Post-doctoral Research Station of Applied Economics, Zhongnan University of Economics and Law, Wuhan, China.
School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China.
PLoS One. 2020 Dec 16;15(12):e0243557. doi: 10.1371/journal.pone.0243557. eCollection 2020.
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.
近年来,因能源相关碳排放过量而导致的全球温室效应问题日益受到关注。本文利用能源消费法和投入产出分析法,研究了 2007—2015 年中国能源相关 CO2 排放增长的驱动因素动态演进,并利用 IO-SDA 模型对能源碳排放进行分解。研究区间内,结果表明:①能源供给侧方面,以原煤为代表的高碳能源仍是推动能源相关 CO2 排放增长的主要因素,但能源消费结构优化有利于减排,具体表现为以原煤为代表的高碳能源在推动能源相关 CO2 排放增长的增量上呈下降趋势,而以天然气为代表的清洁能源则呈上升趋势;值得注意的是,中国能源消费结构仍有较大的减排优化空间。②能源需求侧方面,最终需求效应是化石能源碳排放增长的主要驱动力,其中,第二产业的最终需求效应占据主导地位。最终产品的“高碳化”反映了中国在工业化进程中高能源投入的特点。同时,由于第三产业和第一产业的碳排效率优于第二产业,积极优化产业结构有利于减缓需求效应带来的碳排放增长。③投入结构效应是能源碳排放量增长的主要抑制因素,而能源强度效应对能源碳排放量的增长有轻微的驱动作用。结果表明,中国“粗放型”的经济增长模式已得到有效扭转,但化石能源利用效率的优化仍不明显,未来仍有较大空间通过提高化石能源利用效率来抑制碳排放。