The effect of government policies and consumer green preferences on the R&D diffusion of new energy vehicles: A perspective of complex network games

Ruguo Fan, Xuguang Bao, Kang Du, Yuanyuan Wang and Yitong Wang

Energy, 2022, vol. 254, issue PA

Abstract: Consumer preferences and government policies are important factors that affect the diffusion of new energy vehicles (NEVs). Based on the complex network evolutionary game theory, this paper constructs a R&D diffusion model of NEVs considering the emission trading scheme (ETS), and studies the effect of consumer green preferences and related government policies on the R&D diffusion of NEVs. The simulation analysis shows that: (1) consumer green preferences and the quota system have duality to the R&D diffusion of NEVs, which means that while increasing the proportion of NEV enterprises, they inhibit the R&D diffusion among NEV enterprises. (2) NEV enterprises are more inclined to invest in R&D projects with a low success probability, rather than those with a high success probability. (3) When the carbon price reaches a certain threshold, the ETS will facilitate the R&D diffusion of NEVs. However, with the further increase of the carbon price, the promotional effect will weaken. (4) When the R&D tax incentives reach a certain threshold, the increase in R&D tax incentives will greatly promote the R&D diffusion of NEVs. However, the promotional effect has an upper limit.

Keywords: New energy vehicle (NEV); R&D diffusion; Green consumer; Emission trading scheme (ETS); Complex network evolutionary game model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:254:y:2022:i:pa:s0360544222012191

DOI: 10.1016/j.energy.2022.124316

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