| 王辉,常阳,朱健.我国高校科技创新的效率评价与时空分异研究[J].,2017,(6):60-65 |
| 我国高校科技创新的效率评价与时空分异研究 |
| The Measurement and Variation Analysis on Science and Technology Input-output Efficiency of Universities in China |
| 投稿时间：2017-06-13 |
| DOI： |
| 中文关键词: 高校 科技创新效率 效率评价 时空差异 |
| English Keywords:university science and technology input-output efficiency efficiency evaluation space-time difference |
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| 摘要点击次数: 1051 |
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| 中文摘要: |
| 采用DEA-BCC模型比较分析了2003－2013年我国高校科技创新效率以及2013年我国27个省市(海南、宁夏、青海、西藏除外)高校科技创新效率的差异,研究结果表明:2003－2013年的11年间,我国高校科技创新效率整体情况较好,仅有2004、2005、2007和2010年4个年份非DEA有效；2013年27个省市中北京、江苏等11个省的科技创新效率为DEA有效,其中江苏、河南和安徽3省的超效率值排名前3；上海、重庆等16个省市高校科技创新效率非DEA有效,存在投入冗余或产出不足等问题。据此,提出了优化高校科技资源配置,提高科技创新效率的对策建议。 |
| English Summary: |
| Based on the statistics data from 2003 to 2013,DEA-BCC model is used to analyze the variation of science and technology input-output effectiveness of universities in China. It is also used to analyze the variation of Science and Technology input-output effectiveness of universities in 27 different province(Except Hainan,Ningxia,Qinghai,Xizang). The results indicate that only the S&T input-output efficiency in 4,5,2007 and 2010 is in non-DEA effective rate ,and others are in DEA effective rate. It is also found that the S&T input-output efficiency of universities in some provinces are in DEA effective rate,and the superior efficiency of universities in Jiangsu,Henan and Anhui are the top three. Other provinces’ are in non-DEA effective rate because of the problems such as the input redundancy and the output deficiency. This essay put forward some proposes to optimize the allocation of S&T resources,and raise the Science and Technology input-output effectiveness of universities. |
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