Manuscript received November 30, 2025; accepted December 18, 2025; published June 15, 2026
Abstract—Global efforts to tackle the consequences of climate change have pushed Electric Vehicles (EV) into the spotlight. However, adoption rates of EV vary substantially across countries. While prior research predominantly focused on government incentives, infrastructure, and business models, far less is known about the socio-cultural factors that enable EV adoption. Our study addresses this gap by examining the role of civic culture, specifically institutional and interpersonal trust, in impacting national EV adoption rates. Using sales data from the International Energy Agency and World Values Survey indicators from 21 countries, we apply Least Absolute Shrinkage and Selection Operator (LASSO) regression and SHapley Additive exPlanations (SHAP) analysis as a unique methodology. Results show that environmental commitment, confidence in political institutions, and interpersonal trust are among the strongest predictors of EV adoption. This research contributes cross-disciplinary insights by extending Civic Culture Theory into the domain of sustainable technology diffusion and highlights the importance of socio-cultural factors for policymakers and automakers seeking to accelerate the transition to EVs.
Keywords—electric vehicle, sustainability, Least Absolute Shrinkage and Selection Operator (LASSO), SHapley Additive exPlanations (SHAP) analysis
Cite: Chong Guan and Victor Kwan*, "Civic Culture and Electric Vehicle Adoption: A Global Analysis Using LASSO and SHAP," International Journal of Social Science and Humanity, vol. 16, no. 2, pp. 93-98, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).