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DEA Efficiency of Energy Consumption in China’s Manufacturing Sectors with Environmental Regulation Policy Constraints

机译:环境规制政策约束下中国制造业的能源消耗DEA效率

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Because overall energy consumption intensity in China’s manufacturing industry is extremely high, the study of energy efficiency in that industry, with an analysis of the policy impacts of energy intensity reduction and other key factors, will no doubt improve energy utilization in the industry and stimulate sustainable development within it. This paper uses 2004–2014 panel data of 28 manufacturing industries and a piecewise linear utility function to construct a data envelopment analysis (DEA) model of energy consumption with environmental regulations constraints. We also examine the DEA evaluation of energy efficiency in manufacturing industries. We integrate environmental regulations as qualitative variables into the energy consumption evaluation model to research the coupling effects on energy consumption intensity of energy consumption structure, opening up, environmental regulations, technological progress, and competition within industries. The research shows that energy efficiency policy intensity is not the major effect on the development of low or moderate energy-consumption industries, whereas low-energy-efficiency policy is very favorable for the development of high energy-consumption industries.
机译:由于中国制造业的总体能源消耗强度非常高,因此对该行业的能源效率进行研究,并分析降低能源强度的政策影响和其他关键因素,无疑将提高该行业的能源利用率并刺激可持续发展。在其中发展。本文利用28个制造业的2004-2014年面板数据和分段线性效用函数,构建了具有环境法规约束的能耗数据包络分析(DEA)模型。我们还研究了DEA对制造业能源效率的评估。我们将环境法规作为定性变量整合到能耗评估模型中,以研究能耗结构,开放,环境法规,技术进步和行业内部竞争对能耗强度的耦合效应。研究表明,能源效率政策强度不是对中低能耗行业发展的主要影响,而低能效政策对高能耗行业的发展非常有利。

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