Investigating policies on increasing the adoption of electric vehicles in Indonesia

Setiawan, Andri D.; Zahari, Teuku Naraski; Purba, Fara Jetira; Moeis, Armand Omar; Hidayatno, Akhmad

doi:10.1016/j.jclepro.2022.135097

Cited by 33 publications

(17 citation statements)

References 75 publications

(124 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All of the PHIFs produced positive impacts on the WAELV, except for CCELV, which was the only factor found to have a negative effect. These findings are comparable to those of Setiawan et al [36], who discovered the negative influence of ELV taxation on ELV adoption amongst Indonesian consumers. In parallel, Paradies et al [37] also determined the high price of ELVs as a barrier to their adoption; however, they further observed that this barrier would be less intensive by 2030.…”

Section: Structural Model Results and Discussionsupporting

confidence: 88%

“…According to Qian and Yin [35], one of the primary challenges to embracing ELVs is the high capital cost of such innovations. Setiawan et al [36] made use of the causal loop diagrammatic framework to examine the socioeconomic factors of ELV acceptance in Indonesia. They discovered that high taxation on ELVs impeded their acceptance.…”

Section: Capital Cost Of Elvs (Ccelv)mentioning

confidence: 99%

See 1 more Smart Citation

Heterogeneous Factors Influencing Electric Vehicle Acceptance: Application of Structural Equation Modeling

Guo

Huang²,

Chen³

et al. 2023

WEVJ

View full text Add to dashboard Cite

Since electric vehicle (ELV) deployment can contribute to overall renewable energy sources, exploration of the heterogeneous influence factors (HIFs) affecting the willingness to accept ELVs can assist in the realization of sustainable development goals, particularly universal access to affordable energy for all. In this research, we explored the HIFs that influence the willingness of individuals to accept ELVs (WAELV) within an integrated decision-making (IDM) framework. We established the IDM conceptual framework through the incorporation of HIFs, notably including the environmental and health benefits of ELVs, knowledge about innovation, and the benefits regarding the built environment and creating a comprehensive structure. We analyzed data gathered through questionnaires from urban and peri-urban areas of the Shandong province (China) by employing the partial least square structural equation modeling technique, which is an appropriate tool for analyzing data measured on a Likert scale. The key findings were as follows. Firstly, the capital cost of ELVs was found to be a significant barrier to the WAELV of individuals. Secondly, among other factors, the societal aspect of ELVs and the environmental awareness aspect were drivers of the WAELV of individuals across all the data samples. However, benefits for the built environment, knowledge about innovation, and the environmental and health benefits of ELVs only positively drove the WAELV of individuals in the urban setting and for the overall sample. Thirdly, these three HIFs were identified as neutral factors in the peri-urban areas. Thus, a clear disparity was detected between the urban and peri-urban areas in terms of factors influencing the WAELV of individuals. Finally, the social aspect of ELVs was revealed as the strongest driver, while benefits for the built environment turned out to be the weakest factor. Based on these findings, some crucial policies are here extracted.

show abstract

Section: Structural Model Results and Discussionsupporting

confidence: 88%

Section: Capital Cost Of Elvs (Ccelv)mentioning

confidence: 99%

Heterogeneous Factors Influencing Electric Vehicle Acceptance: Application of Structural Equation Modeling

Guo

Huang²,

Chen³

et al. 2023

WEVJ

View full text Add to dashboard Cite

show abstract

“…At the United Nations Conference 2015, Indonesia committed to reducing CO2 emissions by 29% by 2030 [5]. This encourages the Indonesian Government to make electric vehicles one of the priorities of the transportation sector [6]. In Indonesia's Automotive Industry 4.0 roadmap submitted by the Ministry of Industry [7], the Government sets out plans to halt the growth in the number of fossil fuel-based vehicles while building the necessary infrastructure, providing incentives for electric vehicle adoption and including an essential target to be achieved by 2025.…”

