摘要
从经济、人口、社会发展、基础设施、城乡统筹和生态环境等6个方面建立新型城镇化发展水平的评价指标体系,运用熵值法、空间自相关分析法和灰色关联分析法等方法对长江经济带2003年、2009年和2014年110个地级及以上城市新型城镇化水平的时空格局及影响因素进行分析.结果表明:1)长江经济带市域间新型城镇化水平差异明显,西部差异大于中部大于东部;2)新型城镇化水平整体呈现出波动上升的态势,从东西方向上看,东部发展水平较稳定,中西部发展水平波动明显;3)新型城镇化中高、中等、中低和低水平区都呈现显著的空间集聚状态,但低水平区的连续分布状态有逐渐被"冲散"且面积减小的趋势;4)长江经济带新型城镇化水平五个类型区的影响因素各异,总体差异较显著.
The evaluation system of new urbanization is established in the article,which is composed of six subsystems:economy,population,social development,infrastructure,urban-rural integration and ecological environment.With the Entropy method,Spatial auto-correlation analysis and Grey correlation analysis,this article analyze the spatial-temporal evolution pattern of the new urbanization and its influencing factors of Yangtze River Economic Belt'110prefecture-level cities in 2003,2009 and 2014.Results show:firstly,the spatial disparity of the new urbanization level is remarkable among 110 cities,which is larger in the western region than in the middle-eastern region;secondly,the level of new urbanization shows a fluctuant increasing progress,which is relatively stable in the eastern region,while fluctuates significantly in the middle-western region;thirdly,the spatial-correlation state of new urbanization level shows a significant positive correlation while the continuous distribution state of low level region has gradually been broken up with its distribution range decreases;fourthly,the influencing factors of the five types are different,and the difference is significant.
作者
沈威
杜巧艳
李永贺
赵威
鲁丰先
周雨石
申智锋
SHEN Wei DU Qiaoyan LI Yonghe ZHAO Wei LU Fengxian ZHOU Yushi SHEN Zhifeng(College of Environment and Planning, Henan University, Kaifeng, Henan 475004 Urban-Rural Coordinated Development Center, Henan University of Economics and Law, Zhengzhou 450002)
出处
《华中师范大学学报(自然科学版)》
CAS
北大核心
2017年第4期534-541,共8页
Journal of Central China Normal University:Natural Sciences
基金
国家自然科学基金项目(41501128
41271144)
中国博士后科学研究项目(2012M510175
2013T60695)
关键词
新型城镇化
时空格局演变
影响因素
长江经济带
new urbanization
spatial-temporal pattern evolution
influence factor
Yangtze River Economic Belt