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Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia

Author

Listed:
  • Fajar Nurrohman Haryadi

    (PT (PLN) Persero, Jakarta, Indonesia,)

  • Arionmaro Asi Simaremare

    (PT (PLN) Persero, Jakarta, Indonesia,)

  • Shochrul Rohmatul Rohmatul

    (Faculty of Economics and Business, Universitas Airlangga, Indonesia,)

  • Dzikri Firmansyah Hakam

    (School of Business and Management, ITB, Indonesia.)

  • Kevin Gausultan Hadith Mangunkusumo

    (PT (PLN) Persero, Jakarta, Indonesia,)

Abstract

The utilization of energy in transportation sector is a major contributor to carbon dioxide emissions, and the adoption of electric vehicles (EVs) is seen as a solution to reduce this impact. However, the utilization of electric charging stations (ECS) and EV charging stations (EVCS) in Indonesia is not optimal, as evidenced by low usage levels. This study aimed to understand the characteristics of ECS and EVCS users in Indonesia in order to identify determinant factors for ECS and EVCS utilization. Using descriptive quantitative analysis, exploratory factor analysis, and binary logistic regression, the study found that potential EVCS users are adults from upper-middle-class backgrounds, with four family members, who own a motorcycle and live in suburban areas. Furthermore, a wide social network, knowledge of technology, and ease of access, convenience, and price were identified as key factors for choosing ECS/EVCS. However, an attitude of caring for the environment had a negative effect on ECS/EVCS usage, and respondents who charge their electronic devices at home overnight were less likely to use ECS/EVCS. The study also found that the number of sockets in a respondent's home, previous family members' experience, and duration of work experience and self-identity were also reasons for choosing to use ECS/EVCS. Overall, this study provides a deeper understanding of the factors that influence the utilization of ECS and EVCS in Indonesia.

Suggested Citation

  • Fajar Nurrohman Haryadi & Arionmaro Asi Simaremare & Shochrul Rohmatul Rohmatul & Dzikri Firmansyah Hakam & Kevin Gausultan Hadith Mangunkusumo, 2023. "Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 434-442, May.
    • Handle: RePEc:eco:journ2:2023-03-48
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    Cited by:

    1. Muhammad Habiburrahman & Rahmat Nurcahyo & Azanizawati Ma’aram & Kaoru Natsuda, 2024. "Driving the Transport Electrification: Exploring Stakeholders’ Perceptions and Actions in the Indonesian Automotive Industry Transition to Electric Mobility," Sustainability, MDPI, vol. 16(14), pages 1-20, July.
    2. Putu Agus Aditya Pramana & Dzikri Firmansyah Hakam & Handrea Bernando Tambunan & Kemas Muhammad Tofani & Kevin Gausultan Hadith Mangunkusumo, 2024. "How Are Consumer Perspectives of PV Rooftops and New Business Initiatives in Indonesia’s Energy Transition?," Sustainability, MDPI, vol. 16(4), pages 1-17, February.
    3. Natalina Damanik & Ririen Clara Octavia & Dzikri Firmansyah Hakam, 2024. "Powering Indonesia’s Future: Reviewing the Road to Electric Vehicles Through Infrastructure, Policy, and Economic Growth," Energies, MDPI, vol. 17(24), pages 1-16, December.

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    More about this item

    Keywords

    Electric Charging Stations; Electric Vehicle Charging Stations; Exploratory Factor Analysis; Binary Logit Regression;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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