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Applying the non-numeric data statistics methods to analyze objects: The Moscow Oblast municipality case

Lychagina T.A. Joint Institute for Nuclear Research, Dubna, Moscow Oblast, Russian Federation ( lychagina@jinr.ru )

Pakhomova E.A. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( pakhomova.ea@phystech.edu )

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

Starostin E.A. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( starostinudjin1@mail.ru )

Journal: Economic Analysis: Theory and Practice, #10, 2018

Subject The article addresses the estimation of social and economic activity of territories as parties to competitive relationships.
Objectives The aim is to construct an integral index to assess the degree of area's attractiveness based on non-numeric data statistics methods.
Methods The choice of research techniques is dictated by the specifics of socio-economic problems. To find solutions often involves non-numeric data that are highly dependent on the scope of activities and subjective estimation. We employ expert estimations and the fuzzy set theory tools using the results of the survey for the Dubna State University graduates.
Results We selected socio-economic indicators for the Moscow Oblast for 20152016 and developed a sequential algorithm that includes stages of processing the expert opinions through paired comparison, rationing, ranking, system of weights determination, membership function construction and integral index calculation for each year. The obtained result shows that for the two analyzed years the integral indices of the Lyubertsy region's attractiveness were not high.
Conclusions The findings confirm the current ambiguous socio-economic situation in the region, which indicates the consistency of results obtained with the help of fuzzy set tools. The materials and conclusions of the study are an example of implementing new information technologies to manage the region. This expands the boundaries of practical use of the proposed tools.


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 Practice, #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 Practice, #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 Practice, #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.


The methodological approach to adapting models of the innovative process to the Russian environment

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

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

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

Journal: National Interests: Priorities and Security, #3, 2018

Importance In this research we study the interaction of three main structural components (University Industry Government) by analyzing the substance of the innovative process in principal foreign and Russian models of the innovative process and concepts of innovative systems.
Objectives We formulate scientific and methodological recommendations for adapting the innovative process models to the Russian environment by analyzing them and evaluating their strengths and weaknesses.
Methods The methodological framework comprises fundamental and applied researches of foreign and Russian scientists into models of the innovative processes, the Triple Helix concept by H. Etzkowitz, L. Leydesdorff, institutional principles of innovation management.
Results Having synthesized the analyzable approaches, we presented the national adaptation of generally accepted models of innovative development kept by six generations, suggested how the innovation process model should be modified.
Conclusions and Relevance We demonstrate that national researches into modeling of the innovative process are still fragmented, requiring further studies and a set of approaches to identifying all institutional processes and substantiating certain structural elements to be introduced into the Russian innovative system. The existing models are not yet compliant with the economic substance of sectoral interaction, while institutional gaps among institutions and practices aggravate them.


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