Department of Economics and Management, North China Electric Power University, Baoding, 071003, China.
Environ Sci Pollut Res Int. 2019 May;26(14):14616-14626. doi: 10.1007/s11356-019-04693-2. Epub 2019 Mar 15.
With the revitalization of the old industrial bases in Northeast China, the development of the energy industry is particularly significative. The purpose of this paper is analyzing the decoupling of carbon emissions and placing emphasis on Liaoning's energy industry. The researchers used the logarithmic mean Divisia index (LMDI) decompose model to take into account carbon emissions in each energy industry and used the Tapio decoupling model from 2000 to 2015 to seek the decoupling states. The main completion of this study are as follows: (1) The EGH and OPC industry are the dominating components of the carbon emissions of the energy industry. The coal and crude oil accounted for 95% of energy industrial consumption; there is great potential for electricity to replace coal and crude oil. (2) The direction of the changes in economic growth, investment structure, investment dependence, and energy structure is the same as industrial carbon emissions. Meanwhile, energy intensity and energy technology are the opposite during the period. (3) The CMW and PGE industry occurred strong decoupling between carbon emissions and economic output since 2005; there is weak decoupling state in other industry. And the PGE and OPC industry occurred recessive coupling and weak negative decoupling between carbon emissions and energy intensity except 2011 and 2012.
随着中国东北地区老工业基地的振兴，能源产业的发展尤为重要。本文旨在分析碳排放脱钩，并重点关注辽宁省的能源产业。研究人员使用对数平均迪氏分解指数（LMDI）分解模型来考虑各能源产业的碳排放，并使用 Tapio 脱钩模型从 2000 年到 2015 年寻找脱钩状态。本研究的主要完成情况如下：（1）EGH 和 OPC 行业是能源产业碳排放的主要组成部分。煤炭和原油占能源工业消费的 95%；电力具有替代煤炭和原油的巨大潜力。（2）经济增长、投资结构、投资依存度和能源结构变化的方向与工业碳排放相同。同时，在这期间，能源强度和能源技术则相反。（3）自 2005 年以来，CMW 和 PGE 行业的碳排放与经济产出之间出现了强脱钩；其他行业则处于弱脱钩状态。除 2011 年和 2012 年外，PG 和 OPC 行业的碳排放与能源强度之间存在隐性耦合和弱负脱钩。
