A Study on Green Economy Indicators and Modeling: Russian Context

This article aims to assess and forecast the dynamics of a regional green economy. The research relevance is determined by the need to develop theoretical and methodological basis of the green economy for the transition period and to identify criteria basis for assessing the state and regional level of it. The authors applied the modern methods, which allowed to model criteria considering data uncertainty and both static and dynamic criteria. The research process involved the methods of scientific analysis, comparison and synthesis, the theory of fuzzy sets, and fuzzy modeling. The main principles and methodology of the criteria evaluation for a regional green economy are proposed. The principal methodological approach in this research combines the current state and dynamics of the green economy in evaluating and forecasting the conditions of data uncertainty. The research results form a theoretical, methodological, and practical basis for assessing the current state and level of a regional green economy development, determining the effectiveness of environmental and economic programs, optimizing financial management, conducting environmental monitoring, and developing state plans.The research was funded by the grant of the Ministry of Education and Science of the Russian Federation to Perm National Research Polytechnic University # 26.6884.2017/8.9 "Sustainable development of urban areas and the improvement of the human environment.

A Study on Green Economy Indicators and Modeling: Russian Context

This article aims to assess and forecast the dynamics of a regional green economy. The research relevance is determined by the need to develop theoretical and methodological basis of the green economy for the transition period and to identify criteria basis for assessing the state and regional level of it. The authors applied the modern methods, which allowed to model criteria considering data uncertainty and both static and dynamic criteria. The research process involved the methods of scientific analysis, comparison and synthesis, the theory of fuzzy sets, and fuzzy modeling. The main principles and methodology of the criteria evaluation for a regional green economy are proposed. The principal methodological approach in this research combines the current state and dynamics of the green economy in evaluating and forecasting the conditions of data uncertainty. The research results form a theoretical, methodological, and practical basis for assessing the current state and level of a regional green economy development, determining the effectiveness of environmental and economic programs, optimizing financial management, conducting environmental monitoring, and developing state plans.The research was funded by the grant of the Ministry of Education and Science of the Russian Federation to Perm National Research Polytechnic University # 26.6884.2017/8.9 "Sustainable development of urban areas and the improvement of the human environment.

Сучасні методи аналізу при оцінці та прогнозуванні зайнятості у малому підприємництві регіонів

The features of the use of modern methods of cluster analysis, mathematical statistics, economic and mathematical modeling methods in assessing employment in small business were studied. The methodical approach to the assessment of employment in small business based on scientifically-based analysis of its provisions, socio-economic status of the region and forecasting social and labor issues were worked out. The information base of research capacity, objectivity and similarity in measurement were defined. Проблеми формування та реалізації регіональної політики зайнятості населення через сприяння розвитку малого підприємництва заслуговують на особливу увагу та дослідження. Саме через це метою даної статті є визначення основних методичних підходів щодо оцінки стану та тенденцій зайнятості у сфері малого підприємництва на регіональному рівні. У статті досліджуються особливості використання сучасних методів кластерного аналізу, математичної статистики, економіко-математичного моделювання та прогнозування при оцінці зайнятості у малому підприємництві. Розроблено методичний підхід до оцінки стану зайнятості населення у сфері малого підприємництва на основі науково обґрунтованого аналізу його положення, соціально-економічного стану регіону та прогнозування соціально-трудової сфери. Визначено інформаційну базу дослідження за об’ємом, об’єктивністю та схожістю виміру. Запропонована методика може бути використана при аналізі ступеню ефективності використання трудових ресурсів регіонів, для виявлення зв’язків рівня офіційної зайнятості у сфері малого підприємництва з тими факторами, під впливом яких вона формується, обґрунтування пріоритетних заходів програми сприяння зайнятості населення, розробки механізмів взаємодії між органами виконавчої та законодавчої влади регіонів

Principles of forming a modern accounting and analytical model of commercial organization in digital economy

Purpose: The article presents basic methodological approaches to the creation of a new model of forming and functioning of the accounting and analytical system to meet the information needs of internal and external stakeholders of organizations. Design/Approach/Methodology: Substantiation of the principles of building a system for accounting and analytical information management that meets current conditions for the business functioning using modern hardware and software. Findings: The developed model of cascade functioning of organization’s information support system optimizes the structure and content of accounting and analytical modules, contributes to the effective implementation of management functions, timely control and rapid response to the impact of negative factors. Practical implications: The principles of information flow management system constructing formulated in the article contribute to optimization of expenses for organization of accounting and analytical functions, improvement of quality of financial and non-financial reporting, realistic assessment and forecasting of business efficiency. Originality/Value: The proposed new model for constructing an accounting and analytical information base allows to improve the procedures of collection, processing, storage and disclosure of financial and non-financial information, to create a balanced structure of the database on the basis of cascade digitization of primary and derived data.peer-reviewe

Scenario of the organic food market in Europe

Scenario analysis is a qualitative tool for strategic policy analysis that enables researchers and policymakers to support decision making, and a systemic analysis of the main determinants of a business or sector. In this study, a scenario analysis is developed regarding the future development of the market of organic food products in Europe. The scenario follows a participatory approach, exploiting potential interactions among the relevant driving forces, as selected by experts. Network analysis is used to identify the roles of driving forces in the different scenarios, and the results are discussed in comparison with the main findings from existing scenarios on the future development of the organic sector

Disintegration and Coordination of Forecast Parameters of Socio-Economic Development and the Fuel and Energy Balance of the Region

