Exploring incentives to promote electric vehicles diffusion under subsidy abolition: An evolutionary analysis on multiplex consumer social networks
Yitong Wang,
Ruguo Fan,
Kang Du and
Xuguang Bao
Energy, 2023, vol. 276, issue C
Abstract:
With the abolition of the purchase subsidies for electric vehicles (EVs) in China commencing from 2023, expanding the incentive policy system has become a priority. In the absence of subsidies, different types of information from multiple dimensions become important references for EV adoption, which were rarely studied. To fill the gap, we developed an evolutionary model based on multiplex networks to analysis the effectiveness of different types of policies based on consumers' dynamic decisions. Furthermore, different interaction mechanisms were constructed to examine the influence of information dimensions of EV quantity and evaluations. Our results show that: (1) The value retention rate of EVs exerts a significant impact on the adoption rate. (2) Restricting the purchase and driving of traditional vehicles can stimulate the diffusion of EVs. However, due to crowding-out effect, no better policy effect can be achieved when both policies are strictly implemented. (3) The behavioral information possesses a dual impact. Demonstration policies can enhance adoption by improving consumers’ perception of the number of EVs. Education and publicity can promote the adoption by enhancing consumers' evaluation. (4) Compared with the evaluation information, the quantity of EVs is more reliable, which also reflects the subtle influence of the environment.
Keywords: EV adoption; Information dimension; Policy effect; Multiplex network; Dynamic decision making (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223009817
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:276:y:2023:i:c:s0360544223009817
DOI: 10.1016/j.energy.2023.127587
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().