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A methodological approach to analyzing the effect of fixed assets on economic growth in Russia by the production functions of complex variables

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

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

Kopylova T.V. Dubna State University, Dubna, Moscow Oblast, Russian Federation ( tv-kopylova@mail.ru )

Journal: Economic Analysis: Theory and Practice, #10, 2019

Subject The article assesses the impact of fixed assets on economic growth of Russia, using our unique methodology.
Objectives The aim is to determine the possibility and feasibility of using the tools of the theory of functions of a complex variable for the construction of production functions as part of the analysis of the impact of condition of fixed assets on economic growth of Russia.
Methods We employ the econometrics tools, the LevenbergMarquardt algorithm in the Wolfram Mathematica 10 software package, algebraic operations with complex variables, the tools of production functions of actual and complex argument.
Results We developed and tested methods to analyze the impact of fixed assets on economic development of Russia, using production functions of actual and complex arguments.
Conclusions If the model production function of the actual argument has a certain quality and, at the same time, certain shortcomings, but has a meaningful content reflecting the reality, is it possible to make alternative calculations with the complex argument function to check the stability of the meaningful result. In other words, in case of insufficient quality of the model of production function of the actual argument, the use of production function of complex argument may serve as an additional tool that enables to use the actual argument in the event of substantial inconsistency of both functions.


The Use of Econometric Tools for Cost Management Analysis

Pakhomov A.V. AO Scientific and Production Complex Dedal (Rosatom State Atomic Energy Corporation), Dubna, Moscow Oblast, Russian Federation ( pakhomov_av@dedal.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 )

Journal: Digest Finance, #1, 2019

Subject The article analyzes the cost management cycle, being a determinant of the economic result embodies in profit and better competitiveness.
Objectives Using econometric tools, we conduct an extended analysis of the cost management process by modifying and implementing components of the financial position specification technique and segregating conditionally fixed and conditionally variable costs from total costs of an entity as an element of its external environment.
Methods We relied upon financial documents of the entity producing consumer goods of limited diversity, framework of multiple regression and the financial position specification technique.
Results Having adjusted the initial technique for the specifics of the analyzable issue, we managed to expand the scope of the tools and proposed what aspects of the model should be developed so to streamline the departure from the traditional classification of economic processes into micro-, meso- and macrolevels. We analyzed the correlation of production output by brand, general fixed costs, variable costs per product unit and performance results through the break-even analysis so to make precise measurements of conditionally fixed and conditionally variable costs. The analysis revealed that the entity's operations will remain breakeven within five years to come. Making the substantive interpretation of causes and consequences of the proposed transformations and values, we take the specifics of each item into consideration, adjust tools and make assumptions for further specification in accordance with a life cycle stage, external environment, regional and macroeconomic trends, etc.
Conclusions and Relevance As the computations show, costs can be segregated, with modern information and computing tools being able to ensure not only an operational and practicable algorithm, but also the sufficient quality of analytical finding, which would allow to make and implement further managerial decisions.


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.


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.


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.


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.


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.


Building the model for predicting the regions staffing needs through the CobbDouglas production function

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

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

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

Journal: National Interests: Priorities and Security, #2, 2018

Importance The article proposes the model for predicting staffing needs of municipal districts in the Moscow Oblast through economic and mathematical modeling and some programming techniques.
Objectives The research analyzes staffing needs of municipal districts of the Moscow Oblast.
Methods The proposed methodology for a staffing needs analysis follows our research into staffing needs and distribution of human resources among regions and sectors in order to determine whether staffing needs can be forecasted regionally for ensuring the competitiveness of the national economy and increasing living standards. Inputs are processed using methods of norm setting, deflation, assessment of integral indicators in five modifications. We also apply the CobbDouglas functions, classical method of least squares, non-linear unconstrained optimization and LevenbergMarquardt algorithm.
Results Using MS Excel, STATISTICA 12, Wolfram Mathematica 11, we set regression models of the CobbDouglas functions. We selected the correlations, which adequately approximate empirical material to quality criteria. The CobbDouglas classical function with restricted specification parameters is not suitable for describing the Russian non?stationary economy. However, a modified function can be constructed.
Conclusions and Relevance The progress of the analysis may underlie the formation of the techniques for predicting the regions staffing needs. The research materials may be used by public authorities to analyze and forecast regional labor markets and plan educational institutions activities.


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.


Applying the econometric tools to analyze a cost management process

Pakhomov A.V. AO Scientific and Production Complex Dedal (Rosatom State Atomic Energy Corporation), Dubna, Moscow Oblast, Russian Federation ( pakhomov_av@dedal.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 )

Journal: Economic Analysis: Theory and Practice, #12, 2018

Subject The article analyzes a cost management cycle, being a determinant in economic result formation, which is expressed by profit, and in competitiveness enhancement.
Objectives The purpose is to use econometric tools to expand the analysis of cost management process through the modification and practical implementation of methodology components for multilevel systematic itemization of financials, and to highlight semi-variable and semi-fixed costs in total costs of the enterprise as an element of its external environment.
Methods The study employs a multiple regression technique and multilevel systematic itemization of enterprise financials.
Results The original methodology modification based on the specifics of the problem under analysis enabled to expand the scope of tools and offer directions of model development that take into account the departure from the traditional split of economic processes at the micro, meso, and macro levels. We considered relationships between the volume of production by brand, total amount of fixed costs, variable costs per unit, and performance with the help of assessing the break-even point. The analysis helped confirm semi-fixed and semi-variable costs and showed that the enterprise will remain in the break-even zone for the next five years.
Conclusions The calculations demonstrate that it is possible to solve the problem of cost splitting. Modern information and computer tools can provide a labor-saving algorithm and adequate quality of results of analytical activity to develop and implement further administrative decisions.


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