Estimation of global rebound effect caused by energy efficiency improvement
By T. Wei, Yang Liu, Yang Liu. 2017
147 citations recorded by the source corpus.
Rebound effect refers to the phenomenon that the actual reduction in energy use and emissions is less than the expected reduction caused by an energy efficiency improvement due to induced behavior adjustment of relevant economic agents. This article studies the global rebound effects on energy use and related emissions caused by an energy efficiency improvement. We adopt a global computable general equilibrium (CGE) model to design a scenario of energy efficiency improvement, which is compared to a business-as-usual (BAU) scenario to identify the global rebound effect. Our results show very large rebound effect on energy use (70%) and related emissions (90%) in 2040 at the global level with regional and sectoral differences. Important determinants, among others, are induced labor movement among economic activities and labor supply, and substitution elasticity between energy and other goods. Labor mobility has a marked impact on both rebound effects and on fuel mix. The global rebound effect is still considerable even with a low substitution elasticity between energy and other goods. The effect of capital accumulation over time contributes marginally to the global rebound effect as it is utilized to promote economic growth by using energy input more efficiently.
Subfields: Automotive Engineering, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/27b5f31bb6e2d878340f2b5c41e1e02770e79954
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In Automotive Engineering
In Environmental Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Will technology advances alleviate climate change? Dual effects of technology change on aggregate carbon dioxide emissions (2017, background): “…the development of economy and the corresponding energy consumption, which is known as the “rebound effect” (Hertwich, 2005; Herring and Roy, 2007; Sorrell, 2007; Sorrell and Dimitropoulos, 2008; Sorrell et al., 2009; Grant et al., 2016; Lin and Zhao, 2016; Vivanco et al., 2016;Wei and Liu, 2017).”
- Assessing the Effectiveness of Energy Efficiency Measures in the Residential Sector Gas Consumption Through Dynamic Treatment Effects: Evidence from England and Wales (2022, background): “These include general equilibrium models (Lecca et al., 2014; Bye et al., 2018; Figus et al., 2017; Wei and Liu, 2017; Kulmer and Seebauer, 2019), microeconomic demand systems (Tovar and Wolfing, 2018), scenario analysis (Chitnis et al., 2014; Chitnis et al., 2013; Druckman et al., 2011) and…”