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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.


Building the model for predicting the region’s staffing needs through the Cobb–Douglas 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 Cobb–Douglas functions, classical method of least squares, non-linear unconstrained optimization and Levenberg–Marquardt algorithm.
Results Using MS Excel, STATISTICA 12, Wolfram Mathematica 11, we set regression models of the Cobb–Douglas functions. We selected the correlations, which adequately approximate empirical material to quality criteria. The Cobb–Douglas 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 region’s staffing needs. The research materials may be used by public authorities to analyze and forecast regional labor markets and plan educational institutions’ activities.


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