APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN ANALYZING ECONOMIC DEVELOPMENT LEVEL OF XINJIANG CORPS

In this paper,multivariate statistical analysis method is used to analysis the 11 economic indicators of principal components in 13 divisions of Xinjiang Corps from 1991 to 2006,such as the family per-capita net income in the division of the farm workers,per capita agricultural added value,industrial added value per capita,per capita added value of the second stage,per capita GDP and so on.The results showed that:from the raw data in the 86.602 percent of the total variance of the four factors to reflect the division of sustainable economic development level,the analysis found the four principal components factor which impact each division:(1)factors control of per capita GDP,per capita industrial added value(including secondary industry,tertiary industry added value);(2)Composite index of per capita in add fixed assets,the per capita investment in fixed assets which reflect Per capita assets investment;(3)composite indicator which reflect the per capita area of arable land,per capita profits and the per capita retail sales of total consumer goods.(4)composite indicator that reflect the per capita in agricultural added value,per capita investment in fixed assets and the per capita retail sales of consumer goods.And further draw the average capacity of sustainable economic development of the size and development trend of scoring of each division over the years.