2019
DOI: 10.1007/s10640-018-00317-4
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Labor Market Distortions and Welfare-Decreasing International Emissions Trading

Abstract: Using a multi-region, multi-sector computable general equilibrium model, this paper analyzes the effects of international emissions trading (IET) with a focus on labor market distortions. We construct four separate models with several different labor market specifications: (1) a model without labor market distortions; (2) a model with taxinteraction effects in the labor market; (3) a model with a minimum wage; and (4) a model in which a wage curve determines wages. We use these models to analyze how the effect… Show more

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Cited by 8 publications
(6 citation statements)
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References 22 publications
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“…The main challenge is to find the main triggers and drivers of this impact, and exactly in this is the initial research question [3]. The diversity of the opinions spills over into intermediaries, such as the source of energy [4].…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…The main challenge is to find the main triggers and drivers of this impact, and exactly in this is the initial research question [3]. The diversity of the opinions spills over into intermediaries, such as the source of energy [4].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In its turn, the Granger causality test performed on the panel data shows the presence of a bilateral relationship between economic growth and energy use by biodiesel transport, and also between the economic growth and energy consumption of bioethanol transport [20][21][22]. The effects of international emissions trading (IET) were also assessed (i.e., Takeda et al (2019). Thus, Takeda et al (2019) have proven that there is a possibility of welfare losses from IET, and it is not small at all for the exporters of permits [4].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…We use a simulation approach based on a CGE model. Our model is an extension of the model used in Takeda et al (2012Takeda et al ( , 2014Takeda et al ( , 2019. It is a multiregion model based on the GTAP9 dataset (Aguiar et al 2016), and we aggregate original regions and sectors in GTAP data into 15 regions and 11 sectors in Tables 1 and 2.…”
Section: Model and Datamentioning
confidence: 99%
“…[ 27 ]. Takeda et al [ 28 ] found that if immigrants are in a perfectly competitive market in the immigrant region, the human capital level directly determines how much economic success immigrants can achieve. Social capital factors raise the level and angle of analysis to the level of social relations and social networks of individuals compared with human capital factors, and social capital factors include social relations, social networks, and social resources, etc.…”
Section: Introductionmentioning
confidence: 99%