The Analysis Of China's Economic Growth Factors Base On Robust Sparse Principal Component Regression

Lots of factors could affect economic growth,among which there may be multicollinearity.Moreover,the data may appear abnormal values because of unstable factors,thus affecting the accuracy of statistical inference and prediction models.Robust sparse principal components can solve the problem of multicollinearity and outliers effectively,and will provide an effective method to study the impact of economic growth.First,we select 19 indicators from the traditional production factors,institution,finance,economic structure.The way of analyzing the main economic growth factors from 1981 to 2012 combines the qualitative analysis with the quantitative analysis,and takes the quantitative analysis as the main one.Using the principal component,sparse principal components,robust sparse principal component to analyze the economic growth,the results show that the robust sparse principal component is the best.The main factors that promoting China's economic growth are capital,the degree of urbanization,financial depth,the consumption structure of urban residents,Gini coefficient and technology.Then,we also use the panel data to analyze the factors of affecting regional economic growth.The empirical analysis from 2003 to 2012 bases on robust sparse principal component,and the result shows that the impact factors of economic growth from the eastern,central and western regions are different.So we should take appropriate measures to promote regional economic,and hope to realize the balanced,coordinated and sustainable regional economic growth ultimately.Finally,we put forward some suggestions to promote economic growth,such as increase education investment,and promote the scientific progress;promote the urbanization process,and optimize the industrial structure;push the marketing of interest rate,and deepen the system reform;promote the balanced development of regional economic development.