基于三阶段DEA模型的工业生产效率研究

Industrial production efficiency based on a three-stage DEA model

本文运用三阶段DEA(数据包络分析)模型对我国2009年工业生产效率进行实证研究。结果表明:三阶段DEA模型对工业生产效率进行测度比传统DEA方法更为合理;资源利用水平、人均居民消费、人均国内生产总值、财政支出占生产总值的比例、民营资本所占份额和对外开放水平等环境变量对工业生产效率有着显著影响,各省市应该努力改善环境要素,创造工业生产效率提高的良好环境;各省市应该根据自身所处工业生产效率类型采取提高技术效率和扩大工业生产规模等措施,增强工业生产效率发展内在动力。

By using the three stage Data Envelopment Analysis （DEA） model, the industrial production efficiency of China in 2009 is studied. The results indicate that a three - stage DEA model is more reasonable than the traditional DEA method for measuring the efficiency of industrial production ; the variables of the level of resource utilization, the per capita consumption, the per capita GDP, the ratio of financial expenditure to GDP, the ratio of private capital to total capital, and the level of openness to the outside world have significant effects on industrial production efficiency, and each province in China should strive to improve the environmental factors and create a favorable environment for improving the industrial production efficiency; each province should take the measurements to improve the technical efficiency and expand the industrial production scale, strengthening the internal driving force of industrial production efficiency according to their own types of industrial production efficiency.