基于三阶段DEA模型的我国工业效率评价研究

A Research into China's Industrial Efficiency Based on Three-stage DEA Model

使用三阶段DEA模型对2016年我国31个省份(不包括港澳台)工业部门投入产出进行分析。研究结果显示:通货膨胀、失业率、专业人才培养能力、区域的人均可支配收入对工业投入冗余有显著影响。进一步剔除随机扰动的影响之后,发现传统DEA对工业投入产出效率分析存在一定偏误;各省份规模效率差异较大;东中西部经济地带工业效率依次降低,西部经济地带区域内工业效率差异最大。要提升各省份工业效率,就应重视宏观经济的主要指标对工业生产的冲击作用;加强产学研间的联合,有计划地培养专业人才;完善就业匹配机制,提高人才利用效率;注重规模效益,合理布局工业生产。

Using the three-stage DEA model,this paper analyzes the 2016 input and output of industrial sectors of China’s31provincial administrative units(Hong Kong,Macao,and Taiwan not included).The results of the study are as follows:the factors including inflation,unemployment rate,professionals training and regional per capita disposable income have significant impact on industrial input redundancy;when the influence of random disturbance is eliminated,the conventional DEA causes errors in the analysis of industrial input-outputefficiency;the scale efficiency varies greatly from province to province;the industrial efficiency in East,Central and West China decreases in turn;the difference of industrial efficiency within West China is the largest.In order to further improve the industrial efficiency,attention should be paid to the impact of the main macroeconomic indicators on industrial production;industry-university-researchcooperation be strengthened to train more professionals;the mechanism for matching employment with industry be improved to promote the efficiency of human resources;and attention also be paid to the scale efficiency and industrial sectors be rationally set up.