基于灰靶理论的区域协同创新能力动态评价与分析  

Dynamic Evaluation and Analysis on Regional Collaborative Innovation Capabilities Based on Grey Target

作　　者：李美娟[1,2] 魏寅坤 徐林明[1] 

机构地区：[1]福州大学经济与管理学院,福州350116 [2]中国科学院科技政策与管理科学研究所,北京100190

出　　处：《科学学与科学技术管理》2017年第8期122-132,共11页Science of Science and Management of S.& T.

基　　金：国家自然科学基金项目(71403055);中国博士后科学基金(2015M570155;2016T90140);国家社会科学基金项目(14BGL119)

摘　　要：为了了解区域协同创新能力的发展水平及变化态势,需要进行动态评价。在灰靶理论基础上,增加时间维度,提出基于灰靶理论的动态评价方法,利用靶心度可以进行模式识别、分级和选优。构建区域协同创新能力评价指标体系,利用基于灰靶理论的动态评价方法对区域协同创新能力进行整体和分项评价与比较分析,结果表明:2009—2013年期间中国省域协同创新能力整体和分项能力还不够强,特别是产出能力较弱,需要提高。各地区区域协同创新能力不断增长,展现出较好发展趋势。地域差异化明显,就总体名次来看,区域协同创新能力东部地区较强,北京、江苏、广东、山东、浙江和上海区域协同创新能力等级较高,排名靠前。西部地区较弱,东北和中部地区处于中游水平。In order to grasp the overall situation and development trend for regional collaborative innovation capabilities, need for dynamic evaluation. The two-dimensional data with time series data is extended to three-dimensional data. Dynamic evaluation method based on grey target theory is put forward. Bull＇s-eye degree analysis can perform pattern recognition, classification and optimal selection. The research shows that regional collaborative innovation capabilities in Chinese provinces and autonomous regions are different from 2009 to 2013. Viewing from their rankings, the regional collaborative innovation capabilities of the eastern coastal areas are at the highest level, those of the northeast and central regions at the middle, and those of the western regions at the lowest.

关 键 词：协同创新 灰靶理论 动态评价方法 三维数据 靶心度 

分 类 号：F061.5[经济管理—政治经济学]