Correctly pricing private vehicles and their use is paramount to building sustainable, safe, and equitable transportation systems. However, determining the “right” price – the combination of taxes on vehicle purchase, ownership, and use – is a complex problem. Although a rich literature exists on the subject, it is built on evidence from developed countries. This paper synthesizes the lessons learned from the literature, theoretical and empirical, on vehicle and fuel taxation for managing private vehicle demand. In particular, the paper examines the efficiency and distributional impacts of purchase, ownership, and use taxes. The literature is unequivocal that taxing use dominates taxing purchase or ownership on efficiency grounds. Nonetheless, the latter instruments can still have important roles to play, for example, addressing specific market failures, for equity and political acceptability considerations, or for ease of enforcement. The paper also discusses the practical challenges of saliency, gaming, and evasion of taxes; how the effectiveness of taxes as policy instruments also depends on the availability of alternatives to driving; and what the emergence of electric vehicles means for optimal taxation. Importantly, the paper considers how these lessons, mostly derived from high-income countries with mature automobile markets, apply to developing contexts. In addition to the policy discussion, the paper conducts two exercises compiling empirical evidence. It compiles and compares estimates of the externality costs associated with private vehicle use, including congestion, local air pollution, greenhouse gas emissions, injuries, and noise. Similarly, it compiles and compares demand response elasticities to vehicle purchase, ownership, and use taxes. Both serve as useful references for researchers, development practitioners, and policy makers.
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were analyzed in a computer with the following specifications:
– OS: Windows 11 Enterprise
– Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
– Memory available: 15.7 GB
See README in the reproducibility package.
This study conducts a comprehensive meta-analysis, synthesizing empirical data and theoretical insights from a broad range of literature. The complete list of papers, including author names, publication years, and corresponding values, is meticulously documented in Excel files and the Appendix of the paper.
Author | Affiliation | |
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He He | World Bank | hhe2@worldbank.org |
Chaeyoung Kim | World Bank | ckim9@worldbank.org |
2023-12
Location | Code |
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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He He | World Bank | hhe2@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reyes Retana | MRR | World Bank | Junior Data Scientist |
2024-01-10
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