首页 | 本学科首页   官方微博 | 高级检索  
     检索      

中成药大品种科技投入对科技产出影响的时效分析
引用本文:倪力军,曾婷,谢婷,张立国.中成药大品种科技投入对科技产出影响的时效分析[J].科技管理研究,2015(10).
作者姓名:倪力军  曾婷  谢婷  张立国
作者单位:华东理工大学,上海,200237
基金项目:中医药行业科研专项“中医药科技项目绩效评估与体系建设(II)---科技项目对中药产业影响的量化评估体系建设”
摘    要:从万方数据库搜集48个典型中成药品种2002-2010年科技投入项目数及论文综合影响因子,通过分析不同滞后年度下科技投入与论文产出指标间的相关系数,判断科技投入的起效时间。剔除16个相关系数很小甚至为负的品种后,剩余32个品种中有10个品种的科技投入当年起效,其余22个品种存在不同程度的滞后。提出的时效分析方法可量化评估科技投入起效的迟滞时间,为科技项目管理与评估提供考核参数,有助于客观有效地评估与管理科技项目。

关 键 词:中成药  科技投入  科技产出  时效分析
收稿时间:2014/4/14 0:00:00
修稿时间:2015/5/12 0:00:00

The aging analysis of the impact of S
NI Lijun,ZENG Ting,XIE Ting,ZHANG Liguo.The aging analysis of the impact of S[J].Science and Technology Management Research,2015(10).
Authors:NI Lijun  ZENG Ting  XIE Ting  ZHANG Liguo
Abstract:The Science Technology (S T) projects and the comprehensive impact factor of the papers about 48 varieties of typical Traditional Chinese Medicines (TCMs), which were published in 2002-2010, were collected from WANFANG database. By analyzing the correlation coefficient between the S T projects in different lag years and the output index, the onset time of S T input was evaluated. Among the 32 varieties of TCM that excluded 16 varieties of small and negative correlative coefficients, S T worked for 10 varieties of TCMs in the same year and worked delay in different degree for other 22 varieties of TCMs. The average lag year and the variance of the lag year were 2.88 and 6.18, respectively. The proposed method for determining lag time of S T project could quantitatively evaluate the lag year of S T input, which could provide assessment parameters for the management and evaluation of S T projects. It is beneficial for evaluating and managing S T projects more objectively and effectively.
Keywords:traditional Chinese medicines  science &technology input  science &technology output  aging analysis
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《科技管理研究》浏览原始摘要信息
点击此处可从《科技管理研究》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号