我国主要城市群基础研究人才的时空分布研究
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摘要
揭示基础研究人才在我国主要城市群的时空分布规律,通过收集2006年至2015年度中国科技核心引文数据库,利用论文作者数量表征城市基础研究人才,选择我国三大城市群(京津冀、长三角、珠三角),通过空间密度,均匀指数,首位度等分析方法,对基础研究人才在主要城市群内的时序变化及空间分布进行研究。结果表明:①我国三大城市群基础研究人才分布均呈现出多中心性;②长三角城市群基础研究人才分布较为均衡,而京津冀城市群和珠三角城市群则分布相对集中;③三大城市群中的首位城市相较于其他城市在人才聚焦方面有明显优势。三大城市群特别是京津冀和珠三角城市群需要注重区内城市的协同发展,促进基础研究人才的均衡分布,以加快区域研究和创新的协同发展。
Aim to reveal the spatial and temporal distribution of professionals in fundamental researches in major urban agglomerations of China, we collected the large amount of authors from the 2006～2015 Chinese Science and Technology Papers and Citations Database(CSTPD) to represent the researchers, and analyzed their temporal variation and spatial distribution in the major agglomerations(Beijing-Tianjin-Hebei Agglomeration, Yangtze River Delta Agglomeration, Pearl River Delta Agglomeration) based on the spatial density, uniformity index, low of primate city, rank-size rule methods. Our results indicate that: ①The distribution of researchers' amount shows the polycentricity mode in the investigated three major agglomerations. ②Moreover, its distribution in Yangtze River Delta Agglomerations is more even compared with that from other two agglomerations. ③Compared with other cities, the first city in the three metropolitan agglomerations has obvious advantages in talentgathering. The results also suggested that the investigated three major agglomerations request efforts on the coordinated development of cities in the areas,especially for Beijing-Tianjin-Hebei Agglomeration and Pearl River Delta Agglomeration, to promote the balance of professional human resources among cities for accelerating the coordinated development of regional research and innovation.
Aim to reveal the spatial and temporal distribution of professionals in fundamental researches in major urban agglomerations of China, we collected the large amount of authors from the 2006～2015 Chinese Science and Technology Papers and Citations Database(CSTPD) to represent the researchers, and analyzed their temporal variation and spatial distribution in the major agglomerations(Beijing-Tianjin-Hebei Agglomeration, Yangtze River Delta Agglomeration, Pearl River Delta Agglomeration) based on the spatial density, uniformity index, low of primate city, rank-size rule methods. Our results indicate that: ①The distribution of researchers' amount shows the polycentricity mode in the investigated three major agglomerations. ②Moreover, its distribution in Yangtze River Delta Agglomerations is more even compared with that from other two agglomerations. ③Compared with other cities, the first city in the three metropolitan agglomerations has obvious advantages in talentgathering. The results also suggested that the investigated three major agglomerations request efforts on the coordinated development of cities in the areas,especially for Beijing-Tianjin-Hebei Agglomeration and Pearl River Delta Agglomeration, to promote the balance of professional human resources among cities for accelerating the coordinated development of regional research and innovation.
引文
[1]张红,孙艳艳,胥彦玲.美国东北都市圈协调发展经验及启示[J].情报工程,2016,2(6):94-100.
[2]Em P.The Concept of Fuzzy Central Place as the Approach to Analyze Distribution of Central Functions Within Urban Agglomerations[C]//ERSA Conference Papers.European Regional Science Association,2014.
[3]张磊,辜寄蓉,刘帅君,等.成渝城市群(四川)经济发展水平评价与分析[J].地理信息世界,2017,24(6):20-22,28.
[4]朱雪坚,刘翔,方剑强.城市群级地理信息公共服务平台中的关键技术与创新研究[J].地理信息世界,2015,22(1):101-104.
[5]赵林度.我国三大城市群物流人才结构比较分析[J].物流技术,2008,27(10):70-73.
[6]张卫枚.长株潭城市群科技人才共享体系构建[J].对外经贸,2012(9):87-89.
[7]于飞,王会强,赵岩红.基于因子分析法的京津冀城市群人才吸引力综合评价[J].保定学院学报,2017,30(3):36-40.
[8]方创琳,宋吉涛,张蔷,等.中国城市群结构体系的组成与空间分异格局[J].地理学报,2005,60(5):827-840.
[9]张祥建,唐炎华,徐晋.长江三角洲城市群空间结构演化的产业机理[J].经济理论与经济管理,2003(10):65-69.
[10]许庆明,胡晨光,刘道学.城市群人口集聚梯度与产业结构优化升级--中国长三角地区与日本、韩国的比较[J].中国人口科学,2015(1):29-37.
[11]曾鹏,陈芬.我国十大城市群等级规模结构特征比较研究[J].科技进步与对策,2013(5):42-46.
[12]柳坤,申玉铭,刘辉.中国三大城市群服务业规模结构及演化特征[J].地理科学进展,2012,31(10):1 289-1 294.
[13]司文峰,胡广伟.我国内地城市电子政务服务能力分布规律--基于地理区域、政务渠道、政务维度综合视角[J].数据分析与知识发现,2018,2(9):1-9.
[14]余传明,郭亚静,龚雨田,等.基于主题时间模型的农村电商扶贫政策演化及地区差异分析[J].数据分析与知识发现,2018,2(7):34-45.
[15]人民出版社.国家新型城镇化规划(2014-2020年)[M].北京:人民出版社,2014.
