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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.


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: Regional Economics: Theory and Practice, #7, 2019

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 University–Industry–Government 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.


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 Cobb–Douglas production function and investment included into the capital stock, Harrod–Domar 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.


Differentiating the Russian regions through an econometric analysis by socio-economic indicators influencing the consumer demand

Pakhomov A.V. NPK Dedal (Rosatom State Corporation Company), 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.V. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( olga_r2006@mail.ru )

Journal: National Interests: Priorities and Security, #12, 2017

Importance The article focuses on a correlation between regional socio-economic indicators and amount of various retail loans, gross portfolio of which represents one of the institutional determinants of consumer demand. We review a spectrum of characteristics for finding the best forms to interact and coordinate interests of the State, real economy, banking and the public in socio-economic transformations.
Objectives The regions are differentiated by aspect influencing retail lending.
Methods The research is performed in two steps. First, socio-economic indicators are checked. Second, the regions are differentiated on the basis of the analyzable socioeconomic indicators using cluster analysis methods.
Results Classifications based on different indicators and methods may lead to similar and even approximate results. However, as an in-depth analysis of items within the same population (cluster) shows, substantial discrepancies may arise from one or several factors, thus proving that they shall be attributed to different groups. The substantive interpretation of regions' similarities and differences helps adjust the outcome, consider the specifics of each subject and create conditions for making informed decisions on governance of vast territories.
Conclusions and Relevance The research may become a substantive and instrumental underpinning for further recommendations for federal and regional authorities to address consumer demand issues and assess its effect on the development of economic systems at different levels.


Foreign experience in managing the investment portfolio of the sovereign wealth fund

Vasil'eva N.V. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( nvas@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 )

Porkhovnyuk O.N. BFT-Dubna, Dubna, Moscow Oblast, Russian Federation ( okslukan@inbox.ru )

Journal: National Interests: Priorities and Security, #5, 2016

Importance Having the Reserve Fund and the National Wealth Fund, Russia has an important advantage. Russia will further overcome consequences of the global financial and economic crisis and successfully evolve if the Russian wealth funds are effectively and reasonably invested within the nearest years. It is critical to study the advanced practices of global sovereign wealth funds.
Objectives Illustrating Norway's Governmental Pension Fund Global, the research evaluates the strategy for managing the investment portfolio of the sovereign wealth fund so to use it in the Russian current environment.
Methods We examined the advanced practices of foreign sovereign wealth funds, and we present a modified version of the Markowitz model, which describes how the optimized investment portfolio of Norway's Governmental Pension Fund Global can be formed in line with the specifics of the sovereign wealth fund and restrictions imposed by the Norwegian government. We also built a linear programming model.
Results The Markowitz model and the linear programming model will allow evaluating the efficiency and appropriateness of contributions to the investment portfolio of Norway's Governmental Pension Fund Global.
Conclusions and Relevance The above models can be used to perform a basic evaluation of investment portfolios of sovereign wealth funds and to develop ad hoc methods, considering specifics of any sovereign wealth fund.


Econometric analysis of innovative development drivers in the Russian economy

Istomina S.V. JSC Atomenergoproect, Rosatom State Corporation Company, Moscow, Russian Federation ( istomina_sv@aep.ru )

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 ( rector@uni-dubna.ru )

Journal: National Interests: Priorities and Security, #10, 2018

Subject The article deals with factors shaping the innovative potential and organizational and economic relations that arise during the formation and use of the innovative potential.
Objectives The research identifies key drivers of the national innovative potential.
Methods We continue setting up an instrumental and methodological approach to adapting the triple helix model to Russia. In this research, we investigate whether University, Industry and Government may cooperate on innovation. We determine it by evaluating how each element influences the origination of innovation.
Results Statistical data herein are divided into three parts by original space – Knowledge, Consensus and Innovation. The article presents econometric models allowing to find factors influencing the innovative potential of the national economy. Based on the models, we make statistically reasonable conclusions and assessments.
Conclusions and Relevance We identified fundamental factors influencing the number of innovations implemented in Russia for a 15-year period – the level of federal funding, percentage of innovative goods in the total number of goods shipped, specialists with academic degrees. Considering the interaction of the spaces, the Knowledge space acted positively. Summarizing results of quantitative analysis and available facts, we infer that the national economic growth becomes feasible if the State allocates more funding for innovative researches. However, the State should noticeably pay more attention to the national education and science.


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