科技型人才聚集的空间结构差异分析与核心区域研究
|
摘要
以科技型人才聚集区域为研究对象,梳理人才聚集空间结构差异的作用机理,并利用探索性空间数据分析和复杂网络方法验证科技型人才聚集的空间相关性,确定出科技型人才聚集的核心区域。研究结果表明:(1)我国科技型人才聚集存在显著空间相关关系,同时人才聚集程度由东向西逐步递减;(2)我国科技型人才聚集分布存在层级结构,但由于人才聚集的外部性使得层级内部成员打破了传统地理距离限制;(3)我国科技型人才聚集的核心区域在各层级中的分布逐年趋于稳定。基于此,提出优化我国科技型人才聚集结构的相关政策建议。
This paper takes the technological talents' aggregation region as the research object, combs the mechanism of talent accumulation differences in spatial structure, and verifies the spatial correlation of scientific and technological talent gathering by using exploratory spatial data analysis and complex network method. The results show that:(1) There is a significant spatial correlation with scientific and technological talent aggregation in China, meanwhile, the degree of talent aggregation is gradually decreasing from east to west.(2) There are hierarchical structures in the distribution of science and technology talents in China, but the externalities of talent gathering make the internal members of the hierarchy break the traditional geographical distance limit.(3) The distribution of core areas of scientific and technological talents in China tends to be stable year by year. Based on these results, this paper puts forward some policy suggestions to optimize the aggregation structure of scientific and technological talents in china.
This paper takes the technological talents' aggregation region as the research object, combs the mechanism of talent accumulation differences in spatial structure, and verifies the spatial correlation of scientific and technological talent gathering by using exploratory spatial data analysis and complex network method. The results show that:(1) There is a significant spatial correlation with scientific and technological talent aggregation in China, meanwhile, the degree of talent aggregation is gradually decreasing from east to west.(2) There are hierarchical structures in the distribution of science and technology talents in China, but the externalities of talent gathering make the internal members of the hierarchy break the traditional geographical distance limit.(3) The distribution of core areas of scientific and technological talents in China tends to be stable year by year. Based on these results, this paper puts forward some policy suggestions to optimize the aggregation structure of scientific and technological talents in china.
引文
[1]牛冲槐,郭丽芳,樊燕萍.区域科技型人才聚集效应和知识创新研究[M].北京:地质出版社,2010.
[2]王锐兰,刘思峰.发达地区创新人才集聚的驱动机制[J].江苏农村经济,2006,29(3):49-50.
[3]牛冲槐,高祖艳,王娟.科技型人才聚集环境评判及优化研究[J].科学学与科学技术管理,2007,28(12):127-133.
[4]ANSELIN L.Spatial econometrics[M]//BALTAGI B.A companion to theoretical econometrics.Oxford:Blackwell Scientific,2008:310-330.
[5]兰芳,邓黎桥,董亮.金融人才聚集的空间溢出效应研究:基于空间Durbin面板模型的实证分析[J].现代财经,2017(5):16-24.
[6]李小建.经济地理学[M].北京:高等教育出版社,2003.
[7]CHRISTOPOULOS D K,TSIONAS E G.Financial development and economic growth:evidence from panel unit root and co integration test[J].Journal of Development economics,2004,73(1):55-74.
[8]龙海明,凌炼,周哲英.现代金融区域辐射力研究:基于长沙对湖南省内其他市州辐射力的实证检验[J].财经理论与实践,2014(3):8-13.
[9]林晓,韩增林,郭建科,等.环渤海地区中心城市金融竞争力评价及辐射研究[J].地域研究与开发,2014,33(6):7-11.
[10]焦继文,郭宝洁.中心城市科技资源集聚辐射力评价[J].统计与决策,2015(23):56-59.
[11]李欣,张平宇,李静.黑龙江省三江平原垦区中心城市选择[J].地理科学,2014,34(6):681-686.
[12]牛冲槐,接民,张敏,等.人才聚集效应及其评判[J].中国软科学,2006(4):118-123.
[13]徐茜,张体勤.基于城市环境的人才聚集研究[J].中国人口·资源与环境,2010,20(9):171-174.
