Sih Damayanti
ABSTRACT
Electric vehicle (EV) is considered as the most appropriate green technology to be applied in the automotive field for reducing energy use and CO2 emissions. Therefore, many countries encourage the use of EV, such as Indonesia. Remembering that EV implementation in Indonesia is a new thing and based on experience from several countries that the EV diffusion process is relatively slow, it is important to understand user acceptance on EV in Indonesia, including the factors that influence such acceptance.
This study aims to develop a conceptual model that can be used to investigate the complex dynamic relationships among factors and linkages of government policies affecting the EV adoption in Indonesia. The conceptual model was developed using causal loop diagrams to capture the EV adoption process. Furthermore, a system diagram was developed to illustrate EV adoption problems comprehensively. This study results can be used as a basis for developing strategies and scenarios to increase EV adoption in Indonesia.
- Fan, Yee Van, Simon Perry, Jiří Jaromír Kleineš, and Chew Tin Lee, 2018. A Review on Air Emissions Assessment: Transportation. Journal of Cleaner Production 194, 673--84. DOI: https://doi.org/10.1016/j.jclepro.2018.05.151.Google Scholar
Cross Ref
- Degirmenci, Kenan, and Michael H. Breitner, 2017. Consumer Purchase Intentions for Electric Vehicles: Is Green More Important Than Price and Range?. Transportation Research Part D: Transport and Environment 51, 250--60. DOI: https://doi.org/10.1016/j.trd.2017.01.001.Google ScholarCross Ref
- Indonesia. 2016. Undang-Undang Republik Indonesia Nomor 16 Tahun 2016 Tentang Pengesahan Paris Agreement to the United Nations Framework Convention on Climate Change.Google Scholar
- Sang, Yew-Ngin, and Hussain Ali Bekhet, 2015. Modelling Electric Vehicle Usage Intentions: An Empirical Study in Malaysia. Journal of Cleaner Production 92, 75--83. DOI: https://doi.org/10.1016/j.jclepro.2014.12.045.Google ScholarCross Ref
- Li, Wenbo, Ruyin Long, Hong Chen, and Jichao Geng, 2017. A Review of Factors Influencing Consumer Intentions to Adopt Battery Electric Vehicles. Renewable and Sustainable Energy Reviews 78, 318--28. DOI:https://doi.org/10.1016/j.rser.2017.04.076.Google ScholarCross Ref
- Hawkins, Troy R., Bhawna Singh, Guillaume Majeau-Bettez, and Anders Hammer Strømman, 2012. Comparative Environmental Life Cycle Assessment of Conventional and Electric Vehicles. Journal of Industrial Ecology 17, 1, 53--64. DOI: https://doi.org/10.1111/j.1530-9290.2012.00532.x.Google Scholar
- Coffman, Makena, Paul Bernstein, and Sherilyn Wee, 2016. Electric Vehicles Revisited: A Review of Factors That Affect Adoption. Transport Reviews 37, 1, 79--93. DOI: https://doi.org/10.1080/01441647.2016.1217282.Google Scholar
- Sierzchula, William, Sjoerd Bakker, Kees Maat, and Bert van Wee, 2014. The Influence of Financial Incentives and Other Socio-Economic Factors on Electric Vehicle Adoption. Energy Policy 68, 183--94. DOI: https://doi.org/10.1016/j.enpol.2014.01.043.Google ScholarCross Ref
- Indonesia. 2019. Peraturan Presiden Republik Indonesia Nomor 55 Tahun 2019 Tentang Percepatan Program Kendaraan Bermotor Listrik Berbasis Baterai (Battery Electric Vehicle) Untuk Transportasi Jalan.Google Scholar
- Wang, Ning, Linhao Tang, and Huizhong Pan. 2018. Analysis of Public Acceptance of Electric Vehicles: An Empirical Study in Shanghai. Technological Forecasting and Social Change 126, 284--91. DOI: https://doi.org/10.1016/j.techfore.2017.09.011.Google ScholarCross Ref
- Adnan, Nadia, Shahrina Md Nordin, and Imran Rahman. 2017. Adoption of Phev/Ev in Malaysia: A Critical Review on Predicting Consumer Behaviour. Renewable and Sustainable Energy Reviews 72, 849--62. DOI: https://doi.org/10.1016/j.rser.2017.01.121.Google ScholarCross Ref
