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

doi:10.14088/j.cnki.issn0439-8114.2018.08.032

Abstract

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

CLC Number:

ZHANG Yu, DENG Chun-lei. Study on the Aggregation and Change of Residential and Industrial Land in Six Western Provinces[J]. HUBEI AGRICULTURAL SCIENCES, 2018, 57(8): 130-135.

References

[1] PACIONE M.Model of urban land use structure in cities of the developed world[J].Geography,2001,86(2):97-119.
[2] BURGESS E W.The growth of the city:An introduction to a research project[J].American Socio- logical Society,1924(18):85-97.
[3] FORD L.A new and imp roved model of Lat in American city structure[J].Geographical Review,1996,86(3):437-440.
[4] HOYT H.The structure and growth of residential neighborhoods in American cities[M].Washington D.C.:Federal Housing Administration,1939.
[5] 赵可,徐唐奇,李平,等.不同规模城市土地利用效率的差异及收敛性研究[J].干旱区资源与环境,2015,29(12):2-6.
[6] 刘彦随,杨忍.中国县域城镇化的空间特征与形成机理[J].地理学报,2012,67(8):1011-1020.
[7] 王丰龙,刘云刚.中国城市建设用地扩张与财政收入增长的面板格兰杰因果检验[J].地理学报,2013,68(12):1595-1606.
[8] 钟太洋,黄贤金,王柏源.经济增长与建设用地扩张的脱钩分析[J].自然资源学报,2010,25(1):18-31.
[9] 宋文,陈英.土地利用空间自相关分析中观测变量和衡量指标的选择研究[J].干旱区资源与环境,2015,29(10):37-42.
[10] 吕晓,黄贤金,钟太洋,等.土地利用规划对建设用地扩张的管控效果分析——基于一致性与有效性的复合视角[J].自然资源学报,2015,30(2):177-187.
[11] 姜博,王媛,魏超,等.城市土地利用扩展的驱动因素与空间扩展模式研究[J].干旱区资源与环境,2014,28(7):1-6.
[12] 杨会霞,葛京凤.不同集约梯度下地价与城市土地集约利用关系研究[J].干旱区资源与环境,2015,29(8):33-38.
[13] 关兴良,方创琳,周敏,等.武汉城市群城镇用地空间扩展时空特征分析[J].自然资源学报,2012,27(9):1447-1459.
[14] 尚正永,张小林,卢晓旭,等.基于可达性的城市功能用地空间格局演变研究——以江苏省淮安市为例[J].地理科学,2014, 34(2):154-162.
[15] ANSELIN L.Local indicators of spatial association—LISA[J].Geographical Analysis,1995,27(2):93-115.
[16] CHUAI X W,HUANG X J,WANG W J,et al.Spatial econometric analysis of carbon emissions from energy consumption in China[J].地理学报(英文版),2012,22(4):630-642.