Toward mass adoption of electric vehicles: policy optimisation under different infrastructure investment scenarios

Ting Chen, Xiao-Xue Zheng, Fu Jia and Lenny Koh

International Journal of Production Research, 2025, vol. 63, issue 13, 4908-4933

Abstract: Mass adoption of electric vehicles (EVs) is seen as a key solution for environmental degradation and a low-carbon economy. To promote EV adoption, the government's should choose the most efficient subsidy scheme from three options: a pure purchase subsidy for consumers, a pure infrastructure subsidy for automakers, or a combination of both. This study models the interactions among the government, automakers, and consumers using a Stackelberg game to identify the optimal subsidy structure, considering supply chain structures and infrastructure investments. Our findings show that a pure subsidy is optimal only when the supplier invests in charging infrastructure. However, if the automaker invests in infrastructure, a combination of both subsidies becomes beneficial. The government’s subsidy strategy depends on the adoption target and infrastructure investment costs. A combined policy is optimal when both the target and costs are high; otherwise, a pure subsidy is more cost-effective. Additionally, we find a complementary relationship between government subsidies and competition. Competition within the EV supply chain reduces the need for large subsidies, helping alleviate the government’s financial burden. Finally, while the most cost-effective subsidy scheme may be efficient in reducing costs, it can lead to poor economic performance and lower profits in certain cases.

Date: 2025
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DOI: 10.1080/00207543.2024.2446624

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