Section: Fig 2 Cost Efficiency Per Km By Type Of Energy Sourcementioning

confidence: 99%

“…In Indonesia's Automotive Industry 4.0 roadmap submitted by the Ministry of Industry [7], the Government sets out plans to halt the growth in the number of fossil fuel-based vehicles while building the necessary infrastructure, providing incentives for electric vehicle adoption and including an essential target to be achieved by 2025. However, there seem to be some challenges to achieving those targets [6], [8] The first challenge is related to the demand side. Globally, Electric vehicles in 2016 only reached a global market share of 0.2%, with accumulated sales of 3 million units in 2017, while the sales target reached 11 million units by 2020 [9].…”

Section: Fig 2 Cost Efficiency Per Km By Type Of Energy Sourcementioning

confidence: 99%

Success Factors of Electric Vehicle Commercialization: A Literature Review

Two,

Gunarta,

Dana

2023

E3S Web of Conf.

View full text Add to dashboard Cite

The sales growth of motorcycles in Indonesia is increasing. It has reached 120 million units in 2022. It shows that the automotive industry in Indonesia has very high economic potential. However, the increasing number of vehicles can cause new problems related to the environment. Most motorized vehicles in Indonesia use non-renewable energy, such as fossil fuels. Since fossil fuels have a negative impact on the environment, electric-powered vehicles are introduced. Local Indonesian manufacturers have had electric motorbikes since 2018. However, the number of sales of electric motorbikes in Indonesia is still far from the target set by the Government. One obstacle in achieving electric motorcycles' sales target is readiness for product commercialization. Multiple factors influence the success of product commercialization. Indonesia's ability to manufacture and sell products of interest to the public plays an essential role in the success of the commercialization of electric motorbikes. The right commercialization strategy can encourage local electric motorcycle manufacturers to compete with non-local producers. Therefore, this study aims to explore future research opportunities related to success factors and obstacles to the commercialization of electric motorcycles. The survey results show that fuel cells, batteries, energy storage systems, charging infrastructure, durability, cost, and innovation are often discussed in previous studies related to commercialization.

show abstract

“…On the other hand, Indonesia's power sector still heavily relies on coal, thus EV use does not necessarily lower emissions [17]. Moreover, Indonesia's biofuel is almost entirely oil palm biodiesel, which has different physical and chemical properties from other countries biofuel made from sugar cane, corn, rapeseed, and others [18].…”

Section: Introductionmentioning

confidence: 99%

Projection of Carbon Emissions from the Diesel, Biodiesel, and Battery Electric Vehicle in Indonesia: A Policy Scenario Analysis for Decarbonization of Transportation Sector

Rahmaditio,

Gardian

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The Indonesian government is intensifying the mandatory biodiesel program to achieve the carbon emission reduction target. Although the emissions from the use of biodiesel are lower than diesel, its rapid development has raised concerns about other environmental issues, such as deforestation, hydrological disturbances, and biodiversity. At the same time, the global trend of electric cars offers a new alternative to the decarbonization of the transportation sector. Therefore, this study aims to compare the carbon emission reduction of biodiesel and electric vehicle policy scenarios. The baseline scenario is defined as full usage of diesel. The projection is conducted until 2060 using a model built with Vensim software. As a result, the biodiesel program with a 30% blending rate (B30) only reduced carbon emissions by 6.14 and 11.26 million tons in 2030 and 2060, respectively. Higher emissions reduction can be achieved by increasing the blending rate to 50% and 100%. On the other hand, emission reduction from electric vehicles program is very dependent on the energy mix of electricity generation. Under the 2021–2030 National Electricity Supply Business Plan (RUPTL) target, the electric vehicle scenario would produce higher emissions than the baseline scenario. However, there is a potential emission reduction of up to three times larger than B100 by the electric vehicle (EV) scenario if the EV transition is accompanied by an ambitious energy transition.

show abstract

Investigating policies on increasing the adoption of electric vehicles in Indonesia

Cited by 33 publications

References 75 publications

Heterogeneous Factors Influencing Electric Vehicle Acceptance: Application of Structural Equation Modeling

Heterogeneous Factors Influencing Electric Vehicle Acceptance: Application of Structural Equation Modeling

Success Factors of Electric Vehicle Commercialization: A Literature Review

Projection of Carbon Emissions from the Diesel, Biodiesel, and Battery Electric Vehicle in Indonesia: A Policy Scenario Analysis for Decarbonization of Transportation Sector

Contact Info

Product

Resources

About