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Segmentation of Chinese Urban Real Estate Market: A Demand-Supply Distribution Perspective

机译:中国城市房地产市场细分:需求-供给分布的视角

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摘要

This study proposed a new perspective on the analysis of the regional features of real estate market and explored a more reliable segmentation method for Chinese urban real estate market based on the optimization of supply-demand resource distribution. A two-stage clustering procedure is proposed based on supply and demand elements and market performance respectively. And six clustering algorithms were used to divide 283 Chinese cities at the prefecture level or above into three clusters and 13 sub-clusters, which are identified as key regulatory region, stable development region and region that needs policy support. Differentiated regulatory policy suggestions are accordingly provided for each cluster.
机译:该研究为分析房地产市场的区域特征提供了新的视角,并在优化供需资源分配的基础上,探索了一种更为可靠的中国城市房地产市场细分方法。分别基于供求要素和市场绩效,提出了两阶段聚类程序。并采用六种聚类算法将283个地级及以上的中国城市划分为三个聚类和13个亚类,分别被确定为重点监管区域,稳定发展区域和需要政策支持的区域。相应地为每个集群提供了不同的监管政策建议。

著录项

  • 来源
    《Annals Data Science》 |2015年第4期|453-469|共17页
  • 作者单位

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

    School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Real estate market; Segmentation; Clustering analysis; Gini coefficient;

    机译:房地产市场;分割;聚类分析;基尼系数;

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