Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options
By Rong-Gang Cong, Yi-Ming Wei. 2010
222 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/7d92942cfd477c36044e66adf7eae951a727a1db
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Citations in the corpus
- Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing (2015, background): “For instance, if China implements CET to reduce CO2 emissions, the average electricity price may be increased by 12% (Cong and Wei, 2010).”
- Carbon emissions trading scheme exploration in China: A multi-agent-based model (2015, background): “Cong and Wei (2010) studied the potential impact of CET on China's power sector based on an agent-based model (ABM).”
- Carbon pricing in practice: a review of existing emissions trading systems (2018, background): “Within free allocations, fixed-sector benchmarking and output-based allocation can be relatively more effective in inducing low carbon production compared to grandfathering (Cong & Wei, 2010; Zhang, Wang, & Tan, 2015; Zetterberg, 2014), particularly in emissions-intensive firms (Ji et al., 2017).”
- Climate policy modeling: An online SCI-E and SSCI based literature review (2015, background): “A quantity-based mechanism— usually referred to as a permit or cap-and-trade system— works by first giving participants (such as countries, industries and enterprises) a limit on emission permits, and then allowing them to buy or sell permits in the market [99-101].”
- Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings (2016, background): “Cong and Wei (2010) studied the potential impact of carbon emissions trading on China’s electricity sector and indicated that carbon emissions trading could internalize environmental cost and stimulate the development of environmentally friendly technologies.”