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Exploring the Direct Rebound Effect of Energy Consumption: A Case Study

1
School of Energy and Power Engineering, Shandong University, Jinan 250061, China
2
School of Architecture & Built Environment, The University of Adelaide, Adelaide 5005, Australia
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(1), 259; https://0-doi-org.brum.beds.ac.uk/10.3390/su10010259
Received: 26 December 2017 / Revised: 12 January 2018 / Accepted: 17 January 2018 / Published: 19 January 2018
(This article belongs to the Section Energy Sustainability)
Technological innovation plays a crucial role for improving energy efficiency. But the excessive energy consumption has presented a significant challenge at the same time, which indicates that the direct energy rebound effect exists in China. Cobb-Douglas production function and Logarithmic Mean Divisia Index decomposition model are employed to analyze the rebound effect of energy consumption of all three main industries sector in China. The results show that total technological effect curve and total substitution effect curve fluctuated more significantly than total structure effect curve from 1991 to 2014.The first two curves were the most critical factors for the energy consumption intensity. Stabilizing energy prices, developing new and renewable energy and implementing policies related to energy conservation and emission reduction are effective measures to reduce energy consumption intensity. More attention should be paid to the growing demand for living energy consumption derived from the rapid development of the tertiary industry. The direct rebound effect of energy consumption in China showed an overall descending trend. This shows that technological effect has well prevented the growth of energy consumption. Direct energy rebound effect can be controlled effectively by means of formulating and implementing the corresponding energy related policies. View Full-Text
Keywords: energy rebound effect; energy intensity; Cobb-Douglas production function; Logarithmic Mean Divisia Index decomposition model energy rebound effect; energy intensity; Cobb-Douglas production function; Logarithmic Mean Divisia Index decomposition model
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MDPI and ACS Style

Wang, Q.; Gao, Z.; Tang, H.; Yuan, X.; Zuo, J. Exploring the Direct Rebound Effect of Energy Consumption: A Case Study. Sustainability 2018, 10, 259. https://0-doi-org.brum.beds.ac.uk/10.3390/su10010259

AMA Style

Wang Q, Gao Z, Tang H, Yuan X, Zuo J. Exploring the Direct Rebound Effect of Energy Consumption: A Case Study. Sustainability. 2018; 10(1):259. https://0-doi-org.brum.beds.ac.uk/10.3390/su10010259

Chicago/Turabian Style

Wang, Qingsong, Zhenlei Gao, Hongrui Tang, Xueliang Yuan, and Jian Zuo. 2018. "Exploring the Direct Rebound Effect of Energy Consumption: A Case Study" Sustainability 10, no. 1: 259. https://0-doi-org.brum.beds.ac.uk/10.3390/su10010259

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