- Bühler, Franziska, Peter Cocron, Isabel Neumann, Thomas Franke, and Josef F. Krems, 2014. Is Ev Experience Related to Ev Acceptance? Results from a German Field Study. Transportation Research Part F: Traffic Psychology and Behaviour 25, 34--49. DOI: https://doi.org/10.1016/j.trf.2014.05.002.Google ScholarCross Ref
- Feng, Bo, Qiwen Ye, and Brian J. Collins, 2019. A Dynamic Model of Electric Vehicle Adoption: The Role of Social Commerce in New Transportation. Information & Management 56, 2, 196--212. DOI:https://doi.org/10.1016/j.im.2018.05.004.Google ScholarDigital Library
- Lin, Boqiang, and Wei Wu, 2018. Why People Want to Buy Electric Vehicle: An Empirical Study in First-Tier Cities of China. Energy Policy 112, 233--41. DOI: https://doi.org/10.1016/j.enpol.2017.10.026.Google ScholarCross Ref
- Ng, Mark, Monica Law, and Serene Zhang, 2018. Predicting Purchase Intention of Electric Vehicles in Hong Kong. Australasian Marketing Journal (AMJ) 26, 3, 272--80. DOI: https://doi.org/10.1016/j.ausmj.2018.05.015.Google ScholarCross Ref
- Rezvani, Zeinab, Johan Jansson, and Jan Bodin. 2015. Advances in Consumer Electric Vehicle Adoption Research: A Review and Research Agenda. Transportation Research Part D: Transport and Environment 34, 122--36. DOI:https://doi.org/10.1016/j.trd.2014.10.010.Google ScholarCross Ref
- Shepherd, Simon, Peter Bonsall, and Gillian Harrison, 2012. Factors Affecting Future Demand for Electric Vehicles: A Model Based Study. Transport Policy 20, 62--74. DOI: https://doi.org/10.1016/j.tranpol.2011.12.006.Google ScholarCross Ref
- Ulli-Beer, Silvia, Fritz Gassmann, Mathias Bosshardt, and Alexander Wokaun, 2010. Generic Structure to Simulate Acceptance Dynamics. System Dynamics Review 26, 2, 89--116. DOI: https://doi.org/10.1002/sdr.440.Google ScholarCross Ref
- Lopez-Behar, Diana, Martino Tran, Thomas Froese, Jerome R. Mayaud, Omar E. Herrera, and Walter Merida, 2019. Charging Infrastructure for Electric Vehicles in Multi-Unit Residential Buildings: Mapping Feedbacks and Policy Recommendations. Energy Policy 126, 444--51. DOI:https://doi.org/10.1016/j.enpol.2018.10.030.Google ScholarCross Ref
- Noel, Lance, Andrea Papu Carrone, Anders Fjendbo Jensen, Gerardo Zarazua de Rubens, Johannes Kester, and Benjamin K. Sovacool, 2019. Willingness to Pay for Electric Vehicles and Vehicle-to-Grid Applications: A Nordic Choice Experiment. Energy Economics 78, 525--34. DOI:https://doi.org/10.1016/j.eneco.2018.12.014.Google ScholarCross Ref
- Liu, Dunnan, and Bowen Xiao, 2018. Exploring the Development of Electric Vehicles under Policy Incentives: A Scenario-Based System Dynamics Model. Energy Policy 120, 8--23. DOI: https://doi.org/10.1016/j.enpol.2018.04.073.Google ScholarCross Ref
- Silvia, Chris, and Rachel M. Krause, 2016. Assessing the Impact of Policy Interventions on the Adoption of Plug-in Electric Vehicles: An Agent-Based Model. Energy Policy 96, 105--18. DOI:https://doi.org/10.1016/j.enpol.2016.05.039.Google ScholarCross Ref
- Will, Christian, and Alexander Schuller, 2016. Understanding User Acceptance Factors of Electric Vehicle Smart Charging. Transportation Research Part C: Emerging Technologies 71, 198--214. DOI:https://doi.org/10.1016/j.trc.2016.07.006.Google ScholarCross Ref
- Tamor, Michael A., Chris Gearhart, and Ciro Soto, 2013. A Statistical Approach to Estimating Acceptance of Electric Vehicles and Electrification of Personal Transportation. Transportation Research Part C: Emerging Technologies 26, 125--34. DOI: https://doi.org/10.1016/j.trc.2012.07.007.Google ScholarCross Ref
- Kumar, Rajeev Ranjan, and Alok Kumar. 2019. Adoption of Electric Vehicle: A Literature Review and Prospects for Sustainability. Journal of Cleaner Production. DOI: https://doi.org/10.1016/j.jclepro.2019.119911.Google Scholar
