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Название: Biased perceptions of other people's attitudes to carbon taxation
Авторы: Drews, S.
Savin, I.
van den Bergh, J. C. J. M.
Дата публикации: 2022
Издатель: Elsevier Ltd
Библиографическое описание: Drews S. Biased perceptions of other people's attitudes to carbon taxation / S. Drews, I. Savin, J. C. J. M. van den Bergh // Energy Policy. — 2022. — Vol. 167. — 113051.
Аннотация: Beliefs about other people's opinions on climate change influence one's own opinion. Such beliefs can, however, suffer from biases in perception. Using two nationally representative surveys, we examine this issue in a new context, namely of carbon-tax acceptance in Spain. We find that the more one expects the tax to be accepted by others, the more one accepts it personally. But opponents of a carbon tax tend to strongly overestimate the prevalence of their opinion, i.e. they exhibit a so-called false consensus effect. In contrast, despite holding the majority view, tax supporters somewhat underestimate the prevalence of their own view, which is known as pluralistic ignorance. We further test the role of information provision by providing participants with different percentages of people accepting the tax. Overall, we find little evidence that such information provision significantly increases tax acceptance. The impact of information provision on tax acceptance tends to be moderated by the degree of false consensus. © 2022 Elsevier Ltd
Ключевые слова: CARBON PRICING
FALSE CONSENSUS
PLURALISTIC IGNORANCE
POLICY SUPPORT
SECOND-ORDER BELIEFS
CARBON
CLIMATE CHANGE
COSTS
A-CARBON
CARBON PRICING
CARBON TAXATION
CARBON TAXES
FALSE CONSENSUS
INFORMATION PROVISION
PLURALISTIC IGNORANCE
POLICY SUPPORT
SECOND ORDERS
SECOND-ORDER BELIEF
TAXATION
CLIMATE CHANGE
EMISSIONS TRADING
PERCEPTION
POLLUTION POLICY
POLLUTION TAX
PUBLIC ATTITUDE
VIEW
SPAIN
URI: http://elar.urfu.ru/handle/10995/118178
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85131439046
Идентификатор WOS: 000814664300002
Идентификатор PURE: 30382052
ISSN: 3014215
DOI: 10.1016/j.enpol.2022.113051
Сведения о поддержке: European Research Council, ERC; Ministerio de Ciencia e Innovación, MICINN; Russian Science Foundation, RSF: 19-18-00262; Horizon 2020: 741087
This work was funded by an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme [grant agreement n° 741087 ] and by a María de Maeztu Program for Units of Excellence awarded to ICTA-UAB by the Spanish Ministry of Science and Innovation . I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262 ].
Карточка проекта РНФ: 19-18-00262
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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