CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter?
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<sub>2</sub> emissions are still increasing. To better understand the reasons for thi...
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| Format: | Article |
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MDPI AG
2022-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/12/4279 |
| _version_ | 1797487820164562944 |
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| author | Maliyamu Abudureheman Qingzhe Jiang Xiucheng Dong Cong Dong |
| author_facet | Maliyamu Abudureheman Qingzhe Jiang Xiucheng Dong Cong Dong |
| author_sort | Maliyamu Abudureheman |
| collection | DOAJ |
| description | 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<sub>2</sub> 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<sub>2</sub> 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<sub>2</sub> emissions; specifically, a 1% increase in the short-run RE led to an increase in CO<sub>2</sub> emissions of approximately 0.818%, and a 1% increase in the long-run RE resulted in an increase in CO<sub>2</sub> emissions of approximately 0.695%. Moreover, significant regional differences existed in the impact of the RE on CO<sub>2</sub> emissions; in regions with high emissions and a high RE, the CO<sub>2</sub> reduction effect from the marginal decline in the RE was much more pronounced than that in other regions. |
| first_indexed | 2024-03-09T23:54:14Z |
| format | Article |
| id | doaj.art-19f737eda2524fd283fc9d874191f3b1 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:54:14Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-19f737eda2524fd283fc9d874191f3b12023-11-23T16:28:30ZengMDPI AGEnergies1996-10732022-06-011512427910.3390/en15124279CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter?Maliyamu Abudureheman0Qingzhe Jiang1Xiucheng Dong2Cong Dong3School of International Trade and Economics, University of International Business and Economics, Beijing 100029, ChinaSchool of International Trade and Economics, University of International Business and Economics, Beijing 100029, ChinaSchool of International Trade and Economics, University of International Business and Economics, Beijing 100029, ChinaSchool of International Trade and Economics, University of International Business and Economics, Beijing 100029, ChinaEnhancing 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<sub>2</sub> 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<sub>2</sub> 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<sub>2</sub> emissions; specifically, a 1% increase in the short-run RE led to an increase in CO<sub>2</sub> emissions of approximately 0.818%, and a 1% increase in the long-run RE resulted in an increase in CO<sub>2</sub> emissions of approximately 0.695%. Moreover, significant regional differences existed in the impact of the RE on CO<sub>2</sub> emissions; in regions with high emissions and a high RE, the CO<sub>2</sub> reduction effect from the marginal decline in the RE was much more pronounced than that in other regions.https://www.mdpi.com/1996-1073/15/12/4279energy rebound effectCO<sub>2</sub> emissionssystem generalized method of momentsregional heterogeneity |
| spellingShingle | Maliyamu Abudureheman Qingzhe Jiang Xiucheng Dong Cong Dong CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter? Energies energy rebound effect CO<sub>2</sub> emissions system generalized method of moments regional heterogeneity |
| title | CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter? |
| title_full | CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter? |
| title_fullStr | CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter? |
| title_full_unstemmed | CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter? |
| title_short | CO<sub>2</sub> Emissions in China: Does the Energy Rebound Matter? |
| title_sort | co sub 2 sub emissions in china does the energy rebound matter |
| topic | energy rebound effect CO<sub>2</sub> emissions system generalized method of moments regional heterogeneity |
| url | https://www.mdpi.com/1996-1073/15/12/4279 |
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