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引用本文:侯智惠 1 ,侯安宏 2 ,梅连杰 2.内蒙古奶业区域布局问题研究[J].中国农业资源与区划,2010,31(2):62~66
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内蒙古奶业区域布局问题研究
侯智惠 1 ,侯安宏 2 ,梅连杰 21,2
1.内蒙古农业资源区划研究所,呼和浩特市 010031;2.内蒙古伊利集团,呼和浩特市 010110
摘要:
摘 要 奶业是内蒙古畜牧业中最具有发展潜力的优势产业。该文以内蒙古奶业的区域布局为研究对象, 首先采用数理统计分析方法研究内蒙古奶业的区域布局演变历程,然后依据产业布局的影响因素构建评价 指标体系,运用R型聚类分析和相关系数分析进行指标筛选,用Q型聚类分析方法对全区101个行政区域 进行聚类分区,并通过判别分析和定性分析对聚类结果进行调整,形成内蒙古奶业优势发展区、重点拓展 区、限制性发展区和非奶牛养殖布局区,最后对4个类型区进行分区论述。
关键词:  关键词 内蒙古奶业 区域布局 聚类分析
DOI:10.7621/cjarrp.1005-9121.20100213
分类号:
基金项目:
STUDY ON THE REGIONAL DISTRIBUTION OF DAIRY INDUSTRY IN LNNER MONGOLIA
1. Inner Mongolia Institute of Agricultural Resources Regional Planning, Hohhot 010031;2. Inner Mongolia Yili Group, Hohhot 010110
Abstract:
Abstract: Dairy industry has been considered as the most potential industries of animal husbandry in Inner Mongo- lia. It is very important to optimize the regional distribution of dairy industry,which can be benifite to rationally u- tilize natural and social resources, optimize resources allocation, full excavate resources potentialities and enhance the competitiveness of the dairy industry and sustainable development. Taking the regional distribution of dairy in- dustry in Inner Mongolia as research objective, this paper firstly studied the historical evolution of the regional dis- tribution of dairy industry in Inner Mongolia by statistical analysis, and then constructed the assessing index system according to the impact factors of industry distribution, and the indexes were selected by R-type cluster analysis and correlation coefficient analysis. Then 101 administrative regions were divided by Q-cluster analysis and the clustering result was adjusted using discriminant analysis and qualitative analysis. Finally the regions of dairy indus- try were divided into 4 areas, i.e., preponderant development area, key expanded area, restricted development area and non-cattle breeding area, which were discussed according to the respective advantages and disadvanta- ges, respectively.
Key words:  Keywords: Inner Mongolia  dairy cattle industry  the regional distribution  cluster analysis
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