechanism, low-carbon technology exhibited the highest diffusion degree, suggesting its efficacy in promoting widespread adoption. However, it is worth noting that the higher the subsidy, the more environmental pollution it led to, which presents a trade-off between environmental benefits and financial incentives. On the other hand, the carbon tax mechanism resulted in minimal pollution, reflecting its potential as an effective tool for environmental regulation. Finally, the cap-and-trade mechanism emerged as the most favorable option, as it maximized social welfare while effectively addressing environmental concerns.

Suggested Citation

  • Liu, Peide & Li, Xina & Li, Jialu, 2023. "Competitive firms’ low-carbon technology diffusion under pollution regulations: A network-based evolutionary analysis," Energy, Elsevier, vol. 282(C).
  • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223022302
    DOI: 10.1016/j.energy.2023.128836
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    References listed on IDEAS

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    1. He, Lihua & Chen, Liyan, 2021. "The incentive effects of different government subsidy policies on green buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    3. 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.
    4. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    5. Yina Li & Yang Tong & Fei Ye & Jiajia Song, 2020. "The choice of the government green subsidy scheme: innovation subsidy vs. product subsidy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 4932-4946, July.
    6. Xu, Xiaoping & He, Ping & Xu, Hao & Zhang, Quanpeng, 2017. "Supply chain coordination with green technology under cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 433-442.
    7. Krishnan S. Anand & François C. Giraud-Carrier, 2020. "Pollution Regulation of Competitive Markets," Management Science, INFORMS, vol. 66(9), pages 4193-4206, September.
    8. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
    Full references (including those not matched with items on IDEAS)

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