摘要
目的:研究我国药品区域研发创新的布局现状和空间分异特征,为区域药品研发创新提供基础信息。方法:以专利数据作为创新产出的衡量指标,以中国大陆31个省域作为空间观测单元,借助Geo DA地理信息系统软件提供的空间分析技术,对我国药品区域研发创新进行空间分异分析。结果:专利可视化分布图显示了我国区域药品研发创新的地理聚集特征;Moran's I指数表明了我国区域药品研发创新具有明显的空间正自相关性;Moran散点图进一步指出了各省份药品研发创新的空间相关模式,基本属于H-H集聚和L-L集聚类型。结论:我国药品区域研发创新在地理空间上呈现非均衡分布,存在着明显的集群倾向。其中,沿海集群地区是全国药品研发创新水平较高的区域,中西部集群地区是全国药品研发创新水平较低的区域。这些结果将有利于各省区正确认识区域药品研发创新能力及其差异的地理特性影响,以更好地做出区域创新发展规划和研发投资决策。
Objective： To analyze the current layout of China pharmaceutical RD innovation, so as to provide references for investors and government. Methods： Based on Geo DA system, 31 provinces in China's Mainland were selected as observation units. The number of drug patents was selected as proxy variant to measure innovation output. Results： The clustering propensity of regional pharmaceutical RD innovation in China was presented in the patent visible map. The provincial RD innovation with significantly positive spatial autocorrelation was identified by Moran＇s I index. In addition, the Moran scatter plot showed High-High and Low-Low differentiation of the innovation clusters. Conclusion： China regional pharmaceutical RD innovation exhibited unbalanced distribution and tended to cluster in space. Most innovation behaviors occurred in eastern coastal areas. These findings will help to find the geographic features of China regional pharmaceutical RD innovation so as to make a better decision about the regional innovation development planning and RD investment.
作者
宋燕
甄天民
Song Yan Zhen Tianmin(Institute of Medicine and Health Information, Shandong Academy of Medical Sciences, Jinan 250062, China Soft Sciences Research Center for Health Services and Management Innovation of Shandong Province, Jinan 250062, China)
出处
《中国药事》
CAS
2016年第11期1051-1055,共5页
Chinese Pharmaceutical Affairs
基金
国家自然科学基金青年项目(编号71503149)
山东省医药卫生科技发展项目(编号2015WS0174)
山东省人文社会科学课题(编号15-ZC-JJ-10)
山东省艺术科学重点课题(编号1506029)
山东省医学科学院医药卫生科技创新工程
关键词
药品研发
专利分析
创新集群
空间分异特征
区域分布
空间计量分析
pharmaceutical research and development
patent analysis
innovation cluster
spatial differentiation characteristics
space distribution
spatial econometric analysis
