19 research outputs found
Modeling of Purchasing Managers. Index of the region and assessment of its influence on development parameters of Industrial Sectors of Economy (Example of Volga Federal District Regions.
The study of business activity at the regional level is an important scientific and methodological issue, the solution of which has not found a generally accepted approach to the present time. The search for methods aimed at identifying the impact of regional business activity on the development parameters of individual sectors of economy is an equally important issue, both in the scientific-cognitive and in practical terms. This article is devoted to solving these issues. The subject of study is the methods for determining and modeling the business activity of the region and assessing its impact on the development parameters of certain types of economic activity. The authors consider in detail such aspects of a topic as the identification of factors that form the development parameters of business activity of regional economic systems, the analysis of intraregional features that determine the change in the trajectories of business activity indices, expressing the change in the expectations of economic agents in a concentrated form. Particular attention is paid to the issues of economic and mathematical modeling of the impact level of cyclically generated trends in the business activity of the region on the development trajectory of certain types of industrial economy of the region.Within the framework of the constructed system of regional indices, we tested the concept of determining the level of their influence on the development parameters of certain industrial sectors of the economy of regional economic systems of the Volga Federal District.
An Empirical Assessment of the Impact of Blockchain Technologies on the Effectiveness of the Supply Chain Development
Abstract—The purpose of this paper is to review the existing literature on blockchain technology, present some trends and consider its potential value in supply chain management (SCM) of market. In modern economic conditions, the financial market integrated into the global economy is of fundamental importance for the development of the national economic system. In order to maintain and develop economy, the financial sector is constantly looking for ways to optimize its business processes and operations. Today, blockchain technology is considered by many participants in the financial market as a tool that forms the innovative potential of the industry providing a number of additional effects. It should be noted that despite the very high interest on the part of international and national financial institutions, enterprises of the real sector of the economy in the distributed data storage technology, studies on the problems of assessing the use of the potential of blockchain platforms in the socioeconomic environment, their theoretical understanding is not often demonstrated. Existing works, as a rule, reveal either the technical side of the object under study, or the regulatory or legal aspects of the applicability of blockchain technologies in the national economy. In this regard, this work attempts to overcome this conditional vacuum of understanding in order to make up for conditions with questions revealing other aspects of the subject of research, for example, such as the economic and social effects of introducing blockchain technologies into the activities of business entities. A formalized assessment of the development prospects of the banking sector in the new institutional economic environment is carried out on the basis of the assessment of the emerging effects caused by the integration of distributed data storage technologies into the system of operational processes in credit institution
Factor Analysis of the Influence of supply chain management on the Economic Dynamics of the Region
Abstract— The main goal of the study is to develop methodological approaches to a formalized assessment of the impact of supply chain management and its individual components on the development parameters of key macroeconomic indicators of a region (for example, investment in fixed assets). Testing the proposed research algorithms made it possible to substantiate a high level of reputation significance in the formation of regional economic growth. The implemented factor analysis provided an identification of the impact of the individual sub-indices under consideration, which form the integral value of the region’s supply chain management, on investment activation processes. The Republic of Tatarstan acts as an object of the study. The subject of the research is a methodological toolkit for conducting factor analysis and assessing the impact of the region's reputation on the parameters and dynamics of investment processes. A key feature of the study is the proposed version of constructing a series of regression equations, where the region’s supply chain management index is one of the exogenous parameters. The use of elimination methods has allowed the formation of a factor analysis focused on the impact of the individual components of the index under study on investment processes. On the basis of the developed methodology for the formalized assessment of the region’s supply chain management, the authors have built models that assess the level of influence of sub-indices that form the basis for an integrated assessment of the territory’s reputation on investment dynamics. It is advisable to use the developed methodological approaches when developing new models of economic growth under conditions of increased importance and the role of intangible production factors. According to the results of the study, the influence of each of the sub-indices under consideration on the dynamics of investment in fixed assets of the region was established, which made it possible to justify and formulate measures of state influence on the corresponding functional directions of the regional socio-economic system
Market Integration Assessment a Block Chain of Technologies in Regional Economic Systems in Comparison to the Global Supply Chain Management (On the Example of Regions of the Volga Federal District)
The article discloses methodological approaches to quantifying the level of penetration of block chain technologies into the regional socio-economic environment in comparison to the supply chain strategies. Based on the methods of mathematical and statistical analysis, it allows you to formalize and convert a large array of data of a qualitative order into a single scale for measuring the process under study - the level of demand in the regional socio-economic environment for block chain technology. The developed methodology is based on the theory of reputational economics, which allows, based on a system analysis of the global information space, to identify the level of demand for the research object in regional markets. Based on the collected and processed array of information and statistical data, the work carried out estimates of the index of reputation capital in the field of block chain technologies in the regions of the Volga Federal District for the period from 2010 to 2018. Based on the presented calculation data, a scientifically-based conclusion was obtained, according to which the regional “block chain†processes are beginning to take over the regional space of Russia more and more every year. Moreover, undoubtedly, as well as for any other phenomenon, this process is very differentiated in terms of penetration into the regional environment. In accordance with the estimates obtained, the regions with the highest level of demand for block chain technology and the outsider regions were identified. The implemented algorithm for the formalized assessment of the penetration of distributed data storage technologies into the regional environment creates the basis for a comparative analysis of the development efficiency of regions, determining their current and future competitiveness in the context of globalization and digitalization of reproduction processes
Methodological Approaches to the Diagnosis and Forecast of the Long-Wave Fluctuations in the Economy
Evolutionary development of economic systems demonstrates the cyclical nature in time. In such a case these cyclical fluctuations comprise all facets of economic relations, starting from the production sector and ending the sphere of services, focused on ensuring the interaction effectiveness of economic relations. As the modern world experience shows the cyclical dynamics has a number of its individual features depending on a wide range of factors, such as the type of economic system (planned or market), market type, forms and methods of state or other effects on the regulation of cycles within smoothing process, etc. The knowledge of these factors, the nature of their origin and the impact on the long-term cyclical fluctuations is not a trivial matter and requires a comprehensive system analysis, based on a synthesis and a dialectic of the established approaches.
