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Accounting logistics (Analytical presentation of accounting)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: International Accounting, #14, 2014

The article presents a formal analytical model of accounting logistics. Abstract basis is the vector space model which is the system of accounts forms a basis. The author describes the structure of funds in the organization accounts by the system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems organization. The author proves that analogues models and methodology of accounting logistics are not in literature.


Accounting logistics (analytical presentation of accounting) (end of article)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: Financial Analytics: Science and Experience, #14, 2014

The article considers formal analytical model of accounting logistics. Abstract basis is the vector space model. The system of accounts forms is a basis of the vector space. The author describes the structure of funds in the accounts of the organization by the system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems organization. Analogues models and methodology of accounting logistics are not found in literature.


Accounting logistics (analytical presentation of accounting) (to be continued)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: Financial Analytics: Science and Experience, #13, 2014

The article presents a formal analytical model of accounting logistics. Abstract basis is the vector space model which is the system of accounts forms a basis. The author describes the structure of funds in the organization accounts by the system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems organization. The author proves that analogues models and methodology of accounting logistics are not in literature.


Accounting logistics (analytical presentation of accounting)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Lipetsk region, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: International Accounting, #15, 2014

The article considers a formal analytical model of accounting logistics. The abstract basis of it is a vector space model, the background of which is formed by the system of accounts. The author describes a structure of funds in the accounts of an organization with a system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems by an organization. Any analogues of the model and methodology of accounting logistics have not been detected in publications.


Methods and models of financial support to enterprises subject to investment risks

Abdikeev N.M. Doctor of Technical Sciences, Professor, Deputy Pro-Rector for Scientific and Innovative Development, the Financial University under the Government of the Russian Federation ( n_abd@mail.ru )

Grineva N.V. PhD in Economic Sciences, Associate Professor, the Department of Modeling of Economic and Information Systems, the Financial University under the Government of the Russian Federation ( n_grineva@list.ru )

Kuznetsov N.V. PhD of Technical Sciences, Chief of the Department of Innovative Development, the Financial University under the Government of the Russian Federation ( n_v_kuznetsov@hotmail.com )

Journal: Financial Analytics: Science and Experience, #23, 2013

In the article risks of innovative projects are investigated and the special feature of data of risks and their classification is given. Special positions occupy the risks of the results of intellectual activity for their subsequent commercialization. It is proposed the model of the estimation of the effectiveness of investments in the innovative projects. It includes the estimation of the values of the basic indices of risk in the initial stage of the fulfillment of project and in the dynamics.


A Neural Network Analysis of the Fixed Capital Investment Trends in Regions of the Russian Federation

Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( Kuznetsov_YuA@iee.unn.ru )

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Lastochkina E.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( mmep@iee.unn.ru )

Journal: Digest Finance, #3, 2017

Importance The article considers the changes in and characteristics of the investment activities and behavior of the Russian Federation regions.
Objectives The article aims to analyze and describe the trends and characteristics of fixed capital investment behavior of the Russian Federation regions to ensure the economic growth and socio-economic development of the country and regions.
Methods We examine the regions' investment activities for the period from 2012 through 2014 using the neural modeling methodology on the basis of thirteen indicators characterizing the investment activities of the regions and defining their socio-economic development prospects. We also apply the Self Organizing Map using the STATISTICA software. Data of the Federal State Statistics Service of Russia on fixed investment by type of economic activity in the regions underlie our study.
Results The paper shows certain characteristics and peculiarities of the investment performance and behavior of the Russian Federation regions.
Conclusions and Relevance The cluster analysis of the Russian Federation regions' investment activities shows their uneven nature. The findings indicate the need for comprehensive measures to help change the structure of the investments involved and stimulate investment activity in all regions of the Russian Federation.


A neural network analysis of the fixed capital investment behavior of regions of the Russian Federation

Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( Kuznetsov_YuA@iee.unn.ru )

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Lastochkina E.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( mmep@iee.unn.ru )

Journal: Regional Economics: Theory and Practice, #7, 2017

Subject The article considers the changes in and characteristics of the investment activities and behavior of the Russian Federation regions.
Objectives The article aims to analyze and describe the trends and characteristics of fixed capital investment behavior of the Russian Federation regions to ensure the economic growth and socio-economic development of the country and regions.
Methods We examine the regions' investment activities for the period from 2012 through 2014 using the neural modeling methodology on the basis of thirteen indicators characterizing the investment activities of the regions and defining their socio-economic development prospects. We also apply the Self Organizing Map using the STATISTICA software. Data of the Federal State Statistics Service of Russia on fixed investment by type of economic activity in the regions is the basis of our study.
Results The paper shows certain characteristics and peculiarities of the investment performance and behavior of the Russian Federation regions.
Conclusions The cluster analysis of the Russian Federation regions' investment activities shows their uneven nature. The results obtained indicate the need for comprehensive measures to help change the structure of the investments involved and stimulate investment activity in all regions of the Russian Federation.


