DC Accepted Papers Paper: Are Electric Vehicles Incentives Effective? Evidence from the 50 U.S. States

*Names in bold indicate Presenter

Shiying Wang, Georgetown University; World Resources Institute

This study evaluates the effectiveness of state-level electric vehicles (EVs) incentives in the
United States. Many barriers can prevent electric vehicles from gaining a larger market share.
This study will mainly focus on two of these – “model availability” on the EV supply-side;
and the “knowledge gap” on the EV demand-side to examine the heterogeneities in state-level
incentive allocation structure and effectiveness. A three-level Stackelberg game model is used
to illustrate the interactions among state governments, electric vehicle manufacturers, and
electric vehicle consumers to understand how government subsidies should be allocated. A
rich panel data set of annual state-level EV data is used to empirically evaluate the
effectiveness of state incentives and policies. In addition, result of sentiment analysis of twitter
data is introduced to categorize state-level public perception of electric vehicles, which can
explain the importance of campaign plans and the networks among states, to better inform the
future policies.

My results show an overall 5%-14% increase in EV sales per every $1000 increase in
subsidies across all the states. State-level climate commitments such as ZEV mandates and
emissions reduction targets have a positive effect on the promotion of EV purchases, but do
not significantly increase the effect of other policies instruments. Regional alliance and
educational campaign activities can increase the effectiveness of incentives. More
specifically, the results from frequency words and Latent Dirichlet Allocation (LDA) model
on Twitter data indicate that linking electric vehicles to some topics such as climate change,
healthcare, battery etc. will gain more public attention.

Research Paper, Project, or PowerPoint Download
  • Shiying_DraftPaper.pdf (1.1 MB)