区域包容性创新绩效评价研究

发布时间：2018-10-23 10:47

【摘要】：中国长期存在的二元式社会经济结构,城乡、工农业、区域和产业之间的不权衡发展,使得实现包容性发展在中国显得尤为迫切且难度空前。包容性创新通过创新的模式和方法将缓解贫困内置于经济价值的创造过程中,强调以公平的方式为穷人提供价值来促进包容性增长,拓展了传统创新研究的关注和视野。建立一套区域包容性创新发展水平的评价指标,将有助于包容性创新水平的空间差异和时间动态的测量和分析,从而识别一些关键因素,为我国政府制定、实施和监管政策提供有效的参考依据。在构建区域包容性创新评价指标体系过程中,首先基于包容性创新的概念和特征的深入剖析,运用逻辑框架法初选指标。经过相关性分析、鉴别力分析和回归分析对初选指标进行三轮筛选,最终建立包括满足低收入群体需求、产品或服务可获得和可负担、提高福利水平和创新系统包容性4个维度21个指标。然后,运用TOPSIS法、因子分析法和灰度关联系数法对包容性创新水平进行测度,并对三种方法所得的结果进行信度分析,结果显示这三种方法具有高度的一致性。而三种方法加权组合模型的综合信度最高,因此构建的基于信度分析的综合评价法,对30个省市的包容性创新水平进行测度。最后,运用聚类分析法,对包容性创新水平进行区域实证分析,结果表明,区域包容性创新水平在空间上存在明显的异质性,我们大体可以依据包容性创新水平的高度将30各省市分为三类,包容性创新水平大致呈由东到西逐渐降低过度的特征。基于分析结果,并结合中国目前所面临的包容性创新提升障碍,尝试性地提出一些政策建议。
[Abstract]:China's long-standing dual social and economic structure, urban and rural areas, industry and agriculture, regions and industries between the development of non-tradeoff, making it particularly urgent and difficult to achieve inclusive development in China. Inclusive innovation through innovative models and methods will alleviate poverty in the process of economic value creation, emphasizing the fair way to provide value to the poor to promote inclusive growth, expanding the focus and perspective of traditional innovation research. The establishment of a set of evaluation indicators for the development level of inclusive innovation in the region will contribute to the measurement and analysis of spatial differences and temporal dynamics of inclusive innovation levels, thereby identifying some key factors for the development of our government. Implement and supervise the policy to provide the effective reference basis. In the process of constructing regional inclusive innovation evaluation index system, based on the in-depth analysis of the concept and characteristics of inclusive innovation, the logical framework method is used to select indicators. Through correlation analysis, discriminant analysis and regression analysis, three rounds of screening of primary selection indicators are carried out, which ultimately include meeting the needs of low-income groups, the availability and affordability of products or services, Improve welfare level and innovation system inclusiveness 4 dimensions 21 indicators. Then, TOPSIS method, factor analysis method and gray correlation coefficient method are used to measure the inclusive innovation level, and the reliability of the three methods is analyzed. The results show that the three methods have a high degree of consistency. Therefore, the comprehensive evaluation method based on reliability analysis is constructed to measure the inclusive innovation level of 30 provinces and cities. Finally, cluster analysis is used to analyze the level of inclusive innovation. The results show that the level of regional inclusive innovation has obvious heterogeneity in space. We can roughly divide 30 provinces and cities into three categories according to the height of inclusive innovation level, and the level of inclusive innovation is reduced gradually from east to west. Based on the analysis results and combined with China's current barriers to inclusive innovation, some policy recommendations are put forward.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F124.3

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