对保障性住房交易土地出让金计算方法的修正建议

随着住房制度改革的不断深化,自20世纪90年代中期公有保障性住房产权出售,并逐步进入市场,该部分房产由于划拨用地性质,按照土地管理法的相关规定,应补缴土地出让金后才能交易。该文主要研究如何才能公正合理、快速便捷地计算出应缴纳的出让金。     

济南市商品住宅价格空间分布研究

通过对济南市商品住宅价格空间分布的研究,了解济南市商品住宅价格的空间分布的特征与规律,确定影响济南市商品住宅价格空间分布的因素,为促进济南市商品住宅市场的发展,政府制定住宅产业政策,合理进行城市规划等提出合理化的建议。     

CHINA''S URBAN HOUSING SYSTEM IN TRANSITION

IntroduchonSincelg49,Chinahaschosel1thesociaIistsyste111il1tl1eIlgl1tofMaI\isl11.Itl1asplacedemphasisonti1epnn1aryindustry(eq.agriCulture)andh1esec0ndaryindtlstry(eg.themanufaCtunngindustry)andoverlookedthedeveloplnentofthetertiaryindustry(eqtherealestate…     

Housing,Homelessness, and Mental Health: Mapping an Agenda for Geographical Inquiry*

This paper proposes that work by geographers on the relationships between housing, homelessness, and mental health should take into account recent literature concerning the nature of home in contemporary society. Towards this end, we distinguish between literal, incipient, and metaphorical homelessness. We argue that this distinction raises new research questions concerning the experience of households “on the edge of homelessness” and others who are well-housed but, for various reasons, are not “at home” in their present circumstances.     

Ethnicity,Housing Search,and the Role of the Real Estate Agent: A Study of Portuguese and Non-Portuguese Real Estate Agents in Toronto*

This study concerns the behavior and practices of real estate agents in the housing search process. The research investigates whether the information provided and houses recommended by agents working for Portuguese firms differ from the recommendations of agents working for firms owned by non-Portuguese brokers in the cities of Toronto and Mississauga (a western suburb of Toronto), Canada. Data for the study were obtained from a participant observation study of a sample of real estate agents. Empirical evidence indicates that the ethnicity of real estate agents (Portuguese versus non-Portuguese) and the brokers for whom they work (Portuguese-owned firms versus non-Portuguese-owned firms) determine to a considerable extent the marketing strategies of agents and the neighborhoods they recommend.     

南京城市住宅小区房价增长模式与效应

房价增长与空间分异是近年来各界城市学者高度关注的理论问题,也是关乎城市居民能否实现住有所居和美好生活的现实问题。以南京3761个住宅小区（或居住组团）为研究对象,以2009-2017年间30个季度住宅交易样本数据为基础,探索了南京各类型住宅小区房价增长模式及差异。研究发现：① 南京城市平均房价以1年半为一个阶段,呈现出“快速增长”与“相对平稳”交替规律,房价的空间异质性增强;② 结合住宅小区价格水平、区位特征和建筑属性,综合识别出南京城区9种典型住宅类型;③ 各类型住宅因中心性、舒适性和稀缺性等空间属性差异使房价增长表现为引领型、跟随型、追涨型和独立型等不同模式;④ 城市资源空间配置不均衡作用下的住房供需矛盾和房价增长预期差异,是导致住宅类型间房价分异的根本原因。城市房价增长与住宅价格分化具有必然性,但过快增长和过度分异可能造成阶层家庭财富差距的扩大与再分化、住房负担过重排挤外来中低收入人口、贫困群体因住房置换难度增大而易被困于城市边缘等社会空间后果。因此,有必要强调住宅的居住属性和推进住房供给侧改革,促进城市住宅供给的公平充分和社会空间的健康可持续发展。     

Effect of land prices on the spatial differentiation of housing prices: Evidence from cross-county analyses in China

