The Market for Electric Vehicles: Indirect Network Effects and Policy Design

A-Tier
Journal: Journal of the Association of Environmental and Resource Economists
Year: 2017
Volume: 4
Issue: 1
Pages: 89 - 133

Authors (4)

Shanjun Li (Cornell University) Lang Tong (not in RePEc) Jianwei Xing (not in RePEc) Yiyi Zhou (Stony Brook University - SUNY)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The market for plug-in electric vehicles (EVs) exhibits indirect network effects due to the interdependence between EV adoption and charging station investment. Through a stylized model, we demonstrate that indirect network effects on both sides of the market lead to feedback loops that could alter the diffusion process of the new technology. Based on quarterly EV sales and charging station deployment in 353 metro areas from 2011 to 2013, our empirical analysis finds indirect network effects on both sides of the market, with those on the EV demand side being stronger. The federal income tax credit of up to $7,500 for EV buyers contributed to about 40% of EV sales during 2011-13, with feedback loops explaining 40% of that increase. A policy of equal-sized spending but subsidizing charging station deployment could have been more than twice as effective in promoting EV adoption.

Technical Details

RePEc Handle
repec:ucp:jaerec:doi:10.1086/689702
Journal Field
Environment
Author Count
4
Added to Database
2026-01-25