Sustainable Transition toward Electric Vehicles: A Comprehensive Empirical and Statistical Analysis for Emerging Economies

Jayashree K
Assistant Professor, Department of Management Studies
Dayananda Sagar College of Engineering, Bengaluru, India
Research Scholar, K. S. School of Engineering and Management, Bengaluru, India

Shekar H S
Principal, RNS First Grade College, Bengaluru, India

Abstract

This study uses behavioral frameworks and multivariate statistical analysis to assess the factors that influence consumers' intentions to purchase electric cars (EVs) in emerging economies. Understanding how consumers adopt new technology is crucial given the fast growth of metropolitan areas and the increasing environmental concerns they face. We look at an integrated framework that takes into account budgetary limitations, policy support mechanisms, charging infrastructure, and environmental consciousness. We performed various linear regression models, correlation matrices, and reliability diagnostics using primary survey data gathered from 150 urban respondents. According to the statistics, adoption intent is most positively impacted by environmental awareness (Beta = 0.34, p < 0.001) and the availability of charging infrastructure (Beta = 0.29, p = 0.001). However, government incentives offer a crucial acceleration path (Beta = 0.26, p = 0.003), but high initial purchase costs continue to be a major systematic obstacle (Beta = -0.21, p = 0.005). These scientific findings serve as a basis for practical policy suggestions meant to increase charging accessibility, modify subsidy schemes, and create dependable clean transportation frameworks tailored to emerging economies.

Keywords: Electric Vehicles, Sustainability, EV Adoption, Regression Analysis, Emerging Economies, Urban Mobility.