本文将DEA模型和Malmquist指数相结合,对中国省级自然科学基金管理效率进行研究。结果表明,中国省级自然科学基金的技术管理效率平均值为0.895、综合管理效率平均值为0.849、规模管理效率平均值为0.956。技术管理效率及综合管理效率等之间存在一定差距,技术管理效率是影响中国省级自然科学基金管理效率的主要因素。DEA测算有效性表明,有七个省的自然科学基金管理效率为DEA有效水平；山西、河北、新疆、辽宁的自然科学基金管理效率为较低水平。2015年到2019年,中国省级自然科学基金技术管理效率为降低趋势,影响综合管理效率的主要因素是技术管理效率。在此基础上,提出明确省级自然科学基金功能定位、立足区域发展特点开展项目资助、建立基于效率的项目绩效评价体系等对策建议。

In this paper,DEA model and Malmquist index are combined to study the management efficiency of provincial natural science funds. The results show that the average efficiency of technology management is 0.895,the average of comprehensive management efficiency is 0.849,and the average of scale management efficiency is 0.956. There is a certain gap between the efficiency of technical management and the efficiency of comprehensive management. The efficiency of technical management is the main factor affecting the management efficiency of provincial natural science funds in China. The effectiveness of DEA calculation shows that the management efficiency of natural science funds in seven provinces is DEA effective level,while that of Shanxi,Hebei,Xinjiang and Liaoning is relatively low. From 2015 to 2019,the technical management efficiency of provincial natural science funds in China will decrease,and the main factor affecting the efficiency of comprehensive management is the efficiency of technical management. This paper proposes to clarify the functional positioning of provincial natural science funds, carry out project funding based on the characteristics of regional development, and establish an efficiency-based project performance evaluation system.

1.广东省科技基础条件建设领域项目“基础与应用基础研究基金数据库建设”(2018B030318001)；2.广东省软科学研究领域项目“粤港澳大湾区科技制度创新系列专题研究”(2018B070715001)；3.广东省公益研究与能力建设项目“面向2035年的前沿基础科学与颠覆性创新发展研究”(2019B101003002)。