Measuring the Effectiveness of Subsidy Policies in Increasing Electric Vehicle Sales in Indonesia: A Study Based on Sales Data of All Brands and Statistical Methods

Mengukur Efektivitas Kebijakan Subsidi dalam Meningkatkan Penjualan Mobil Listrik di Indonesia: Studi Berdasarkan Data Penjualan Semua Merek dan Metode Statistik

  • Nur Hidayah Universitas Negeri Jakarta
  • Achmad Rusdiana Universitas Negeri Jakarta
  • Andi Muhammad Sadat
Keywords: Subsidies, Electric Cars, Sales, Environmental Policies

Abstract

Indonesia's commitment to achieving net zero emissions by 2060 is marked by the issuance of Presidential Regulation No. 55/2019, updated by Presidential Regulation No. 79/2023, concerning the acceleration of the battery electric vehicle (BEV) program for road transportation. This policy includes incentives such as a 10 percent Value-Added Tax (VAT) exemption starting on April 1, 2023, for electric vehicles meeting a minimum Domestic Component Level (TKDN) requirement of 40 percent. Additionally, based on the Ministry of Home Affairs Regulation No. 1/2021, electric vehicles are subject to a tax of only 10 percent of the normal annual tax rate. This study uses sales data of all car brands in Indonesia from 2017 to April 2024 to analyze the impact of these policies. The statistical methods used include the Shapiro-Wilk normality test, the Mann-Whitney U test, and linear regression. The statistical analysis results indicate an increase in electric vehicle sales before and after the policy was implemented. Based on linear regression results, electric vehicle sales increased from 1,187 units per month before the policy to 1,877 units per month after the policy, representing an increase of 58.1 percent. Additionally, the number of electric vehicle models increased from 18 models in 2022 to 44 models in 2023 and 52 models in 2024. The conclusion of this study indicates that the electric vehicle subsidy policy has a significant impact on increasing electric vehicle sales, which is also reflected in the increased variety of electric vehicle models following the implementation of the policy.

References

Regulations

Minister of Finance Regulation (PMK) No. 8 of 2024 Concerning Value Added Tax on the Delivery of Certain Four-Wheeled Battery-Based Electric Motor Vehicles and Certain Battery-Based Electric Motor Buses Borne by the Government for the 2024 Fiscal Year.

Minister of Home Affairs Regulation No. 1 of 2021 Concerning the Calculation of the Tax Base for Motor Vehicles and Transfer of Motor Vehicle Title Fees for 2021.

Presidential Regulation of the Republic of Indonesia No. 55 of 2019 Concerning the Battery Electric Vehicle Program for Road Transportation.

Presidential Regulation of the Republic of Indonesia No. 79 of 2023 Concerning the Battery Electric Vehicle Program for Road Transportation.

Journals

Dwiananto, Y. I., Apriyanto, H., Soehadi, G., Hadiyati, N. A., Vitasari, A., Wiratmoko, A., Heldini, N., Suhendra, A., & Warseno. (2022). Modeling projection of the number of charging stations and battery electric vehicles until 2030 in Jakarta Indonesia in order to reduce greenhouse gas (GHG) emissions. IOP Conference Series: Earth and Environmental Science, 1108(1), 012024. https://doi.org/10.1088/1755-1315/1108/1/012024

Evans, R. (2023). Verifying model assumptions and testing normality. Veterinary Surgery, 53(1), 17–17. https://doi.org/10.1111/vsu.14034

Firmansyah, V., Adinarayana, M. K., Tetrisyanda, R., & Wibawa, G. (2023). Scenario of renewable energy transition from fossil energy resources towards net zero emission in Indonesia. E3S Web of Conferences, 467, 04005. https://doi.org/10.1051/e3sconf/202346704005

GAIKINDO. (2024). Gabungan Industri Kendaraan Bermotor Indonesia ( Data Penjualan Seluruh Merek Mobil ). The Association of Indonesia Automotive Industri. https://www.gaikindo.or.id/

Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505

Ibrahim Nur, A. (2022). The limits of Indonesia’s legal framework for electromobility: Regulatory and sustainable issues. Lentera Hukum, 9(2), 211. https://doi.org/10.19184/ejlh.v9i2.31200

Maghfiroh, M. F. N., Pandyaswargo, A. H., & Onoda, H. (2021). Current readiness status of electric vehicles in Indonesia: Multistakeholder perceptions. Sustainability, 13(23), 13177. https://doi.org/10.3390/su132313177

Palmer, K., Tate, J. E., Wadud, Z., & Nellthorp, J. (2018). Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan. Applied Energy, 209, 108–119. https://doi.org/10.1016/j.apenergy.2017.10.089

Pandyaswargo, A. H., Wibowo, A. D., Maghfiroh, M. F. N., Rezqita, A., & Onoda, H. (2021). The emerging electric vehicle and battery industry in Indonesia: Actions around the nickel ore export ban and a SWOT analysis. Batteries, 7(4), 80. https://doi.org/10.3390/batteries7040080

Pounds, S., & Rai, S. N. (2009). Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis. Computational Statistics & Data Analysis, 53(5), 1604–1612. https://doi.org/10.1016/j.csda.2008.05.010

Şatır, S., Özel, Ş., & Orhan, K. (2024). A potential novel technique for measurement of pulp volume on periapical radiography: A pilot study. The Kaohsiung Journal of Medical Sciences, 40(5), 499–505. https://doi.org/10.1002/kjm2.12814

Yang, J., Lin, Y., Wu, F., & Chen, L. (2019). Subsidy and pricing model of electric vehicle sharing based on two-stage stackelberg game – A case study in china. Applied Sciences, 9(8), 1631. https://doi.org/10.3390/app9081631

Published
2024-09-10
How to Cite
Hidayah, N., Achmad Rusdiana, & Andi Muhammad Sadat. (2024). Measuring the Effectiveness of Subsidy Policies in Increasing Electric Vehicle Sales in Indonesia: A Study Based on Sales Data of All Brands and Statistical Methods. International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM), 2(1), 1674 - 1684. https://doi.org/10.21009/ISC-BEAM.012.112