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        Productivity and Economic Growth by Using Business Management Based on the E-marketing: Evidence from Developed and Developing Countries, 2000-2018

        Vadim Ponkratov,Alan Karaev,Andrey Masterov,Oksana Gorlova,Marina Sedova,Nataliya Shmigol 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.3

        The paper presents a comparative analysis of the growth rates decomposition in 20 countries for the period from 2000 to 2018. In the research the authors used regression modeling based on the aggregate production function presented as multiplicative power Cobb-Douglas function. Having performed the regression analysis, the authors obtained numerical estimates of the model parameters for all analyzed countries: GDP elasticities of the considered countries by extensive factors - capital and labor, as well as by the impact of the intensive factor - TFP growth rates that present the dynamics of the resulting variable (GDP) at an acceptable level of significance. The chosen countries have been divided into clusters depending on the impact level of the analyzed factors onto the economic growth rate. The authors established the significant limitation of the neoclassical approach to analyzing the causes of economic growth due to using production functions with an aggregated result and the idea of the constant product specialization of a country. It was proposed to take into account the production structure of national economies when analyzing the pace and scale of economic development.

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        Economic and Mathematical Methods for Ranking Eastern European Universities

        Gennady Osipov,Svetlana Karepova,Vadim Ponkratov,Alan Karaev,Andrey Masterov,Marina Vasiljeva 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.1

        Assigning accurate qualitative ratings to Eastern European higher education institutions is critical in the face of high student mobility and competition with similar institutions in the USA, Central Europe, and Canada. This article aims to develop a methodological economic and mathematical approach to rating higher education institutions in Eastern European countries. An indicator system of the integral assessment of the education quality in Eastern Europe, considering the specific characteristics of national higher education systems, was formed during the research with the help of experts and taxonomic methods. A group of rating indicators of universities and their significance in determining the university’s ranking was substantiated. Using regression analysis, a multifactor model was developed to determine the rating of higher education institutions in the countries studied. The analysis demonstrates that the universities of Russia, the Czech Republic, and Poland are dominant in Eastern Europe. The study’s practical implementation can serve as a reference point and incentive for encouraging higher education institutions to provide a higher quality of education.

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