Impact of dual credit policy on new energy vehicles technology innovation with information asymmetry

Miaomiao Ma, Weidong Meng, Yuyu Li and Bo Huang

Applied Energy, 2023, vol. 332, issue C, No S0306261922017810

Abstract: Promoting new energy vehicles (NEVs) is one of the most effective means to solve the increasingly severe energy shortage and environmental pollution problems. Considering the dual credit policy and carmakers having private information, we construct the Stackelberg game models to obtain the optimal technology innovation strategy for the NEVs production systems under information symmetry and information asymmetry. Then, we compare the optimal solutions in different situations obtaining some interesting conclusions. The results reveal that (1) the dual credit policy can promote technology innovation and improve the technical performance of NEVs. Moreover, the higher the credits price and the higher the technology innovation credit coefficient, the more significant the promotion effect. (2) When customers’ technology preference is low, information asymmetry weakens the incentive effect of the dual credit policy. With the increase of credit price or technology innovation credit coefficient, the weakening of the dual credit policy incentive effect by information asymmetry becomes more significant.

Keywords: Dual credit policy; Information asymmetry; New energy vehicle; Technology innovation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261922017810
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:appene:v:332:y:2023:i:c:s0306261922017810

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2022.120524

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().