(1.School of Economics and Management, Harbin Institute of Technology, Harbin, Heilongjiang150001, China；2.Institute of Oil Economic and Management Research, Northeast Petroleum Univ, Daqing, Heilongjiang163318, China) 在知网中查找 在百度中查找 在本站中查找
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摘要:
针对石化产业提出了解耦状态模型，并运用对数平均迪氏分解(Logarithmic Mean Divisia Index,LMDI)方法构建了石化产业二氧化碳排放的影响因素模型，探索石化产业能源强度、能源结构、能源效率与产业结构对石化产业二氧化碳排放的影响.研究结果显示：中国石化产业经历了4个阶段：强烈的消极解耦阶段(1999-2002年)、扩张负解耦阶段(2003-2007年)、弱解耦阶段(2008-2009年)和强解耦阶段(2010年)，已呈现出“强解耦”的低碳经济特征.能源强度是影响石化产业解耦效果实现的关键性因素，而产业结构调整并没有显示出明显的解耦效果.
Based on the Petrochemical Industry, this paper put forward a decoupling model, and adopted LMDI (Log Mean Divisia Index) method to construct an influencing factor model of carbon dioxide emission, which explored the impacts of industry energy intensity, energy scale, energy efficiency and industrial structure on the carbon dioxide emissions from the Petrochemical Industry. The research indicates that Chinese Petrochemical Industry has gone through four stages: Strong negative decoupling (1999-2002), Expansive negative decoupling (2003-2007), Weak decoupling (2008-2009) and Strong decoupling (2010)，and has taken on low-carbon economical characteristics of"Strong decoupling".The result shows that energy intensity is a key factor influencing decoupling effect, while adjusting industrial structure has failed to show clear decoupling effect.
