Synergies of Government Subsidies and Service Premium: A Game-Theoretic Analysis of Transport Mode Selection for Electric Vehicle Exports
This paper investigates the coordination between logistics and policy decisions for electric vehicle (EV) exports under the Belt and Road Initiative. Focusing on the two modes—maritime shipping and the China Railway Express (CR Express)—along with government production subsidies, import tariffs, and service premium, a Stackelberg game model for a cross-border supply chain comprising a domestic manufacturer and an overseas retailer is constructed. The equilibrium outcomes under four scenarios formed by combining subsidy policies and transportation modes (Models NM, NR, GM and GR) are compared theoretically and numerically, with further evaluation of capacity constraints and power structures, as well as the robustness verification of the core findings. Results show that the CR Express mode exhibits a service-driven nonlinear cost pattern, where its service premium amplifies positive market responses. Its appeal to the manufacturer, however, is tightly constrained by fixed cost. Furthermore, government subsidies can overcome this barrier by synergizing with the service premium, turning the CR Express into a relatively advantageous strategy. Moreover, subsidy efficacy is conditional, depending heavily on the service premium level and logistics cost coefficient, leading to a proposed differentiated subsidy framework. This study offers a theoretical basis for corporate logistics strategy and targeted policy design.
Authors
- Fangbing Liu
- Jizi Li
- Xiaoqing Huang
Institutions
- Wuhan University of Technology (CN)
- Jiangxi University of Technology (CN)
- Wuhan University of Science and Technology (CN)
- Jiangxi University of Science and Technology (CN)
Publication Details
- Journal
- World Electric Vehicle Journal
- Published
- 2026-02-15
- DOI
- https://doi.org/10.3390/wevj17020096
- Primary Topic
- Maritime Ports and Logistics
- Type
- article
- Field-Weighted Citation Impact
- 0.00