Abstract:
This paper has collected panel data of 21 cities in Sichuan Province from 2005 to 2017 and uses multiple linear regression models to analyze the relationship between population structure change and industrial upgrading of Sichuan from the following aspects:age structure of people, culture structure of people, marriage rate, urbanization rate, employment structure and unemployment rate.The regression model of random effects shows that:population structure change in Sichuan is highly related with industrial upgrading.Female population, tertiary industry population, high school graduates and unemployment rate are positively correlated with industrial upgrading.Marriage rate is negatively correlated with industrial upgrading.Based on the analysis, this paper proposes some measures:popularizing 12-year compulsory education, encouraging women to start businesses, implementing comprehensive multi-child policy, and developing vigorously old-age industries.