运筹与管理 ›› 2016, Vol. 25 ›› Issue (2): 197-202.DOI: 10.12005/orms.2016.0064

• 应用研究 • 上一篇    下一篇

中国住房开发投资空间聚集变动及影响因素研究

张红1,于渤1,鞠立新2,3   

  1. 1.哈尔滨工业大学 经济与管理学院,黑龙江 哈尔滨 150006;
    2.浙江海洋大学 经济与管理学院,浙江 舟山 316000;
    3.中国传媒大学,北京 100024
  • 收稿日期:2015-05-28 出版日期:2016-04-25
  • 作者简介:张红(1969- ),女,博士研究生,研究方向:区域经济;于渤(1960- ),男,教授,博士生导师,研究方向:区域可持续发展;鞠立新(1972- ),女,副教授,低碳经济研究中心主任,研究方向:西方经济学。

Research on the Spatial Aggregation Changes and Affecting Factors of China’s Housing Development Investment

ZHANG Hong1, YU Bo1, JU Li-xin2,3   

  1. 1.School of Management Harbin Institute of Technology, Harbin 150006, China;
    2.Zhejiang Ocean University, Zhoushan 316000, China;
    3.Communication University of China,Beijing 100024, China
  • Received:2015-05-28 Online:2016-04-25

摘要: 本文基于中国1998~2014年度各省住房开发投资数据,运用Moran’s I指标测度了各年度住房开发投资的空间聚集指数,测度结果表明中国的住房开发投资呈现出典型的空间聚集特征,且在不同的年份随着社会经济发展形势的变化,空间聚集的程度也发生相应的变动。通过建立多元线性回归模型,对影响中国住房开发投资空间聚集变动的因素进行实证研究,结果表明经济增长率、产业升级、基础设施投资、人口城市化对房地产投资空间聚集水平的变化有着显著的影响。

关键词: 住房开发投资, 空间分布, 聚集变动, 影响因素

Abstract: This paper is based on the data of Chinese provincial housing development investment from 1998 to 2014, and measures the annual spatial aggregation index of housing development investment by using Moran’s I. The results show that China’s housing development investment has the typical characteristics of space aggregation, and these characteristics and extent of spatial aggregation change with the national economic and social situation in different years. To get a better handle on this problems, this paper initials an empirical research to test the affecting factors of spatial aggregation changes in China’s housing development investment by establishing multiple linear regression model, and the results show that the rate of economic growth, industrial upgrading, infrastructure investment, population urbanization has a significant effect on spatial aggregation changes in China's housing development investment.

Key words: housing development investment, spatial distribution, aggregation changes, affecting factors

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