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基于主成分分析的资源节约评价指标体系及应用
引用本文:陈昕.基于主成分分析的资源节约评价指标体系及应用[J].资源与产业,2010,12(6):38-43.
作者姓名:陈昕
作者单位:(山东科技大学 经济管理学院,山东 青岛 266510)
基金项目:全国统计科学研究计划项目
摘    要:为考量资源节约型社会发展状况,本文构建了一套三层次的资源节约综合评价指标体系,包含资源消耗支持系统、经济发展支持系统、人年均资源支持系统、生态环境支持系统、资源综合利用系统、环境治理投资系统六大系统,共37个指标。采用主成分分析法确定指标权重,并建立资源节约综合评价模型,计算了节约型社会发展总指数。根据相关数据资料,运用SPSS软件对青岛市2003-2007年资源节约状况进行分析,计算了各子系统指数及节约型社会发展总指数,并对综合评价结果及各子系统评价结果进行分析,结果表明资源节约水平与经济发展相关性最强。最后从创新节约技术、调整产业结构、建立新的资源节约管理机制、加强节约意识、完善法制等方面,对提升资源节约水平提出了相应的对策与建议。

关 键 词:主成分分析  资源节约  评价指标体系  青岛市  
收稿时间:2010-04-09
修稿时间:2010-10-22

RESOURCES-SAVING EVALUATION INDEX SYSTEM AND ITS APPLICATION BASED ON PRINCIPAL COMPONENTS ANALYSIS
CHEN Xin.RESOURCES-SAVING EVALUATION INDEX SYSTEM AND ITS APPLICATION BASED ON PRINCIPAL COMPONENTS ANALYSIS[J].Resources & Industries,2010,12(6):38-43.
Authors:CHEN Xin
Affiliation:(School of Economics and Management, Shandong University of Science and Technology, Qingdao 266510, China)
Abstract:In order to measure the development of the resource-saving society, this paper builts up a three-level resource-saving comprehensive evaluation index system, including resource consumption supporting system, economic development supporting system, annual per capita resource supporting system, ecological environment supporting system, comprehensive utilization system and environmental governance investment system, with a total of 37 indexes. This paper, by using the Principal Components Analysis to give each index the weight, sets up a resources-saving comprehensive evaluation model and estimates the gross development index in saving society. This paper, based on data, applies SPSS software to study Qingdao 2003-2007 resource-saving status, and calculates the gross development index and each sub-index. The results imply a strong relation between resources-saving level and economic development. This paper presents suggestions how to increase resource saving level in innovative technology, industrial structure adjustment, new resources-saving management, awareness of saving, and laws, etc.
Keywords:principal components analysis  resource saving  evaluation index system  Qingdao city
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