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长三角县域房价空间分异格局及其影响因素分析
引用本文:韩艳红,尹上岗,李在军.长三角县域房价空间分异格局及其影响因素分析[J].人文地理,2018,33(6):87-95.
作者姓名:韩艳红  尹上岗  李在军
作者单位:1. 南京晓庄学院 环境科学学院, 南京 211171;
2. 南京师范大学 地理科学学院, 南京 210023;
3. 扬州大学 苏中发展研究院, 扬州 225009
基金项目:国家自然科学基金项目(41601131,41701141)
摘    要:以2014-2016年长三角135个区县的房价为基本数据,通过数据的空间提取、分异指数测算、热点分析等方法,对长三角县域的房价空间分异格局进行了研究。结果表明:长三角房价空间分异格局与其城市体系结构基本一致,呈现出多极核分布特征;长三角整体的房价空间分异的不平衡性正在加剧;冷热点的空间分布格局相对稳定,热点的数量波动下降,冷点的数量波动上升。在此基础上,遴选出经济资源、人力资源、社会资源和行政资源要素类型,利用多元线性回归模型分析了长三角房价空间分异的影响因素。

关 键 词:房价  空间分异  多元线性回归  长三角  
收稿时间:2018-01-09

SPATIAL DIFFERENTIATION AND INFLUENCE FACTORS ANALYSIS OF COUNTY REGION HOUSING PRICES IN THE YANGTZE RIVER DELTA
HAN Yan-hong,YIN Shang-gang,LI Zai-jun.SPATIAL DIFFERENTIATION AND INFLUENCE FACTORS ANALYSIS OF COUNTY REGION HOUSING PRICES IN THE YANGTZE RIVER DELTA[J].Human Geography,2018,33(6):87-95.
Authors:HAN Yan-hong  YIN Shang-gang  LI Zai-jun
Institution:1. School of Environmental Science, Nanjing Xiaozhuang College, Nanjing 211171, China;
2. School of Geographical Science, Nanjing Normal University, Nanjing 210023, China;
3. Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225009, China
Abstract:This paper is based on the data of the housing prices of 135 regions and counties from Yangtze River Delta between 2014 and 2016. Through the methods of spatial extraction of the data, the calculation of the difference index and the hot spot analysis, the paper makes a research on the spatial differentiation pattern of housing prices in Yangtze River Delta. The results indicate that the housing prices spatial variation pattern of Yangtze River Delta is consistent with its urban system structure and the distribution characteristic is multi polar nuclei pattern. The imbalance of spatial differentiation of housing prices in Yangtze River Delta is increasing. The spatial distribution pattern of cold and hot spots is relatively stable. The fluctuation in the number of hot spots is declining but the fluctuation in the number of cold spots is increasing. On this foundation, this paper makes an analysis on the factors affecting the housing prices spatial variation in the Yangtze River Delta from economic resources, human resources, social resources and administrative resources by using multiple linear regression model. This paper is based on the data of the housing prices of 135 regions and counties from the Yangtze River Delta between 2014 and 2016. Through the methods of spatial extraction of the data, the calculation of the difference index and the hot spot analysis, the paper makes a research on the spatial differentiation pattern of housing prices in the Yangtze River Delta. The results indicate that the housing prices spatial variation pattern of the Yangtze River Delta is consistent with its urban system structure. The distribution characteristic is multi polar nuclei pattern. The differences in the internal of the city have little impact on the overall difference of the Yangtze River Delta. The spatial distribution pattern of cold and hot spots is relatively stable.
Keywords:housing price  spatial differentiation  multiple linear regression  the Yangtze River Delta  
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