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dc.contributor.advisorThomassen, Øyvind
dc.contributor.advisorCincotta, Costanza Maria Ludovica
dc.contributor.authorBilstad, Andreas Jensen
dc.contributor.authorBrutus, Lee
dc.date.accessioned2023-02-27T13:06:36Z
dc.date.available2023-02-27T13:06:36Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/11250/3054294
dc.description.abstractIn this master thesis, we have shown that building more chargers in a given year in a fylke or kommune does not result in a significant increase in the amount ofEVs bought in this year in this fylke or kommune after accounting for factors such as fast charging, accessibility, location of the chargers, size of the population and income. This result holds for both fylker and kommuner, even more so after accounting for heteroscedasticity and autocorrelation. We have also considered the impact that chargers built in the past, for example one year earlier, may have on the adoption of EVs in the year after. Taking this into account generates an explanatory variable that is statistically significant which indicates that past charging stations may be a better predictor of EVs bought in the future than chargers being made currently available. This has also helped to deal with reverse causality. This may to some extent help to alleviate the chicken and egg problem for policy makers wondering what comes first: The cars or the chargers. This result holds at both the kommune and fylke levels. However, after accounting for heteroscedasticity and autocorrelation, it only remains significant at the fylke level. This suggests that the fylke may be a better territorial unit to organize the charging network around in Norway than the kommune which makes sense given that the kommuner in Norway tend to be only sparsely populated in comparison to the fylker.en_US
dc.language.isoengen_US
dc.subjecteconomic analysisen_US
dc.titleTHE MORE, THE BETTER? Charging stations and EVs across fylker and kommuner : A Look at The Norwegian EV Market From 2014 2021en_US
dc.typeMaster thesisen_US
dc.description.localcodenhhmasen_US


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