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Original scientific article

DETERMINANTS OF ELECTRIC VEHICLE PURCHASE INTENTION AMONG CONSUMERS IN ERNAKULAM DISTRICT

By
C.A. Anjana Orcid logo ,
C.A. Anjana
Contact C.A. Anjana

Research Scholar, Department of Management, Karpagam Academy of Higher Education , Coimbatore, Tamil Nadu , India

T.Y. Ebenezer Paul Rajan Orcid logo
T.Y. Ebenezer Paul Rajan

Associate Professor, Department of Management, Karpagam Academy of Higher Education , Coimbatore, Tamil Nadu , India

Abstract

The use of electric vehicles (EVs) is rapidly changing due to the rising environmental issues and the shift to the system of sustainable transportation, which includes factors such as government incentives, advancements in battery technology, and increasing consumer awareness about climate change. This paper looks at the factors that affect the intention of consumers to buy EVs in the Ernakulam District, Kerala. The research design adopted was a descriptive research design, which involved the use of a self-structured questionnaire to gather primary data from 432 respondents using purposive sampling. Data that was collected was measured through the use of statistical software like SPSS and AMOS that included reliability analysis and Structural Equation Modeling (SEM). The findings also show that the proposed model accounts for a significant percentage of purchase intention (𝑅2 = 0.58), which is a good indicator of explaining the purchase intention. Among the determinants, purchase price and government incentives have the largest effects, with the standardized path coefficients being significant. The consumer intention is also positively influenced by the environmental concern as people become more aware of sustainability. Also, performance and design play moderately in terms of adoption. Nevertheless, the lack of charging infrastructure and high upfront price become one of the significant obstacles to consumer readiness to use EVs. The reliability analysis shows that there is a good internal consistency of all constructs, with the values of Cronbach's alpha being between 0.749 and 0.883. The good fit of the framework is further justified by the model fit indices that portray that the framework fits the empirical data. The results underline the necessity of policy measures, such as better subsidies and better charging infrastructure, and lowering costs to speed up the use of EVs. The research can be of interest to policymakers, manufacturers, and marketers in a bid to develop effective tactics that will facilitate sustainable mobility in the emerging markets.

Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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Issue 35, 2026
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