This study analyzes the spatial patterns and driving forces of housing prices in China using a 2,872-county dataset of housing prices in 2014. Multiple theoretical perspectives on housing demand, supply, and market, are combined to establish a housing price model to explore the impact of land prices on housing prices. The relative impacts of land prices on housing prices at different administrative levels are then analyzed using the geographical detector technique. Finally, the influencing mechanism of land prices on housing prices is discussed. The main conclusions are as follows. (1) Housing prices have a pyramid- ranked distribution in China, where higher housing prices are linked to smaller urban populations. (2) Land prices are the primary driver of housing prices, and their impacts on housing prices vary over different administrative levels. To be specific, the effect of land prices is the strongest in the urban districts of provincial capital cities. (3) The internal influence mechanisms for land prices driving housing prices are: topographic factors, urban construction level, the agglomeration degree of high-quality public service resources, and the tertiary industrial development level. The urban land supply plan (supply policies) is the intrinsic driver that determines land prices in cities; through supply and demand, cost, and market mechanisms, land prices then impact housing prices.     

AutoCAD VBA的二次开发实现地籍图的自动修正

农村宅基地使用权的测绘工作中,根据影像图绘制成的地籍图,房屋边界点与实测点之间存在偏差,需大量修正。因而,本文基于AutoCAD平台,采用VBA进行程序设计。确定图形中房屋边界点与实测点位置对应关系,并重新绘制房屋,实现房屋边界点到实测点的自动归位以及房屋属性的自动添加,最终实现地籍图的自动修正。程序可完成90%以上的修正工作,大大减少了内业工作量,且修正后的地籍图符合项目要求。     

Effects of accessibility and environmental health risk on housing prices: a case of Salt Lake County,Utah

While transportation infrastructure can increase housing price by improving accessibility to opportunities, it generates environmental health risks, such as noise and air pollution, which may have negative effects on housing price. However, the combined effects of accessibility and environmental health risk on housing price have not been well examined in the literature, especially in the auto-oriented urban context of the United States. In this study, we use assessed housing value data and the hedonic model to examine the single-family housing market's reaction to accessibility and environment health risks in Salt Lake County, a growing metropolitan area in Utah experiencing significant air pollution. Three regression models are employed with the consideration of spatial effects: ordinary least squares (OLS), spatial lag regression (SLR), and hierarchical linear modeling (HLM, or multilevel modeling/MLM). By controlling for the influences of structural attributes and socioeconomic conditions, we find that the negative impacts (traffic noise and air pollution) of transportation systems on single-family housing prices are greater than the positive impact (accessibility). Single-family residents in Salt Lake County are willing to pay more to reduce environmental health risks than to get better accessibility. These findings are different from what have been found in some dense and compact urban areas in the literature. These findings suggest that people's willingness to pay for minimizing environmental health risks varies across different urban contexts.     

广州市家庭收入与住房特征对应关系的区位差异性

以广州市中心区(天河区)和郊区(南沙区)为研究案例,依托2010年中国(广东)家庭动态跟踪调查数据,基于家庭户住房的邻里特征、建筑特征、区位特征、家庭收入等13个指标构建路径分析模型,研究广州市居民家庭收入与住房特征的映射关系和影响方向。在此基础上,采用多群组路径分析方法研究区位因素对“收入→住房特征”的影响程度及其差异性。最后利用方差方程和均值方程,分析不同区位条件下(中心区和郊区)的住房特征差异。结果表明：① 家庭收入更显著地决定住房特征,对邻里特征的影响并不显著;② 区位对“收入→住房邻里特征”的关系具有显著调节作用,而对“收入→住房建筑特征”的调节作用较弱;③ 在中心城区和郊区的内部,家庭收入更显著地影响住房建筑特征,而对邻里特征基本无显著影响;④ 郊区家庭收入对公共交通时间便利性、住房面积、厕所设施水平、拥有住房数量、住房综合条件等几个主要住房特征指标的影响程度大于中心城区;⑤ 中心城区住房的邻里特征明显优于郊区,但建筑特征明显差于郊区。显示出广州市住房邻里特征与建筑特征在不同区位条件下的“互换特征”。