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Features of business administration of joint state-private ownership

Kolesnik G.V. PhD of physical and mathematical sciences, adviser, JSC IDGC Holding ( crysalis@mail.ru )

Pisareva A.V. graduate student of department Mathematical statistics and the system analysis, Tver State University ( pisarevaav@list.ru )

Journal: Financial Analytics: Science and Experience, #2, 2012

Influence of qualitative heterogeneity of interests of proprietors on efficiency of activity of the enterprises is investigated. The mathematical model of the operation of business is formulated, being in the joint is private-state ownership, dependence market from distribution of the property rights to the enterprises in the conditions of monopoly and oligopolistic the market is analyzed.


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.


Harmonic and spectral analysis to identify key development cycles of the socio-economic system: Evidence from agriculture

Vazhenina V.S. Dubna International University, Dubna, Moscow Oblast, Russian Federation ( valentino91@yandex.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, #11, 2016

Importance When development cycles of the socio-economic system are determined, it helps to understand causes of some events. Agriculture is one of the fundamental industries, with its development cycles being the subject of this research. It is especially important to analyze the development of agriculture so to subsequently make up relevant decisions on the industry development in modern Russia, considering historical retrospect and anti-Russian sanctions.
Objectives The research analyzes isolated time series of available data on the agricultural development in the USSR (19701990) and the Russian Federation. We also identify key development cycles of agriculture and try to provide an economic interpretation of the cyclicality.
Methods We involved the econometric framework, harmonic analysis (Fourier), spectral analysis, extended algorithm for studying time series and identifying considerable harmonics. We used the LevinsonDurbin algorithm in the Wolfram Mathematica 10 software application to solve the YuleWalker equations.
Results We found key development cycles of agriculture and provided an economic interpretation of what could possibly cause the cycles of such time series as Crop Yield, Livestock Number, Agricultural Machines.
Conclusions and Relevance The industry had been developing more intensively for 19701990 as compared with 19912012. The 19701990 cyclicality can be explained with the five-year economic plans practiced in the USSR economy. Even if unbiased and objective mathematical tools detect strengths of the State-planned economy, then the past experience and practices should be examined more thoroughly in terms of organizational mechanisms so to adapt them to contemporary economic conditions.


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.


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