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Peculiarities and problems of small-scale business development: regional aspect

Grishin I.A. the Doctor of Economics, the professor of chair of management, the Volgograd state university ( )

Soboleva S.J. Cand.Econ.Sci., the senior lecturer of chair of management, the Volgograd state university ( )

Objedkova L.V. Cand.Econ.Sci., the senior lecturer of chair of management, the Volgograd state university ( )

Journal: National Interests: Priorities and Security, #31, 2011

In modern conditions researches of the formation and functioning of Russian small-scale enterprises acquire growing relevance due to their significance in social and economical country and regional spheres. However a number of problems impede the disclosure of small-scale business potential. In the present work the authors analyse social and economic factors preventing from the formation of small-scale industrial and agricultural businesses, regional peculiarities of their functioning and make the conclusion of the necessity of activating the integrating processes as well as the elaboration and implementation of regional programs supporting small-scale businesses.

Digital economy and its influence on specialist training in the field of accounting and audit

Soboleva G.V. Saint-Petersburg State University (SPbSU), St. Petersburg, Russian Federation ( g.v.soboleva@ )

Popova I.N. Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University), St. Petersburg, Russian Federation ( )

Terent'eva T.O. Saint-Petersburg State University (SPbSU), St. Petersburg, Russian Federation ( )

Journal: International Accounting, #4, 2019

Subject This article explores the current state of the labor market and higher education in the accounting field in view of the advent of the latest digital technologies.
Objectives The article aims to determine the degree of conformity of requirements of professional environment and competencies formed during the training of personnel for the accounting sector in higher educational institutions of the Russian Federation.
Methods For the study, we used the methods of statistical analysis, a sampling analysis, and the sampling questionnaire technique.
Results The article shows certain distribution of skills expected by the employer from applicants within the framework of the market model. The results of questioning of senior-year students testify to current absence of qualitative changes in labor market. The professional use of digital technology is still not implemented in the learning process in a full-fledged manner.
Conclusions The current changes in the state of the labor market in the accounting coincide with the general fluctuations of the market. Currently, most of requirements for accounting professionals do not imply the latest technologies use when performing the work. Educational processes in the Russian universities correspond to the potential requirements of the market, which is still not receptive to new technologies.

Evaluation of the interregional relations in the management of the subsidized region

Soboleva O.N. Vyatka State University, Kirov, Russian Federation ( )

Journal: Regional Economics: Theory and Practice, #32, 2014

The article, using various statistical methods, evaluates the role of interregional relationships in the development of a management system of the endowment area. The article gives an analysis of interregional links of the Kirov region and identifies weaknesses and the future directions for the formation of an effective control system.

Factors constraining innovative development of the region

Soboleva O.N. PhD in Economics, Associate Professor, Senior Lecturer, Department Regional Economy and Management, the Viatka State University ( )

Journal: Regional Economics: Theory and Practice, #8, 2013

In the article the main resource capacity of the region the earth as a basic resource of agro-industrial complex (agrarian and industrial complex) is considered. The analysis of negative factors of innovative development of agriculture of the Kirov region is carried out, the group of factors of innovative development of the region on descriptor classification signs is given.

Finance and reforming of banking system

Guseva A.I. PhD in Economics, professor of department Economy and management in industry, National Research Nuclear University MEPHI ( )

Soboleva E.S. Applicant of department Economy and management in industry, National Research Nuclear University MEPHI, expert of CJSC Sberbank - Technology ( )

Journal: Financial Analytics: Science and Experience, #1, 2012

The article focuses on the question of problems in banking sector of RF economics. The banking system is not completely successful in Russia. There are many gaps in banking legislation, which allow using banking operations not in customers interest. So, banking legislation system should be reformed.

Positioning of Russia's regions based on multivariate classification and typical regional innovative investment strategy

Mashegov P.N. professor of chair Finance, monetary circulation, credit and banks, Oryol state technical university ( )

Soboleva T.S. teacher of chair Mathematical and information analysis of economy processes, Oryol state technical university ( )

Journal: Regional Economics: Theory and Practice, #19, 2011

In the work positioning system of regions, based on the use of formal methods of cluster analysis and analysis of causality. Multidimensional classification is based on an analysis of data on innovation and investment processes in Russia's regions. It can be used to select a total of innovative investment strategies for development of the territory, while expanding the number of analyzed parameters for its detail. Also, this method allows ranking of individual activities in terms of their compliance with the chosen vector of economic development.

