村域尺度的淮安市农村空关房空间特征及影响因素  

Spatial Characteristics and Influencing Factors of Rural Vacant House Distribution at the Village Scale of Huai’an City

作　　者：刘传明[1,2] 王呈祥[1,3] 何品蓉 卢中辉 吕嘉顺[1] LIU Chuanming;WANG Chengxiang;HE Pinrong;LU Zhonghui;LYU Jiashun(School of Urban and Environment Science,Huaiyin Normal University,Huai'an 223300,Jiangsu,China;Key Research Base of Philosophy&Social Sciences of Colleges and Universities in Jiangsu,Huai River Eco-economic Belt Research Institute,Huaiyin Normal University,Huai'an 223300,Jiangsu,China;Urban Design Analysis Lab,Graduate School of Urban Studies,Hanyang University,Seoul 04763,Korea)

机构地区：[1]淮阴师范学院城市与环境学院,中国江苏淮安223300 [2]淮阴师范学院江苏高校哲学社会科学重点研究基地·淮河生态经济带研究院,中国江苏淮安223300 [3]汉阳大学城市研究院城市设计分析实验室,韩国首尔04763

出　　处：《经济地理》2020年第12期174-182,共9页Economic Geography

基　　金：教育部人文社会科学基金项目(12YJCZH127);江苏省社会科学基金项目(19GLB017);江苏省“社科应用研究精品工程”调研点课题(18SYD-10)。

摘　　要：基于村域尺度大样本调查数据的农村空关房研究是对农村空心化研究的有益探索和研究视角的创新。选择地处黄淮平原农区的淮安市1307个行政村为研究对象,以核密度分析和空间自相关分析揭示农村空关房空间分布特征,探索构建并应用"相关分析筛选显著相关指标—因子分析萃取影响因素—地理探测器分析影响因素解释力大小"的多因素影响研究技术路线,成功识别出农村空关房空间特征的主导影响因素。研究发现:村域尺度空关房空间分异特征明显,空关房户数核密度值在全市呈现北高南低的梯度分布特征,而在城区周围表现出内圈低外圈高的圈层分布规律;村域空关房率无论在全局还是局域都存在空间自相关,冷点区较热点区分布更为集中,主要分布在中心城区周围地带;就研究区整体而言,农村空关房空间特征形成的影响因素,按照解释力从大到小依次是农户城乡住房条件、农房质量、村庄用地条件、村庄集聚化程度、村庄规模、村域开发强度、村庄可达性、农户抚养负担和农户家庭规模等9个方面。其中,农户城乡住房条件和农房质量交互作用最强,是最主要影响因素。另外,影响因素在农村空关房不同指标的局部空间特征解释力上也存在明显差异。This article applies large sample survey data to study the rural vacant house,which is beneficial exploration and provides the innovation perspective to analyze the hollow phenomenon of rural areas.Selecting 1307 administrative villages in Huai’an which are located in the Huanghuai Plain,this paper reveals the spatial distribution characteristics of rural vacant houses by kernel density estimation(KDE)and spatial autocorrelation analysis.It identifies the major factors influencing the rural vacant house by applying the technical route of the multi-factor influence which is firstly sifting out the significant correlation indicators by correlation analysis method,then extracting public factors by factor analysis method,and finally identifying influencing factors’contribution by geographical detector.There are some findings as follows:1)At the village level,there is obvious spatial differences in rural vacant house.It presents a declining distribution characteristic from the north to the south and from the periphery to the urban boundary around urban district.2)The ratio of rural vacant house is spatial autocorrelated in both global and local spatial autocorrelation analysis,and cold spots is more concentrated than the hot spots,mainly distributes in the surrounding area of the central urban.3)On the whole,there are 9 factors influencing the spatial difference of rural vacant house,according to the explanatory degree from the high level to the low,which are farmer’s housing conditions in rural and urban,the quality of rural house,the land use conditions in village,the agglomeration degree of village,the size of village,the development intensity of village,the village’s traffic conditions,the burden to support family of farmers and the size of households,etc.Among them,the interaction between farmer’s housing conditions in rural&urban and the quality of rural houses is the strongest,and both of them is the most important factor.In addition,the influencing factors also have obvious differences in the explana

关 键 词：农村空关房 空间格局 村域尺度 圈层结构 农村空心化 住房条件 

分 类 号：F301.3[经济管理—产业经济]