2000 年到2010 年十年间,随着中国城市住房改革的深入和住房市场的快速发展,城市居民住房来源结构也发生了较大变化.本文综合不同视角对当前中国城市居民住房来源体系进行了梳理,选取购买商品房、购买经济适用房、租赁住房和自建住房4 种类型,以第五次人口普查和第六次人口普查的数据为基础,分析了中国31 个省(市、区)城市居民住房来源的构成、变化和省际差异特征,并通过构建神经网络对省际差异的影响因素进行分析.最后得出结论并对未来城市居民住房结构的变化进行展望.
Housing problem generally refers to the social problem of insuringthat members of society have a home to live in, whether this is a house, orsome other kind of dwelling, lodging, or shelter. In first decade of new century,with the further development of Chinese urban housing reform and rapiddevelopment of housing markets, the housing supplying sources of Chinese urbanresidents have been changed. A census is the procedure of systematically acquiringand recording information about the members of a given population. Thehousing source data of urban residents had been included in 5th and 6th censusof China. This study analyzed current system of housing supplying sources forChinese urban residents, selected 4 housing supplying types-purchase commercialhouse, purchase affordable housing, rental housing and self-built settlements-to analyze the structure, changes and provincial differences based on5th and 6th census data, and next analyzed the influence factors to provincialdifferences of urban residential housing source by using neural network model.The analysis results show that: 1) Over the past decade, the percentage of urbanresidents bought the commodity housing had a large increase, the percentageof self-built settlements of urban residents had a large decrease, and thepercentage of urban residents rented housing had a little increase. 2) Thecurrent provincial housing supplying sources had different characters. Thepercentage of purchasing commercial houses in north provinces is higher thanwhich in south provinces; the percentage of purchasing affordable housing in west provinces is higher than which in east provinces; the percentage of renting housing and of self-built settlements in south provinces is higher than which in north provinces. 3) Local average housing and urbanization level have significant effect to provincial difference of purchasing commercial houses; the local average income level and housing price have significant effect to provincial difference of purchasing affordable housing; the forei