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基于回归模型的县域建设用地集约程度影响因素分析——以吉林省为例
引用本文:钟世名,李淑杰,徐搏,毛春艳.基于回归模型的县域建设用地集约程度影响因素分析——以吉林省为例[J].安徽农业科学,2013,41(1):332-336.
作者姓名:钟世名  李淑杰  徐搏  毛春艳
作者单位:1. 吉林大学地球科学学院,吉林长春130061;长春市国土资源局净月经济开发区分局,吉林长春130122
2. 吉林大学地球科学学院,吉林长春,130061
3. 敦化市国土资源局,吉林敦化,133700
摘    要:通过对土地利用现状的研究以及影响集约利用水平因素的相关分析,并根据研究区域内建设用地利用的实际情况,定性和定量地对吉林省内全部县域建设用地进行集约利用水平分析,运用SPSS软件进行回归模型分析,得出影响吉林省县域范围建设用地集约利用水平的主要因素。结果表明:城乡建设用地人口密度、建设用地地均固定资产投资、建设用地地均地区生产总值、单位地区生产总值消耗新增建设用地量和单位固定资产投资增长消耗新增建设用地量等因素,对县域建设用地集约水平有非常显著的正向影响;单位地区生产总值耗地下降率、地区生产总值与建设用地增长弹性系数和地区生产总值与城乡建设用地增长贡献度,对县域建设用地集约水平有较为显著的正向影响;单位人口增长消耗新增城乡建设量、人口与城乡建设用地弹性系数和人口与城乡建设用地增长贡献度等因素,对县域建设用地集约水平影响不明显。

关 键 词:建设用地  集约利用  影响因素  回归分析  吉林省

Analysis Impact Factors of County Construction Land Intensive Degree Based on Regression Model
Institution:ZHONG Shi-ming et al(College of Earth Sciences,Jilin University,Changchun,Jilin 130061)
Abstract:The level of intensive use of county construction land restrict intra-regional economic development rate, intensive degree of impact factors in different areas of the county construction land intensive cause the level of inter-regional differenees. Through the research of present condition of land utilization and correlation analysis of factors that influence the level of intensive use, anti according to the actual situation of study on construction land use in the region, qualitative and quantitative analysis of the level of intensive utilization of land for the county con- struction is calculated in Jilin Province based on the regression model analysis with SPSS software, the factors that affect the level of intensive utilization of land for the county construction of Jilin Province are: population density in the urban and rural construction land, investment in fixed assets on land for construction, land for construction to GDP, the unit GDP and units of fixed asset investment growth and consumption of addition land for construction quantities, etc. Intensive degree over the county construction has a very significant positive impact. The unit GDP consumption to decline rates, GDP to land for construction growth coefficient of elasticity and GDP growth in urban and rural construction land contribution more significant positive impact on the intensive level of county land for construction; the unit of population growth, con- sumption of addition urban and rural construction volume, population growth factors such as the contribution of the coefficient of elasticity of the urban and rural construction land and population and urban and rural construction land intensive level of county land for construction is not ohvious,
Keywords:Construction land  Intensive use  Influence factors  Regression analysis  Jilin Province
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