Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia, USA

Rebound effect is defined as the lost part of ceteris paribus energy savings from improvements on energy efficiency. In this paper, we investigate economy-wide energy rebound effects by developing a computable general equilibrium (CGE) model for Georgia, USA. The model adopts a highly disaggregated sector profile and highlights the substitution possibilities between different energy sources in the production structure. These two features allow us to better characterize the change in energy use in face of an efficiency shock, and to explore in detail how a sector-level shock propagates throughout the economic structure to generate aggregate impacts. We find that with economy-wide energy efficiency improvement on the production side, economy-wide rebound is moderate. Energy price levels fall very slightly, yet sectors respond to these changing prices quite differently in terms of local production and demand. Energy efficiency improvements in particular sectors (epicenters) induce quite different economy-wide impacts. In general, we expect large rebound if the epicenter sector is an energy production sector, a direct upstream/downstream sector of energy production sectors, a transportation sector or a sector with high production elasticity. Our analysis offers valuable insights for policy makers aiming to achieve energy conservation through increasing energy efficiency.

[1]  M. Wolfe Beyond “green buildings:” exploring the effects of Jevons’ Paradox on the sustainability of archival practices , 2012 .

[2]  Peter McGregor,et al.  The impact of a stimulus to energy efficiency on the economy and the environment: A regional computable general equilibrium analysis , 2006 .

[3]  Truong Truong,et al.  GTAP-E: An Energy-Environmental Version of the GTAP Model , 2002, GTAP Technical Paper Series.

[4]  M. Partridge,et al.  Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis , 2010 .

[5]  Dan S. Rickman,et al.  Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal , 1998 .

[6]  Manuel Frondel,et al.  Heterogeneity in the Rebound Effect – Further Evidence for Germany , 2010 .

[7]  Harry D. Saunders,et al.  Fuel conserving (and using) production functions , 2008 .

[8]  Boqiang Lin,et al.  The rebound effect for heavy industry: Empirical evidence from China , 2014 .

[9]  L. Schipper,et al.  On the rebound? Feedback between energy intensities and energy uses in IEA countries , 2000 .

[10]  Qingmu Su,et al.  A quantile regression analysis of the rebound effect: Evidence from the 2009 National Household Transportation Survey in the United States , 2012 .

[11]  K. Turner Negative rebound and disinvestment effects in response to an improvement in energy efficiency in the UK economy , 2009 .

[12]  J. D. Khazzoom,et al.  Economic Implications of Mandated Efficiency in Standards for Household Appliances , 1980 .

[13]  Peter McGregor,et al.  The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom , 2007 .

[14]  Göran Östblom,et al.  Decoupling waste generation from economic growth -- A CGE analysis of the Swedish case , 2010 .

[15]  Alireza Tahbaz-Salehi,et al.  Microeconomic Origins of Macroeconomic Tail Risks , 2014 .

[16]  P. Berkhout,et al.  Defining the rebound effect , 2000 .

[17]  Christoph Böhringer,et al.  Computable general equilibrium models for sustainability impact assessment: Status quo and prospects , 2006 .

[18]  Peter McGregor,et al.  Do increases in energy efficiency improve environmental quality and sustainability , 2009 .

[19]  S. Sorrell,et al.  The rebound effect: Microeconomic definitions, limitations and extensions , 2008 .

[20]  M. Thring World Energy Outlook , 1977 .

[21]  S. Sorrell,et al.  Empirical estimates of the direct rebound effect: A review , 2009 .

[22]  L. Brookes The greenhouse effect: the fallacies in the energy efficiency solution , 1990 .

[23]  Nick Hanley,et al.  Energy efficiency, rebound effects and the environmental Kuznets Curve , 2011 .

[24]  H. Saunders Does predicted rebound depend on distinguishing between energy and energy services , 2000 .

[25]  Raphael N. Markellos,et al.  Electricity Futures Prices in an Emissions Constrained Economy: Evidence from European Power Markets , 2015 .

[26]  Mark Howells,et al.  Incorporating macroeconomic feedback into an energy systems model using an IO approach: Evaluating the rebound effect in the Korean electricity system , 2010 .

[27]  René Kemp,et al.  The remarkable environmental rebound effect of electric cars: a microeconomic approach. , 2014, Environmental science & technology.

[28]  Zhaohua Wang,et al.  An empirical study of direct rebound effect for road freight transport in China , 2014 .

[29]  Michael E. Coltrin,et al.  Solid-state lighting: an energy-economics perspective , 2010 .

[30]  S. Sorrell Jevons’ Paradox revisited: The evidence for backfire from improved energy efficiency , 2009 .

[31]  M. Cooper,et al.  Economic impact analysis in tourism planning and development. , 1980 .

[32]  S. Borenstein A Microeconomic Framework for Evaluating Energy Efficiency Rebound and Some Implications , 2013 .

[33]  Paul S. Armington A Theory of Demand for Products Distinguished by Place of Production (Une théorie de la demande de produits différenciés d'après leur origine) (Una teoría de la demanda de productos distinguiéndolos según el lugar de producción) , 1969 .

[34]  H. Saunders Historical evidence for energy efficiency rebound in 30 US sectors and a toolkit for rebound analysts , 2013 .

[35]  K. Swales,et al.  An investigation of issues relating to where energy should enter the production function , 2011 .

[36]  Harry D. Saunders,et al.  A view from the macro side: rebound, backfire, and Khazzoom-Brookes , 2000 .