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本文利用数据包络方法(DEA)对我国31个地区2005年科技投入技术效率、技术与规模效率进行总体评价,并利用Tobit回归模型对影响科技投入的无效率因素予以识别。研究表明,我国地区科技投入在效率上存在显著差异,并且不少地区效率低下;科技投入对经济增长贡献总体偏低;技术与规模效率共同有效的地区较少;科技人员和科技经费相对于投入规模而言,其产出效率不高;R&D经费、技术市场成交合同金额是影响科技投入无效率的重要因素。
In this paper, data envelopment method (DEA) is used to evaluate the technical efficiency, technology and scale efficiency of S & T investment in 31 regions of China in 2005, and the Tobit regression model is used to identify the inefficiency factors affecting S & T investment. The research shows that there are significant differences in the efficiency of science and technology investment in our country, and many regions are inefficient; the contribution of science and technology to economy growth is generally low; the common areas of technology and scale efficiency are less; the proportion of science and technology personnel and science and technology investment In terms of scale, its output efficiency is not high; the R & D expenditure and the contract amount in the technology market are the important factors that affect the inefficiency of S & T investment.