女性受教育程度與職業(yè)地位相關(guān)性的研究
[Abstract]:Education level is one of the important factors that influence women's professional status. Traditional theories such as human capital hold that education is a way to increase women's human capital, which can help women to obtain better jobs. Since the founding of New China, the development of female education in China has been on the right track. After the reform and opening up, the golden development period of female higher education has been ushered in. The government has made a high investment in education. This has greatly improved the level of education and the average number of years of education for women. At the same time, great changes have taken place in the social structure of China. Under such changes, what has happened to the professional structure of women in China, as one of the countries with the highest female labour force participation rate in the world? What is the correlation between the education level of women and women is the main content of this study. Firstly, this paper defines and explains the concepts of professional structure, professional status and career mobility in China by consulting literature, and combs the definition of white-collar and blue-collar in this study. Then it summarizes the stage development of women's education level from the founding of New China to the reform and opening up in China. By collecting the relevant data of China Education Statistics Yearbook in past years, the paper draws the proportion changes of female college students in different periods. The gross enrolment rate and the proportion of female college students in higher education are compared with those in some developed countries to reflect the constant change of higher education, especially female higher education, and the difference between the developed countries and the higher education. Secondly, by collecting the relevant data from the Yearbook of Labor Statistics of China over the years, this paper calculates and compiles the data of occupational structure and occupational gender structure in different periods into a table. The same time dimension is used to compare the changes of female career structure in different periods and the changes of female occupation structure in different periods, which can not only directly observe the proportion of female employees of all occupational types to the total number of female employees. It can also be observed that the proportion of female employees of various types of occupation to all employees, through the changes of the sex structure of white-collar and blue-collar occupations, the changes of women's professional status can be analyzed. Finally, by analyzing the educational level of white-collar women in different age groups and comparing with men, it is found that there are differences in the ratio of male and female in white-collar occupation, and women have more influence on the educational level of occupational mobility. At the same time, through the trend of educational level change of employed women in our country and the increasing proportion of college students among white-collar women, we can see that the continuous improvement of female education level in our country makes the career structure of women constantly optimize. Professional status is rising. However, with the development of higher education in China, the proportion of female college students in our country is misplaced with the occupational sex structure, whether through the calculation of gross enrolment rate and occupation structure of higher education or the calculation of graduates and vocational reproduction. It can be concluded that the essence of the employment difficulties of female college students in China is the asymmetry between the educational structure and the vocational structure. Therefore, it is necessary to develop the educational structure and the vocational structure to optimize the female vocational structure and improve the female professional status.
【學(xué)位授予單位】:沈陽師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:C913.68
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