The scope of strategic planning documents for the constituent entities of the Russian Federation, the procedure for their development and coordination on interregional and federal levels, the requirements for their content and conjunction with other long- and medium-term territorial programs are now approved by statute. The article presents the theoretical and methodological problems of detailing and interrelation of the region’s socio-economic development scenarios with the forecast parameters of regional energy consumption based on the fuel and energy balance under conditions of incomplete retrospective information. This situation is typical of the market environment, and some restrictions on access to statistical data are irremovable. This fact reduces the opportunity to apply formal and rigorous evaluation methods and the objectivity level of not only the forecast indicators, but also of the current ones. The coordination of these documents is methodologically and practically relevant due to the relative isolation of their formation process, a different level of detailing of the forecast scenarios, and a lack of the required information. The author uses the energy saving and energy efficiency measurement technique that is based on the structural comparison of performance, current and estimated fuel and energy balances, consistent with the region’s socio-economic development forecast. The author is also concerned with the development of this technique for the purpose of a comparative regional energy consumption analysis in retrospective and predictive periods. Since 2007, the author has been involved in practical calculations within the framework of the state order of the Ministry of Energy, Housing and Utilities of the Sverdlovsk Region. The article describes methodological characteristics of the author’s approaches to the development of variants of the fuel and energy balance, taking into account maintaining the official scenarios of socio-economic development of the region, the errors and the incompleteness of statistical data, and the regulatory requirements pertaining to the quality of forecasts

Managing stimulation of regional innovation subjects’ interaction in the digital economy

The reported study was funded by RFBR according to the research project No. 18-01000204_a, No. 16-07-00031_a, No. 18-07-00975_a.Purpose: The article is devoted to solving fundamental scientific problems in the scope of the development of forecasting modeling methods and evaluation of regional company’s innovative development parameters, synthesizing new methods of big data processing and intelligent analysis, as well as methods of knowledge eliciting and forecasting the dynamics of regional innovation developments through benchmarking. Design/Methodology/Approach: For regional economic development, it is required to identify the mechanisms that contribute to (or impede) the innovative economic development of the regions. The synergetic approach to management is based on the fact that there are multiple paths of IS development (scenarios with different probabilities), although it is necessary to reach the required attractor by meeting the management goals. Findings: The present research is focused on obtainment of new knowledge in creating a technique of multi-agent search, collection and processing of data on company’s innovative development indicators, models and methods of intelligent analysis of the collected data. Practical Implications: The author developed recommendations before starting the process of institutional changes in a specific regional innovation system. The article formulates recommendations on the implementation of institutional changes in the region taking into account the sociocultural characteristics of the region’s population. Originality/Value: It is the first time, when a complex of models and methods is based on the use of a convergent model of large data volumes processing is presented.peer-reviewe

Development of a Methodology for the Economic Assessment of Managerial Decisions as a Factor of Increased Economic Security

The article notes that the emergence of such a phenomenon as the interdependence of security and development, the so-called security-development nexus, becomes a determinant during the development of strategic documents at all hierarchical levels. It gives relevance to the search for methodological solutions that would on a strategic level take into account any potential threats to economic security, and on a tactical level provide for pragmatic actions that are not in conflict with the strategic development vector of business entities. The authors identify the instability factors that pose a real threat to economic security. They substantiate the expediency of forming a new model of the national economy development with a focal point on new industrialization. The article factors in the most important trends in the development of the global economy that determine the strategic vector of enhancing the economic security in Russia. It is ascertained that in the conditions of new industrialization, the intellectual core of the high-tech economy sector is formed by convergent technologies (NBICS technologies). The authors offer a methodological approach to the economic assessment of managerial decisions in the context of uncertainty. They also identify methodological principles that must be taken into account in developing a modern methodology for the economic assessment of business decisions. The principles include forming a preferred reality, or the so-called “vision of the future,” the priority of network solutions as the basis for the formation of new markets; mass customization and individualization of demands, principal changes in the profile of competences that ensure competitiveness on the labor market, use of the ideology of inclusive development and impact investment that creates common values. The proposed methodology is based on the optimum combination of traditional methods used for the economic assessment of managerial decisions with the method of real options and reflexive assessments with regard to entropy as a measure of uncertainty. The proposed methodological approach has been tested in respect of the Ural mining and metallurgical complex.The article has been prepared with the support of the grant from the Russian Foundation for Basic Research № 16–06–00403 "Modelling the Motivational Potentials of the Multi-subject Industrial Policy in the Context of New Industrialization"

Planning the forest transport systems based on the principles of sustainable development of territories

The article identifies a new method of dynamic modeling in the design of the transport system in the forest fund (TSFF), which is based on economic and mathematical modeling and fuzzy logic tools. The combination of the indicated methods is designed to reduce the disadvantages of their use and increase the benefits. The article substantiates the choice of assessing the forecast level of the impact of risks on the activities of forestry enterprises (the method of expert assessments), using the methodological tools of fuzzy logic. The indicated method makes it possible to take into account a large variety of risk factors of the internal and external environment. At the same time, methodological aspects of fuzzy logic make it possible to formulate a quantitative assessment of qualitative indicators. The article substantiates the choice of tools for economic and mathematical modeling in order to state the design problem of the planned TSFF. Since the indicated method enables the formalization of the functioning of the timber transport system in the given conditions. The article presents a developed model that correctly takes into account the influence of risk factors when planning a TSFF, through the combination of fuzzy logic methods and economic and mathematical modeling. The advantages of the developed model include: considering the multivariance of material flows, vehicles, points of overload, etc.; automated processing of input parameters and effective data; using the model for forecasting, i.e. the possibility of deriving a fuzzy estimate of the efficiency of the timber transport system by identifying cause-effect relationships between the modeling object and the influence of risk factors on its functioning. © 2019 IOP Publishing Ltd