Rekomendasi Rancangan Insentif Pembelian Dan Pajak Untuk Adopsi Battery Electric Vehicle (BEV) Di Indonesia

Ariyani, Resya (2023) Rekomendasi Rancangan Insentif Pembelian Dan Pajak Untuk Adopsi Battery Electric Vehicle (BEV) Di Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Aktvitas transportasi adalah 90% kontributor emisi di Indonesia sesuai dengan yang dinyatakan oleh IESR. Indonesia memiliki target untuk melimitasi kenaikan suhu di bawah 1.50C sesuai dengan Perjanjian Paris. Salah satu cara yang dapat dilakukan adalah membatasi emisi gas rumah kaca. Kendaraan listrik adalah teknologi transportasi yang mampu menggantikan kendaraan minyak. Selain itu, ketergantungan suatu negara akan minyak akan menurun sehingga lebih tahan akan kedinamisan harga minyak. Itulah alasan mengapa banyak negara mulai mengadopsi kendaraan listrik termasuk Indonesia. Oleh karena itu, disarankan Indonesia mendesain kebijakan untuk meningkatkan ketertarikan masyarakat dalam menggunakan kendaraan listrik. Tugas akhir ini akan mengidentifikasi dan membandingkan desain insentif yang telah diimplementasikan di beberapa negara sebagai dasar pembuatan rekomendasi untuk kebijakan di Indonesia. Penelitian ini menggunakan DEA (Data Envelopmet Analysis) sebagai metodologi untuk membandingkan efisiensi kebijaan setiap negar dalam adopsi kendaraan listrik. Penelitian ini akan berfokus pada kebijakan strategis yang dapat diukur secara kuantitatif. Hasil akhir penelitian ini adalah menentukan negara dengan efisiensi kebijakan terbaik dan merekomendasikan desain insentif untuk Indonesia. Kata Kunci: Rekomendasi Insentif, Kendaraan Listrik, Analisis Komparasi, Data Envelopment Analysis (DEA)
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Transportation activities has the contributor in Indonesia emission by the percentage of 90% as what stated by IESR. At the same time, Indonesia has targets to limit its rising temperatures under 1.50C as stated in the Paris Agreement. One of the way to abide this rule is by limit the emission level as it cause greenhouse gas emissions. Electric vehicle is one of transportation technology in which it able to replace fossil fuels to electricity as the fuels of vehicles. By replacing fossil fuels in vehicle, the emission level in transportation activities can be reduced. In addition, the dependency of a country to fossil fuels can also be decreased thus the country can be more resistant to fossil fuels price fluctuations. Those are the reasons why countries have started to boost electric vehicle adoption including Indonesia. It is suggested for the government to design policies in which able to increase society willingness to use electric vehicles. This research aims to identify and compare incentives design which has been implemented in several countries to boost electric vehicle adoption and further become the benchmark for Indonesia. This research will utilize DEA (Data Envelopment Analysis) as a tool to compare each country policy efficiency in terms of electric vehicle adoption. As this study focus on strategic fiscal policies, it is expected that the relations between ratio of electric vehicle and allocation of fiscal policies from government can be grasp, in other words, the efficiency of the incentives design can be calculated. This will be the basis for determining which country has the best practices and what kind of incentives design will be recommended for Indonesia. Keywords: Incentives Recommendation, Electric Vehicle, Comparative Analysis, Data Envelopment Analysis (DEA)

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Insentif, Kendaraan Listik Berbahan Bakar Baterai, Analisis Komparasi; Incentives Recommendation, Electric Vehicle, Comparative Analysis, Data Envelopment Analysis (DEA), Rekomendasi
Subjects:	H Social Sciences > HA Statistics > HA31.38 Data envelopment analysis. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Resya Ariyani
Date Deposited:	21 Aug 2023 08:54
Last Modified:	21 Aug 2023 08:54
URI:	http://repository.its.ac.id/id/eprint/104272

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