[14]朱杏珍.浅论人才集聚机制[J].商业研究,2002(8):65-67.
[15]郭晨琛,牛冲槐.人才聚集网络下知识转移的影响因素模型构建[J].统计与决策,2014(9):16-19.
[16]刘军.整体网分析讲义:UCINET软件实用指南[M].上海:格致出版社,2009.
[17]CARILLI S,HAVLIN S,KIRKPATRICK S,et al.A model of internet topology using k-shell decomposition[J].Proceedings of the National Academy of Sciences,2007,104(27):11150-11154.
[18]ZHANG G Q,ZHANG G Q,YANG Q F,et a1.Evolution of the internet and its cores[J].New Journal of Physics,2008,10(12):3027-3038.
[19]ALVAREZ-HAMELIN J I,DALL'ASTA L,BARRAT A,et al.K-core decomposition of internet graphs:hierarchies,self-similarity and measurement biases[J].Networks and Heterogeneous Media,2008,3(2):371-393.
[20]CLAUSET A,MOORE C,NEWMAN M E J.Hierarchical structure and the prediction of missing links in networks[J].BoundaryLayer Meteorology,1994,68(4):439-442.
[2]王锐兰,刘思峰.发达地区创新人才集聚的驱动机制[J].江苏农村经济,2006,29(3):49-50.
[3]牛冲槐,高祖艳,王娟.科技型人才聚集环境评判及优化研究[J].科学学与科学技术管理,2007,28(12):127-133.
[4]ANSELIN L.Spatial econometrics[M]//BALTAGI B.A companion to theoretical econometrics.Oxford:Blackwell Scientific,2008:310-330.
[5]兰芳,邓黎桥,董亮.金融人才聚集的空间溢出效应研究:基于空间Durbin面板模型的实证分析[J].现代财经,2017(5):16-24.
[6]李小建.经济地理学[M].北京:高等教育出版社,2003.
[7]CHRISTOPOULOS D K,TSIONAS E G.Financial development and economic growth:evidence from panel unit root and co integration test[J].Journal of Development economics,2004,73(1):55-74.
[8]龙海明,凌炼,周哲英.现代金融区域辐射力研究:基于长沙对湖南省内其他市州辐射力的实证检验[J].财经理论与实践,2014(3):8-13.
[9]林晓,韩增林,郭建科,等.环渤海地区中心城市金融竞争力评价及辐射研究[J].地域研究与开发,2014,33(6):7-11.
[10]焦继文,郭宝洁.中心城市科技资源集聚辐射力评价[J].统计与决策,2015(23):56-59.
[11]李欣,张平宇,李静.黑龙江省三江平原垦区中心城市选择[J].地理科学,2014,34(6):681-686.
[12]牛冲槐,接民,张敏,等.人才聚集效应及其评判[J].中国软科学,2006(4):118-123.
[13]徐茜,张体勤.基于城市环境的人才聚集研究[J].中国人口·资源与环境,2010,20(9):171-174.
[14]朱杏珍.浅论人才集聚机制[J].商业研究,2002(8):65-67.
[15]郭晨琛,牛冲槐.人才聚集网络下知识转移的影响因素模型构建[J].统计与决策,2014(9):16-19.
[16]刘军.整体网分析讲义:UCINET软件实用指南[M].上海:格致出版社,2009.
[17]CARILLI S,HAVLIN S,KIRKPATRICK S,et al.A model of internet topology using k-shell decomposition[J].Proceedings of the National Academy of Sciences,2007,104(27):11150-11154.
[18]ZHANG G Q,ZHANG G Q,YANG Q F,et a1.Evolution of the internet and its cores[J].New Journal of Physics,2008,10(12):3027-3038.
[19]ALVAREZ-HAMELIN J I,DALL'ASTA L,BARRAT A,et al.K-core decomposition of internet graphs:hierarchies,self-similarity and measurement biases[J].Networks and Heterogeneous Media,2008,3(2):371-393.
[20]CLAUSET A,MOORE C,NEWMAN M E J.Hierarchical structure and the prediction of missing links in networks[J].BoundaryLayer Meteorology,1994,68(4):439-442.