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基于主成分—聚类分析的贫困县(区)经济发展研究——以陕南地区国家级贫困县(区)为例
引用本文:刘月,师谦友,李华,周亮,张小勇.基于主成分—聚类分析的贫困县(区)经济发展研究——以陕南地区国家级贫困县(区)为例[J].资源开发与保护,2012(2):130-133,147.
作者姓名:刘月  师谦友  李华  周亮  张小勇
作者单位:陕西师范大学旅游与环境学院,陕西西安710062
基金项目:教育部哲学社会科学研究重大课题乒关项目(编号:04JZD00010).
摘    要:采用国内生产总值、人均纯收入、城镇固定资产投资、社会消费品零售总额等11个指标,运用主成分分析法对陕南地区20个国家级贫困县(区)的经济发展水平进行了评价,在此基础上运用聚类分析法将贫困县(区)分成四种类型:第一类是"第二、第三产业并进型"的汉滨区,第二类是"特色农业带动型"的商州区,第三类是"优势矿业驱动型"的洛南县和旬阳县,第四类是"传统农业主导型"的其余16个贫困县,针对各类型贫困县(区)提出相应的发展对策。

关 键 词:贫困县(区)经济发展  主成分—聚类  对策  陕南地区

Study on Economic Development of Poor Counties Based on Principal Component- Clustering Analysis Taking State- poor Counties of Southern Shanxi as an Example
Institution:LIU Yue,SHI Qian- you,LI Hua,ZHOU Liang,ZHANG Xiao- yong (Colledge of Tourism and Enveronmmt Science, Shanxi Normal University, Xi' an 710062, China)
Abstract:This article used eleven indexes such as the GDP, per capita net income, estate investment of towns, total retailment of social Commodifies and so on. It evaluated economic development level of the twenty state-poor counties of southern Shanxi by using principal component analysis method. Based on this, cluster analysis method was used to classify these poor counties into four types:The first kind was Hanbin district which belonged to "industry and service industry work hand in hand "type; the second was Shangzhou district which belonged to "characteristic agriculture driving" type; the third type was "superior mining driving" including Luonan county and Xunyang county; the fourth class was "traditional agriculture leading" including the rest of the 16 counties. Finally, according to the above four types, the author proposed corresponding countermeasures d development.
Keywords:cotmties(area) economic development  principal component - clustering analysis  countermeasures  Southern Shanxi
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