Structural Decomposition Analysis of Physical Flows in the Economy
By R. Hoekstra, J. C. van den Bergh. 2002
287 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/b213dbac380a7e234d796f0db88d68055caf9c25
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Citations in the corpus
- Structural decomposition analysis of Australia's greenhouse gas emissions (2009, background): “…resulting logarithmic mean Divisia (LMD) formulation DyL ¼ Xn i¼1 Dy Dðln yÞ ln xi;1 xi;0 ð14Þ is non-parametric, exact and time-reversible (for proofs see (Ang and Choi, 1997) and (Ang et al., 1998), for overview see (Lenzen, 2006) and (Hoekstra and van den Bergh, 2002) and (Janssen et al., 2001).”
- Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis (2013, methodology): “…of influencing factors to changes in economic and environmental flows (Dietzenbacher and Los, 1998; Guan et al., 2008, 2009; Haan, 2001; Hoekstra and Bergh, 2002; Liang et al., in press; Liang and Zhang, 2011d; Minx et al., 2011; Peters et al., 2007; Rørmose and Olsen, 2005; Weinzettel…”
- A comparison of carbon dioxide (CO2) emission trends among provinces in China (2017, methodology): “In literature, the 27 structural decomposition analysis (SDA) and the index decomposition analysis (IDA) 28 are the most commonly used decomposition techniques ([11]; [12]; [13]; [14]; [15]; 29 [16]; [17]; [18]; [19]; [20])(1).”
- Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis (2014, methodology): “SDA is a widely used method to examine the relative contribution of these factors to physical flows (Hoekstra and van den Bergh, 2002; Liang et al., 2013b; Liang and Zhang, 2011b; Wang et al., 2013; Xu et al., 2011).”