Estimating gasoline demand under electric vehicle adoption: A spatial model for Brazil
Field | Value | Language |
dc.contributor.author | Prolo, Sergio | |
dc.contributor.author | Pellegrini, Andrea | |
dc.contributor.author | Junior, Werner Kraus | |
dc.contributor.author | Coelhoc, Alexandre Hering | |
dc.contributor.author | Rose, John | |
dc.date.accessioned | 2025-04-29T02:24:58Z | |
dc.date.available | 2024-12-06T03:53:59Z | |
dc.date.available | 2025-04-29T02:24:58Z | |
dc.date.issued | 2024 | en_AU |
dc.identifier.uri | https://hdl.handle.net/2123/33407.2 | |
dc.description.abstract | We investigate gasoline demand growth in Brazil over a 16-year period, assessing its response to electric vehicle (EV) adoption and taxation measures. Using a spatial-based econometric model with data from 2006 to 2021 across all Brazilian states, we observe that annual gasoline sales nearly doubled from 2006 to 2014, reaching 0.22 m³ per capita, and then stabilized. Our model reveals that the EV motorization rate negatively impacts gasoline demand, with an elasticity of -0.126, compared to 0.609 for internal combustion engine vehicles. The results show that aggressive fuel taxation alone is insufficient to achieve long-term reductions in demand. However, fleet electrification is more effective, potentially reducing per capita gasoline consumption by 90% between 2021 and 2034. A combined approach integrating taxation and electrification offers the most efficient pathway for reducing demand while generating revenue for public investment in Brazil’s transition to a carbonfree transportation sector. | en_AU |
dc.language.iso | en | en_AU |
dc.publisher | The University of Sydney | en_AU |
dc.rights | Copyright All Rights Reserved | en_AU |
dc.subject | Electric vehicles | en_AU |
dc.subject | Gasoline consumption | en_AU |
dc.subject | Fuel taxation | en_AU |
dc.subject | Spatial econometrics | en_AU |
dc.subject | Energy policy | en_AU |
dc.subject | Sustainable development | en_AU |
dc.title | Estimating gasoline demand under electric vehicle adoption: A spatial model for Brazil | en_AU |
dc.type | Working Paper | en_AU |
dc.subject.asrc | ANZSRC FoR code::35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES::3509 Transportation, logistics and supply chains | en_AU |
usyd.faculty | SeS faculties schools::The University of Sydney Business School::Institute of Transport and Logistics Studies (ITLS) | en_AU |
workflow.metadata.only | No | en_AU |
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