Structural decomposition of energy use in Brazil from 1970 to 1996

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STRUCTURAL DECOMPOSITION ANALYSIS APPLIED TO ENERGY AND EMISSIONS: AGGREGATION ISSUES (2012, background): “…ln ( Ld,ij(ts) Ld,ij(ts−1) )] = n∑ i,j=1 str,ij (12) fdm = Cfdm(t0, tk) − Cfdm{t0, . . . , tk} = n∑ i,j=1 [ k∑ s=1 (L(Cij(tk), Cij(t0)) − L(Cij(ts), Cij(ts−1))) ln ( yj(ts) yj(ts−1) )] = n∑ i,j=1 fdm,ij (13) 7 See, for example, Wachsmann et al. (2009), Weber (2009) and Wood and Lenzen (2009).”
Imbalance and drivers of carbon emissions embodied in trade along the Belt and Road Initiative (2020, background): “F = ELY = ELubvp (11) The central idea of SDA is to decompose the changes of its determinants resulting in a cumulative sum of contributions within a certain period of time [38].”
A note on the use of supply-use tables in impact analyses (2012, background): “(13) In a study on Brazil by Wachsmann et al. (2009), physical information on energy consumption was generally available for industries as fi, but for some industries, detailed commodity information was available as fc.”
China's Energy Consumption in the New Normal (2018, background): “during 1997–2002 (Weber, 2009), in Brazil during 1970–1996 (Wachsmann et al., 2009), and in India during 1973–1991 (Mukhopadhyay & Chakraborty, 1999).”