Replication Data for: Bundling up actions to electrify – A fuzzy-set qualitative comparative analysis of e-mobility policies in 16 cities in the United States of Americahttps://doi.org/10.7910/DVN/6PXWSMHeld, TobiasGerrits, LasseGianoli, AlbertoGebremeskel, Danait GebremichaelGuttman, SolomonHarvard Dataverse2026-02-092026-02-10T02:34:50ZPolicymakers in cities in the United States of America (U.S.) must tailor the right bundle of policies to promote the diffusion of battery electric vehicles (BEVs). We investigate the interplay of (non-)monetary incentives on U.S. state, city and utility-related policy levels. For doing so, we deploy fuzzy-set Qualitative Comparative Analysis (fsQCA) of BEV policies in 16 cities in the U.S. to identify policy configurations that promote BEV uptake. We provide a first-ever study to systematically evaluate BEV policy bundles across different U.S. policy levels. The dataset includes two files. File 1 contains data for the total cost of ownership calculations for a battery electric vehicle and an internal combustion engine vehicle for each of the 16 cases. File 2 provide data regarding all policies, BEV stock numbers and BEV targets included the analysis.Social Sciences2026-02-09Held, Tobias2026-02-03CC0 1.0