Decomposition analysis of CO2 emissions from electricity generation in China
By Ming Zhang, Xiao Liu, Wenwen Wang, Min Zhou. 2013
224 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/47f0fc982086749b9d10459715ea7f61a41efb15
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Citations in the corpus
- Decomposition analysis for assessing the progress in decoupling relationship between coal consumption and economic growth in China (2018, methodology): “The Taipo decoupling index was used to explore the decoupling status between energy-related CO2 emission and GDP in Jiangsu province (China) from 1995 to 2009 (Zhang et al., 2013).”
- Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China (2015, unknown): “(2013) [18] LMDI 1991e2009”
- Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes:A case study for Shanghai (China) (2016, background): “Consequently, it has gradually become the most prevailing decomposition method of driving forces of CO2 emissions change [7-11].”
- Drivers of CO2 emissions in the former Soviet Union: A country level IPAT analysis from 1990 to 2010 (2013, methodology): “IDA has been widely applied for analyzing energy intensity and consumption [11, 33-38] and GHG emissions [22, 39-48].”