Distributional impacts of taxing carbon in China: Results from the CEEPA model
By Qiaomei Liang, Yi-Ming Wei. 2012
149 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/da5bc7be381b77d324aee8020d3d61eaacd110cc
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In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China (2013, methodology): “Some researchers made innovations in model and method, such as difference-in-difference method [15], China Energy and Environmental Policy Analysis model [18], and SWITCH model [19].”
- Climate policy modeling: An online SCI-E and SSCI based literature review (2015, background): “RICE Optimization [47] GREEN CGE [88] SGM CGE [89] CEEPA CGE [87] R&D-induced ETC-RICE Optimization [90] R&DICE Optimization [91] ENTICE Optimization [84] Learning-induced GET-LFL Optimization [92] FEEM-RICE Optimization [93] ICAM-3 Simulation [85] Direct price-induced IMAGE Simulation [94] ICAM-3 S”
- The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis ☆ (2015, background): “Liang and Wei [17] adopted a recursive dynamic CGE model of China to explore the impact of a carbon tax on the urban–rural gap and living standard.”
- Quantifying regional economic impacts of CO2 intensity targets in China (2012, background): “A range of other studies have focused on the impact of carbon mitigation and related energy policies in China, including a carbon tax (Cao, 2007; Liang and Wei, 2012), national absolute and intensity-based carbon limits (Dai et al.”