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- Language: English
- Member of: Theses and Dissertations
Description
University graduates play a significant role in the labor market of China. Universities continuously supply senior talents and provide a strong guarantee to the country’s development. However, with the enlargement of the enrollment scale, more and more graduates become unemployed or forced to be employed. Most literatures mainly focus on the unemployed phenomenon or reasons, but had neglected the relationship among the employment, universities and the labor market. This assay is trying to using the supply and demand theory of classical economics to analyze the training direction and model of university from the perspective of the supply and demand of labor market. This assay proposes that universities have to integrate with the demand of the labor market so that to cultivate the talents to meet the social needs.
Firstly, the essay analyzes the relationship between the universities education and the supply and demand labor market by using the view of labor economics, and shows the mainly phenomenon and features of supply-demand imbalance. And then, the writer considered that universities talent cultivation development of China has gone through “absolute shortage”, “relative shortage” and “structural unbalanced” three stages. Thirdly, the survey results confirmed that the talent cultivation in universities does not match the demand of the labor market. On one other hand, over educated is a common phenomenon in the academic education. On the other hand, the graduates are lack of education skills training. Fourthly, the essay analyzes the reasons which lead to the unbalance. The unbalance is not only affected by the macro factors, but also by the micro factors. Fifthly, build up the interaction system model “UPT-LM” for the universities talent cultivation and the labor market, and separately building up the macro interaction system and the micro interaction system to analyze the balance of supply and demand. Based on this, it should strengthen the interaction on the feedback mechanism. At last, strengthening the connection of universities talent cultivation and labor market is a systematic program which needs the corporation from the government, the universities and the labor market.
Firstly, the essay analyzes the relationship between the universities education and the supply and demand labor market by using the view of labor economics, and shows the mainly phenomenon and features of supply-demand imbalance. And then, the writer considered that universities talent cultivation development of China has gone through “absolute shortage”, “relative shortage” and “structural unbalanced” three stages. Thirdly, the survey results confirmed that the talent cultivation in universities does not match the demand of the labor market. On one other hand, over educated is a common phenomenon in the academic education. On the other hand, the graduates are lack of education skills training. Fourthly, the essay analyzes the reasons which lead to the unbalance. The unbalance is not only affected by the macro factors, but also by the micro factors. Fifthly, build up the interaction system model “UPT-LM” for the universities talent cultivation and the labor market, and separately building up the macro interaction system and the micro interaction system to analyze the balance of supply and demand. Based on this, it should strengthen the interaction on the feedback mechanism. At last, strengthening the connection of universities talent cultivation and labor market is a systematic program which needs the corporation from the government, the universities and the labor market.
ContributorsLin, Xiaoya (Author) / Shen, Wei (Thesis advisor) / Qian, Jun (Thesis advisor) / Li, Feng (Committee member) / Arizona State University (Publisher)
Created2017
Description
This paper quantitatively analyses the relation between the return of private
seasoned equity offerings and variables of market and firm characteristics in China Ashare
market. A multiple-factor linear regression model is constructed to estimate this
relation and the result canhelp investors to determine the future return of private
placement stocks.
In this paper, I first review past theories about private placement stocks, including how
the large shareholder participation, the discount of private offerings, the firm
characteristics, and the investment on firm value will affect the return of private
offerings.
According to the past literature, I propose four main factors that may affect the
return of private placement. They are the large shareholders participation in private
placement; the discount that private placement could offer; the characteristics of the
companies that offer a private placement and the intrinsic value of such companies. I
adopt statistic and correlational analysis to test the impact of each factor. Then,
according to this single-factor analysis, I set up a multiple-factor linear regression model
on private seasoned equity offerings return in Chapter Four.
In the last two chapters, I apply this quantitative model to other fields. I use this
model to testify current financial products of private placement and develop investmen
strategies on stocks with private seasoned equity offerings in secondary market. My
quantitative strategy is useful according to the result of setback test.
seasoned equity offerings and variables of market and firm characteristics in China Ashare
market. A multiple-factor linear regression model is constructed to estimate this
relation and the result canhelp investors to determine the future return of private
placement stocks.
In this paper, I first review past theories about private placement stocks, including how
the large shareholder participation, the discount of private offerings, the firm
characteristics, and the investment on firm value will affect the return of private
offerings.
According to the past literature, I propose four main factors that may affect the
return of private placement. They are the large shareholders participation in private
placement; the discount that private placement could offer; the characteristics of the
companies that offer a private placement and the intrinsic value of such companies. I
adopt statistic and correlational analysis to test the impact of each factor. Then,
according to this single-factor analysis, I set up a multiple-factor linear regression model
on private seasoned equity offerings return in Chapter Four.
In the last two chapters, I apply this quantitative model to other fields. I use this
model to testify current financial products of private placement and develop investmen
strategies on stocks with private seasoned equity offerings in secondary market. My
quantitative strategy is useful according to the result of setback test.
ContributorsCao, Xuan (Author) / Pei, Ker-Wei (Thesis advisor) / Li, Feng (Thesis advisor) / Qian, Jun (Committee member) / Arizona State University (Publisher)
Created2017