Using latent variable approach to estimate China's economy-wide energy rebound effect over 1954-2010

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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): “The expectation and efforts of “producing more with less” at the microeconomics level may instead show the result of “producing more with more” at the macroeconomic level [29].”
Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications (2021, background): “[101] and Brockway [98] use aggregate primary energy intensity (Y/ EP), while both Lin and Liu [100] and Lin and Du [102] use an energy efficiency index – which separates the effect of final energy intensity reductions within individual sectors from structural change between those sectors [109].”
Energy rebound as a potential threat to a low-carbon future: findings from a new exergy-based national-level rebound approach (2017, methodology): “[73], who completed empirical rebound studies by translating Equation (7) into a rebound equation which is based on the CES function parameters.”