2021
DOI: 10.1016/j.eneco.2021.105396
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Distributional effects of carbon pricing in Brazil under the Paris Agreement

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Cited by 25 publications
(6 citation statements)
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“…a multi-regional computable general equilibrium (CGE) model to assess the impact of the carbon price on households in the Brazilian context. The authors concluded that further carbonintensive infrastructure investments could be prevented using carbon pricing [29]. On the other hand, a study on Malaysia has shown that carbon price effects are negligible on the country's economic activities.…”
Section: Literature Reviewmentioning
confidence: 99%
“…a multi-regional computable general equilibrium (CGE) model to assess the impact of the carbon price on households in the Brazilian context. The authors concluded that further carbonintensive infrastructure investments could be prevented using carbon pricing [29]. On the other hand, a study on Malaysia has shown that carbon price effects are negligible on the country's economic activities.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Their results indicate that redistribution of revenues from the carbon tax in the form of direct transfers to households reduces income inequality at both tax levels. Garaffa et al (2021) compares six alternative scenarios with the aid of a Computable General Equilibrium (CGE) model and finds that carbon pricing in Brazil leads to welfare losses in the absence of revenue recycling or even when carbon revenues are used to finance rebates on labor and on sales taxes.…”
Section: Financing Of Basic Incomementioning
confidence: 99%
“…While there is considerable debate about the best mechanism to reduce emissions under a climate policy (da Silva Freitas et al, 2016), there are only a few studies about carbon pricing schemes in the Brazilian case. A relevant portion of the literature refers to the distributional impacts of carbon pricing in Brazil, even though most studies do not focus on the energy system implications (Garaffa et al, 2021;Grottera et al, 2017;La Rovere et al, 2018;Moz-Christofoletti and Pereda, 2021;Wills et al, 2021).…”
Section: Literature Reviewmentioning
confidence: 99%