Moving from subsidy stimulation to endogenous development: A system dynamics analysis of China's NEVs in the post-subsidy era

Rui-Ke Ye, Zhuang-Fei Gao, Kai Fang, Kang-Li Liu and Jia-Wei Chen

Technological Forecasting and Social Change, 2021, vol. 168, issue C

Abstract: Development in new energy vehicles (NEVs) has been playing a critical role in carbon emission reduction and air pollution control. In recent years, China has made substantial progress in NEVs through purchase subsidies. However, financial subsidy has come under criticism for its unsustainability. The fact that Chinese government has gradually reduced the subsidies suggests that NEVs will be probably entering a post-subsidy era. It makes sense to seek for an alternative approach to boosting the NEV industry. By comparing the supply and demand sides, this study constructed a endogenous development diamond model to evaluate the overall effects of multiple factors that relate to China's NEVs. Our research demonstrates that, in the post-subsidy era, the transition of NEVs from subsidy stimulation to endogenous development will be depending on various interacting factors, namely, basic resources, demand conditions, supporting measures, and model innovations. Amongst the supporting measures are more prominent than the other primary factors, whereas technological innovation has the most positive effect on the promotion of NEVs in second-level factors. Our empirical analysis shows that NEV subsidy reduction is feasible because there have been alternative policy tools to replace the subsidy. Policymakers should focus on the synergies of various policy tools.

Keywords: New energy vehicle (NEV); Subsidy stimulation; Endogenous development; Diamond model; System dynamics (SD) (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:168:y:2021:i:c:s004016252100189x

DOI: 10.1016/j.techfore.2021.120757

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