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Showing 2 results for Higher Education

Elnaz Hajebi, Mohammad Javad Razmi,
Volume 7, Issue 24 (6-2016)
Abstract

A great portion of economic growth deals with education and development implies a gradual substitution of human quality instead of their quantity in development process. Improvement and higher education of women and their role in economic growth should be considered from this aspect. Recently, many empirical studies have evaluated the effect of higher education based on sexual separation on economic growth. The result of these studies shows that the higher education of women has a positive impact on economic growth. This paper, analyses the role of women higher education in economic growth of  some OPEC member countries and North Africa including: Iran, Qatar, Kuwait, United Arab Emirates, Saudi Arabia, Venezuela, Algeria, Ecuador, Morocco and Tunisia. This paper uses panel data over 1991-2010 period and a modified neo-classical Mankiw-Romer-Weil growth model which all levels of education are employed. The results of this study indicate that women higher education has positive and significant effect on GDP per capita in these countries which shows the high importance of women higher education in expediting the economic growth of the studied countries.Bearing in mind, the empirical and statistical description in this study, it appears it is necessary for these countries to invest in higher education of women proportionate to the higher educations by means of adopting suitable policies for scientific development necessary for economic growth.


Davood Manzoor,
Volume 12, Issue 46 (12-2021)
Abstract

Higher Education (HE) in Iran have been subject to a major expansion and massification in the recent years, in a way that number of students approximately tripled from 2006 to 2016. This would have possibly affected labor market or unemployment rate of the country. Considering both provincial and national level, this study investigates the relationship between HE expansion and unemployment rate in the recent era (2006-2018) empirically. In this regard, number of assignments, students, and the state budget allocated to HE institutions are taken as variables indicating HE expansion so that their relationship with unemployment rate can be explored. The empirical methodology of this study in national level is to consider trends and calculating correlations for different lags. In provincial level, Granger causality and dynamic panel data regression with systemic GMM estimators are utilized as methods of the analysis. The results show a positive significant correlation exists between the state budget of HE and unemployment rate. Moreover, in provincial level, number of students and assignments Granger cause unemployment in some lags. Dynamic panel data model with numerous specifications also approve a positive significant relationship between HE expansion in provinces and their unemployment rate, however, the effect is not the same considering different models, especially for number of students.


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