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河南省县域就地城镇化时空演变与影响机理研究
引用本文:赵德昭,许家伟.河南省县域就地城镇化时空演变与影响机理研究[J].地理研究,2021,40(7):1978-1992.
作者姓名:赵德昭  许家伟
作者单位:1.河南财经政法大学财政税务学院,郑州 4500462.河南省城乡空间数据挖掘院士工作站,郑州 4500463.河南财经政法大学城乡协调发展河南省协同创新中心,郑州 450046
基金项目:国家社科基金青年项目(16CJL023);国家自然科学基金项目(41601178);河南财经政法大学青年拔尖人才资助计划(hncjzfdxqnbjrc201710);2020年度“中原英才计划”——中原青年拔尖人才(哲学社会科学和文化艺术类);2020年度华贸金融研究课题“县域财政治理能力与经济高质量发展问题研究”;2021年河南财经政法大学国家重点项目培育项目
摘    要:中国的就地城镇化被视为城乡界限淡化条件下人类聚落系统发生重大改变的证据之一。已有文献大多局限在城乡二元分析框架内,本文基于城乡界限淡化的背景建立县域就地城镇化模型,对河南省108个县市2006—2016年就地城镇化水平的整体格局、空间聚类和热点区域演化进行分析。研究结果显示:① 河南省大多数县市就地城镇化水平有了明显提升,但大部分县市仍处低水平发展阶段,就地城镇化水平相对差异呈扩大趋势。② 河南省就地城镇化空间演化特征明显,“L”形豫北-豫东板块就地城镇化先行区凸显,豫西整体城镇化水平虽低但发展后劲足,连片发展态势明显。③ 河南省县域就地城镇化全局自相关性十分显著,空间聚集倾向和空间近邻效应日益显现,但仅出现了小范围的高聚类区和低聚类区。④ 河南省县域就地城镇化的热点区、冷点区分布格局变化较大,但次冷区和次热区基本保持稳定状态。⑤ 基于极大似然估计的实证检验结果表明,基础设施建设水平、城镇就业规模、人口规模和财政支出水平等是影响河南省县域就地城镇化水平的重要因素。基于上述研究结论,本文提出应从加快推进户籍制度和就业创业制度改革、完善农业土地流转和征地补偿制度、加快城乡结合部新型农村社区建设等方面提升就地城镇化建设质量和水平。

关 键 词:就地城镇化  时空格局  空间相关性  空间聚类  热点识别  
收稿时间:2020-07-22

The spatio-temporal patterns evolution and influence mechanism of situ urbanization in Henan province
ZHAO Dezhao,XU Jiawei.The spatio-temporal patterns evolution and influence mechanism of situ urbanization in Henan province[J].Geographical Research,2021,40(7):1978-1992.
Authors:ZHAO Dezhao  XU Jiawei
Institution:1. Finance & Taxation College, Henan University of Economics and Law, Zhengzhou 450046, China2. Academician Laboratory for Urban and Rural Spatial Data Mining, Zhengzhou 450046, China3. Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan Province, Henan University of Economics and Law, Zhengzhou 450046, China
Abstract:Situ urbanization in China is considered as one of the evidences of significant changes in the human settlements system under the condition of urban-rural demarcation. Most of the existing literatures are confined to the urban-rural dualistic analysis framework. This paper established the local urbanization model on the urban-rural demarcation background, using entropy method and ArcGIS spatial analysis to examine the spatial pattern, spatial clustering and hot spot regional evolution of situ urbanization based on 108 counties (cities) in Henan province from 2006 to 2016. The conclusions are drawn as follows: (1) The results based on the entropy method show that, the level of situ urbanization has been improved significantly in most counties of Henan, but the remaining counties are still at the low level development phase, and relative difference on the level of situ urbanization is widening. (2) The results based on the ArcGIS software spatial pattern evolution show that, spatial evolution characteristics are obvious, that is, north and east Henan presents an "L"-shaped pattern in the pilot situ urbanization, and the level of urbanization in western Henan maintains is low, with distinct in-situ urbanization development trend. (3) The results of spatial autocorrelation based on Moran's I exponent show that, the spatial autocorrelation of situ urbanization in Henan is obvious, spatial clustering tendency appears, space neighbor effect is obvious, but only small scale high-clustering and low-clustering areas appear. (4) The analysis of hotspot regional evolution based on Getis-Ord G* value statistic shows that, the distribution pattern of the hot spot and cold spot areas of the province has a big change, but that of the sub-cold and sub-hot areas is basically stable. (5) Based on the maximum likelihood estimation, the empirical test results show that, the level of infrastructure construction, the scale of urban employment, the size of population and the level of county fiscal expenditure are the important factors affecting the level of local urbanization in the study area. Based on the above conclusions, this paper points out that, it is necessary to promote local urbanization construction by accelerating the reform of household registration system and employment and entrepreneurship system, perfecting agricultural land circulation and land compensation system, encouraging the development of township enterprises and accelerating the construction of new rural communities in the urban fringe.
Keywords:situ urbanization  spatio-temporal pattern  spatial correlation  spatial clustering  hot spot identification  
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