Electric vehicle development in Pakistan: Predicting consumer purchase intention

Abstract

Pakistan's government has been pushing for electric vehicles adoption to decrease energy consumption and pollution. Acceptance of large numbers of electric vehicles will undoubtedly help to ease important issues such as carbon pollution and fuel reliance and to improve economic success. Pakistan is now considering switching from non-Electric vehicle to Electric vehicle (EVs) in spite of numerous cross-sectoral and multifaceted roadblocks. The theory of planned behavior (TPB) model was utilized in this study to construct a model of purchase intention impact mechanism for electric vehicles (EVs). It considered consumer attitude (AT) and subjective norms (SN), cognitive states (CS), product perception (PA), perceived behavioral control (PBC), non-monetary incentive policy (NMIP), as well as monetary policy (MIP). In Pakistan, a questionnaire was administered to potential customers. A total 511 valid survey responses were collected. The factors affecting EV buying intent were examined by Structural equation modeling (SEM) using SPSS AMOS. According to the results no factors tested negative, most of the factors were significant beneficial outcome on consumers' intents to buy electric vehicles (EVs). These findings were discussed with policy recommendations and conclusion.