基于DEA的我国钢铁企业节能减排潜力研究被引量：13

Research on Potential for Energy-saving and Emission-reducing in the Iron and Steel Industry Based on DEA

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摘要本文基于数据包络分析(DEA)的基础理论和方法,从不期望产出的角度出发,将钢铁产业污染物排放作为一种非期望输入引入到数据包络分析模型中,并将该模型应用于我国钢铁产业生态效率评价及节能减排潜力的研究。研究结论表明,我国各钢铁企业生态效率总体上不高,但呈现出逐渐增强的趋势;通过进一步的钢铁企业效率改进分析得知,我国钢铁企业还存在着较严重的投入拥挤和产出不足现象,仅从钢铁企业的47家样本来看,我国钢铁企业有着巨大的节能减排潜力。 Based on the DEA（Data Envelopment Analysis） theory and methods for efficiency evaluation,this paper,from the angle of undesirable outputs,brings the pollutant emissions,acting as the undesirable input,into the data envelopment analysis model（DEA）and then conducts a systematic,scientific and dynamic evaluation about China＇s eco-efficiency and potential for energy-saving and emission-reducing in the iron and steel sector.The research results show that：the whole eco-efficiency in the steel industry is not high,but witnesses a fluctuating upward trend;Through further analysis of efficiency improvement in the iron and steel industry,it illustrates that there are still serious phenomena,such as over inputs and inadequacy output,which means there is still large potential for energy-saving and emissionreducing in China＇s iron and steel industry.

作者杜春丽

机构地区武汉工程大学

出处《工业技术经济》 CSSCI 2011年第7期101-107,共7页 Journal of Industrial Technological Economics

关键词 DEA 钢铁企业节能减排潜力 DEA the iron and steel industry energy-saving and emission-reducing potential

分类号 F416.31 [经济管理—产业经济]

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