收稿日期: 2014-10-31
修回日期: 2015-03-23
网络出版日期: 2015-09-15
基金资助
国家自然科学基金(41371135)、吉林省科技引导计划软科学项目(20120635)和中国科学院知识创新工程重要方向项目(KZCX2-YW-342-2)资助
Efficiency evaluation of equipment manufacturing industries in Northeast China based on DEA model
Received date: 2014-10-31
Revised date: 2015-03-23
Online published: 2015-09-15
运用DEA模型和Malmquist指数法,对2006和2012年东北老工业基地7类装备制造业的投入-产出效率及全要素生产率(TFP)变化进行分析.结果表明:东北三省各类装备制造业总体上呈优势互补状态;2012年辽宁省7类行业均为规模收益递减,吉林省有6类、黑龙江省有3类行业达到规模收益最佳;东北三省6年间TFP变化最大的行业为电气机械及器材制造业和专用设备制造业;黑龙江省的计算机、通信及电子设备制造业和吉林省的交通运输设备制造业、通用设备制造业的TFP变化明显高于全国平均水平.通过分析,给出东北三省各装备制造业达到最佳投入-产出水平的指标调整值.
关键词： DEA模型; Malmquist指数法; 东北老工业基地; 装备制造业; 效率评价
马晓蕾 , 马延吉 . 基于DEA模型的东北老工业基地装备制造业效率评价[J]. 中国科学院大学学报, 2015 , 32(5) : 627 -634 . DOI: 10.7523/j.issn.2095-6134.2015.05.008
In this work, we used DEA model and Malmquist index method to evaluate the efficiency of input-output and the TFP(total factor productivity) change of the equipment manufacturing industries in Northeast China in the years of 2006 and 2012. The results show that the advantages of the equipment manufacturing industries in Northeast China present a mutually complementary state. Seven industries in Liaoning province are in the stage of the decreasing returns to scale, while six industries in Jilin province and three industries in Heilongjiang province achieve the best returns to scale. During the six years, the TFP changes of the electric equipment manufacturing industries and the special purpose machinery manufacturing industries in Northeast China are the biggest. In addition, the TFP change of the computer, the telecommunication, and other electronic equipment manufacturing industries in Heilongjiang province and the transport equipment manufacturing and general purpose machinery manufacturing industries in Jilin province are significantly higher than the national average. On the basis of the analysis, we give the adjustment values for achieving the best index of input-output level of the equipment manufacturing industries in Northeast China.
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