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Analyzing sentiments and attitudes toward carbon taxation in Europe, USA, South Africa, Canada and Australia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441568" target="_blank" >RIV/00216208:11320/21:10441568 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qMDGSs2bxI" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qMDGSs2bxI</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.spc.2021.04.010" target="_blank" >10.1016/j.spc.2021.04.010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analyzing sentiments and attitudes toward carbon taxation in Europe, USA, South Africa, Canada and Australia

  • Original language description

    Carbon taxation is an effective emission reduction policy but it is unpopular, and little is known why people oppose it. In response to the lack of timely updates on people&apos;s perceptions of the issue at hand, this study uses a sample of Twitter data to discover the underlying factors of discourses related to carbon taxes. The bisecting k-means algorithm and correspondence analysis are used to cluster tweets based on keywords that symbolize people&apos;s attitudes. The results show that the main driving factors for attitudes towards carbon taxes are trust in the government, Education, and the perceptions of taxation&apos;s impact on individuals and businesses. The estimated importance of these factors are 35%, 24%, 22%, 17% respectively. Sentiment analysis reveals the negative emotions towards carbon taxes in most of the studied countries regardless of whether the policy has been implemented or not. The sentiments toward the factors are also negative. In addition, we found a positive correlation between attitudes towards these factors and attitudes towards carbon taxation. The correlation degree is consistent with the results of the correspondence analysis. The sentiments toward these taxes worsen in countries where the perceived cost on individuals and businesses is higher and trust in government is lower. Our study points out the importance of social media as a real-time source of data for environmental policy input and proves the need for better citizen consultation and interest assurance before introducing carbon taxation. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sustainable Production and Consumption [online]

  • ISSN

    2352-5509

  • e-ISSN

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    říjen 2021

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    241-253

  • UT code for WoS article

    000682955300019

  • EID of the result in the Scopus database

    2-s2.0-85105695448