摘要
基于微观经济视角,采取多种方法获取黄河中下游四省5491个镇域研究单元的农民人均纯收入数据,运用自然断裂点法、核密度估算法、冷热点分析法及变异系数等多种分析方法分析黄河中下游四省镇域经济发展的空间格局特征,并运用地理加权回归(GWR)进行影响因素分析.结果表明:①从发展水平的整体格局看,自下游至中游地区呈下降趋势,自高到低依次为山东、河南、陕西和山西;从空间的不均衡分布看,高值与低值分布的对比性明显,尤其是东部与西北部地区呈现较大的差距.②从集聚核心区看,镇域经济在山东和河南内部形成"双核"高密度区,并由此向外集聚程度逐渐降低;西北地区集聚核心最小、集聚程度最低且在镇域尺度下碎片化明显.③从空间关联特征看,冷热点集聚区的极化现象较为显著,大体呈现出"山东热,山西冷"的格局.此外,河南省中部和南部少部分地区也有热点区分布,但其邻近扩散关联效应不明显.④从内部不均衡状态看,不同尺度下区域不均衡状态有所不同,但总的来看山东、陕西镇域经济内部差异程度较低,河南次之,山西最大.⑤从GWR回归结果看,各影响因子回归系数的绝对值从大到小依次为人均工业产值>建成区面积/总面积>工业生产总值>二、三产业从业人员>建成区人口/总人口>二、三产业从业人员/总从业人员.其中,山东、河南地区受人均工业产值、建成区面积占比及建成区人口占比的影响较大,陕西、山西地区受建成区面积占比及二、三产业从业人员/总从业人员因素的影响更为显著.
The town units(townships and towns)of four provinces in the middle and lower reaches of the Yellow River Basin are numerous and the development status is relatively complicated.Therefore,from the perspective of multi-scale comparison,based on the per capita net income data of 5491 research units in the middle and lower reaches of the Yellow River,the spatial pattern characteristics of the economic development of the towns of four provinces in the middle and lower reaches of Yellow River Basin were analyzed by natural breakpoint method,nuclear density estimation method,cold hot spot analysis method,and coefficient of variation.Geographically weighted regression(GWR)was used to analyze the influencing factors.Research indicates:Firstly,the overall pattern of development level shows the downward trend from the downstream to the middle reaches with the order from high to low of Shandong,Henan,Shaanxi,and Shanxi;from the unbalanced distribution of space,the distribution of high and low values is obvious,especially in the eastern and northwestern regions,there is a big gap.Secondly,from the perspective of the cluster core area,the township economy forms a"dual-nuclear"high-density area in Shandong and Henan,and the degree of outward concentration is gradually reduced.Northwest has the smallest agglomeration core,the lowest agglomeration degree and obvious fragmentation at town scale.Thirdly,from the perspective of spatial correlation,the polarization phenomenon of the cold hot spot gathering area is more significant,and the pattern of"Shandong hot,Shanxi cold"is generally presented.In addition,there are also hot spots distributed in a small part of central and southern Henan Province,but the effect of adjacent diffusion is not obvious.Fourthly,from the perspective of internal imbalance,the regional imbalance is different at different scales,but overall,the difference between Shandong and Shaanxi is relatively low,followed by Henan and Shanxi.Fifthly,from the results of GWR regression,the absolute values of the regression coefficients of each influencing factor from large to small are per capita industrial output value>built-up area/total area>industrial production value>second and third industry employees>built-up area population/total population>Second-and third-industry employees/total employees.Among them,Shandong and Henan regions are greatly influenced by per capita industrial output value,the proportion of built-up areas and the proportion of population in built-up areas.Shaanxi and Shanxi regions are more significantly affected by the area of built-up area and the secondary/three industry employees/total employees.
作者
简子菡
孟怡伟
丁志伟
JIAN Zihan;MENG Yiwei;DING Zhiwei(College of Environment and Planning/The Center for the Regional Development and Planning,Henan University,Henan Kaifeng475004,China;Collaborative Innovation Center of Urban-rural Coordinated Development,Henan Province,Zhengzhou 450046,China)
出处
《河南大学学报（自然科学版）》
CAS
2020年第2期139-152,166,共15页
Journal of Henan University:Natural Science
基金
国家自然科学基金资助项目(41701130)
2020年度河南省高校创新人才支持计划项目(20HASTIT017)
河南省研究生教育优质课程建设项目(HNYJS2016KC24).
关键词
经济差异
镇域
空间格局
影响因素
黄河中下游地区
economic differences
town scale
spatial analysis
influencing factors
middle and lower reaches of the Yellow River Basin
作者简介
简子菡(1996-),女,河南南阳人,硕士研究生.研究方向:城市-区域综合发展,城乡统筹发展;通信作者:丁志伟,E-mail:dingzhiwei1216@163.com
