人文社科研究投入绩效提升路径:可达目标研究

Approach to Improving the Input Performance of the Social Sciences and Humanities Research: Achievable Goals

现有关于人文社科研发投入绩效改进方向的研究并不多见。基于教育部人文社科研究省际面板数据,在所提出的新的投入要素绩效分析与改进框架下,通过SBM-Super效率模型测度绩效,将完全有效率的最佳投入作为改进方向,并基于联立方程模型分析投入要素绩效,最后采用BP人工神经网络进行稳健性检验与辅助分析。结果表明:人文社科研究纯技术效率较低,规模效率较高,近年来效率呈下降趋势;人文社科研发经费绩效较低,低于研发劳动力;可达目标情况下研发经费的贡献提升较快,但仍然低于研发劳动力;人文社科现状与可达目标下人文社科投入绩效仍然有较大差距。

The research on how to improve the input performance of the research of social sciences and humanities is scarce. Based on the provincial panel data of the social sciences and humanities research provided by the Ministry of Education, the paper puts forward a new performance analysis and improvement framework of input factors. Firstly, SBM super efficiency model is used to measure the performance, and the best input with full efficiency is taken as the improvement direction. Then, the performance of input factors is analyzed based on the simultaneous equation model. Finally, BP artificial neural network is used to test the robustness and conduct auxiliary analysis. The results show that the pure technical efficiency is relatively low,the scale efficiency is relatively high and the efficiency has declined in recent years;the R&D fund performance is lower than that of R&D labor force;the contribution of R&D funds improves rapidly in the case of achievable goals, but it is still lower than that of the R&D labor force;there is still a big gap in R&D input performance between the current situation and the situation under achievable goals.