CO 2 Emissions in China: Does the Energy Rebound Matter?

Maliyamu Abudureheman, Qingzhe Jiang, Xiucheng Dong and Cong Dong
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Maliyamu Abudureheman: School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China
Qingzhe Jiang: School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China
Xiucheng Dong: School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China
Cong Dong: School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China

Energies, 2022, vol. 15, issue 12, 1-25

Abstract: Enhancing energy efficiency is globally regarded as an effective way to reduce carbon emissions. In recent years, the energy efficiency of China has gradually improved; however, energy consumption and CO 2 emissions are still increasing. To better understand the reasons for this, we evaluated the energy rebound effect (RE) of 30 provinces in China over the period 2001–2017 by employing stochastic frontier analysis (SFA) and the system generalized method of moments (system-GMM) approach, and explored the extent to which the RE affects CO 2 emissions. Asymmetric and regional heterogeneity analyses were also conducted. The results indicate that the national average RE was 90.47% in the short run, and 78.17% in the long run, during the sample period. Most of the provinces experienced a partial RE, with a backfire effect occurring in some provinces such as Guangxi and Henan. The RE was associated with significant increases in CO 2 emissions; specifically, a 1% increase in the short-run RE led to an increase in CO 2 emissions of approximately 0.818%, and a 1% increase in the long-run RE resulted in an increase in CO 2 emissions of approximately 0.695%. Moreover, significant regional differences existed in the impact of the RE on CO 2 emissions; in regions with high emissions and a high RE, the CO 2 reduction effect from the marginal decline in the RE was much more pronounced than that in other regions.

Keywords: energy rebound effect; CO 2 emissions; system generalized method of moments; regional heterogeneity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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