节点文献
灰色关联理论在国内生产总值构成分析中的应用
Application of grey system theory to analysis of GDP composition
【摘要】 国内生产总值能够全面反映全社会经济活动的总规模,是衡量一个国家或地区经济实力,评价经济形势的重要综合指标,世界上大多数国家都采用这一指标。研究国内生产总值的构成对研究国民经济有着重要的贡献。国内生产总值有着众多构成要素,其中包括:农业、工业、建筑业、交通运输仓储及邮电通信业、批发零售贸易及餐饮业、房地产业等等。就国内生产总值的6个主要构成要素,在定性分析的基础上运用灰色关联理论对构成因素进行定量的深入分析。
【Abstract】 The GDP reflect the whole scope of the economical activity in the society and is also a significant comprehensive standard to judge the economical strength of a country or an area. Most of the countries in the world use this standard. It is important to study the GDP composition for the development of a country. There are many component factors to GDP, for example, agriculture, industry, architecture, communication, real estate etc. Based on six component factors of the GDP a method of the grey cognate analysis is used to de a deep analysis of the GDP composition.
【Key words】 grey system theory; grey cognate analysis; GDP; composition analysis; application;
- 【文献出处】 成都信息工程学院学报 ,Journal of Chengdu University of Information Technology , 编辑部邮箱 ,2006年S1期
- 【分类号】F222.33
- 【被引频次】2
- 【下载频次】199