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机构地区:[1]东北财经大学数学与数量经济学院,大连116025 [2]中国科学院预测科学研究中心东北分中心,大连116025
出 处:《资源科学》2013年第9期1790-1800,共11页Resources Science
基 金:教育部人文社会科学研究青年项目(编号:13YJC790023);国家自然科学基金项目(编号:71171035;71271045;71201019和70901016);辽宁省高校创新团队支持计划项目(编号:WT2011004)
摘 要:本文将二氧化碳排放纳入工业能源绩效的评价体系之中,基于SBM方向距离函数及Luenberger指数测度了2000-2010年我国工业36个行业的能源效率与生产率,利用核密度估计分析了能源效率的动态演进,并对其驱动因素进行了实证分析。研究结果表明:工业低碳能源效率高于传统能源效率,其中制造业的低碳能源效率最高,其次为供应业,采掘业最低;考察期内工业行业的最优生产前沿不断外移,低碳技术边界越来越偏离规模报酬不变技术;核密度分析可知,大多数工业行业由于生产率提高使得能源效率得到不同程度的改善;驱动因素分析显示,工业行业存在能源利用的规模经济,能源结构对行业能源绩效具有显著的抑制作用,资本深化对工业行业能源效率的影响为正,而对生产率具有显著的负面影响,马歇尔外部性与工业行业能源绩效存在U型关系,本研究框架里不支持污染天堂假说。Here,carbon dioxide emissions were taken into the industrial energy performance evaluation and based on SBM directional distance function and the Luenberger index,we measured dynamic changes in energy efficiency and productivity for China's 36 industries and decomposition from 2000-2010.We found that low carbon energy efficiency was higher than conventional energy efficiency.In the measure of low carbon energy efficiency,the energy efficiency of the manufacturing industry was the highest,followed by power,gas and water production and the supply industry.The optimal production frontier has been constantly shifting,the low carbon technology boundary has deviated more and more from the constant returns to scale technology.Influence factor analysis showed that the industry contains the economic scale of energy use;energy structures had a significant inhibition effect on energy efficiency and productivity of the industry;the capital deepening effect of low carbon energy efficiency in industry was positive and had a negative impact on green productivity;industry concentration showed a U relationship between the degree of significant industry low carbon energy efficiency and productivity.This research framework did not support the pollution haven hypothesis.
关 键 词:低碳经济 工业能源绩效 CO2排放 SBM方向距离函数 LUENBERGER指数
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