Adjusted human development index and its application for management of sustainable development of the Central Federal District regions: Evidence from the Tula Oblast

Zhukov R.A. Tula Branch of Financial University under Government of Russian Federation, Tula, Russian Federation ( )

Zhuravlev S.D. AO KBP Instrument Design Bureau named after Academician A. Shipunov, Tula, Russian Federation ( )

Soboleva D.V. Tula State University, Tula, Russian Federation ( )

Journal: Regional Economics: Theory and Practice, #10, 2018

Subject This article determines the Human Development Index (HDI) sensitivity to various social, environmental and economic factors. It identifies critical states in which a given trajectory can actually still be achieved.
Objectives The article aims to form models to assess the quality of life of the population using the adjusted HDI calculated according to our original methodology for the regions of the RF Central Federal District and Tula Oblast. As well, the article intends to define the boundary values of the state and impact factors to follow the specified path.
Methods For the study, we used the principles and methods of systems, statistical, and regression analyses, as well as data convolution and forecasting.
Results The article presents formed linear and non-linear models to assess the quality of life of the population for the Central Federal District regions and Tula Oblast on the basis of statistics for 20042016. The article also shows the results of the comparative analysis of the models obtained and the boundary values of the state and impact factors for the Tula Oblast.
Conclusions and Relevance The models obtained can also be used for a particular region as a tool to shape specific regulations. The models for the Tula Oblast can be considered as a means to optimize management decisions.

Defining target segments for increase of innovation activity of enterprises of the agro-industrial complex of the region

Soboleva O.N. Vyatka State University, Kirov, Russian Federation ( )

Nogovitsyna O.S. Vyatka State University, Kirov, Russian Federation ( )

Journal: Regional Economics: Theory and Practice, #5, 2015

Importance Increasing competition in agricultural markets, low work force productivity and technical equipment of agricultural enterprises necessitate enhancing the level of innovation activity in the agro-industrial sector.
     Objectives The aim is to define the methods of stimulating the innovation activity for key target segments in the region's agro-industrial complex.
     Methods The article considers the methodological fundamentals of identifying target segments to enhance an innovation activity of agriculture enterprises in the region through the use of a software package for processing of statistical data - Minitab.16. We identify the main target segments to increase innovation activity of the agro-industrial complex in the Kirov region case. We also systematized methods and tools of the State regulation of innovation activity in the region for each target segment. The study identified major factors, which constrain agro-industrial enterprises' innovative activity, the most important of which include the risks of implementation of innovation capacity of enterprises, the State support for innovation implementation, employees' motivation to innovate, as well as time notion.
     Results On the basis of the review, we have identified two clusters (target segments), which significantly differ from each other. The first cluster consists of enterprises, which are especially sensitive to the State support measures. The second cluster includes companies, not sensitive to the State support and ready to innovate under favorable market conditions and in case of availability of financial resources.
     Conclusions and Relevance We came to a conclusion on the need to shift the focus on formation of favorable market conditions and the use of mainly indirect methods in regulating the agro-industrial enterprises innovation.

Analysis of financial sustainability of Russian cellular communication enterprises

Mitsel' A.A. Tomsk Polytechnic University, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russian Federation ( )

Soboleva M.A. ( )

Journal: Financial Analytics: Science and Experience, #6, 2015

Importance In order to make financial stability evaluation of enterprises, various approaches are used: the coefficient analysis, which uses the system of indicators; discriminant models, which distinguish bankrupt companies from financially stable borrowing entities and predict probable bankruptcy of a borrowing company; numerous unique evaluation techniques of probability of bankruptcy, which operate with a wide range of indicators. In this paper, to forecast a financial condition of companies, we offer using the vector Z-account auto regression model of Leith, which allows considering mutual influence of companies on their financial activity.
     Objectives The paper aims to define input information of mathematical model and to construct auto regression models for financial performance on the basis of which we calculate the Z-account of the Leith financial stability model for three cellular communication companies: OAO Mobile TeleSystems (MTS), OAO MegaFon (Megaphone) and OAO VimpelCom (Beeline). Another objective is to develop the auto regression model of Z-account of the Leith model and to make a forecast of financial stability of the cellular communication companies for the 4th quarter of 2014.
     Methods On the basis of balance sheet data, we calculate financial figures, which are included into the Leith model. For all indicators, we develop regression AR(1) models. On the basis of these models we develop the auto regression VAR(1) model of Leith Z-account to assess the financial stability of the enterprises.
     Results Within the framework of the research, we have solved the following tasks: using the balance sheets from 2003 to 2013 of the cell communication operators, which are presented in the Internet, we have developed the auto-regression VAR(1) model of the first order of Leith Z-account for financial stability evaluation. The analysis of the model showed that the model is stable. With the help of this model, we made the forecast of a resultant indicator of the Leith model for all companies to evaluate their financial state as of the end of 2014.
     Conclusions and Relevance According to the forecast for the 4th quarter of 2014, which was made under the obtained VAR(1) model, all companies have favorable prospects for financial stability, and are not exposed to bankruptcy risk.

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