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'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'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'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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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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
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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