2016
DOI: 10.1080/1540496x.2016.1152801
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A CGE Analysis of the Impacts of a Carbon Tax on Provincial Economy in China

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Cited by 48 publications
(17 citation statements)
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“…Similarly, the relationship between CO 2 emissions and the three measures of energy tax (epx, erx, eyx) is negative and statistically significant where a 1% increase in energy tax decreases CO 2 emissions between 0.112 and 0.140%. Our evidence is in line with Lu et al (2010); Guo et al (2014); Xu and Long (2014); Yang et al (2014); Zhang et al (2016) who found that environmental taxes can reduce carbon emissions. Our evidence is also in line with Hashmiand and Alam (2019) who found that a 1% increase in environmental tax revenue per capita reduces CO 2 emissions by 0.033% in OECD countries.…”
Section: Panel Long-run Estimatessupporting
confidence: 91%
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“…Similarly, the relationship between CO 2 emissions and the three measures of energy tax (epx, erx, eyx) is negative and statistically significant where a 1% increase in energy tax decreases CO 2 emissions between 0.112 and 0.140%. Our evidence is in line with Lu et al (2010); Guo et al (2014); Xu and Long (2014); Yang et al (2014); Zhang et al (2016) who found that environmental taxes can reduce carbon emissions. Our evidence is also in line with Hashmiand and Alam (2019) who found that a 1% increase in environmental tax revenue per capita reduces CO 2 emissions by 0.033% in OECD countries.…”
Section: Panel Long-run Estimatessupporting
confidence: 91%
“…In contrast to the above, Hao et al (2018) and Zhang et al (2016) found that environmental regulations were not effective in reducing pollution in China. Equally, Li (2019) also found that environmental regulations did not promote technical progress in the Chinese industrial sector.…”
Section: Environmental Policy Stringency and Environmental Degradationmentioning
confidence: 76%
“…For instance, Zhang et al [12] analyzed the influences of different carbon taxes (20 yuan/t, 40 yuan/t, 60 yuan/t) on Henan, Fujian, and Chongqing provinces, and proposed two compensation plans, compensating residents' income and reducing enterprises' indirect tax. Lu et al [13] established the CGE model based on the data from China's input-output table in 2010, and forecasted the influences of tax rate, respectively, at 50 yuan/t, 100 yuan/t, 200 yuan/t, and 300 yuan/t on the economy.…”
Section: Introductionmentioning
confidence: 99%
“…Given the power and flexibility that CGE methods provide, they have been used since the 1990s to study the DD hypothesis with different kind of taxes on different economic systems, including carbon taxes. Jorgenson et al (2013) found a DD for the United States by recycling revenues from a carbon tax into capital taxes; Meng et al (2013) found no DD for Australia for a carbon tax; Allan et al (2014) found a DD for Scotland by recycling revenues from a carbon tax into labor taxes; Chisari and Miller (2015) found a DD for Argentina, Brazil, Chile, El Salvador, Jamaica, and Peru by recycling revenues from a carbon tax into labor taxes; Sajeewani et al (2015) found a DD for Australia for a carbon tax when revenues were recycled into labor taxes; and Othman (2017), Pereira et al (2016), and Zhang et al (2016), who all applied the model to China, did not find a DD for a carbon tax. These different results from the various models are not unusual given how they may differ along many dimensions -country, period, source of data, functional forms, substitution elasticities and other parameter values, factor mobility and market structure, etc.…”
Section: Computable General Equilibrium Modeling and The Dd Hypothesismentioning
confidence: 99%