Keywords: long-term cycles, phase shifts, advanced development cycles, technological modes.
JEL Classifications: С10, C53, E37, F17, O1
Assessing the Impact of Supply Chain Financing Using Blockchain Technology on Credit Risks in the Banking Sector of the Russian Federation
Abstract—Traditional supply chains rely on banks to support the related financing activities and services. With the emergence of blockchain technology, more and more companies in different industries have considered using it to support supply chain finance. Despite the very high interest from international and national financial institutions, and also enterprises from the real sector of the economy demonstrated in the distributed data storage technology, studies on the problems of assessing the use of the supply chain platform potential in the socioeconomic environment, and their theoretical understanding can be met vary rarely. As a rule, existing works reveal either the technical side of the object of study, or the regulatory or legal aspects of the applicability of supply chain technologies in the national economy. This paper attempts to overcome this conditional vacuum of understanding in order to make up for conditions with questions revealing other aspects of the subject of research, for example, such as the economic and social effects of introducing blockchain technologies into the activities of business entities. The banking sector of the national economy of the Russian Federation was chosen as the object of research. The research subject is the relationship built between participants in the financial market on the basis of supply chain technologies and the resulting effects expressed in the potential to reduce the credit risks of banks due to non-fulfilment, untimely or incomplete fulfilment of financial obligations by debtors. In the course of the study, the main directions that reduce the risks under consideration as a result of minimizing opportunistic models of behavior are substantiated and possible economic effects for the Russian banking system as a result of the use of blockchain technologies are identified. The opportunities for supply chain finance offered by possible applications of blockchain technologies in the supply chain and the capacity of this technology to deal with the existing barriers and pain points. The most important result of the work is the developed algorithm for determining the parameters for reducing the credit risk capital for as a result of the penetration of supply chain technologies into the banking environment
Methodological Approaches of Scenario Modeling and Forecasting of Development of Agricultural Sector of the Russian Economy under Conditions of Foreign Policy and Conjunctural Changes (with the Republic of Tatarstan as an example)
The subject of the research includes peculiarities and regularities of the reaction of the agricultural sector of the Russian economy on the changing conditions of the economic management formed by the pressure of sanctions on the national economy. The object of the research includes the agricultural sector of the Russian economy (with the Republic of Tatarstan as an example). The authors particularly consider such aspects as the dependence between the dynamics of the production level of agricultural products of the Republic of Tatarstan on the dynamics of the index related to the economic activity of the region. On this basis the forecasting model of the development of agriculture in the Republic of Tatarstan is developed taking into account various scenarios of sanctions pressure on the national economy of the Russian Federation. Special attention is paid to the issues related to the analysis of the development of the agricultural sector of the republic economy in the short-term perspective in order to define its perspective competitiveness and stability of development.
Keywords: regional agricultural sector, expectations of economic agents, economic activity, sanctions pressure, scenario modeling of the agriculture development.
JEL Classifications: F42; F47; Q13; Q14; Q17; Q1
Modelling of expectations of economic agents and their influence on dynamics of industrial growth
The article exhibits a well ordered evaluation calculation for the desires of financial specialists in a concentrated frame that is an outflow of business movement deciding the flow of social and monetary development. We advocated that the way toward distinguishing the desires ought to be founded on a far reaching evaluation of components portrayed by the propelled progression in respect to general monetary patterns and speaking to a declaration of institutional and artful changes. Depending on this approach, we made an endeavor in this work to build up a well ordered demonstrating calculation for the desires of monetary operators, the recommendation of which was reflected in their quantitative appraisal, connected to the Russian economy for the time of 1996-2015. The usage of this phase of the investigation made it conceivable to survey, utilizing the financial and numerical examination techniques, the level of impact of the business action record on the modern advancement parameters of the Russian monetary framework. This, thusly, decided the strategy for creating situations for the advancement of the mechanical segment of the national economy for the medium term (until 2020), considering the programming of basic segments deciding the desires of monetary operators.It is built up that high rates of mechanical improvement adding to defeating the auxiliary issues in the economy can be shaped for the most part on account of execution of the institutional changes framing a steady reason for the age of positive, stable assumptions in regards to the change of the present request framing the systems of macroeconomic movements
Modeling of purchasing managers' index of the region and assessment of its influence on parameters of development of industrial sectors of economy (on the example of regions of the volga federal district)
The investigation of business movement at the territorial level is a critical logical and methodological issue, the arrangement of which has not discovered a for the most part acknowledged way to deal with the present time. The look for strategies went for recognizing the effect of local business action on the improvement parameters of individual segments of economy is a similarly critical issue, both in the logical intellectual and in down to earth terms. This article is dedicated to settling these issues. The subject of study is the strategies for deciding and displaying the business movement of the district and evaluating its effect on the improvement parameters of specific sorts of financial action. The creators consider in detail such parts of a theme as the recognizable proof of variables that frame the improvement parameters of business action of local monetary frameworks, the examination of intraregional highlights that decide the adjustment in the directions of business action records, communicating the adjustment in the desires of financial specialists in a concentrated shape. Specific consideration is paid to the issues of monetary and numerical demonstrating of the effect level of consistently produced inclines in the business action of the area on the advancement direction of specific sorts of mechanical economy of the locale.Within the framework of the constructed system of regional indices, we tested the concept of determining the level of their influence on the development parameters of certain industrial sectors of the economy of regional economic systems of the Volga Federal District.