基于相关分析和主成分分析的国有林场分类指标体系设计研究  

Research on the classifi cation index system design of the state-owned forest farms based on correlation analysis and principal component analysis

作　　者：谢第斌 胡明形[1] 

机构地区：[1]北京林业大学经济管理学院,北京100083

出　　处：《中南林业科技大学学报》2016年第8期141-146,共6页Journal of Central South University of Forestry & Technology

基　　金：国家林业局重点项目"典型国有林场森林资源经营管理模式及技术体系"(2012-07)

摘　　要：对国有林场施行分类经营和管理是国有林场改革的重要内容,科学的分类标准是国有林场分类经营和管理的基础,进行国有林场分类指标体系的研究具有十分重要的现实意义。针对几种指标筛选的适用性和优缺点,提出了基于相关分析和主成分分析的指标选取方法。在依据全国主体功能区规划对国有林场进行功能分区的基础上,使用该方法最终确立了我国国有林场分类指标体系,指标体系包括林场经营管理水平、林场资源水平、林场经营条件、林场生态及非林产业发展水平、林场所在地区经济效益5个一级指标和众多二级指标。Classified management of the state-owned forest farms is an important content of the reform of the state-owned forest farms, scientific classification criteria is the basis of the classified management, and the research on classification index system of state-owned forest farms has great realistic significance. This paper analyzed the applicability and advantages and disadvantages of several index screening methods, and put forward a new index screening method based on correlation analysis and principal component analysis. Using the method, this paper established the classification index system of the state-owned forest farms after the partition of the state- owned forest farms, the index system includes 5 first class indicators： management level, resource level, management condition, ecological level and non forest industry development level, and many other second class indicators.

关 键 词：国有林场 指标选取方法 相关分析和主成分分析 分类指标体系 

分 类 号：S750[农业科学—森林经理学] F307.2[农业科学—林学]