Energy technological progress, energy consumption, and CO2 emissions: Empirical evidence from China

被引:202
作者
Gu, Wei [1 ]
Zhao, Xiaohui [1 ]
Yan, Xiangbin [1 ]
Wang, Chen [1 ]
Li, Qing [1 ]
机构
[1] Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
CO2; emissions; Energy technological progress; Energy consumption; Rebound effect; Nonlinear effect; Elasticity analysis; CARBON-DIOXIDE EMISSIONS; TECHNICAL PROGRESS; ECONOMIC-GROWTH; ENVIRONMENTAL-REGULATION; FINANCIAL DEVELOPMENT; KUZNETS CURVE; GHG EMISSIONS; REDUCTION; EFFICIENCY; INNOVATION;
D O I
10.1016/j.jclepro.2019.117666
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Technical progress is usually considered to be an important way to effectively reduce carbon emissions. However, the advancement of energy technology may cause rebound effect which may lessen the emission reduction effect of technical progress. This suggests that the real impact of energy technological progress is worthy of further study. By taking the rebound effect into consideration, this study estimates the real effect of energy technological progress and energy consumption on carbon emissions in China, based on an interaction model, and using data from China's 30 provinces for the period 2005-2016. Key results include the following: (1) An inverted U-shaped relationship between energy technological progress and carbon emissions is detected. (2) Across technical progress, energy consumption has an inverted U-shaped effect on carbon emissions. (3) Turning points are found in both the direct effect and the technical effect of China's energy technological progress. This indicates that they initially increase carbon emissions, and then reduce them, although the rebound effect continues to have a positive impact on the increase of carbon emissions. (4) The largest differences between regions with different energy technology levels appear in the direct effect and the technical effect of energy technological progress on CO2 emissions, and there is almost no difference in rebound effect. Some relevant policy recommendations are proposed, based on the above findings. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
相关论文
共 87 条
[31]   An econometric study of the impact of economic growth and energy use on carbon emissions: Panel data evidence from fifty eight countries [J].
Kais, Saidi ;
Sami, Hammami .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 59 :1101-1110
[32]  
Kaya Y, 1990, Impact of carbon dioxide emission control on GNP growth: Interpretation of proposed scenarios
[33]  
Khazzoom J.D., 1980, Energy Journal, V1, P21, DOI [10.5547/issn0195-6574-ej-vol1-no4-2, DOI 10.5547/ISSN0195-6574-EJ-VOL1-NO4-2, 10.5547/ISSN0195-6574-EJ-Vol1-No4-2]
[34]  
LAI XD, 2019, ENVIRON SCI POLLUT R, DOI DOI 10.1080/09593330.2019.1611942
[35]   Efficiency-improving fossil fuel technologies for electricity generation: Data selection and trends [J].
Lanzi, Elisa ;
Verdolini, Elena ;
Hascic, Ivan .
ENERGY POLICY, 2011, 39 (11) :7000-7014
[36]   How does environmental regulation affect different approaches of technical progress?-Evidence from China's industrial sectors from 2005 to 2015 [J].
Li, Chen .
JOURNAL OF CLEANER PRODUCTION, 2019, 209 :572-580
[37]   Simultaneous removal of SO2 and NOx from flue gas by wet scrubbing using a urea solution [J].
Li, Ge ;
Wang, Baodong ;
Xu, Wayne Qiang ;
Li, Yonglong ;
Han, Yifan ;
Sun, Qi .
ENVIRONMENTAL TECHNOLOGY, 2019, 40 (20) :2620-2632
[38]   Heterogeneity analysis of the effects of technology progress on carbon intensity in China [J].
Li, Ke ;
Lin, Boqiang .
INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT, 2016, 8 (01) :129-152
[39]   CO2 emission trends of China's primary aluminum industry: A scenario analysis using system dynamics model [J].
Li, Qiang ;
Zhang, Wenjuan ;
Li, Huiquan ;
He, Peng .
ENERGY POLICY, 2017, 105 :225-235
[40]   Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China [J].
Li, Wei ;
Zhao, Tao ;
Wang, Yanan ;
Guo, Fang .
NATURAL HAZARDS, 2017, 88 (02) :1211-1227