湖北农业科学 ›› 2018, Vol. 57 ›› Issue (8): 130-135.doi: 10.14088/j.cnki.issn0439-8114.2018.08.032

• 农业经济 • 上一篇    下一篇

西部六省居住用地与工业用地的集聚变化态势研究

张宇, 邓春磊   

  1. 河海大学公共管理学院,南京 211100
  • 收稿日期:2017-08-30 发布日期:2018-04-25
  • 作者简介:张 宇(1990-),男,吉林白城人,在读硕士研究生,研究方向为土地资源管理,(电话)18651670623(电子信箱)623183991@qq.com。

Study on the Aggregation and Change of Residential and Industrial Land in Six Western Provinces

ZHANG Yu, DENG Chun-lei   

  1. College of Public Administration,Hohai University,Nanjing 211100,China
  • Received:2017-08-30 Published:2018-04-25

摘要: 采用空间自相关和空间回归模型等空间计量方法,选取中国西部6省86个县(市)为单元对2000—2012年居住用地与工业用地时空变化的空间格局进行分析并对集聚变化原因进行测算。结果表明,①2000—2012年西部6省的居住用地Moran’s I指数从0.22上升为0.40,空间集聚正在逐步增强;工业用地则从0.18上升为0.23,相对居住用地集聚现象偏弱。②从城市空间格局考察居住用地与工业用地集聚变化态势,HH类型及LL类型的变化最为显著,多出现在内蒙古。③城市建设用地面积、国民生产总值、第三产业占GDP的比重及公共用地面积对居住用地在空间上集聚影响最为显著;人均国民收入、工业产值、交通用地面积及人口数量对工业用地在空间上集聚影响最为显著。

关键词: 居住用地, 时空变化, 空间分析, 空间回归

Abstract: Spatial autocorrelation and spatial regression models were used to analyze the spatial and temporal changes of residential and industrial land from 2000 to 2012 of 86 counties and cities in 6 western provinces of China. Results showed that,①The Moran's I index of residential land in the six western provinces changed from 0.22 to 0.40 in 2000-2012,the spatial agglomeration gradually increased, the industrial land was increased from 0.179 to 0.230,and the relative residential land was weakly clustered. ②From the urban spatial analysis of residential land and industrial agglomeration trend,HH type and LL type had the most significant change, mostly in the province of Inner Mongolia. ③The urban construction land area, gross national products,the proportion of tertiary industry to GDP and the public land area had the most significant impact on the spatial agglomeration of residential land. The per capita national income,industrial output value, traffic land area and population size had the most impact of significant spatial agglomeration on residential land.

Key words: residential land, spatial and temporal change, spatial analysis, spatial regression

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