基于DEA的生物领域研究所规模收益分析

科研管理 ›› 2015, Vol. 36 ›› Issue (1): 104-111.

基于DEA的生物领域研究所规模收益分析

杨国梁¹, 刘文斌²

1. 中国科学院科技政策与管理科学研究所, 北京 100190;
2. Kent Business School, University of Kent, CT2 7PE Canterbury, Kent, UK

收稿日期:2012-12-03 修回日期:2014-06-23 出版日期:2015-01-25 发布日期:2015-01-23
作者简介:杨国梁(1977-), 男(汉族), 河北唐山人, 中国科学院科技政策与管理科学研究所(副研究员), 研究方向:决策方法, 科技管理.注:1科技日报, 2011年12月1日.
基金资助:
国家自然科学基金资助项目(基于DEA方法的科研机构方向规模收益研究;编号:71201158;起止时间:2013.1-2015.12).

Analysis of returns to scale of the biological institutes based on DEA method

Yang Guoliang¹, Liu Wenbin²

1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
2. Kent Business School, University of Kent, CT2 7PE Canterbury, Kent, UK

Received:2012-12-03 Revised:2014-06-23 Online:2015-01-25 Published:2015-01-23

摘要/Abstract

摘要： 本文旨在分析2011年中国科学院15个生物领域研究所的规模收益变化情况.首先,本文提出分析所用的投入产出指标:人员、经费、SCI论文、高质量论文和研究生培养;其次,本文采用杨国梁(2012)提出的基于DEA的方向规模收益、最优投入方向以及"方向阻塞"效应的判断方法深入分析中科院生物领域研究所的方向规模收益、最优投入方向以及"方向阻塞"效应.基于以上分析,我们发现:一是通过规模收益分析,可以找到各研究所规模收益递增(递减、不变)的区域,以及投入进一步增加和减少的最优方向,作为研究所调整其组织规模的决策依据之一;二是通过"方向阻塞"效应的分析,我们发现部分研究所存在"阻塞"效应,同时在某些方向上存在"方向阻塞"效应.在这种情况下,进一步增加投入会导致产出的降低,因此研究所需要深入挖掘导致"阻塞"效应的原因,避免进一步扩大投入的规模,才能实现科技资源合理配置和高效利用.

关键词: 科研机构, 规模收益, 方向规模收益, 阻塞, 方向阻塞

Abstract: This paper aims to analyze the returns to scale of 15 biological institutes in Chinese Academy of Sciences. Firstly, this paper proposed the indicators, including staff, research funding, SCI paper, high-quality paper and graduate training, etc., as the basis for this research. Secondly, this paper uses the methods proposed by Yang to determine directional RTS, optimal inputs direction and congestion effect to investigate the corresponding information of biological institutes. Based on the above analysis, we have the following findings: (1) we can detect the regions with increasing (constant, decreasing) directional returns to scale and the optimal input directions of each institute; (2) we find that directional congestion effect exists in some institutes, and the increase of inputs will cause the decrease of outputs. So these institutes should avoid increasing inputs further and investigate the deep reason for congestion so that the S&T resources can be used more efficiently.

Key words: research institute, returns to scale, directional returns to scale, congestion, directional congestio

中图分类号:

F204

杨国梁, 刘文斌. 基于DEA的生物领域研究所规模收益分析[J]. 科研管理, 2015, 36(1): 104-111.

Yang Guoliang, Liu Wenbin. Analysis of returns to scale of the biological institutes based on DEA method[J]. Science Research Management, 2015, 36(1): 104-111.

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