Analysis On The Influential Factors Of The Foreign Population In Economic Circle Around The Capital Of China

Population is the most important resources in the process of economic production. The issues of population and economic development, industrial structure, social security, employment issues are closely linked. Along with developing of science and technology, the population migration flows has become a common phenomenon in the country. As a special population phenomenon, the floating population has been paid more and more attention seriously. As the key point of the “Four One’s” strategy, the Economic Circle around the Capital of china(ECCC) has been left to the national regional development strategy level, and has far-reaching significance to the development of “Beijing-Tianjin-Hebei regional economic integration”.In recent years, more and more foreign population influxed to ECCC, this has a great influence on the internal and external economic development. Scientific analysis of the influence factors of foreign population has become an important problem in building ECCC. At present, there are many influence factors of foreign population analysis method, but there is few study of ECCC, especially the quantitative analysis of the influential factors is not yet. In this paper, through the establishment of index system, study the influence factors of the floating population quantitative using correlation analysis and principal component analysis. Found that: The GDP, the savings deposit balance, the tertiary industry output value, the total retail sales of social consumer goods, as well as the second industry output value in the construction industry are relative to the size of foreign population in all regions, the factors influencing the plain seven counties and mountain seven counties are different. Selected variables and foreign population do partial least squares regression(PLSR) analysis using Minitab software after removal of multicollinearity effects. The level of economic development is the most important factor of population migration flows for the plain seven counties, while the industrial structure is the primary factor for the mountain seven counties. The effect is feasible and the regression equation can provide the basis for research and decision-making.The full text includes the following six sections: Section one includes the selected topic background and research significance of the article, and summarizes the research status domestic and overseas from the perspective of both qualitative and quantitative, then give the research framework and innovation point. The second chapter expounds the regional characteristics and the characteristics of floating population distribution in the study area. In part three, the article has carried on the correlation analysis to the data in order to identify the main impact factors. The fourth chapter make an empirical analysis on the main factors influenced the floating population using partial least-squares regression. The fifth chapter is a summary of the full text, at the same time pointes out the shortage of the article.