京津唐与长三角7省市农业机械化水平主成分分析

分析京津唐和长三角地区的农业机械化水平有助于认识该地区的产业变迁，并发现农机化现存的一些问题。传统的分析方法难以解决指标间的相关性，主成分方法通过公共因子减少了分析的指标数量，避免了多重共线问题，可以为我们决策获得更真实的信息资源。

Principal Component Analysis is to the Mechanization Level of Agriculture about Seven Provinces or Cities Which Belong to Delta of Changjiang River and Beijing-Tianjin-Tangshan Area

To analysis the mechanization level of agriculture about seven provinces or cities that belong to Delta of Changjiang River and Beijing-Tianjin-Tangshan areas will contribute to find these two areas industry transition and some mechanization problems. But the traditional evaluation methods can't solve the correlation problem of index. Principal component analysis takes public factor through reducing the dimension of index, carries much information and avoids the correlation problem. Using this method to evaluate the mechanization level may get competition advantage, and enable people make decision based on these results.