摘要
通过使用来自中国国家知识产权局(SIPO,State Intellectual Property Office of China)的专利权转移数据构建中国技术流动网络,并对其演化路径进行了深入分析,发现技术流动主要集中于发达地区间,发达与欠发达地区间也存在较频繁的技术流动,而欠发达地区间的技术流动则较为罕见。文章中使用负二项分布模型、Logit模型和Probit模型对我国技术流动网络演化的影响因素进行了回归分析,结果显示:研发人力资本投入对于区域技术流动的贡献大于研发物质资本投入,这可能是由于人力资本的流动相较于物质资本更加迅速和简单,从而促进了区域技术流动;技术更可能从研发资源密集的地区,譬如北京、上海等,向经济发达的地区转移,譬如广东、江苏和浙江等;
Through examining the technology flow and establishes the technology flow network in China with the data of patent right transfer from SIPO ( State Intellectual Property Office of China), the paper makes an in - depth analysis of the evolution path of technology flow network. The empirical result shows that technology flows mainly concentrate in developed regions; there are also frequent technology flows between developed and less developed regions; in comparison, it is rare to see technology flows between less developed regions. With the Negative Binominal, Logit and Probit Models, this paper shows that R&D personnel makes greater contributions to technology transfer than that of physical R&D input, which may be because the flows of R&D personnel are more convenient and facilitates regional technology transfer; Technologies are more likely to be transferred from R&D resources intensive provinces, e. g. , Beijing and Shanghai, to industrially developed provinces, e. g. , Guangdong, Jiangsu and Zhejiang; Provinces with more imported technologies attempt to acquire more technologies, which suggests that domestic and overseas technologies are complementary. Policy implications are discussed at the end of this study.
出处
《科学学研究》
CSSCI
北大核心
2016年第7期993-1004,共12页
Studies in Science of Science