[16]James B Holt,C P Lo,Thomas W.Hodler.Dasymetric Estimation of Population Density and Areal Interpolation of Census Data[J].Cartography&Geographic Information Science,2004,31(2):103-121.
[17]毛其智,龙瀛,吴康.中国人口密度时空演变与城镇化空间格局初探--从2000年到2010年[J].城市规划,2015,39(2):38-43.
[18]赵虎,李霖,张志军,等.基于扩展空间句法的城区人口密度估算方法[J].测绘科学,2009,34(4):150-152.
[19]罗震东,张京祥.大都市区域空间集聚-碎化的测度及实证研究--以江苏沿江地区为例[J].城市规划,2002,26(4):61-63.
[20]Mutlu S.Urban Concentration and Primacy Revisited:An Analysis and Some Policy Conclusions[J].Economic Development&Cultural Change,1989,37(3):611-639.
[21]Rashid A W,Khairkar V P.Declining City-core of An Indian Primate City:A Case Study of Srinagar City[J].International Journal of Environmental Sciences,2012(4):2 090-2 103.
[22]Chen Y,Zhou Y.The Rank-size Rule and Fractal Hierarchies of Cities:Mathematical Models and Empirical Analyses[J].Environment&Planning BPlanning&Design,2003,30(6):799-818.
[23]Savage S H.Assessing Departures from Log-normality in the Rank-size Rule[J].Journal of Archaeological Science,1997,24(3):233-244.
[24]张超,王春杨,吕永强,等.长江经济带城市体系空间结构--基于夜间灯光数据的研究[J].城市发展研究,2015,22(3):19-27.
[2]Em P.The Concept of Fuzzy Central Place as the Approach to Analyze Distribution of Central Functions Within Urban Agglomerations[C]//ERSA Conference Papers.European Regional Science Association,2014.
[3]张磊,辜寄蓉,刘帅君,等.成渝城市群(四川)经济发展水平评价与分析[J].地理信息世界,2017,24(6):20-22,28.
[4]朱雪坚,刘翔,方剑强.城市群级地理信息公共服务平台中的关键技术与创新研究[J].地理信息世界,2015,22(1):101-104.
[5]赵林度.我国三大城市群物流人才结构比较分析[J].物流技术,2008,27(10):70-73.
[6]张卫枚.长株潭城市群科技人才共享体系构建[J].对外经贸,2012(9):87-89.
[7]于飞,王会强,赵岩红.基于因子分析法的京津冀城市群人才吸引力综合评价[J].保定学院学报,2017,30(3):36-40.
[8]方创琳,宋吉涛,张蔷,等.中国城市群结构体系的组成与空间分异格局[J].地理学报,2005,60(5):827-840.
[9]张祥建,唐炎华,徐晋.长江三角洲城市群空间结构演化的产业机理[J].经济理论与经济管理,2003(10):65-69.
[10]许庆明,胡晨光,刘道学.城市群人口集聚梯度与产业结构优化升级--中国长三角地区与日本、韩国的比较[J].中国人口科学,2015(1):29-37.
[11]曾鹏,陈芬.我国十大城市群等级规模结构特征比较研究[J].科技进步与对策,2013(5):42-46.
[12]柳坤,申玉铭,刘辉.中国三大城市群服务业规模结构及演化特征[J].地理科学进展,2012,31(10):1 289-1 294.
[13]司文峰,胡广伟.我国内地城市电子政务服务能力分布规律--基于地理区域、政务渠道、政务维度综合视角[J].数据分析与知识发现,2018,2(9):1-9.
[14]余传明,郭亚静,龚雨田,等.基于主题时间模型的农村电商扶贫政策演化及地区差异分析[J].数据分析与知识发现,2018,2(7):34-45.
[15]人民出版社.国家新型城镇化规划(2014-2020年)[M].北京:人民出版社,2014.
[16]James B Holt,C P Lo,Thomas W.Hodler.Dasymetric Estimation of Population Density and Areal Interpolation of Census Data[J].Cartography&Geographic Information Science,2004,31(2):103-121.
[17]毛其智,龙瀛,吴康.中国人口密度时空演变与城镇化空间格局初探--从2000年到2010年[J].城市规划,2015,39(2):38-43.
[18]赵虎,李霖,张志军,等.基于扩展空间句法的城区人口密度估算方法[J].测绘科学,2009,34(4):150-152.
[19]罗震东,张京祥.大都市区域空间集聚-碎化的测度及实证研究--以江苏沿江地区为例[J].城市规划,2002,26(4):61-63.
[20]Mutlu S.Urban Concentration and Primacy Revisited:An Analysis and Some Policy Conclusions[J].Economic Development&Cultural Change,1989,37(3):611-639.
[21]Rashid A W,Khairkar V P.Declining City-core of An Indian Primate City:A Case Study of Srinagar City[J].International Journal of Environmental Sciences,2012(4):2 090-2 103.
[22]Chen Y,Zhou Y.The Rank-size Rule and Fractal Hierarchies of Cities:Mathematical Models and Empirical Analyses[J].Environment&Planning BPlanning&Design,2003,30(6):799-818.
[23]Savage S H.Assessing Departures from Log-normality in the Rank-size Rule[J].Journal of Archaeological Science,1997,24(3):233-244.
[24]张超,王春杨,吕永强,等.长江经济带城市体系空间结构--基于夜间灯光数据的研究[J].城市发展研究,2015,22(3):19-27.