Determinants of electric vehicle adoption in Sweden
This thesis investigates the determinants of electric vehicle (EV) adoption in Sweden. A linear-logarithmic regression model is estimated on annual data from 2011 to 2020. In addition to a national level analysis, the thesis carried out separate analysis for the regions of Norrland, Götaland and Sve...
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| Formato: | M2 |
| Lenguaje: | Inglés |
| Publicado: |
SLU/Dept. of Economics
2022
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| Materias: |
| _version_ | 1855573015567269888 |
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| author | Barisa, Liga |
| author_browse | Barisa, Liga |
| author_facet | Barisa, Liga |
| author_sort | Barisa, Liga |
| collection | Epsilon Archive for Student Projects |
| description | This thesis investigates the determinants of electric vehicle (EV) adoption in Sweden. A linear-logarithmic regression model is estimated on annual data from 2011 to 2020. In addition to a national level analysis, the thesis carried out separate analysis for the regions of Norrland, Götaland and Svealand to find any regional differences. The results show that the average distance travelled is significant in every regression alongside fuel taxes. This finding has two policy implications: Expanding EV charging infrastructure to entice non EV drivers to adoption and increasing fuel taxes to reduce the relative operating costs of EVs. |
| format | M2 |
| id | RepoSLU18166 |
| institution | Swedish University of Agricultural Sciences |
| language | Inglés |
| publishDate | 2022 |
| publishDateSort | 2022 |
| publisher | SLU/Dept. of Economics |
| publisherStr | SLU/Dept. of Economics |
| record_format | eprints |
| spelling | RepoSLU181662022-08-25T01:00:32Z Determinants of electric vehicle adoption in Sweden Barisa, Liga EV adoption Technology Swedish environmental policies This thesis investigates the determinants of electric vehicle (EV) adoption in Sweden. A linear-logarithmic regression model is estimated on annual data from 2011 to 2020. In addition to a national level analysis, the thesis carried out separate analysis for the regions of Norrland, Götaland and Svealand to find any regional differences. The results show that the average distance travelled is significant in every regression alongside fuel taxes. This finding has two policy implications: Expanding EV charging infrastructure to entice non EV drivers to adoption and increasing fuel taxes to reduce the relative operating costs of EVs. SLU/Dept. of Economics 2022 M2 eng https://stud.epsilon.slu.se/18166/ |
| spellingShingle | EV adoption Technology Swedish environmental policies Barisa, Liga Determinants of electric vehicle adoption in Sweden |
| title | Determinants of electric vehicle adoption in Sweden |
| title_full | Determinants of electric vehicle adoption in Sweden |
| title_fullStr | Determinants of electric vehicle adoption in Sweden |
| title_full_unstemmed | Determinants of electric vehicle adoption in Sweden |
| title_short | Determinants of electric vehicle adoption in Sweden |
| title_sort | determinants of electric vehicle adoption in sweden |
| topic | EV adoption Technology Swedish environmental policies |