区域创新活动的空间效应及影响因素研究

发布时间：2018-06-18 15:01

本文选题：区域创新 + 空间效应　；参考：《数量经济技术经济研究》2017年11期

【摘要】：研究目标:探究区域创新活动的空间效应及影响因素。研究方法:采用1998~2014年中国30个省份的面板数据,运用空间计量经济学,建立静态与动态空间面板模型,并从地理特征与社会经济特征两方面构建5个空间权重矩阵进行实证分析。研究发现:区域创新活动具有正向空间相关性,并呈现明显的空间集聚现象;地理特征与社会经济特征对区域创新活动均产生影响,其效果以社会经济特征更大;利用动态空间面板模型进行估计优于静态空间面板模型。研究创新:根据地理距离空间矩阵进行的空间相关性检验与RD资本存量新估算方法使模型结果更准确;交通水平距离空间矩阵构建合理。研究价值:进行区域创新空间相关性分析时,可准确选择适当模型、估算方法及影响因素。
[Abstract]:Research objective: to explore the spatial effects and influencing factors of regional innovation activities. Methods: using panel data from 30 provinces in China from 1998 to 2014 and using spatial econometrics, the static and dynamic spatial panel models were established. Five spatial weight matrices are constructed from geographical features and social and economic characteristics for empirical analysis. It is found that the regional innovation activities have positive spatial correlation and show obvious spatial agglomeration phenomenon, the geographical characteristics and the social and economic characteristics have an impact on the regional innovation activities, the effect of which is greater than that of the social and economic characteristics. The dynamic spatial panel model is better than the static spatial panel model. Research innovation: according to the spatial correlation test of geographic distance space matrix and the new estimation method of Rd capital stock, the model results are more accurate, and the construction of traffic horizontal distance space matrix is reasonable. Research value: when analyzing the spatial correlation of regional innovation, the appropriate model, estimation method and influencing factors can be accurately selected.
【作者单位】：哈尔滨工程大学经济管理学院;清华大学经济管理学院;
【基金】：国家自然科学基金项目“基于复杂性的区域创新系统内生耦合与协同演进研究”(71403066) 国家社会科学基金重点项目“区域创新系统中科研院所作用机理与管理政策研究”(14AGL004)的资助
【分类号】：F124.3

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