基于数据包络分析的17所科研单位投入产出分析

在经济社会发展的转型期,国家越来越重视人民生活和生命健康水平.国家不断加大对科研项目的投入,提高医疗科研水平,改善人民社会生活.然而,国家大量的资金投入是否得到应有的产出是人们普遍关注的问题.利用数据包络分析法,对17所科研单位申请的国家自然科学基金医学科学部一处、二处、三处的2009结题项目进行投入产出相对绩效分析.结果有11所科研单位投入产出DEA有效,即能够较好的利用投入得出相应的产出；有6所单位相对无效,产出没有达到相对较优的状态,造成了投入的浪费.表明通过合理调整科研结构、制定科研绩效目标来不断完善科研管理工作,仍有提升科研整体水平的空间.

Input-output analysis of 17 research institutions with data envelope analysis

As more attention is given to people＇s life and health, China continues to increase investment in scientific research to improve the level of medical research. However, the efficiency of the investment is unknown. In this study, we used the method of data envelopment analysis （DEA） to investigate the input-output relative efficiency of the projects funded by National Natural Science Foundation of China and completed in 2009 at 17 research institutes. We found 11 institutes to be DEA efficient, and 6 to be inefficient. It also showed that adjustment of research structure and setting performance objectives may improve the level of research management and increase the efficency of the investment.