Dynamic evolution analysis of the factors driving the growth of energy-related CO2 emissions in China: An input-output analysis

被引:17
作者
Ma, Yan [1 ,2 ]
Song, Zhe [3 ]
Li, Shuangqi [1 ,4 ]
Jiang, Tangyang [1 ,5 ]
机构
[1] Zhongnan Univ Econ & Law, Postdoctoral Res Stn Appl Econ, Wuhan, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Business Adm, Wuhan, Peoples R China
[3] Chongqing Univ, Sch Econ & Business Adm, Chongqing, Peoples R China
[4] Chongqing Technol & Business Univ, Sch Accounting, Chongqing, Peoples R China
[5] Anhui Univ, Sch Internet, Hefei, Anhui, Peoples R China
基金
中国博士后科学基金;
关键词
CARBON-DIOXIDE EMISSIONS; RENEWABLE ENERGY; ECONOMIC-GROWTH; DECOMPOSITION ANALYSIS; NONRENEWABLE ENERGY; CONSUMPTION STRUCTURE; REDUCTION; PANEL; COUNTRIES; INDUSTRY;
D O I
10.1371/journal.pone.0243557
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent years, the global greenhouse effect caused by excessive energy-related carbon emissions has attracted more and more attention. In this paper, we studied the dynamic evolution of factors driving China's energy-related CO2 emissions growth from 2007 to 2015 by using energy consumption method and input-output analysis and used the IO-SDA model to decompose the energy carbon emissions. Within the research interval, the results showed that (1) on the energy supply-side, the high carbon energy represented by raw coal was still the main factor to promote the growth of energy-related CO2 emissions. However, the optimization of energy consumption structure is conducive to reducing emissions. Specifically, the high carbon energy represented by raw coal exhibited a downward trend in promoting the increment of energy-related CO2 emissions, while the clean energy represented by natural gas showed an upward trend in promoting the increment of CO2 emissions. It is worth noting that there is still a lot of room for optimization of China's energy consumption structure to reduce emissions. (2) On the energy demand-side, the final demand effect is the main driving force of the growth of carbon emissions from fossil energy. Among them, the secondary industry plays a major role in the final demand effect. The "high carbonization" of the final product reflects the characteristics of China's high energy input in the process of industrialization. At the same time, since the carbon emission efficiency of the tertiary industry and the primary industry is better than that of the secondary industry, actively optimizing the industrial structure is conducive to slowing down the growth of carbon emission brought by the demand effect. (3) The input structure effect is the main restraining factor for the growth of energy carbon emissions, while the energy intensity effect has a slight driving effect on the growth of energy carbon emissions. The results show that China's "extensive" economic growth model has been effectively reversed, but the optimization of fossil energy utilization efficiency is still not obvious, and there is still a large space to curb carbon emissions by improving fossil energy utilization efficiency in the future.
引用
收藏
页数:19
相关论文
共 48 条
[1]   Potential of energy savings and CO2 emission reduction in China's iron and steel industry [J].
An, Runying ;
Yu, Biying ;
Li, Ru ;
Wei, Yi-Ming .
APPLIED ENERGY, 2018, 226 :862-880
[2]  
[Anonymous], 2017, STAT RES
[3]   The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach [J].
Bilgili, Faik ;
Kocak, Emrah ;
Bulut, Umit .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 :838-845
[4]   Investigating the causal relationship between non-renewable and renewable energy consumption, CO2 emissions and economic growth in Thailand [J].
Boontome, Phatchapa ;
Therdyothin, Apichit ;
Chontanawat, Jaruwan .
2017 INTERNATIONAL CONFERENCE ON ALTERNATIVE ENERGY IN DEVELOPING COUNTRIES AND EMERGING ECONOMIES, 2017, 138 :925-930
[5]   Exploring the effects of economic growth, and renewable and non-renewable energy consumption on China's CO2 emissions: Evidence from a regional panel analysis [J].
Chen, Yulong ;
Zhao, Jincai ;
Lai, Zhizhu ;
Wang, Zheng ;
Xia, Haibin .
RENEWABLE ENERGY, 2019, 140 :341-353
[6]   Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model [J].
Chen, Zhongfei ;
Wanke, Peter ;
Moreira Antunes, Jorge Junio ;
Zhang, Ning .
ENERGY ECONOMICS, 2017, 68 :89-108
[7]   Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries [J].
Dong, Kangyin ;
Sun, Renjin ;
Hochman, Gal .
ENERGY, 2017, 141 :1466-1478
[8]   A decomposition analysis of energy-related CO2 emissions in Chinese six high-energy intensive industries [J].
Du, Gang ;
Sun, Chuanwang ;
Ouyang, Xiaoling ;
Zhang, Chi .
JOURNAL OF CLEANER PRODUCTION, 2018, 184 :1102-1112
[9]   Carbon Emissions in China's Construction Industry: Calculations, Factors and Regions [J].
Du, Qiang ;
Lu, Xinran ;
Li, Yi ;
Wu, Min ;
Bai, Libiao ;
Yu, Ming .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (06)
[10]   Analysis of carbon emissions reduction of China's metallurgical industry [J].
Du, Zhili ;
Lin, Boqiang .
JOURNAL OF CLEANER PRODUCTION, 2018, 176 :1177-1184