Date of Award
12-1-2022
Degree Name
Master of Science
Department
Economics
First Advisor
Watts, Alison
Abstract
Employment is a serious topic for all countries in the world. Since the global pandemic broke out, the global economy began into a recession, and this caused further employment problems. China is the country with the largest population in the world, so solving the employment problem is not only an economic topic but also helps the development and social progress of the region. This paper uses the relevant data from 31 provinces and 19 industries from 2006 to 2019 to measure the differences in domestic employment. This paper chooses to use the OLS regression model to empirically analyze the relationship between employed persons in urban non-private units by sectors and 6 control variables, which are average wage, the total population of each province, the population of the different age levels, the population of different education backgrounds, GDP, and net export. Results show that the working age population and GDP have a positive effect on employment. The educational background of people only positively affects a few related sectors, and average salary has limited influence on employment. The net export has a different impact depending on the industry. This paper also tests the results by using the fixed effect regression with cross section time, and get the result on the affection of the average salary that being positive significant on some sectors.
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