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

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 i...

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Main Authors: Fajar Nurrohman Haryadi, Arionmaro Asi Simaremare, Shochrul Rohmatul Rohmatul, Dzikri Firmansyah Hakam, Kevin Gausultan Hadith Mangunkusumo
Format: Article
Language:English
Published: EconJournals 2023-05-01
Series:International Journal of Energy Economics and Policy
Subjects:
Online Access:http://www.econjournals.com/index.php/ijeep/article/view/14128
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author Fajar Nurrohman Haryadi
Arionmaro Asi Simaremare
Shochrul Rohmatul Rohmatul
Dzikri Firmansyah Hakam
Kevin Gausultan Hadith Mangunkusumo
author_facet Fajar Nurrohman Haryadi
Arionmaro Asi Simaremare
Shochrul Rohmatul Rohmatul
Dzikri Firmansyah Hakam
Kevin Gausultan Hadith Mangunkusumo
author_sort Fajar Nurrohman Haryadi
collection DOAJ
description 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.
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spelling doaj.art-90f9be87848d41cd9c4f15df7da468832023-05-19T14:31:45ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532023-05-0113310.32479/ijeep.14128Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in IndonesiaFajar Nurrohman Haryadi0Arionmaro Asi Simaremare1Shochrul Rohmatul Rohmatul2Dzikri Firmansyah Hakam3Kevin Gausultan Hadith Mangunkusumo4PT (PLN) Persero, Jakarta, Indonesia,PT (PLN) Persero, Jakarta, Indonesia,Faculty of Economics and Business, Universitas Airlangga, Indonesia,School of Business and Management, ITB, Indonesia.PT (PLN) Persero, Jakarta, Indonesia, 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. http://www.econjournals.com/index.php/ijeep/article/view/14128Electric Charging StationsElectric Vehicle Charging Stations, Exploratory Factor AnalysisBinary Logit Regression
spellingShingle Fajar Nurrohman Haryadi
Arionmaro Asi Simaremare
Shochrul Rohmatul Rohmatul
Dzikri Firmansyah Hakam
Kevin Gausultan Hadith Mangunkusumo
Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia
International Journal of Energy Economics and Policy
Electric Charging Stations
Electric Vehicle Charging Stations
, Exploratory Factor Analysis
Binary Logit Regression
title Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia
title_full Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia
title_fullStr Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia
title_full_unstemmed Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia
title_short Investigating the Impact of Key Factors on Electric/Electric-Vehicle Charging Station Adoption in Indonesia
title_sort investigating the impact of key factors on electric electric vehicle charging station adoption in indonesia
topic Electric Charging Stations
Electric Vehicle Charging Stations
, Exploratory Factor Analysis
Binary Logit Regression
url http://www.econjournals.com/index.php/ijeep/article/view/14128
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