A new energy decomposition method: perfect in decomposition and consistent in aggregation
By Beng Wah Ang, Feng Liu. 2001
739 citations recorded by the source corpus.
Subfields: Environmental Engineering, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/3791d99eb1573b704e3b745d9ae0a2319c008584
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In Environmental Engineering
In Health, Toxicology and Mutagenesis
Citations in the corpus
- Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis (2013, result): “This empirical evidence is in agreement with literatures such as Liu (2005), Ang and Liu (2005), Say and Yücel (2006), and, Ang (2008).”
- Analyzing Drivers of Regional Carbon Dioxide Emissions for China (2012, methodology): “IDA has been developed based on index theory (Ang and Liu 2001; Ang et al. 2004; Ang and Zhang 2000; Hoekstra and van den Bergh 2002). Numerous studies have been carried out using IDA to analyze energy consumption and energy-related CO2 emissions in China for different time periods. For example, Ang”
- Structural Change and Convergence of Energy Intensity across OECD Countries, 1970-2005 (2012, positive): “In this study we use the so-called log mean Divisia index method (LMDI I) as introduced by Ang and Liu (2001).”
- Regional development and carbon emissions in China (2019, positive): “According to existing research, among IDA methods, the LMDI is preferable for its path independence, aggregation consistency, and ability to handle zero values (Ang, 2005; Ang and Liu, 2001; Ang et al., 1998).”
- The decomposition of energy-related carbon emission and its decoupling with economic growth in China (2015, methodology): “Ang and Liu [17] also pointed out that the early LMDI decomposition form proposed by Ang and Choi [15] in 1997 was not consistent in aggregation.”
- The socioeconomic drivers of China’s primary PM2.5 emissions (2014, methodology): “The available techniques in conducting such analysis include index decomposition analysis (IDA) (Ang 2004, 2005, Ang and Liu 2001) and structural decomposition analysis (SDA) (Rose and Casler 1996).”