基于DEA的地区科技人才资源配置效率评价

Evaluation of Regional Scientific Talent Resource Allocation Efficiency Based on DEA Model

摘要:

科学地评价科技人才资源配置效率有利于促进地区均衡发展。本文从投入产出角度建立科技人才资源配置评价指标，运用数据包络分析法（DEA）测算2010-2015年全国31个省市科技人才资源配置效率，结果显示：我国科技人才资源配置效率整体水平在高低交错中呈递增趋势，中西部与东部地区差距缩小，而东北地区与东部的差距增大；根据地区科技人才资源配置效率与经济发展的匹配程度，将地区科技人才资源配置效率分为与经济发展水平正向同步型、反向同步型、领先型、落后型四种发展模式；技术效率发挥效力不够、科技投入过多、新产品销售不足影响科技人才资源配置效率。基于此提出了优化科技人才配置效率的建议。

Abstract:

Scientific evaluation of scientific talent resource allocation efficiency is conducive to promoting the balanced development of region.It establishes evaluation index in a "State" and "potential" angle to measure allocation efficiency of scientific talent resources of 31 provinces in 2010-2015 using DEA model from the perspective of input-output.Results show that the overall level of China''s scientific talent resource allocation efficiency is increasing in the high and low level.The gap between the Middle,West and the East is decreasing, while it is getting bigger between the Northeast and the East.According to the matching degree of regional scientific talent resources allocation efficiency and economic development,the provinces are divided into four categories:positive synchronization,reverse synchronization, leading,backward with economic development.Lack of technical efficiency,too much investment in science and technology, lack of sales of new products result in low talent resource allocation efficiency.Based on these, it puts forward some suggestions to optimize the allocation efficiency of scientific talents.