Principal Component Analysis on Gross Output of Agriculture,Forestry, Animal Husbandry and Fishery in China

摘要：

In this paper, the principal component analysis method has been applied in gross output value of agriculture, forestry, animal husbandry and fishery, according to the latest statistics from China Statistical Yearbook-2008. The results show that: by the first principal component scores sort, the score of Shandong, Henan and Sichuan is the highest, indicating that the three provinces is located in Chinas top three in gross output value of agriculture, forestry, animal husbandry; by the second principal component score sort, Jiangsu, Fujian and Guangdong are out in the top three, indicating that the three provinces are in the countrys leading in gross output value of fishery. The conclusions are in line with the reality of our country, which provide reference for sustainable development of our primary industry.

关键词： Agriculture forestry animal husbandry and fishery gross output value principal component analysis.

作者: Guan Linlin

作者单位: College of Math & Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China

会议类型: 国际会议

会议名称: 2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies(国际一般系统理论研究会中国概率统计学会第二届学术会议IIGSS-CPS2010)

会议地点: 南京

会议语种:英文

页码: 444-447

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）