Properties and linkages of some index decomposition analysis methods

By Beng Wah Ang, H. C. Huang, A. Mu. 2009

180 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/03e4ce38ce793f8376c9836721e6f21528e1b211

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Kuishuang Feng
2. Bin Su
3. Beng Wah Ang
4. Klaus Hubacek
5. Jānis Brizga
6. D. Guan
7. Weidong Liu
8. Zhouying Song

In Environmental Engineering

1. Kuishuang Feng
2. Bin Su
3. Klaus Hubacek
4. Beng Wah Ang
5. D. Guan
6. Jānis Brizga
7. Weidong Liu
8. Zhouying Song

Citations in the corpus

• Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China (2015, background): “leaves no residuals, and can address the zero values in the dataset [11,12].”
• China's energy consumption under the global economic crisis: Decomposition and sectoral analysis (2014, methodology): “The two most commonly used decomposition techniques are the index decomposition analysis (IDA) and the structural decomposition analysis (SDA) (Ang, 2004; Ang et al., 2009; Weber, 2009; Dong et al., 2010).”
• Drivers of CO2 emissions in the former Soviet Union: A country level IPAT analysis from 1990 to 2010 (2013, methodology): “Ang, Huang [53] report logarithmic mean Divisia index I (LMDI) method as being robust and convenient to”
• STRUCTURAL DECOMPOSITION ANALYSIS APPLIED TO ENERGY AND EMISSIONS: AGGREGATION ISSUES (2012, background): “E-mail: subin@nus.edu.sg 1 More information can be found in Rose and Casler (1996), Miller and Blair (2009) and Su and Ang (2012) on SDA, and Ang (1995a, 2004) and Ang et al. (2009, 2010) on IDA.”