Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell University Graduate School
  3. Cornell Theses and Dissertations
  4. The Market For Electric Vehicles: Indirect Network Effects And Policy Impacts

The Market For Electric Vehicles: Indirect Network Effects And Policy Impacts

File(s)
jx82.pdf (1.04 MB)
Permanent Link(s)
https://hdl.handle.net/1813/40660
Collections
Cornell Theses and Dissertations
Applied Economics and Management MS Theses
Author
Xing, Jianwei
Abstract

Plug-in electric vehicles (EVs) offer great potential in reducing local air pollution and carbon emissions and in alleviating dependency on fossil fuel. However, there are significant barriers to the diffusion process of this new technology. The EV market features indirect network effects (or the chicken-and-egg problem) in that consumers may be reluctant to adopt EVs with the lack of public charging stations while investors are less willing to build charging stations when the installed base of EVs is small. Indirect network effects could amplify shocks whether negative or positive through feedback loops and therefore could slow down or speed up the diffusion process. Using a data set of quarterly EV sales in 353 metro areas from 2011 to 2013, this paper provides the first empirical analysis on the importance of indirect network effects in this market: a 10% increase in the number of charging stations would increase the EV sales by 10.8% while a 10% growth in the EV stock would lead to a 5.8% increase in the number of charging stations. Our simulation results find that the current federal tax credits of up to $7,500 have contributed to 48.5% of the EV sales during 2011-2013, with indirect network effect explaining 42% of that sales increase. The total tax credit of $1.05 billion given out during these three years brought about $0.23 billion in long-term environmental benefits, while a policy of equal-size spending but subsidizing charging station building would be several times more effective.

Date Issued
2015-05-24
Keywords
plug-in electric vehicles
•
indirect network effects
•
subsidy
Degree Discipline
Agricultural Economics
Degree Name
M.S., Agricultural Economics
Degree Level
Master of Science
Type
dissertation or thesis

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance