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

机译:地价对房价空间分异的影响:来自中国跨县分析的证据

摘要

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.
机译:本研究使用2014年的2,872个县的房价数据分析了中国房价的空间格局和驱动力。结合住房需求,供求和市场的多种理论观点,建立了住房价格模型以探讨其影响然后使用地理检测器技术分析了地价对不同行政级别住房价格的相对影响。最后,探讨了地价对住房价格的影响机制。主要结论如下。 (1)中国的房价呈金字塔状分布,房价的上涨与城市人口的减少有关。(2)土地价格是房价的主要驱动因素,其对房价的影响在不同的行政级别上有所不同。具体而言,土地价格的影响在省会城市的市区中最强。(3)土地价格的内部影响机制价格和住房价格的驱动因素是:地形因素,城市建设水平,优质公共服务资源的集聚程度和第三产业发展水平。城市;通过供求,成本和市场机制,土地价格会影响房价。

著录项

  • 来源
    《地理学报(英文版)》 |2018年第6期|725-740|共16页
  • 作者单位

    Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;

    Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;

    Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 03:55:33

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