Переход к рынку в России и его влияние на международную интеграцию
The Higher Education and universities have high impact for regional development and youth migration. We suggest what the migration of people with a high level of knowledge (called “brain drain”) is detrimental for the region of emigration. High level universities attract the best students and growth the brain drain. There are close relationships between neighboring regions. Distance can be understood as a barrier of human capital growth. Geographical distance between parental home and college poses a potential barrier to higher education entry, and could be a deciding factor when choosing between institutions. Similar issues potentially arise when considering who goes to which universities, because students with different backgrounds and abilities choose different types and qualities of universities, and the spatial distribution of both university types and student characteristics is not uniform. But at the same time there are the researches which don’t find the impact of distance to accessibility of higher education. The distance a pupil lives from their nearest university has little effect on the likelihood that they go to university. There are many articles describe the social Neighborhood Effects of universities. But the question about geography and place is too often overlooked. The paper of Cullinan and Duggan presents a gravity model of student migration flows to HEIs in Ireland. Their analysis suggests that while geography plays a very important role in explaining student flows. Available studies about student migration cover the territory of England, Ireland, Romania, Poland, US, Canada etc. But we don’t have the works which explain the spatial effect of Russian universities to youth migration. In this article we observe the example of Kazan federal university and her spatial effect to educational migration. The case of Kazan federal university is very important. It’s a one of ten federal university of Russia. More of 30.000 students study in university, 80% of them is from Volga Federal district. The study allowed to find the neighbors of the first and second order, who are influenced by a strong neighbor.
Using the Rosstat panel data for the 2001-2008 period we estimate the gravity model of migration between Russian regions. We show that though the migration flows have been quite stable, their determinants have changed substantially. Special attention is drawn to the role of distance between the regions. So far we have found out that social and economic factors are affecting migration between nearby regions. Yet our attempts to model the flows between distant (>500 km) places have lead to very poor goodness of fit.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.