Electricity tariff reform and rebound effect of residential electricity consumption in China

China has implemented increasing-block power tariffs. It might be a breakthrough in the country's stagnant residential power tariff reform. Improving energy efficiency is the primary method adopted by the Chinese government for energy conservation in residential sector. However, negative effects brought by energy rebound would weaken the real effect of efficiency improvement. Therefore, this paper focuses on the impact of residential electricity tariff adjustment on rebound effect of residential electricity consumption in China. We set up an LA-AIDS Model (linear approximation of the almost ideal demand system model) to estimate the rebound effect of urban residential electricity consumption. The results show that the rebound effect is approximately 165.22%. This figure manifests the existence of ‘backfire effect’, indicating that efficiency improvement does not have energy-saving effect in practice. After the implementation of increasing-block electricity tariff policy in China, the rebound is reduced to 132.3%. In addition, we also obtain the electricity tariffs at which the rebound effect is less than 1 or even close to zero. In this regard, for Chinese electricity market, electricity tariff reform might be an effective method for mitigating rebound effect.

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

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

[3]  W Orasch,et al.  Technological efficiency and the demand for energy (road transport) , 1997 .

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

[5]  G. Box,et al.  On a measure of lack of fit in time series models , 1978 .

[6]  A. Murata,et al.  Electricity demand in the Chinese urban household-sector , 2008 .

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

[8]  Li Hong,et al.  Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model , 2013 .

[9]  G. Box,et al.  Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models , 1970 .

[10]  Filip Johnsson,et al.  The effect of improved efficiency on energy savings in EU-27 buildings , 2013 .

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

[12]  Runa Nesbakken,et al.  Energy Consumption for Space Heating: A Discrete-Continuous Approach , 2001 .

[13]  Boqiang Lin,et al.  Designation and influence of household increasing block electricity tariffs in China , 2012 .

[14]  Julian M. Alston,et al.  Elasticities in AIDS Models , 1990 .

[15]  Boqiang Lin,et al.  Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China , 2013 .

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

[17]  Humberto M. Jorge,et al.  Dealing with the paradox of energy efficiency promotion by electric utilities , 2013 .

[18]  Karlson Hargroves,et al.  Factor Five: Transforming the Global Economy through 80% Improvements in Resource Productivity , 2009 .

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

[20]  S. Sorrell UKERC Review of Evidence for the Rebound Effect Supplementary Note: Graphical illustrations of rebound effects , 2007 .

[21]  J. Muellbauer,et al.  An Almost Ideal Demand System , 1980 .

[22]  Boqiang Lin,et al.  Dilemma between economic development and energy conservation: Energy rebound effect in China☆ , 2012 .

[23]  Lixin Tian,et al.  Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system , 2012 .

[24]  Liu Feng-chao,et al.  Rebound Effect of Energy Consumption due to Technological Progress:Empirical Analysis based on Provincial Panel Data in China , 2008 .

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

[26]  Fatih Birol,et al.  Prices, technology development and the rebound effect , 2000 .

[27]  A. Zellner An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

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

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

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

[31]  Richard K. Green,et al.  Elasticities in AIDS Models: A Clarification and Extension , 1991 .