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The analysis of the outstripping education regional function

Pakhomova E.A. Candidate of Science (Technical), Associate Professor, Dubna International University for Nature, Society, and Man ( uni-dubna@mail.ru )

Kainova O.V. the postgraduate student of chair Economy, Dubna international university for Nature, Society, and Man ( lejla-2006@mail.ru )

Journal: Regional Economics: Theory and Pactice, #5, 2010

In the article the influence of the university / college education system on social-economic development of the Russian regions with use the coordinate diagnostic method, the leverage estimation and the regression analysis is researched.


Education as key factor in modernization of Russian economy

Pakhomova E.A. Doctor of Economic Sciences, Professor of department "Economy", International University of Nature, Society and Man, "Dubna" ( uni-dubna@mail.ru )

Pakhomov .V. PhD of Economic Sciences, Associate Professor, Deputy Director on Economics of Scientific Production Complex "Daedalus", Dubna ( dubna@list.ru )

Journal: Economic Analysis: Theory and Practice, #31, 2012

In the article the generalized results of research of methodological and tool bases of an assessment of influence of higher education institution of the science city on efficiency of regional development in a context of joint meeting of scientific advisory council on anti-recessionary policy of analytical management of State Duma administration are presented.


The statistic nonparametric methods for the University - Science Town - Region system development

Pakhomova E.A. Candidate of Science (Technical), Associate Professor, Dubna International University for Nature, Society, and Man ( uni-dubna@mail.ru )

Journal: Regional Economics: Theory and Pactice, #36, 2009

In the article the algorithm to the choice of the best way of the social-economic development of the university, science town and region is offered. The algorithm is founded on combination of the methodological approach of subject-oriented composition and the statistic nonparametric methods. The factors selection method to characterize region, science town and university is offered. The models of mutual direct and inverse influence of the university, science town and region are built. This algorithm is realized for Dubna University.


Sovereign fund as an instrument of macroeconomic regulation

Alektorskaya M.M. Dubna International University for Nature, Society and Man, Dubna, Moscow region, Russian Federation ( amm.sunshine@mail.ru )

Pakhomov A.V. Dubna International University for Nature, Society and Man, Dubna, Moscow region, Russian Federation ( dubna@list.ru )

Pakhomova E.A. Dubna International University for Nature, Society and Man, Dubna, Moscow region, Russian Federation ( uni-dubna@mail.ru )

Journal: National interests: priorities and security, #28, 2014

In this article we are studying a sovereign fund institution as a complex system: a structured approach was based on the model of macroeconomic equilibrium of the three balances IS-LM-BP (balance of goods, money balance, the countrys balance of payments), and as for the functional approach, we used econometric tools for the sovereign wealth fund of Norway as the case study.


The methodical approach to an estimation of influence of high school on social and economic development of the region

Panov S.A. Doctor of Technical sciences, professor, head of department Economics, International University of Nature, Society and Human, Dubna ( panov-s-a@mail.ru )

Pakhomova E.A. Doctor of Economics, associated professor of department Economy, International University of Nature, Society and Human, Dubna ( uni-dubna@mail.ru )

Pakhomov A.V. PhD in Economics, associated professor of department Economy, International University of Nature, Society and Human, Dubna ( dubna@list.ru )

Krupneva Y.V. Graduate student of department Economy, International University of Nature, Society and Human, Dubna ( kruuv@yandex.ru )

Journal: Regional Economics: Theory and Pactice, #6, 2012

In the article the methodological approach to assessing the university influence on the social-economic region development for an example of Dubna University on the basis of investment principle with the project and without project is presented. The formation of program for social-economic processes research in order to obtain statistical data on the prospective project participants is the main part of this approach. The reliability of the results with econometrics and applied statistics methods is investigated.


Method of coordinate diagnosing for the comparative analysis of social and economic development science city (for example of science city Dubna of Moscow Region and Obninsk of the Kaluga region)

Panov S.A. Doctor of Technical sciences, professor, head of department Economy, International University of Nature, Society and Person " ( Dubna" )

Pakhomova E.A. Doctor of Economics, associate professor of department Economy, International University of Nature, Society and Man " ( Dubna" )

Pakhomov A.V. PhD in Economics, associated professor, associate professor of department Economy, International University of Nature, Society and Man " ( Dubna" )

Solodova E.N. Graduate student of department Economy, International University of Nature, Society and Man " ( Dubna" )

Journal: National interests: priorities and security, #8, 2012

In the article development of social and educational effects of scientific cities Dubna and Obninsk is investigated by a method of coordinate diagnosing. The comparative analysis of development of these effects for considered scientific city is presented. Definition of a vector of the coordinated development of two effects and transition quantity indicators to the coordinated development is offered.


