基于灰靶理论的区域协同创新能力动态评价与分析

发布时间：2019-05-12 02:46

【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。
[Abstract]:In order to understand the development level and changing trend of regional collaborative innovation capability, dynamic evaluation is needed. On the basis of grey target theory, a dynamic evaluation method based on grey target theory is proposed by adding time dimension. The target center degree can be used for pattern recognition, classification and optimization. The evaluation index system of regional collaborative innovation ability is constructed, and the overall and partial evaluation and comparative analysis of regional collaborative innovation ability are carried out by using the dynamic evaluation method based on grey target theory. The results show that the overall and partial capacities of collaborative innovation in China from 2009 to 2013 are not strong enough, especially the output capacity is weak, which needs to be improved. The ability of regional collaborative innovation in each region is growing, showing a good trend of development. The regional differentiation is obvious, as far as the overall ranking is concerned, the regional collaborative innovation ability is stronger in the eastern region, and the regional collaborative innovation ability in Beijing, Jiangsu, Guangdong, Shandong, Zhejiang and Shanghai is higher and ranked first. The western region is weak, and the northeast and central regions are in the middle reaches.
【作者单位】：福州大学经济与管理学院;中国科学院科技政策与管理科学研究所;
【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)
【分类号】：F273.1;F279.27

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