中国R&D人员流动的空间分布及其影响因素分析  

Spatial Distribution and Influencing Factors of R&D Personnel Flow in China

作　　者：李婧[1] 产海兰 LI Jing;CHAN Hai-lan(School of Business,Nanjing Normal University,Nanjing 210023,China)

机构地区：[1]南京师范大学商学院,南京210023

出　　处：《研究与发展管理》2018年第4期94-104,共11页R&D Management

基　　金：国家自然科学基金资助项目"基于空间相关的区域间创新协调发展研究"(71303122)

摘　　要：利用2007—2014年中国30个省区面板数据,考察了R&D人员的流动分布及其影响因素.在利用人口迁移引力模型对R&D人员流动测度基础上,应用Moran I指数考察R&D人员流动的空间自相关特征;考虑R&D人员流动的空间相关性,建立空间滞后模型和空间误差模型,考察各种区域特征对R&D人员流动的影响.研究发现:中国R&D人员的区域流动规模庞大且存在地区差异性,东部沿海发达地区呈现出"高—高"聚集的R&D人员流动态势,而西部地区则处于R&D人员流动"低—低"聚集分布的洼地;工资、消费、就业等物质财富特征对R&D人员流动的影响并不显著,而技术创新水平、医疗服务、公共交通和环境质量等区域发展特征对R&D人员流动具有显著的正向吸引作用.Using the panel data of 30 provinces in China from 2007 to 2014, it explored the flow distribution of R＆D personnel and its influencing factors. It used the modified gravity model to measure the amount of R＆D personnel mob- ility, and described the pattern of R＆D personnel flow by the method of Moran I index ; considering the spatial correla- tion, it constructed spatial lag model and spatial error model to estimate regional characteristics influencing R＆D per- sonnel mobility. The results show： R＆D personnel flow is large scale in China, and there are regional differences： the eastern coastal developed areas show a trend of high-high aggregation, and western regions where the economy is rela- tively backward show a low-low flow distribution ; the influence of material wealth, such as wages, consumption and em- ployment stability, is not significant, while technological innovation, medical service, public transportation and envi- ronmental quality have positive effects on attracting R＆D personnel.

关 键 词：R&D人员流动 空间分布 空间面板模型 引力模型 

分 类 号：F207[经济管理—国民经济]