Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China
Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China
复制标题
家庭能源反弹效应的测量:来自中国北京居民用电的证据
DOI:
10.1016/j.rser.2015.12.179
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发表时间:
2016-05
影响因子:
15.9
通讯作者:
Milin Lu
中科院分区:
文献类型:
--
作者:
Zhaohua Wang;Bai Han;Milin Lu
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.
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DOI:
10.1016/j.enpol.2014.04.028
发表时间:
2014-09
期刊:
--
影响因子:
--
作者:
J. Schleich;B. Mills;E. Dütschke
通讯作者:
J. Schleich;B. Mills;E. Dütschke
DOI:
--
发表时间:
2011
期刊:
China Population, Resources and Environment
影响因子:
--
作者:
Qiao Shu-fang
通讯作者:
Qiao Shu-fang
影响因子:
12.8
作者:
Theologos Dergiades;Lefteris Tsoulfidis
通讯作者:
Theologos Dergiades;Lefteris Tsoulfidis
影响因子:
3.2
作者:
R. Longley
通讯作者:
R. Longley
DOI:
--
发表时间:
2010
期刊:
--
影响因子:
--
作者:
S. Gavankar;R. Geyer
通讯作者:
S. Gavankar;R. Geyer