The relationship between population and industrial structure on economic development based on exponential smoothing method
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In recent years, China's economy has been in a state of medium-high speed growth, and great changes have taken place in the population and industrial structure. The influence of population and the industrial organization on the economy has always been an important basis for the country to make economic policies. Therefore, it is of great practical significance to study the relationship between population and industrial structure for economic development. Firstly, this paper using SPSS to conduct a linear regression analysis on the collected data. The results show that the natural growth rate, population quantity and the GDP of the secondary industry have a strong correlation with economic progress. Secondly, the natural growth rate, the population and GDP of the secondary industry are predicted by the exponential smoothing method and then analyze to put forward reasonable suggestions for the future economic development.
GDP, Population, Secondary Industry, Multiple Linear Regression, Exponential Smoothing