基于组合权重的万亿GDP城市创新能力评价研究

Research on Evaluation of Trillion GDP Urban Innovation Ability Based on Combination Weight

摘要:

为客观、准确地比较万亿GDP城市的创新能力，确定城市创新能力比较体系中各指标的权重是基础和核心。首先，利用文献分析法及创新成果产出的特征，选取比较指标。其次，采用因子分析法对数据进行降维处理，再利用变异系数法、熵权法及主成分分析法结合最小鉴别信息原理构建组合赋权模型对万亿GDP城市的创新能力进行实证分析。结果表明：影响城市创新能力的主要因素为创新效率、创新实现、创新提升3个因子；万亿GDP城市整体创新能力一般，创新能力较强的城市有北京、深圳、上海、广州；不同城市的创新能力有显著差异，东部地区创新能力强于中西部地区。最后，结合重要影响因素，对如何提高城市创新能力提出对策建议。

Abstract:

In order to objectively and accurately compare the innovation capability of trillion GDP cities, determining the weight of each indicator in the urban innovation capability comparison system is the foundation and core. First of all, using the literature analysis method and the characteristics of innovation output, select the comparison index. Secondly, the factor analysis method is used to reduce the dimension of the data, and then the coefficient of variation method, entropy weight method and principal component analysis method are combined with the principle of minimum discriminant information to construct a combination weighting model to empirically analyze the innovation ability of trillion GDP cities. The results show that the main factors affecting urban innovation capability are innovation efficiency, innovation realization and innovation improvement. trillion GDP city overall innovation ability is general, innovation ability strong cities are Beijing, Shenzhen, Shanghai, Guangzhou ; there are significant differences in the innovation ability of different cities, and the innovation ability of the eastern region is stronger than that of the central and western regions. Finally, combined with important influencing factors, suggestions on how to improve urban innovation capability are put forward.