Study On The Inequality Of Having Access To Well-qualified Higher Education

Education equality is an important content of social equity. With socio-economic development of our country, our education has made great progress, and equity in education(especially higher education) becomes a hot issue in our society. With the increasing importance of education, the popularization of compulsory education and high school education has gradually increased by contrast with higher education. With enrollment expansion of colleges and universities in the 90’s, the scale of higher education experiences explosive growth. According to the data from the Ministry of Education, 2014 national college admission rate is 74.33%, part college admission rate is as high as 90%, which shows that China’s higher education has evolved from the early days of elite education to public education. But the expansion has not led to be equitable distribution.This paper investigated different qualified universities using the approach of stratified random sampling, and then using measurement instrument scientific research data. The focus studies of this article are as following: firstly, using the stratification mobility rate to study distribution characteristics of higher education opportunities and the rule of family background factors in education opportunities distribution of Zhejiang province based on the perspective of social stratification.Secondly, using extensional and structured stratification mobility rate to analysis the distribution features of different qualified higher education opportunities in Zhejiang Province.Thirdly, we build a binary logistic model and ordered logistic model to study the impact factor on higher quality education fairness.This paper reach the following basic conclusions: 1. Zhejiang’s higher education exist serious inequality in the distribution, there is a strong correlation between segregation in higher education and social stratification, EMI hypothesis is more effective than the hypothesis of MMI in china. 2. Whether access to Well-qualified secondary-level education has a significant effect on quality higher education opportunities, and well-qualified higher educational resources distribution have strong inertia characteristics. 3. Different qualified education opportunities at both ends of the social classes present significant variance,indicating that higher quality education resource allocation are not completely allocated as need in China.Main innovations: first, on the measurement of quality higher education, comparing different measurement methods(such as Yousapronpaiboon(2014), Gojkov(2015) and Harper(2013), gentle(2015) using methods), we found that there is a strong correlation between the results obtained by various methods and levels in colleges. In order to maintain comparability, In this paper, the degree of Zhejiang higher education quality was described by higher college level education services. This method not only overcome the subjective errors of measurement, but also handle the incommensurability about quality of services provided by different types of higher education institutions. Second, this study is based on the micro survey data on freshmen in Zhejiang Province higher education, rather than the macro analysis of domestic research, micro-data can be partly avoided measurement error from regional differences. Third, under the current single enrollment system of higher education, the type of high school determines whether students can access to higher education in a large part. This paper analyzes that how the senior high school education play a rule on the quality of higher education. Finally, on the research, most of the methods used were simple single variable descriptive analysis, it’s easy to cover up links between the different factors on such an analysis, but can not accurately reflect the determinants to access to higher education. In addition to using different mobility rate to descriptively analysis the present situation of distribution of qualified higher education opportunities, it will also build a binary logistic model and ordered logistic model analysis of family background factors in the role of quality higher education opportunities for children.