skip to main content

The Politics of Electric Vehicle Subsidies in Indonesia: Actors, Agenda, and Issues

Universitas Bakrie, Jakarta Selatan, DKI Jakarta , Indonesia

Open Access Copyright (c) 2024 Politika: Jurnal Ilmu Politik under https://creativecommons.org/licenses/by-sa/4.0/.

Citation Format:
Abstract

In light of the worldwide determination to address the consequences of climate change, the Indonesian government has established a goal of achieving carbon neutrality by the year 2060. The transportation sector in Indonesia is a significant source of carbon emissions due to its extensive reliance on fossil fuel consumption. In response to this challenge, the Indonesian government has implemented measures to expedite the motor vehicle electrification program by introducing a subsidy policy aimed at facilitating the public’s acquisition of electric vehicles. The formulation of this strategy initiated a sequence of discussions within the public domain. In order to gain a comprehensive understanding of the many actors involved and the process of discourse formation within the discussion, this study has undertaken the collection of 198 stakeholder statements as presented in articles published by national mass media outlets throughout the period spanning from January 2023 to June 2023. This statement mapped with the Discourse Coalition Framework (DCF) theory to find the network of discourse and ideas as the data that was subsequently subjected to analysis utilizing the Discourse Network Analysis. The findings of this study indicate that the discourse surrounding the subsidy program for electric vehicles gave rise to actor network groups that advocated investment and concerns related to environmental sustainability. The author examines the limitations to the interconnections between theoretical frameworks empirical evidence in shaping the discourse surrounding the dynamics of network politics in relation to electric vehicle subsidies in Indonesia.

Note: This article has supplementary file(s).

Fulltext View|Download |  Data Analysis
Actor Network Visualization
Subject Data Visualization using Visone Software
Type Data Analysis
  Download (655KB)    Indexing metadata
Keywords: Subsidies Policy; Electric Vehicles; Investment; Environmental Sustainability

Article Metrics:

