Marina Povitkina, Sverker C. Jagers, Simon Matti, Johan Martinsson
{"title":"Why are carbon taxes unfair? Disentangling public perceptions of fairness","authors":"Marina Povitkina, Sverker C. Jagers, Simon Matti, Johan Martinsson","doi":"10.2139/SSRN.3789927","DOIUrl":null,"url":null,"abstract":"In order to reach climate goals, governments need to gain support from their voters for the \nnecessary policy interventions, such as carbon dioxide taxes. Previous research concludes that \npeople often do not support and legitimize such taxes because they perceive them as unfair. \nHowever, the notion of fairness implies a multitude of factors and we currently lack an \nunderstanding of what people mean when they regard carbon taxes as unfair. In this article, we \nthoroughly investigate this problem by using original survey data from YouGov collected in \nthe US in 2018 and analyzing open-ended survey responses on why people think carbon taxes \nare unfair. Applying structural text modeling, we unpack the multi-dimensional meaning of \nunfairness, as perceived by the US population. Results from our analysis help provide a more \nnuanced policy design to address fairness concerns related to carbon taxes.","PeriodicalId":21855,"journal":{"name":"SSRN Electronic Journal","volume":"31 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SSRN Electronic Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/SSRN.3789927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
In order to reach climate goals, governments need to gain support from their voters for the
necessary policy interventions, such as carbon dioxide taxes. Previous research concludes that
people often do not support and legitimize such taxes because they perceive them as unfair.
However, the notion of fairness implies a multitude of factors and we currently lack an
understanding of what people mean when they regard carbon taxes as unfair. In this article, we
thoroughly investigate this problem by using original survey data from YouGov collected in
the US in 2018 and analyzing open-ended survey responses on why people think carbon taxes
are unfair. Applying structural text modeling, we unpack the multi-dimensional meaning of
unfairness, as perceived by the US population. Results from our analysis help provide a more
nuanced policy design to address fairness concerns related to carbon taxes.