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R&D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。
Research Objectives： This paper is to study the spatial effect and influencing factors of regional innovation activities. Research Methods： Combining the static and dynamic spatial panel models and building the five spatial weight matrices based on geographical and socio-e- conomic features, this paper uses the panel data of Chinese 30 provinces during 1998~2014 to analyze regional innovation activities with spatial econometric analysis technique. Research Findings： The results show that regional innovation activities have a positive spatial correla- tion, and present a significant spatial agglomeration phenomenon. Geographical and socio-e- conomic features both have an impact on regional innovation activities, and the impact of so- cio-economic features is greater. The dynamic spatial panel model is better than the static spatial panel model. Research Innovations： Spatial correlation tests based on geographic dis- tance matrix and the new estimation method of R＆D capital stock make the results of models more accurate. It is reasonable to construct the traffic level distance matrix. Research Value： When the spatial correlation analysis of regional innovation is carried out, it is possible to select the appropriate model, estimation method and influencing factors.
出处
《数量经济技术经济研究》
CSSCI
CSCD
北大核心
2017年第11期63-80,共18页
Journal of Quantitative & Technological Economics
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
关键词
区域创新
空间效应
影响因素
空间面板模型
Regional Innovation
Spatial Effect
Influencing Factors
Spatial Panel Model
