摘要
以数据包络分析法为理论工具,从生产效率的视角对安徽省大中型工业企业的37个行业2009年的综合效率、纯技术效率以及规模效率进行总体评价,并对不同技术水平的行业进行归类定量分析,在此基础上通过Tobit模型对工业生产无效率的影响因素予以识别。研究发现:①不同技术水平行业总体上生产效率较低,纯技术无效率是主要根源;②工业生产普遍存在从业人员拥挤和产出不足现象;③行业绩效是影响工业生产无效率的最主要因素。
On the basis of the DEA method,this paper evaluates overall technical efficiency,pure technical efficiency and scale efficiency for 37 sub-sectors of Large and Medium-sized Industrial Enterprises in Anhui province in 2009 from the perspective of production efficiency,and analyses the units in different skill levels by Quantitative method.Then recognizes the inefficiency factors of industrial production based on Tobit Model.It finds that：（1）industies in the different skill levels are still at a relative low level of production efficiency,and pure technical inefficiency is the main cause;（2） The phenomena of employees crowded and output insufficiency is generally existing in Infustry production.（3）Industry Performance is the most important factor evidently affecting the industial production inefficiency.
出处
《科技和产业》
2011年第1期49-55,88,共8页
Science Technology and Industry
关键词
工业企业
数据包络分析
效率测评
TOBIT模型
industrial enterprises
data envelopment analysis
efficiency evaluation
tobit model
