基于两阶段DEA模型的地区研究与试验发展投入绩效评价研究

Research on the Performance Evaluation of Regional R&D Investment based on the Two-stage DEA Model

数据包络分析(DEA)已被证明是测度地区研究与试验发展(R&D)投入绩效的好方法,对地区研究与试验发展投入带来的效益回馈至两个阶段进行分析,可以保证研发的持续性。因此,结合研究与试验发展投入过程的特征,将其分为直接产出和社会经济产出两阶段,提出DEA的两阶段效率模型,不仅拓展了数据包络分析方法,也促进了地区研究与试验发展投入绩效管理研究。实证结果表明,我国各地区研究与试验发展投入绩效差异大,省际发展不均衡,各省内部不同阶段效率也存在明显差异,实施有针对性的管理是提升绩效的有效措施。

Data Envelopment Analysis (DEA) has been proven to be a good method for measuring the performance of regional R&D investment.It can guarantee the sustainability of R&D by analyzing the benefit feedback of regional R&D investment in two stages.Therefore,in light of the characteristics of the R&D investment process,it can be divided into the two stages of direct output and socio-economic output,and accordingly,a two-stage efficiency model of DEA is proposed,which not only expands the DEA method,but also enhances studies of the R&D investment performance management.The empirical results show that there are great differences in the performance of R&D investment in different regions,unbalanced development between provinces,and obvious differences in the efficiency of different stages within each province.Introducing targeted management is an effective measure to improve performance.