Electric Vehicle Policy Bundles in 16 U.S. Cities

This dataset supports a fuzzy-set Qualitative Comparative Analysis (fsQCA) of battery electric vehicle (BEV) policies across 16 U.S. cities. It contains two files: one with total cost of ownership calculations for BEVs and internal combustion engine vehicles, and another with policy data, BEV stock numbers, and BEV targets. The data was compiled by Tobias Held to identify policy configurations that promote BEV uptake.

Use Cases

• Apply fsQCA to identify policy configurations from the policy data file that correlate with high BEV stock numbers.
• Compare total cost of ownership calculations for BEVs versus internal combustion engine vehicles across the 16 cities.
• Analyze the relationship between BEV targets documented in the data and actual policy bundles implemented at state, city, and utility levels.

Strengths

• Data is structured for a specific, replicable methodology: fuzzy-set Qualitative Comparative Analysis (fsQCA).
• Covers a multi-level policy analysis across U.S. state, city, and utility-related levels for 16 distinct cases.
• Includes a first-ever systematic evaluation of BEV policy bundles across different U.S. policy levels according to the description.

Limitations

• The dataset is limited to 16 U.S. cities, which is a small sample size for broad statistical generalization.
• The analysis relies on policy documentation and targets, which may not reflect on-the-ground implementation or effectiveness.
• Data freshness is unknown beyond the last update date; policy landscapes evolve rapidly.

Provenance

Source

Journal of Public Policy Dataverse, authored by Tobias Held.

Collection Method

Compiled for a fsQCA study investigating the interplay of (non-)monetary incentives on U.S. state, city, and utility-related policy levels.

Freshness

Last updated on 2026-02-10.

Geography

16 cities in the United States of America.