Electric vehicles (EVs) are evolving significantly, and extensive publications have explored this phenomenon. EVs have more attractions, especially in developing countries like Indonesia, as eco-friendly alternatives to traditional cars. This paper applies the Push–Pull-Mooring (PPM) theory to analyze factors influencing consumer inclination toward EV adoption. It explores the impact of push factors (cost and environmental concerns), pull factors (government incentives and subjective norms), and mooring factors (infrastructure readiness) on individuals’ intentions to switch to EVs. Through a survey involving 347 respondents using judgmental sampling, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypotheses. Results reveal that cost, environmental concerns, subjective norms, and infrastructure readiness positively influence the decision to transition to EVs. Based on the findings, the impact of government incentive policies toward switching intention is not evident. On the other hand, infrastructure readiness does not moderate the relationship between various factors and switching intentions. This study enhances understanding of EV adoption dynamics in developing countries, offering valuable insights for policymakers and stakeholders to craft effective strategies for promoting sustainable transportation.

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Switching Intention from Conventional Internal Combustion Engine Vehicles to Electric Vehicles in Developing Country

  • Christine Fransiska,
  • Dominicus Edwin,
  • Evi Rinawati Simanjuntak

摘要

Electric vehicles (EVs) are evolving significantly, and extensive publications have explored this phenomenon. EVs have more attractions, especially in developing countries like Indonesia, as eco-friendly alternatives to traditional cars. This paper applies the Push–Pull-Mooring (PPM) theory to analyze factors influencing consumer inclination toward EV adoption. It explores the impact of push factors (cost and environmental concerns), pull factors (government incentives and subjective norms), and mooring factors (infrastructure readiness) on individuals’ intentions to switch to EVs. Through a survey involving 347 respondents using judgmental sampling, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypotheses. Results reveal that cost, environmental concerns, subjective norms, and infrastructure readiness positively influence the decision to transition to EVs. Based on the findings, the impact of government incentive policies toward switching intention is not evident. On the other hand, infrastructure readiness does not moderate the relationship between various factors and switching intentions. This study enhances understanding of EV adoption dynamics in developing countries, offering valuable insights for policymakers and stakeholders to craft effective strategies for promoting sustainable transportation.