Li, Tao, Ma, Lei, Liu, Zheng ORCID: https://orcid.org/0000-0001-7240-3501, Yi, Chaonan and Liang, Kaitong (2023) Dual carbon goal-based quadrilateral evolutionary game: study on the new energy vehicle industry in China. International Journal of Environmental Research and Public Health, 20 (4):3217. pp. 1-16. ISSN 1660-4601 (Print), 1661-7827 (Online) (doi:10.3390/ijerph20043217)

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Abstract

In an effort to tackle climate change, the “Dual Carbon” target raised by the Chinese government aims to reach peak carbon dioxide emissions by 2030 and to achieve carbon neutrality by 2060. Accordingly, policy incentives have accelerated the new energy vehicle (NEV) sector. Whilst previous studies have focused on the bilateral game between governments and manufacturers, NEV development has witnessed interaction among multiple players. In this paper, we construct a quadrilateral evolutionary game model, considering the impact of government policies, manufacturers’ R&D investments, dealers’ support, and consumer choice on the evolutionary stabilization strategy (ESS) in the context of China. The results show that: (1) in the absence of government incentives, there is no motivation for manufacturers, dealers and consumers to consider the development of NEVs; (2) government incentives affect manufacturers and consumers on the evolutionary paths in the short term. In the long term, benefit- and utility-based limited rationality has a dominant role in the ESS. This study contributes to the understanding of the multilateral dynamics of NEV innovation and provides important implications to practitioners and policy makers.

Item Type:	Article
Additional Information:	This article belongs to the Special Issue Sustainable Prosperity without Growth, or Damage to Nature.
Uncontrolled Keywords:	dual Carbon; new energy vehicle; innovation policy; quadrilateral evolutionary game
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Business Greenwich Business School > Networks and Urban Systems Centre (NUSC) Greenwich Business School > School of Business, Operations and Strategy
Last Modified:	17 Oct 2024 16:21
URI:	http://gala.gre.ac.uk/id/eprint/46111

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