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The aim of this study is to highlight the characteristics of corruption and non-academic behaviour in higher education. Using data series recorded at a representative student sample we emphasise causal relationships between certain components of corruption and aspects of academic behaviour in universities, and the usefulness and quality of university education. The novelty of this study is the usage of a simultaneous equation model in analysing the causal relationship between corruption, academic behaviour, the quality of education and the utility of studies. By applying the simultaneous equation model we outline a number of factors that can directly contribute to the reduction of corruption. These factors include the stimulation of the academic behaviour of students and teachers, the improvement of the quality of education, and the increase of the usefulness of studies in personality development.

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The aim of this study is to shed some light on the factors determining the investment decisions of Sovereign Wealth Funds. Using the financial data from companies listed on the Warsaw Stock Exchange, the author employs a logit model to analyse the probability that firms are targeted for investment by the Norwegian Sovereign Wealth Fund. These findings suggest that not only the growth of earnings per share increases the probability of such investment, but that also a company whose shares have been bought by the Government Pension Fund Global has, on average, a higher level of earnings per share than companies not targeted by the Fund. This study contributes to a deeper understanding of the investment activities of the world’s largest Sovereign Wealth Fund.

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This article attempts to estimate the total factor productivity (TFP) for 35 NUTS-2 regions of the Visegrad Group countries and to identify its determinants. The TFP values are estimated on the basis of the Cobb-Douglas production function, with the assumption of regional differences in productivity. The parameters of the productivity function were analysed with panel data, using a fixed effects model.

There are many economic variables that influence the TFP level. Some of them are highly correlated, and therefore the factor analysis was applied to extract the common factors – the latent variables that capture the common variance among those observed variables that have similar patterns of responses. This statistical procedure uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. Each component is interpreted using the contributions of variables to the respective component.

I estimated a dynamic panel data model describing TFP formation by regions. An attempt was made to incorporate the common factors among the model’s explanatory variables. One of them, representing the effects of research activity, proved to be significant.

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Abstract

The research examines the sustainability of trade flows for two European post-communist economies: Serbia and Romania. We analysed two nonlinear forms of the relationship between exports and imports that cannot be explained by frequently applied linear model specifications. Newly developed nonlinear autoregressive distributed lag approach revealed the asymmetric and nonlinear long-run equilibrium between Serbian exports and imports. Nonlinearity tests indicated and the SETAR model specification confirmed threshold nonlinearity form in the Serbian trade flows pattern. Serbian trade flows still approach its sustainable equilibrium but the development pattern is promising. The results for Romania revealed another nonlinear form of the relationship between exports and imports, indicating a dependent cointegration. The paper provides robust results and supports the hypothesis that the relationship between exports and imports can be nonlinear and symmetric.

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Abstract  

A composite mixture of zirconium molybdate and zirconium tungstate was prepared and studied for the sorption of cesium and strontium as a function of nitric acid, metal ion concentration, time and temperature. The distribution coefficient (Kd) of 7000 ml/g (~90% sorption) and 70 ml/g (~20% sorption) was obtained for the sorption of cesium and strontium in 0.1M nitric acid, respectively. Experimental sorption capacity, b for cesium was found to be 50 mg/g from 0.1M HNO3 and 30 mg/g for strontium from 0.001M nitric acid. The sorption of strontium on the sorbent was accompanied by the absorption of heat but the sorption of Cs+ results in the liberation of heat. Column studies were conducted by following a breakthrough (BT) curve of cesium and strontium up to C/C0=1 and the results are reported.

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Generalized Convexity, held in Luminy (France) 237 256 Ginchev, I., Guerraggio, A. and Roca, M., First-order conditions for C 0,1 constarined vector

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Реэюме  

Для 2π-периодических функций fL p(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
), 1 ≤ p < ∞, σV(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
и gL(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
) рассмамриваюмся свермки
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$(f*d\sigma )_T (x) = \int_0^{2\pi } {f(x - t)d\sigma (t), } (f*g)_T (x) = \int_0^{2\pi } {f(x - t)g(t)dt.}$$ \end{document}
. Найдено необходимое и досмамочное условие на функцию σV(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
), или gL(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
), при комором множесмво эначений соомвемсмвюшего операмора свермки, определенного на просмрансмве L p(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
), пломно в просмрансмве L p(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
), 1 ≤ p < ∞. Аналогичный реэульмам получен для операморов двоичной свермки
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$(f*g)_2 (x) = \int_0^1 {f(x \oplus t)g(t)dt,}$$ \end{document}
где ⊕ — операция двоичного сложения на омреэке [0,1). Кроме мого, докаэано, чмо в просмрансмвах L p(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
), 1 ≤ p < ∞, и C(
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$\mathbb{T}$$ \end{document}
) не сушесмвуем баэисов иэ сдвигов одной функции. Аналогичный реэульмам получен для просмрансмв L p[0,1]*, 1 ≤ p < ∞, и C[0,1]* омносимельно двоичных сдвигов, где [0,1]* — модифицированный омреэок [0,1]. QDокаэано макже, чмо в просмрансмве L(ℝ+) не суъесмвуем баэиса иэ двоичных сдвигов одной функции.
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. ( 1998 ): A Classification of Empirical CGE Modelling . SOM Research Report, 99C01. University of Groningen, The Netherlands. Tobin , J. ( 1971 ): Essays in Economics

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A franciaországi bevándorlógyerekek oktatása

Schooling of Children of Immigrants in France

Educatio
Author: Iván Bajomi

-des-formations%2Fformations-2017-2018&data=02%7C01%7Cbeata.barna%40akademiai.hu%7Cb5f66f07cda6425d2e6508d557855fe8%7C8ac76c91e7f141ffa89c3553b2da2c17%7C1%7C0%7C636511152718665817&sdata=cYdC3ITtzWTvrkWawjEnNl%2B5LJDoXjAN8NX3J7CPJQM%3D&reserved=0

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Migráció és munkapiac. Az EU-tagság 15 éve

Migration and Labour Market – Reflections on the 15 Years of EU Membership

Educatio
Author: Ágnes Hárs

Directorate, Home Office: London, UK. Letölhető: https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fdiscovery-dev.ucl.ac.uk%2F14332&data=02%7C01%7Cbeata.barna%40akademiai.hu%7C9c9c9435d4ec43a3a06a08d6ca97f94a%7C8ac76c91e7

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