Heterogeneity of Indirect Network Effects: Evidence from the Chinese Electric Vehicle Market

70 Pages Posted: 28 Dec 2023 Last revised: 19 Jan 2026

See all articles by Jianwei Xing

Jianwei Xing

Peking University - National School of Development

Junji Xiao

Lingnan University

Jiming Wang

Pennsylvania State University

Xiaodan Guo

Dongbei University of Finance and Economics

Date Written: December 22, 2023

Abstract

Governments can accelerate technology adoption by directly subsidizing the technology or supporting complementary infrastructure, particularly when indirect network effects are present. This paper examines the heterogeneity of these indirect network effects, driven by variations in product characteristics within the market. Using data on electric vehicle (EV) sales and charging infrastructure provision in China, and focusing on a period of rapid market expansion with increasing product differentiation, we analyze the indirect network effects between EV adoption and charging stations, investigating their heterogeneity. We also assess the relative effectiveness of EV purchase subsidies and charger subsidies in promoting EV adoption. Our findings reveal that the strength of indirect network effects depends on vehicle characteristics, particularly driving range. Furthermore, the two subsidy instruments have distinct distributional effects: purchase subsidies primarily benefit high-range vehicles and their buyers, while charger subsidies disproportionately favor low-range vehicles and their buyers.

Keywords: indirect network effect, subsidy, electric vehicles, welfare analysis

JEL Classification: H23, D61, L62

Suggested Citation

Xing, Jianwei and Xiao, Junji and Wang, Jiming and Guo, Xiaodan, Heterogeneity of Indirect Network Effects: Evidence from the Chinese Electric Vehicle Market (December 22, 2023). Available at SSRN: https://ssrn.com/abstract=4672874 or http://dx.doi.org/10.2139/ssrn.4672874

Jianwei Xing (Contact Author)

Peking University - National School of Development ( email )

Beijing, 100871
China

Junji Xiao

Lingnan University ( email )

Jiming Wang

Pennsylvania State University ( email )

Xiaodan Guo

Dongbei University of Finance and Economics ( email )

China

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