基于ESDA-GWR的安徽省创新产出空间分布及影响因素分析  

Spatial Distribution of Innovation Output and Its Influencing Factors Based on Anhui Province's ESDA-GWR Analysis

作　　者：冯南平[1] 陈思宇[1] 司家兰[2] FENG Nanping CHEN Siyu SI Jialan(Hefei Universily of Technology, Hefei 230009, China Hefei University, HeFei230601, China)

机构地区：[1]合肥工业大学,安徽合肥230009 [2]合肥学院,安徽合肥230601

出　　处：《科技管理研究》2017年第11期78-85,共8页Science and Technology Management Research

基　　金：国家自然科学基金项目"产业转移中创新要素的集聚方式与区域引导策略研究"(71303073);安徽省教育厅人文社会科学基地重点项目"承接产业转移过程中的区域创新能力提升研究"(SK2013A147);安徽省哲学社会科学重点项目"‘互联网+’时代安徽传统产业转型升级研究"(AHSKZ2015D17)

摘　　要：以安徽省16个地级市为研究单元,通过空间自相关分析,发现各地级市创新产出间存在正向的空间相关性,并将这16个地级市划分为不同类型区域;在此基础上,运用地理加权模型兼与OLS模型进行比较,探索不同创新要素对安徽省创新产出的影响及其空间差异性。研究结果表明:R&D人员占比与创新产出呈正相关关系,且影响最为显著;而R&D经费支出占比、工业企业R&D项目数占比和每万元GDP中地方政府对创新活动资金投入对创新产出的影响有正有负。With the help of exploratory spatial data analysis methods, we analyzed the phenomenon of innovation elements agglomeration in Anhui, found that there is a positive correlation between the level of innovation and output. Through the Moran scatter plots and local indicators LISA cluster table, Anhui can be divided into different types： HH region, LL region and LH region. On the basis of comparison with the ordinary least square （ OLS ） , we used the empirical analysis method of geographic weighted regression （ GWR ） to study the effect of different innovation elements on regional innovation output. The results show that R＆D personnel ratio is significantly and positively related to innovation output, while the impact of R＆D expenditure ratio, industrial enterprises R＆D project ratio and capital investment of local government in every 10, 000 yuan of GDP have both positive and negative output on innovation output.

关 键 词：创新产出 探索性空间数据分析 地理加权回归 

分 类 号：F124.3[经济管理—世界经济]