首页|Rebound effect and its decomposition - an analysis based on energy types in China
Rebound effect and its decomposition - an analysis based on energy types in China
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Rebound effect derived from energy efficiency improvement has been widely invested. However, most of studies focus on the rebound effect of the energy composite level and neither distinguish nor compare different energy types. We compare the differences in energy saving and energy rebound between primary and secondary energy sources, and further decompose the rebound effect into production rebound part and final demand component. To do so, we add a module for rebound into a comparative state China-CGE model. We design and test two simulation scenarios using the model. In Scenario 1, all production sectors' energy efficiency of using primary energy increases by 5％. In Scenario 2, all production sectors' energy efficiency of using secondary energy increases by 5％. The results show that Scenario 2 leads to more GDP growth and more energy saving. Our scenarios show rebound effects range between 9.6％ and 27.9％, and in general are higher when energy efficiency of using primary energy sources is improved. Our decomposition analysis shows that improving energy efficiency in production sectors would stimulates energy use of final demand. Indeed, the consumption side has significant contribution to rebound in secondary energy use, especially in crude oil and gas. This study reveals that improving efficiency of using secondary energy is better than improving that of primary energy, both in terms of economic impact and energy rebound. And complementary policies that prevent energy services prices from falling too much can be adopted to reduce rebound. Controlling residential energy use could also be effective in reducing rebound, this has particular implication to economies in which residential energy consumption are far from saturation.
Rebound effectsenergy efficiencyenergy typeCGE model
Yu Liu、Meifang Zhou、Shenghao Feng、Yi Wang
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Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China
School of Management and Economics, Beijing Institute of Technology, Beijing, China
Research Institute for Global Value Chains, University of International Business and Economics, Beijing, China
This study is supported by National Natural Science Foundation of China Fund projectMinistry of Science and Technology of China National key R&D Project
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