Iterative approach to calculating the cross-industry production volumes and developing an alternative concept of the national economy

Kuznetsov S.A. Tula State University (TulSU), Tula, Russian Federation ( kca.kuznetsov@yandex.ru )

Tikhobaev V.M. Institute of Jurisprudence and Management of All-Russian Police Association, Tula, Russian Federation ( matrix.balance@mail.ru )

Journal: Economic Analysis: Theory and Practice, #6, 2019

Subject The article addresses methods for calculating the volume of production on the basis of iterative approach, taking into account the restrictions on resource (of natural genesis) products, and an algorithm for formulating the concept of public socially-oriented economics under initial price uncertainty.
Objectives The aim of the study is to build a model of the public socially-oriented economics, which guarantees the functioning of all sectors of financial and business operations.
Methods The paper uses elements of linear algebra (operations with matrices and vectors, nontrivial solution of systems of linear algebraic equations), a set of methods and principles of scientific research and complex logical analysis, and modeling of product and financial flows.
Results We present a methodology for calculating the volume of production on the basis of iterative approach, taking into account the restrictions on natural resources. We also present an algorithm of the structure of socially-oriented economy, which guarantees the full functioning of all sectors of financial and economic activity. Pricing principles rest on the use of technological parameters of production and the establishment of State control and management. The built conceptual model shows the possibility to implement an alternative approach to the national economy organization.
Conclusions The proposed methodology is of practical importance not only for the Russian economy. It can be used in other countries with different technological modes.


Pricing products based on a resource and technological model: Evidence from Chile

Kuznetsov S.A. Tula State University (TulSU), Tula, Russian Federation ( kca.kuznetsov@yandex.ru )

Fedorishcheva T.A. Tula State University (TulSU), Tula, Russian Federation ( t-fedorishcheva@mail.ru )

Journal: Economic Analysis: Theory and Practice, #6, 2019

Subject The article deals with the methodology development for calculating the prices of products based on the technologies used and the resources required for reproduction in a closed macroeconomic production system.
Objectives The aim is to create a methodological basis enabling to calculate optimal prices for products in conditions of public socially-oriented economics. The prices rest on the needs of the population and resource dependence underpinned by technological development of the system.
Methods We apply methods of linear algebra, in particular, vector elements and matrix analysis, as well as general scientific methods of research, and modeling techniques.
Results We developed a mathematical model to calculate prices for products on the basis of resources consumption and in accordance with adopted technologies. Using the methodology, we built a resource and technological model and calculated product prices for the Republic of Chile. We also built a technological system, consisting of a limited number of necessary products, resources for their reproduction, and the so-called national products, which are mainly produced and historically common in the selected region. The paper presents resource and technological chains for each selected product, a resource and technological matrix that rests on the chains, and calculation of prices.
Conclusions In the proposed model, prices are calculated on the basis of fixed value of remuneration, which satisfies basic needs of a human being, and resources for product reproduction required by modern technologies. The methodology is of practical importance for pricing in macro systems.


Social and economic development of the Syrian Arab Republic during the pre-crisis period: A retrospective analysis

Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( Kuznetsov_YuA@iee.unn.ru )

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Waddah Al Jarad. c National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( waddah.ja@gmail.com )

Journal: Economic Analysis: Theory and Practice, #7, 2017

Subject The article reviews the specifics of economic development of the Syrian Arab Republic during the pre-crisis period.
Objectives The purpose of the study is to analyze and describe trends in the economic development of the Syrian Arab Republic to define its actual economic situation during the pre-crisis period and prospects for economic advancement and social progress of the entire country and its certain provinces subject to peaceful development.
Methods We employ neural simulation based on indicators characterizing the economic condition of the country as a whole and its certain provinces. The research tools include self-organizing maps based on Deductor analytical platform.
Results The paper reveals major trends in GDP, focuses on economic restructuring of the Syrian Arab Republic. Based on five indicators of economic activity of provinces in the private sector, we performed a cluster analysis of their development. It shows that in 2007–2010, fourteen provinces were divided into three groups (clusters). We describe the composition and characteristics of each cluster, show changes in indicators of province development by clusters. The forecast for 2011–2017 is quite optimistic as long as peace is maintained.
Conclusions and Relevance The revealed specific features of socio-economic status of the Syrian Arab Republic before 2011 are indicative of unrealized opportunities for the country's economy since then.


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