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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 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.


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 application of production functions to analyze the effect of fixed assets on economic growth in the Russian Federation

Lychagina T.A. 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 )

Pisareva D.A. Dubna Administration, Dubna, Moscow Oblast, Russian Federation ( pisarevada@mail.ru )

Journal: National Interests: Priorities and Security, #10, 2016

Importance The research examines how fixed assets of the Russian Federation influence an economic growth of the country through production functions.
Objectives The research formulates methods to analyze how the state of fixed assets influence the economic growth in Russia, and confirms the critical condition of the fixed assets through econometric modeling of economic growth.
Methods We conducted an econometric analysis using the CobbDouglas production functions. We used a linear least-squares method to set a linear model and nonlinear unconditional optimization to set a nonlinear model using the LevenbergMarquardt iteration algorithm.
Results Using production functions, we analyzed how the state of fixed assets of the Russian Federation had been influencing the economic growth for 19992013. We built three regression model of the CobbDouglas production function. Drawing upon the regressions, we analyzed the production function, which approximates empirical material most and adequately describes the economic condition of Russia. The least-squares linear method provides a more exact description of empirical material than the nonlinear LevenbergMarquardt algorithm. The sequence of analytical steps can lay the basis for methods to analyze how socio-economic factors influence the development of Russia.
Conclusions and Relevance The findings verify official data on the critical condition of Russias fixed assets, thus posing a significant threat to the national economic security. The national investment policy, which pursues new high-tech (innovative) enterprises, does not exclude the renewal of fixed assets in the existing enterprises in order to prevent the falldown in production and technological catastrophes.


Analyzing the financial position of the production enterprise using the fuzzy set framework

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

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

Golubeva M.S. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( mariya.20.06.92@mail.ru )

Journal: National Interests: Priorities and Security, #35, 2015

Importance The article demonstrates a method for analyzing the financial position of the production enterprise. To evaluate the financial position of the business entity, it is necessary to assess a lot of various indicators and use them to conclude on the entity's position as a whole. Many financial indicators have no exact rates or standards, being strongly dependent on the industry the entity operates in. Classical bankruptcy probability evaluation models cannot deal with such data. In such cases, the fuzzy set framework can be used. The research draws upon this method to calculate an integral indicator that depicts the financial position of the entity.
     Objectives The objective of the research is to analyze the financial position of the entity using the fuzzy set framework. In this respect, we computed six local financial indicators and used them to get an integral fuzzy indicator.
     Methods The research relies upon the fuzzy set framework. Two methods were used to defuzzify the integral indicator, i.e. the Mean of Maximum defuzzification method and the center method.
     Results Following the research, we could conclude on the financial position of the entity, compare various methods for analyzing corporate performance and obtain the final result. We also analyzed the correlation of estimates we obtained using different defuzzification methods and made general conclusions on the use of the fuzzy set framework for similar economic purposes.
     Conclusions We conclude that results do not contradict each other, even if various methods are used. We also illustrate that the fuzzy set framework is easy and flexible for analyzing the financial position of the entity.


The technique for determining the innovative potential of socio-economic actors at different hierarchical levels through elements of the vector analysis and field theory

Istomina S.V. Atomenergoproekt, State Atomic Energy Corporation ROSATOM, 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 ( uni-dubna@mail.ru )

Pakhomov A.V. NPK Dedal, State Atomic Energy Corporation ROSATOM, Dubna, Moscow Oblast, Russian Federation ( pakhomov_av@dedal.ru )

Journal: National Interests: Priorities and Security, #1, 2018

Importance The article focuses on the phenomenon of innovative potential of socio?economic actors at different hierarchical levels (macro-, meso-, micro-) through the triple interaction of university, industry and government.
Objectives We devise our own toolkit by involving elements of vector calculus and field theory so as to analyze how innovation influences the development of the above actors, and test it from perspectives of defining the innovative potential of Russia as a macroactor.
Methods The research draws upon elements of vector calculus and field theory (gradient, divergence, continuity equation), method of analogies to adapt concepts of natural sciences to economics (dividing the above actors' characteristics into structural and dynamic by their substantive comparison), regression analysis to define components of the regions innovative potential.
Results We devise the technique for defining the innovative potential of socio-economic actors at different hierarchical levels through the lens of the triple helix UniversityIndustryGovernment. The innovative potential is represented with three elements. The proposed tool kit was tested by examining trends in Russia's innovative potential during 20102015. As the analysis shows, the 'University' element makes the most valuable contribution.
Conclusions and Relevance Having tested the technique, we assured not only its practical significance, flexibility of the proposed toolkit, but also a method for handling official statistics irrespective of its quality. Domestic data processing is too difficult that it shall be compensated with a transparent and concise toolkit.


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