  1. Araujo, K.M. (2023a) ‘A Roadmap For Concepts and Theory of Energy Transitions’, in K.M. Araujo (ed.) Routledge Handbook of Energy Transition. Routledge, pp. 21–39. Available at: https://doi.org/10.4324/9781003183020
  2. Araujo, K.M. (2023b) ‘The Evolving Field of Energy Transitions: A World of Change’, in K.M. Araujo (ed.) Routledge Handbook of Energy Transition. First. Routledge, pp. 1–17. Available at: https://doi.org/10.4324/9781003183020
  3. Badan Pemeriksa Keuangan (2004) Undang-undang No. 17 Tahun 2004, Database Peraturan. Available at: https://peraturan.bpk.go.id/Details/40514
  4. Chinda, T. (2022) ‘Long-term trend of electric vehicle sales in Thailand’, Engineering Management in Production and Services, 14(1), pp. 13–25. Available at: https://doi. org/10.2478/emj-2022-0002
  5. Doan, L. et al. (2019) What’s Behind the World’s Biggest Climate Victory? Capitalism, bloomberg.com. Available at: https://www.bloomberg.com/graphics/2019-can-renewable- energy-power-the-world/?leadSource=uverify wall#xj4y7vzkg
  6. Eriyanto (2020) Analisis Jaringan Media Sosial: Dasar-Dasar dan Aplikasi Metode SNA untuk Membedah Percakapan Media Sosial. Jakarta: Kencana
  7. Eriyanto (2022) ‘Konsep Dasar Analisis Jejaring Wacana’, in N. NM (ed.) Analisis Jejaring Wacana. First. Bandung: PT Remaja Rosdakarya, pp. 53–63
  8. Eriyanto, E. (2022) ‘Analisis Jejaring Wacana’, Rosda Karya [Preprint]
  9. Eriyanto, E. and Ali, D.J. (2020) ‘(2020). Discourse network of a public issue debate: A study on covid- 19 cases in Indonesia’, Jurnal Komunikasi: Malaysian Journal of Communication, 36(3), pp. 209–227
  10. Ghinoi, S. and Steiner, B. (2020) ‘The Political Debate on Climate Change in Italy: A Discourse Network Analysis’, Politics and Governance, 8(2), pp. 215–228. Available at: https://doi.org/10.17645/pag.v8i2.2577
  11. Guo, X. and Xiao, J. (2023) ‘Welfare analysis of the subsidies in the Chinese electric vehicle industry*’, Journal of Industrial Economics [Preprint], (February). Available at: https:// doi.org/10.1111/joie.12337
  12. Hajer, M.A. (2002) ‘Discourse Analysis and the Sudy of Policy Making’, European Political Science, 2(1), pp. 61–65. Available at: https://doi.org/10.1057/eps.2002.49
  13. Hajer, M.A. (2005) ‘Setting the Stage: A dramatury of policy deliberation’, Administration & Society, 36(6), pp. 624–647. Available at: https://doi.org/10.1177/0095399704270586. Hajer, M.A. (2006) Doing discourse analysis: Coalitions, practices, meaning. M. Van den, Words matter in policy and Planning: Discourse Theory and Method in the Social
  14. Sciences. M. Van den. Koninklijk Nederlands Aardrijkskundig Genootschap. IEA/OECD and IRENA (2017) ‘PERSPECTIVES FOR THE ENERGY: Investment Needs for a Low-Carbon Energy System’, Executive Summary [Preprint]. Available at: https:// www.irena.org/-/media/Files/IRENA/Agency/Publication/2017/Mar/Perspectives_for_ the_Energy_Transition_2017_Executive_Summary.pdf?la=en&hash=7FCE69C6C6
  15. EA63EBC400A85F1E0BEEBBC7A63E7
  16. Institute for Essential Services Reform (2023) Emission Reduction in Transportation, IESR
  17. Available at: https://iesr.or.id/en/emission-reduction-in-transportation
  18. Leifeld, P. (2016a) Discourse Network Analysis: Policy Debates as Dynamic Networks. The Oxford, The Oxford Handbook of Political Networks. The Oxford. Edited by J.N. Victor, A.H. Montgomery, and M. Lubell. Oxford Handbooks. Available at: https://
  19. doi.org/ https://doi.org/10.1093/oxfordhb/9780190228217.013.25
  20. Leifeld, P. (2016b) Policy Debates as Dynamic Networks: German Pension Politics and
  21. Privatization Discourse. Chicago University Press
  22. Leifeld, P. (2017) ‘Discourse Network Analysis: Policy Debates as Dynamic Networks’, in
  23. Oxford Handbook of Political Networks. Oxford: Oxford University Press, pp. 301–325. Leifeld, P. (2020) ‘Policy Debates and Discourse Network Analysis: A Research Agenda’, Politics and Governance, 8(2), pp. 180–183. Available at: https://doi.org/https://doi
  24. org/10.17645/pag.v8i2.3249. Leifeld,P.andHaunss,S.(2012)‘Politicaldiscoursenetworksandtheconflictoversoftware
  25. patents in Europe’, European Journal of Political Research, 51(3), pp. 382–409
  26. Available at: https://doi.org/https://doi.org/10.1111/j.1475-6765.2011.02003.x. McCulloh et al. (2013) Social Network Analysis with Application. New Jersey: Wiley
  27. Ministry of Energy and Mineral Resources (2022) Pemerintah Kenalkan GSEN pada Presidensi G20 Indonesia, esdm.go.id. Available at: https://www.esdm.go.id/En/Media- Center/News-Archives/Indonesia-To-Introduce-Grand-Energy-Strategy-During-G20- 2022#:~:Text=The indonesian government will use,Energy to ne
  28. Murdiyarso, D. (2004) ‘Implications of the Kyoto Protocol: Indonesia’s Perspective’, International Review for Environmental Strategies, 5(1), pp. 145–155. Available at: https://www.iges.or.jp/en/publication_documents/pub/peer/en/1162/IRES_Vol.5-1_145. pdf
  29. Nursulistyo, E.D., Aryani, Y.A. and Bandi, B. (2022) ‘The Disclosure of Carbon Emission in Indonesia: A Systematic Literature Review’, Jurnal Dinamika Akuntansi dan Bisnis, 10(1), pp. 1–18. Available at: https://doi.org/10.24815/jdab.v10i1.27974
  30. O’Connor, P.A. (2010) Energy Transitions, Science. 12. Available at: https://doi.org/10.1126/ science.207.4426.52
  31. Reuters Institute (2023) Indonesia. Available at: https://reutersinstitute.politics.ox.ac.uk/ Digital-News-Report/2023/Indonesia
  32. Rishanty, A. et al. (2022) Energy Transition: Prospect and Challenges At Asean Plus Three Countries. Available at: https://www.sciencedirect.com/science/article/abs/pii/ S2214629618312246
  33. Sahdarani, D.N., Ponka, M.A. and Oktaviani, A.D. (2020) ‘Geothermal Energy As An Alternative Source For Indonesia’s Energy Security: The Prospect And Challenges’, Journal of Strategic and Global Studies, 3(1). Available at: https://doi.org/10.7454/jsgs. v3i1.1024
  34. Scott, J. (2017) Social Network Analysis. Fourth. London: Sage Publications
  35. Thorne, Z. and Hughes, L. (2019) ‘Evaluating the Effectiveness of Electric Vehicle Subsidies
  36. in Canada’, Procedia Computer Science, 155, pp. 519–526
  37. Wallaschek, S., Starke, C. and Brüning, C. (2020) ‘Solidarity in the Public Sphere: A Discourse
  38. Network Analysis of German Newspapers (2008-2017)’, Politics and Governance, 8(2),
  39. pp. 257–271. Available at: https://doi.org/https://doi.org/10.17645/pag.v8i2.2609. Yin, R.K. (2003) Applications of Case Study Research. 2nd edn. Sage
  40. Yuniza, M.E., Pratama, I.W.B.E. and Ramadhaniati, R.C. (2021) ‘Indonesia’s incentive
  41. policies on electric vehicles: The questionable effort from the government’, International Journal of Energy Economics and Policy, 11(5), pp. 434–440. Available at: https://doi. org/10.32479/ijeep.11453

Last update:

  1. Electric Vehicle Adoption in Indonesia: Insights from Sentiment Analysis of Major News Portals

    Rahmat Taufik R.L Bau, A Hermila, Mukhlisulfatih Latief. 2024 International Conference on Data Science and Its Applications (ICoDSA), 2024. doi: 10.1109/ICoDSA62899.2024.10651692

Last update: 2024-11-21 08:45:16

No citation recorded.