气候变化领域集成服务门户(CCPortal): Public views on carbon taxation and its fairness: a computational-linguistics analysis

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DOI	10.1007/s10584-020-02842-y
	Public views on carbon taxation and its fairness: a computational-linguistics analysis
	Savin I.; Drews S.; Maestre-Andrés S.; van den Bergh J.
发表日期	2020
ISSN	0165-0009
起始页码	2107
结束页码	2138
卷号	162 期号:4
英文摘要	Carbon taxes evoke a variety of public responses, often with negative implications for policy support, implementation, and stringency. Here we use topic modeling to analyze associations of Spanish citizens with a policy proposal to introduce a carbon tax. This involves asking two key questions, to elicit (1) citizens’ associations with a carbon tax and (2) their judgment of the fairness of such a policy for distinct uses of tax revenues. We identify 11 topics for the first question and 18 topics for the second. We perform regression analysis to assess how respondents’ associations relate to their carbon tax acceptability, knowledge, and sociodemographic characteristics. The results show that, compared to people accepting the carbon tax, those rejecting it show less trust in politicians, think that the rich should pay more than the poor, consider the tax to be less fair, and stress more a lack of renewable energy or low-carbon transport. Respondents accepting a carbon tax emphasize more the need to solve environmental problems and care about a just society. These insights can help policymakers to improve the design and communication of climate policy with the aim to increase its public acceptability. © 2020, Springer Nature B.V.
英文关键词	Carbon pricing; Fairness perception; Policy acceptability; Public opinion; Structural topic modeling
语种	英语
scopus关键词	Carbon; Emission control; Regression analysis; Taxation; Carbon taxation; Environmental problems; Low carbon transport; Policy support; Public acceptabilities; Renewable energies; Socio-demographic characteristics; Topic Modeling; Economic analysis; alternative energy; environmental economics; environmental policy; language; perception; political discourse; pollution tax; regression analysis; Spain
来源期刊	Climatic Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147011
作者单位	ICTA, Edifici Z, UAB Campus, Bellaterra, Barcelona, 08193, Spain; Graduate School of Economics and Management, Ural Federal University, Yekaterinburg, Russian Federation; Institute of Environmental Science and Technology, Universitat Autònoma de Barcelona, Barcelona, Spain; ICREA, Barcelona, Spain; School of Business and Economics & Institute for Environmental Studies, VU University Amsterdam, Amsterdam, Netherlands
推荐引用方式 GB/T 7714	Savin I.,Drews S.,Maestre-Andrés S.,et al. Public views on carbon taxation and its fairness: a computational-linguistics analysis[J],2020,162(4).
APA	Savin I.,Drews S.,Maestre-Andrés S.,&van den Bergh J..(2020).Public views on carbon taxation and its fairness: a computational-linguistics analysis.Climatic Change,162(4).
MLA	Savin I.,et al."Public views on carbon taxation and its fairness: a computational-linguistics analysis".Climatic Change 162.4(2020).