{"id":{"repo_id":"uiii","oai_identifier":"oai:repository.uiii.ac.id:20.500.14576/657"},"canonical_url":"https://search.dev.ndltd.org/etd/uiii/oai:repository.uiii.ac.id:20.500.14576/657","repository":{"repo_id":"uiii","name":"Universitas Islam Internasional Indonesia","base_url":"https://api-repository.uiii.ac.id/server/oai/request"},"display":{"title":"A system dynamics modeling of incentive policies to increase electric vehicle adoption in Indonesia","abstract":"Indonesia's electric vehicle (EV) adoption remains limited despite various government incentives. This study employs system dynamics modeling to evaluate the effectiveness of fiscal policies, such as purchase subsidies, VAT reductions, electricity incentives, and infrastructure support, in accelerating EV adoption and reducing carbon emissions. The model consists of three interconnected subsystems: fiscal budget (APBN), EV adoption behavior, and carbon emission mitigation. Simulation results show that purchase subsidies and VAT incentives significantly increase EV uptake, especially in the motorcycle segment. However, when electricity tariff incentives are introduced in 2026, public purchasing intention grows more sharply, demonstrating that bundled policies are more effective. The model also reveals long-term fiscal pressure as a limiting factor, and emphasizes that EV adoption alone cannot significantly reduce national emissions without decarbonizing the electricity grid. This research highlights the importance of integrated policy strategies combining fiscal, infrastructure, and behavioral interventions. It offers a systems-based perspective for designing sustainable and inclusive EV transition policies in Indonesia.","abstract_html":"Indonesia's electric vehicle (EV) adoption remains limited despite various government incentives. This study employs system dynamics modeling to evaluate the effectiveness of fiscal policies, such as purchase subsidies, VAT reductions, electricity incentives, and infrastructure support, in accelerating EV adoption and reducing carbon emissions. The model consists of three interconnected subsystems: fiscal budget (APBN), EV adoption behavior, and carbon emission mitigation. Simulation results show that purchase subsidies and VAT incentives significantly increase EV uptake, especially in the motorcycle segment. However, when electricity tariff incentives are introduced in 2026, public purchasing intention grows more sharply, demonstrating that bundled policies are more effective. The model also reveals long-term fiscal pressure as a limiting factor, and emphasizes that EV adoption alone cannot significantly reduce national emissions without decarbonizing the electricity grid. This research highlights the importance of integrated policy strategies combining fiscal, infrastructure, and behavioral interventions. It offers a systems-based perspective for designing sustainable and inclusive EV transition policies in Indonesia.","abstract_has_math":false,"creators":["Fuad Muhamad Fahrudin"],"institution":"Universitas Islam Internasional Indonesia","degree_name":"M.P.P., Public Policy","degree_level":"Master of Public Policy","degree_discipline":"Public Policy","degree_department":null,"school":null,"contributors":[],"advisors":["Muhammad Al Atiqi","Guild, James Jordan"],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-07-29","date_published":"2025-07-29","updated_at":"2026-07-27T21:43:36Z","subjects":["Electric vehicles","Incentive policy","System dynamics","Carbon emission","Fiscal sustainability","Indonesia"],"languages":["en"],"rights":["All Rights Reserved"],"rights_urls":["https://www.rioxx.net/licenses/all-rights-reserved/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14576/657","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Muhammad Al Atiqi","Guild, James Jordan"]},{"key":"dc:creator","label":"Author","values":["Fuad Muhamad Fahrudin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-10-15T09:36:40Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-07-29"]},{"key":"dc:publisher","label":"Institution","values":["Universitas Islam Internasional Indonesia"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Public Policy"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master of Public Policy"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.P.P., Public Policy"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Faculty of Social Sciences"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electric vehicles","Incentive policy","System dynamics","Carbon emission","Fiscal sustainability","Indonesia"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["All Rights Reserved"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://www.rioxx.net/licenses/all-rights-reserved/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.14576/657"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Indonesia's electric vehicle (EV) adoption remains limited despite various government incentives. This study employs system dynamics modeling to evaluate the effectiveness of fiscal policies, such as purchase subsidies, VAT reductions, electricity incentives, and infrastructure support, in accelerating EV adoption and reducing carbon emissions. The model consists of three interconnected subsystems: fiscal budget (APBN), EV adoption behavior, and carbon emission mitigation. Simulation results show that purchase subsidies and VAT incentives significantly increase EV uptake, especially in the motorcycle segment. However, when electricity tariff incentives are introduced in 2026, public purchasing intention grows more sharply, demonstrating that bundled policies are more effective. The model also reveals long-term fiscal pressure as a limiting factor, and emphasizes that EV adoption alone cannot significantly reduce national emissions without decarbonizing the electricity grid. This research highlights the importance of integrated policy strategies combining fiscal, infrastructure, and behavioral interventions. It offers a systems-based perspective for designing sustainable and inclusive EV transition policies in Indonesia."]},{"key":"dc:title","label":"Title","values":["A system dynamics modeling of incentive policies to increase electric vehicle adoption in Indonesia"]}]}],"canonical_facts":{"dc:contributor.advisor":["Muhammad Al Atiqi","Guild, James Jordan"],"dc:creator":["Fuad Muhamad Fahrudin"],"dc:date.accessioned":["2025-10-15T09:36:40Z"],"dc:date.issued":["2025-07-29"],"dc:description.abstract":["Indonesia's electric vehicle (EV) adoption remains limited despite various government incentives. This study employs system dynamics modeling to evaluate the effectiveness of fiscal policies, such as purchase subsidies, VAT reductions, electricity incentives, and infrastructure support, in accelerating EV adoption and reducing carbon emissions. The model consists of three interconnected subsystems: fiscal budget (APBN), EV adoption behavior, and carbon emission mitigation. Simulation results show that purchase subsidies and VAT incentives significantly increase EV uptake, especially in the motorcycle segment. However, when electricity tariff incentives are introduced in 2026, public purchasing intention grows more sharply, demonstrating that bundled policies are more effective. The model also reveals long-term fiscal pressure as a limiting factor, and emphasizes that EV adoption alone cannot significantly reduce national emissions without decarbonizing the electricity grid. This research highlights the importance of integrated policy strategies combining fiscal, infrastructure, and behavioral interventions. It offers a systems-based perspective for designing sustainable and inclusive EV transition policies in Indonesia."],"dc:identifier.uri":["https://hdl.handle.net/20.500.14576/657"],"dc:language.iso":["en"],"dc:publisher":["Universitas Islam Internasional Indonesia"],"dc:rights":["All Rights Reserved"],"dc:rights.uri":["https://www.rioxx.net/licenses/all-rights-reserved/"],"dc:subject":["Electric vehicles","Incentive policy","System dynamics","Carbon emission","Fiscal sustainability","Indonesia"],"dc:title":["A system dynamics modeling of incentive policies to increase electric vehicle adoption in Indonesia"],"dc:type":["Thesis"],"thesis:degree_discipline":["Public Policy"],"thesis:degree_level":["Master of Public Policy"],"thesis:degree_name":["M.P.P., Public Policy"],"thesis:institution_name":["Faculty of Social Sciences"]},"updated_at":"2026-07-27T21:43:36Z"}