A comprehensive analysis of the socio-economic situation of municipal districts on the basis of economic-mathematical tools: Evidence from the Moscow oblast

Pakhomova E.A. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( uni-dubna@mail.ru )

Kharcheva K.S. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( kharcheva562@gmail.com )

Sharkova T.S. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( sharkovat1994@gmail.com )

Journal: National interests: priorities and security, #9, 2016

Subject The article deals with the issues of regional social and economic development.
Objectives The paper aims to perform a comprehensive analysis of the socio-economic situation of the municipal districts of the Moscow oblast to objectively assess the socio-economic condition of the oblast's substructures, i.e. the municipal districts of North-Western and South-Eastern parts of the Moscow oblast, and verify the results obtained for the Moscow oblast as a whole.
Methods For the research, we used the methods of factorial and cluster analyses, i.e. single-linkage clustering criterion and Ward's minimum variance method.
Results The data obtained using factor and cluster analyses, prove to be consistent, that testifies to their sustainability. The clustering of a large-scale integrated object is virtually identical with the clustering in parts.
Conclusions and Relevance The paper concludes about the consistency of the results of applying the various techniques. The results obtained can be used in practice by the administrations of municipalities to arrive at decisions on the development of the territories. Moreover, they can serve as the basis for the development of research techniques to assess staffing needs at the regional level.


The Triple Helix model: Development prospects in Russia

Istomina S.V. AO Atomenergoproekt, Moscow, Russian Federation ( istomina_sv@aep.ru )

Lychagina T.F. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( lychagina@jinr.ru )

Pakhomova E.A. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( uni-dubna@mail.ru )

Journal: National interests: priorities and security, #12, 2016

Importance The research examines the triple helix model so to adapt it to the Russian conditions.
Objectives The research analyzes whether the adapted triple helix model is applicable in Russia by studying the empirical framework engendering and developing the triadic relationship of UniversityIndustryGovernment as set forth in the Triple Helix theory.
Methods We carried out a systems analysis of the empirical framework of the triple helix model, which laid the basis for the scheme for developing the collaboration of the above components, determined the environment that would contribute to the triadic collaboration process.
Results We structured the empirical framework for the triple helix model, analyzed and determined the origination of new structures and substructures, studied the development process when structural components worked together. We also proved that the collaboration process could be initiated by any party of the triple helix model.
Conclusions and Relevance Having conducted the systems analysis of the empirical framework for the triple helix model, we identified structural components, their substance, devised their collaboration schemes, and specified some principles that should be adapted to Russia. The analysis became the conceptual framework for the Russian version of the triple helix model that will entail the development of economic and mathematical tools to describe it on the basis of our previous researches.


Econometric modeling of employment on the basis of the industrial distinctions

Pakhomov A.V. AO NPK Dedal, Dubna, Moscow Oblast, Russian Federation ( pakhomov_av@dedal.ru )

Pakhomova E.A. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( uni-dubna@mail.ru )

Rozhkova O.V. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( olga_r2006@mail.ru )

Journal: National interests: priorities and security, #11, 2017

Importance The article discusses models for employment forecast in the long and short run. It also focuses on demand and supply factors in the labor market of the Moscow oblast.
Objectives We analyze the most common forecasting models by revealing the substance of the population employment forecast and examining how different indicators influence supply and demand in the labor market of the Moscow oblast.
Methods Considering the key factors of labor demand, we make a specification for employment modeling. We use the data deflation technique to conduct a comparative analysis. We overview neoclassical models and Keynesian model, specifications based on the CobbDouglas production function and investment included into the capital stock, HarrodDomar model specification, multivariate regression equations.
Results The article systematizes theoretical aspects of employment, identifies key factors of labor demand and substantiates the importance of industrial distinctions to be taken into account in modeling the region's employment.
Conclusions and Relevance Labor resource demand has changed in the labor market of the Moscow oblast. We conclude respective demand factors shall be primarily taken into account to construct regional employment models. Having analyzed contemporary approaches to regional employment forecasts, we found a lot of unresolved issues relating to theoretical, methodological, organizational and technical aspects.


An econometric analysis of some sectoral indicators of the USSR and Russia's economies in line with historical retrospect

Davtyan T.B. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( tiko.kimry@mail.ru )

Pakhomov A.V. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( dubna@list.ru )

Pakhomova E.A. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( uni-dubna@mail.ru )

Rozhkova O.V. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( olga_r2006@mail.ru )

Journal: National interests: priorities and security, #1, 2017

Importance The article examines some sectoral indicators of the economies of the USSR and Russia to evaluate internal and cross-sectoral relations for the period from 1970 through 2012, when the national economy suffered drastic transformation. We also perform a comparative analysis and determine opportunities for the national development in the current circumstances and in line with historical retrospect.
Objectives The research represents a comparative analysis of the way some sectoral indicators developed in the economies of the USSR and Russia, using an econometric framework.
Methods The research draws upon econometric methods, such as correlation and regression analysis, time series framework. To compare the economy of the Soviet and Russian period, we approached to data deflation techniques.
Results The quality of instrumental results requires the gradual process of their attainment. We managed not only to provide an unambiguous correlation of the findings with the proceedings of V.N. Livshits, but also get an insight into the specifics of tools.
Conclusions and Relevance The instrumental analysis of a part of the national economy unfolds the specifics of its development in different historical periods and represents a consistent contemplation on cold historical statistics. The research proves it is necessary to continue the research as it is extensive and comprehensive, and internal and cross-sectoral indicators should be analyzed.


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