山东、江苏和广东省的城镇化状态与驱动因子
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摘要
文章从城镇化率、区域差异、城市规模、核心城市等5个方面系统分析了山东、江苏和广东省城镇化状态;运用因子分析和多元回归分析系统分析了3省城镇化驱动因子.研究表明:3省城镇化率均高于全国平均水平,江苏和广东两省趋于城镇化稳定发展阶段;广东省区域差异最大,山东次之,江苏最小;3省均属双核心城市省份,首位度均较低;济南和南京集聚人口能力有限,深圳、广州、苏州和青岛的核心地位突出;经济发展水平、投资与产业结构转换能力、基础设施供给能力是影响3省城镇化发展的主要因素.
The paper analyses the urbanization status of Shandong,Jiangsu and Guangdong Province from five aspects:urbanization rate,regional differences,city scale and core cities,and uses factor analysis and multiple regression analysis to analyze the driving factors of urbanization in the three provinces.The research shows that the urbanization rate of the three provinces is higher than the national average level,and the urbanization of Jiangsu and Guangdong tends to develop steadily;the regional difference of Guangdong Province is the biggest,followed by Shandong Province and Jiangsu Province is the smallest;the three provinces belong to the dual-core city provinces,with low primacy;the agglomeration capacity of Jinan and Nanjing is weak,and the core status of Shenzhen,Guangzhou,Suzhou and Qingdao is significant;and the main factors affecting the urbanization development of the three provinces are the level of economic development,the ability of investment and industrial structure transformation,and the ability of infrastructure supply.
The paper analyses the urbanization status of Shandong,Jiangsu and Guangdong Province from five aspects:urbanization rate,regional differences,city scale and core cities,and uses factor analysis and multiple regression analysis to analyze the driving factors of urbanization in the three provinces.The research shows that the urbanization rate of the three provinces is higher than the national average level,and the urbanization of Jiangsu and Guangdong tends to develop steadily;the regional difference of Guangdong Province is the biggest,followed by Shandong Province and Jiangsu Province is the smallest;the three provinces belong to the dual-core city provinces,with low primacy;the agglomeration capacity of Jinan and Nanjing is weak,and the core status of Shenzhen,Guangzhou,Suzhou and Qingdao is significant;and the main factors affecting the urbanization development of the three provinces are the level of economic development,the ability of investment and industrial structure transformation,and the ability of infrastructure supply.
引文
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[13]王发曾,程丽丽.山东半岛、中原、关中城市群地区的城镇化状态与动力机制[J].经济地理,2010,30(6):918-925.
[14]张果,任平,周介铭,等.城乡一体发展的动力机制研究[J].地域研究与开发,2006,25(6):33-36.
[15]刘兆德,孔祥飞,刘强.中国城市群城市综合发展水平的空间差异及其影响因素[J].鲁东大学学报,2016,32(2):174-180.
[16]刘涛.经济增长与产业结构变动的关系及其效应研究[M].北京.科学出版社,2013:41-144.
[2]张庭伟.当代美国城市化动的力及经验教训[J].城市规划学刊,2013(4):10-17.
[3]许学强,周一星,宁越敏.城市地理学(第2版)[M].北京:高等教育出版社,2009.
[4]姚士谋,陈维肖,陈振光,等.新常态下中国新型城镇化的若干问题[J].地域研究与开发,2016,35(1):1-4.
[5]陈明星,陆大道,张华.中国城市化水平的综合测度及其动力因子分析[J].地理学报,2009,64(4):387-398.
[6]许学强,叶嘉安.我国城市化的省际差异[J].地理学报,1986,41(1):8-22.
[7]赵群毅,周一星,王茂军.近20年来我国城市化发展速度的省区间比较[J].经济地理,2005,25(5):632-637.
[8]刘耀彬,陈志,杨益明.中国省区城市化水平差异原因分析[J].城市问题,2005(1):16-20.
[9]曹广忠,刘涛.中国城镇化地区贡献的内陆化演变与解释[J].地理学报,2008,66(12):1631-1643.
[10]刘兆德,刘强,刘振明,等.中国省域城镇化综合水平的空间特征与影响因素[J].城市发展研究,2017,24(7):94-100.
[11]李凯,刘涛,曹广忠.中国省区城镇化空间格局与驱动力演变[J].城市发展研究,2018,25(6):8-16.
[12]张立冬,刘志彪,吴先满.江苏省区域创新能力动态评价分析:2006-2010年[J].南京工业大学学报(社会科学版),2013,12(02):69-74.
[13]王发曾,程丽丽.山东半岛、中原、关中城市群地区的城镇化状态与动力机制[J].经济地理,2010,30(6):918-925.
[14]张果,任平,周介铭,等.城乡一体发展的动力机制研究[J].地域研究与开发,2006,25(6):33-36.
[15]刘兆德,孔祥飞,刘强.中国城市群城市综合发展水平的空间差异及其影响因素[J].鲁东大学学报,2016,32(2):174-180.
[16]刘涛.经济增长与产业结构变动的关系及其效应研究[M].北京.科学出版社,2013:41-144.