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  Code 04/29/2023 01:56:PM
  Data 04/29/2023 01:56:PM
README_AERPP_EV_Passthrough.pdf application/pdf 128.2 KB 04/29/2023 05:44:PM

Project Citation: 

Barwick, Panle Jia, Kwon, Hyuk-soo, Wang, Binglin, and Zahur, Nahim Bin. Data and Code for: “Pass-through of Electric Vehicle Subsidies: A Global Analysis.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-03. https://doi.org/10.3886/E190401V1

Project Description

Summary:  View help for Summary These files contain the programs and data necessary to replicate the analyses in the paper “Pass-through of Electric Vehicle Subsidies: A Global Analysis”. Some of the data is proprietary for which we provide instructions on how the data can be obtained. The paper investigates the pass-through of electric vehicle (EV) subsidies in thirteen countries that account for 95% of global EV sales from 2013 to 2020. Our results indicate high pass-through rates of 70-80% on average. Pass-through is highest for global firms that sell the same EV models across multiple countries, consistent with uniform pricing by these firms, as well as avoidance of third-party arbitrage. We find suggestive evidence that pass-through is higher for tax incentives than for direct consumer subsidies.
Funding Sources:  View help for Funding Sources Social Sciences and Humanities Research Council (Canada) (430-2022-00973)

Scope of Project

Subject Terms:  View help for Subject Terms Subsidy; Passthrough; Electric Vehicles; Reference Pricing
JEL Classification:  View help for JEL Classification
      H22 Taxation and Subsidies: Incidence
      L11 Production, Pricing, and Market Structure; Size Distribution of Firms
      Q48 Energy: Government Policy
      R48 Transportation Economics: Government Pricing and Policy
Time Period(s):  View help for Time Period(s) 2013 – 2020
Data Type(s):  View help for Data Type(s) program source code


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