摘要
以341个地级层面区域作为空间观测单元,以专利申请受理数作为衡量指标,对中国1997~2009年期间地级区域创新产出的时空特征进行了ESDA分析。结果表明:中国地级区域创新产出的地域性特征显著,首先表现为全局上的地理集聚和地带间的巨大差异;但不同于省级空间尺度下地带内部区域创新显著的极化特征,地级空间尺度区域创新却呈现多样化的局部空间依赖模式。整体上,创新产出在地级空间尺度上自然形成2个显著的空间集群,即东部沿海的H-H集群和西部内陆的L-L集群。东部H-H集群在考察期内由东北和华北地区逐渐向山东半岛、长三角和珠三角地区转移,西部L-L集群的空间发展则相对稳定;H-L型集群和L-H型集群主要分布在中部地区和东中西邻接地区,创新的空间过渡特征明显。最后在实证分析的基础上,提出了政策建议和未来研究的方向。
With the development of the new economic geography, spatial structure study of regional innovation becomes more and more important. Using the methods of exploratory spatial data analysis(ESDA)and spatial analysis software Geoda, the article analyzes the spatial distribution of innovation outputs in China, measured by the number of patent applications examined, throughout 341 prefecture-level cities from 1997 to 2009 of China. A significantly high level of spatial concentration and regional difference of innovation outputs among Chinese cities has been captured by the exploratory spatial data analysis, and the concentration level has increased steadily over the past years. Different from the significant polarization characteristics of innovation within the provincial spatial scale regions, prefecture level regional innovation showing a diversity local spatial dependent model. On the whole, the output of innovation in the prefecture level spatial scales naturally formed two distinct spatial clusters, named the eastern H-H cluster and the western L-L cluster. The eastern H-H cluster gradually transferred to the Shandong Peninsula, the Huanghe River Delta and the Zhujiang River Delta from the northeast and North China in the study period, while the western L-L cluster spatial development maintains relatively stable. The H-L clusters and L-H clusters are mainly distributed in the middle and join area, which shows an obvious characteristic of transition. This study can provide a scientific basis for the spatial correlation of innovation outputs among prefecture-level cities, and reflects the knowledge spillover and its spatial limitations of regional innovation which make a significant contribution to the evolution of Spatial-temporal pattern of innovation in China. Finally, on the basis of empirical analysis, policy suggestions and future research direction are proposed.
出处
《地理科学》
CSCD
北大核心
2014年第12期1438-1444,共7页
Scientia Geographica Sinica
基金
国家社会科学基金青年项目(13CJL063)
重庆市社会科学规划项目(2012BS07)资助