- Ngowtanasuwan, Grit, and Bonaventura H. W. Hadikusumo. 2017. System Dynamics Modelling for Bim Adoption in Thai Architectural and Engineering Design Industry. Construction Innovation 17, 4, 457--74. DOI:https://doi.org/10.1108/ci-03-2016-0018.Google ScholarCross Ref
- Tsai, Juin-Ming, and Shiu-Wan Hung, 2014. A Novel Model of Technology Diffusion: System Dynamics Perspective for Cloud Computing. Journal of Engineering and Technology Management 33, 47--62. DOI:https://doi.org/10.1016/j.jengtecman.2014.02.003.Google ScholarDigital Library
- Kuo, Tsai Chi, Syu-Hong Lin, Ming-Lang Tseng, Anthony S. F. Chiu, and Chia-Wei Hsu, 2019. Biofuels for Vehicles in Taiwan: Using System Dynamics Modeling to Evaluate Government Subsidy Policies. Resources, Conservation and Recycling 145, 31--39. DOI: https://doi.org/10.1016/j.resconrec.2019.02.005.Google ScholarCross Ref
- Hidayatno, Akhmad, Regina Dhamayanti, and Arry Rahmawan Destyanto, 2018. Model Conceptualization for Policy Analysis in Renewable Energy Development in Indonesia by Using System Dynamics. International Journal of Smart Grid and Clean Energy, 54--58. DOI: https://doi.org/10.12720/sgce.8.1.54-58.Google Scholar
- Wang, Delu, Gang Ma, Xuefeng Song, and Yun Liu, 2017. Energy Price Slump and Policy Response in the Coal-Chemical Industry District: A Case Study of Ordos with a System Dynamics Model. Energy Policy 104, 325--39. DOI:https://doi.org/10.1016/j.enpol.2017.02.014.Google ScholarCross Ref
- Fontoura, Wlisses Bonelá, Gisele de Lorena Diniz Chaves, and Glaydston Mattos Ribeiro, 2019. The Brazilian Urban Mobility Policy: The Impact in São Paulo Transport System Using System Dynamics. Transport Policy 73, 51--61. DOI: https://doi.org/10.1016/j.tranpol.2018.09.014.Google ScholarCross Ref
- Edaibat, Emad A., Jason Dever, and Steven M. F. Stuban, 2017. System Dynamics Simulation Modeling of Health Information Exchange (Hie) Adoption and Policy Intervention: A Case Study in the State of Maryland. Operations Research for Health Care 12, 60--70. DOI:https://doi.org/10.1016/j.orhc.2017.02.001.Google ScholarCross Ref
- Newell, B., and J. Siri, 2016. A Role for Low-Order System Dynamics Models in Urban Health Policy Making. Environ Int 95 (Oct, 2016), 93--7. DOI:https://doi.org/10.1016/j.envint.2016.08.003.Google Scholar
- Jia, Shuwei, Xiaolu Liu, and Guangle Yan, 2019. Effect of Apcf Policy on the Haze Pollution in China: A System Dynamics Approach. Energy Policy 125, 33--44. DOI: https://doi.org/10.1016/j.enpol.2018.10.012.Google ScholarCross Ref
- Barlas, Yaman. 2002. System Dynamics: Systemic Feedback Modeling for Policy Analysis. UNESCO-EOLSS Publishers, Oxford.Google Scholar
- Sterman, John D. 2001. System Dynamics Modeling: Tools for Learning in a Complex World. California Management Review 43, 4, 8--25.Google ScholarCross Ref
- Setiawan, Andri D., Irvanu Rahman, Akhmad Hidayatno, and Almira Dilis Eliana Zelin, 2019. Modeling Adoption of Electronic Money in Indonesia. Proceedings of the 2019 5th International Conference on Industrial and Business Engineering.Google Scholar
- Ardila, Laura, and Carlos Franco, 2013. Policy Analysis to Boost the Adoption of Alternative Fuel Vehicles in the Colombian Market. 31st International Conference of System Dynamics Society.Google Scholar
- Struben, Jeroen, and John D. Sterman, 2008. Transition Challenges for Alternative Fuel Vehicle and Transportation Systems. Environment and Planning B: Planning and Design 35, 6, 1070--97. DOI: https://doi.org/10.1068/b33022t.Google ScholarCross Ref
- Yu, Jiali, Peng Yang, Kai Zhang, Faping Wang, and Lixin Miao, 2018. Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China. Sustainability 10, 10. DOI: https://doi.org/10.3390/su10103394.Google Scholar
Index Terms
- User Acceptance of Electric Vehicles in Indonesia: A Conceptual Model
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