Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China

Energy efficiency improvement policies have special significance for carbon emissions reduction and the mitigation of the effects of climate change. However the energy rebound effect caused by technological progress will indirectly increase energy consumption. The magnitude of the rebound effect largely determines the effectiveness of energy efficiency in mitigating energy consumption. This study reviews the main theory behind estimated methods of energy rebound effect measurement, focuses on constructing a double logarithm energy demand model and an error correction model of the asymmetric demand responses of electricity price changes to empirically analyse the direct rebound effect on residential electricity use in Beijing. It integrates consumer׳s demand theory with the embodied electricity of household spending from a seven-sector environmental energy-input–output (E-I-O) analysis to estimate the indirect rebound effect. The three income-elasticity, weight change, and proportional re-spending scenario simulation results show that: residential electricity use in Beijing exhibits a partial rebound effect, and the long-term direct and indirect rebound effects are 46% to 56%, and the short-term direct rebound effect is 24% to 37%. Finally, the direct and indirect energy rebound effect for various income groups needs further research. An appropriate policy mix should be adopted to mitigate effectively the rebound effect in China’s current lower energy price and lower energy efficiency market.

[1]  Tim Jackson,et al.  Missing carbon reductions? Exploring rebound and backfire effects in UK households , 2010, Energy Policy.

[2]  D. Gately,et al.  The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand , 2002 .

[3]  Jaume Freire-González,et al.  Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households , 2011 .

[4]  Roland Geyer,et al.  The Rebound Effect : State of the Debate and Implications for Energy Efficiency Research , 2010 .

[5]  D. Greene,et al.  Energy efficiency and consumption — the rebound effect — a survey , 2000 .

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

[7]  J. Roy.  The rebound effect : some empirical evidence from India , 2000 .

[8]  Horace Herring,et al.  Energy efficiency and sustainable consumption : the rebound effect , 2009 .

[9]  M. Binswanger.  Technological progress and sustainable development: what about the rebound effect? , 2001 .

[10]  D. Sailor.  Relating residential and commercial sector electricity loads to climate : evaluating state level sensitivities and vulnerabilities , 2001 .

[11]  Kenichi Mizobuchi,et al.  An empirical study on the rebound effect considering capital costs , 2008 .

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

[13]  A. Fujiwara,et al.  Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing , 2013 .

[14]  Inês L. Azevedo,et al.  Estimating direct and indirect rebound effects for U.S. households with input-output analysis. Part 2: Simulation , 2013 .

[15]  Sang-Hyeon Jin,et al.  The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea , 2007 .

[16]  Jeffrey Y. Tsao,et al.  Rebound effects for lighting , 2012 .

[17]  Dermot Gately,et al.  The Imperfect Price-Reversibility of World Oil Demand , 1993 .

[18]  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 .

[19]  Ray Galvin,et al.  Estimating broad-brush rebound effects for household energy consumption in the EU 28 countries and Norway: some policy implications of Odyssee data , 2014 .

[20]  H. Wang,et al.  An empirical study of direct rebound effect for passenger transport in urban China , 2012 .

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

[22]  L. G. Brookes,et al.  Energy policy, the energy price fallacy and the role of nuclear energy in the UK , 1978 .

[23]  Jaume Freire González.  Empirical evidence of direct rebound effect in Catalonia , 2010 .

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

[25]  Kazunori Hokao,et al.  Rebound effect in Chinese household energy efficiency and solution for mitigating it , 2010 .

[26]  Boqiang Lin,et al.  Electricity tariff reform and rebound effect of residential electricity consumption in China , 2013 .

[27]  Theologos Dergiades,et al.  Estimating Residential Demand for Electricity in the United States, 1965-2006 , 2008 .

[28]  Milin Lu,et al.  Direct rebound effect on urban residential electricity use: An empirical study in China , 2014 .

[29]  Elisabeth Dütschke,et al.  A Brighter Future? Quantifying the Rebound Effect in Energy Efficient Lighting , 2014 .

[30]  L. Schipper,et al.  Residential energy demand in OECD-countries and the role of irreversible efficiency improvements , 1998 .

[31]  M. Filippini,et al.  A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand , 2015 .

[32]  R. Brännlund,et al.  Increased Energy Efficiency and the Rebound Effect: Effects on consumption and emissions , 2004 .

[33]  Clevo Wilson,et al.  Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka , 2010 .

[34]  Hugo Hens,et al.  Energy consumption for heating and rebound effects , 2010 .

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

[36]  Inês L. Azevedo,et al.  Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework , 2013 .

[37]  Reinhard Haas,et al.  The rebound effect for space heating Empirical evidence from Austria , 2000 .

[38]  H. C. S. Thom,et al.  Seasonal Degree-day Statistics for the United States , 1952 .

[39]  C. Sanne,et al.  Dealing with environmental savings in a dynamical economy-how to stop chasing your tail in the pursuit of sustainability , 2000 .

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

[41]  W. Leontief.  Environmental Repercussions and the Economic Structure: An Input-Output Approach , 1970 .

[42]  Jörg Peters,et al.  Identifying the Rebound - Evidence from a German Household Panel , 2007 .

[43]  T. Rutherford,et al.  Technological change and uncertainty in environmental economics , 2009 .

[44]  Jan Bentzen,et al.  Estimating the rebound effect in US manufacturing energy consumption , 2004 .

[45]  Z. Şen,et al.  Degree-Day Formulations and Application in Turkey , 1999 .

[46]  S. Sorrell,et al.  Estimating direct and indirect rebound effects for UKhouseholds , 2012 .