Optimal subsidy policy for new energy vehicles based on the influence of multiple factors and consumers' green preference

Policies concerning subsidies for new energy vehicles and consumers' environmental preferences significantly impact the sales of such vehicles. To investigate the correlation between sales and subsidies or consumers' environmental preferences and to devise optimal subsidy strategies, two S...

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Bibliographic Details
Published inManagerial and decision economics Vol. 45; no. 5; pp. 2868 - 2891
Main Authors Wang, Yi, Zhang, Zilu, Zhu, Meihong
Format Journal Article
LanguageEnglish
Published Chichester Wiley Periodicals Inc 01.07.2024
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Summary:Policies concerning subsidies for new energy vehicles and consumers' environmental preferences significantly impact the sales of such vehicles. To investigate the correlation between sales and subsidies or consumers' environmental preferences and to devise optimal subsidy strategies, two Stackelberg game models are constructed based on both monopoly and duopoly markets, with solutions derived for Nash equilibrium points. In order to refine the strategy for subsidy adjustments, two dynamic adjustment models considering bounded rationality are established. Additionally, the process of adjusting subsidies towards Nash equilibrium points is analyzed. Simulations, utilizing actual research data, are performed to assess China's current adjustment strategies. The findings reveal a substitution relationship between consumers' environmental preferences and subsidies. Furthermore, optimal subsidy levels and bounded rational subsidy adjustment strategies are identified. Governments should thoroughly consider consumers' environmental preferences when refining subsidy policies, as it is a crucial factor influencing the development of the new energy vehicle industry.
Bibliography:Funding information
This research was funded by National Natural Science Foundation of China (Grant No. 11601270) and Shandong Provincial Natural Science Foundation (Grant No. ZR2021MA038).
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content type line 14
ISSN:0143-6570
1099-1468
DOI:10.1002/mde.4142