The paper discusses development of the investments block in an agent-based interregional multisector model of the Russian economy. The ability of the model to reproduce stationary states of the economy and economic growth under various regimes of intra-company fixed capital investment is considered. A given steady state can be achieved by choosing the shares of profits assigned to investment. Output growth was insured by reducing labor intensity by 2 % per year in the Leontief-type production functions of firms with a fixed level of labor resources. When investments are financed from the profits of firms under fixed share regime, the model economy demonstrate a balanced growth.
In: Far Eastern affairs: a Russian journal on China, Japan and Asia-Pacific Region ; a quarterly publication of the Institute for Far Eastern Studies, Russian Academy of Sciences, Band 37, Heft 1, S. 72-90
In: Far Eastern affairs: a Russian journal on China, Japan and Asia-Pacific Region ; a quarterly publication of the Institute for Far Eastern Studies, Russian Academy of Sciences, Band 31, Heft 3, S. 65-77
In: Žurnal Sibirskogo Federal'nogo Universiteta: Journal of Siberian Federal University. Gumanitarnye nauki = Humanities & social sciences, Band 14, Heft 12, S. 1910-1919
The paper describes the current state of agent-based modeling of geographical space and spatial economic systems. We explore reasons why this approach to modeling spatial phenomena is of particular interest. Agent-based models (ABMs) allow accounting for agents' spatial heterogeneity, the existing structure of the space, locality of interactions between agents. A survey of approaches to introducing space into the models and examples of the existing spatial models is presented. There is a great variety of spatial ABMs, but they relate predominantly to the local and city level, rather than to the economy as a whole. Spatial ABMs at the level of large regions and countries are not yet sufficiently developed, but have good prospects in the future. With increasing availability of geodata and technological development in general the number of applications and coverage of spatial ABM will grow
The significant progress observed in the field of artificial economy opens up new possibilities for modeling economic growth. Agent-based models (ABM) allow leaving the concept of a representative agent in the past and linking investment decisions of economic agents at the micro level with long-term macroeconomic growth. Modern ABMs offer new algorithms for modeling expectations, agent interaction, technical progress, pricing, and production planning. Our article analyzes the current state of modeling investment in fixed assets in operating macroeconomic ABMs. The subject of the review is the families of models Eurace, CATS, KS, Jamel, Lagom. The authors also present the investment block of the agent-based multiregional input-output model (ABMIOM) being developed. Comparative analysis demonstrates that modern ABMs, as a rule, implement the principle of stock-flow consistency. Modeling the investment process requires detailing the commodity nomenclature, so that the initially adopted two-sector division into investment and consumer goods is replaced by more detailed structures, which gives rise to the problem of accounting for inter-sectoral relations in production and consumption. The Leontief production function copes with this problem, which is confirmed by its widespread use in ABM. The size of firms' investments is often derived from the need to expand capacity in accordance with the current production plan, so that planning turns out to be myopic, and long-term aspects in ABM are still largely unrealized. Nevertheless, already now ABMs reproduce many phenomena associated with the economic cycle. The developed ABMIOM provides horizontal consistency of cash flows between agents and analysis of results using input-output tables. ABMIOM represents a step forward in reflecting intersectoral and interregional flows. The model reproduces the growth and contraction of the economy as a result of independent investment decisions of individual firms and households, which is reflected in the sectoral and spatial structure of the economy. Further development of ABMIOM is associated with the modeling of savings, intrafirm finance, money market, innovation and technical progress.
The subject of this article is the concept of the Church in the context of the contemporary Russian religious situation and the understanding of the concept by the Russian philosophical ecclesiology. The current religious situation could be described as post-secular. The Church, which survived two waves of secularization in Russia, retained its social subjectivity. The description of the Church as a conglomerate of believers does not correspond with the self-understanding of the Church in Christian thought. The article reveals the ontological self-understanding of the Church in the works of S.L. Frank, A.S. Homjakov, Russian theologians. The mystical reality of the Church could be combined with the empirical expression of it as a social institution. V.S. Soloviev considered the Church as a part of his theocratic utopia. In it he reduced the Church to a simple political social force. And at present, communities of Christians are expected to be embedded in a certain social functional. Meanwhile, arch-presbyter Nicolas Afanasiev pointed to eschatological reality: to the Church as an eschatological subject, as to the City of God (according to St. Augustine) only dwelling in the city of the earth. It forms the social Church ontology on the basis of the Church and society interaction. The social subjectivity of the Church is implicitly present in the framework of social activity in interaction with secular society. The concept of social subjectivity helps to reveal in the social analysis the essence of the dualistic nature of the Church. As an eschatological subject, it is the Body of Christ and at the head of it is the Christ. Therefore, the Church is a divine-human unity. But in the temporal order of things, in the secular aspect, the Church appears as an organization that performs certain social functions, or as one of the parts of the social institution of religion. The article points out the risk of institutionalization for the Church in which it may lose the social dimension of its subjectivity, which does not correspond to the mystical self-consciousness. The risk is that the Church will fulfill the requests of society but will not be able to reveal its main function of being the "the pillar and ground of the truth" (1 Tim. 3:15). The article summarizes that in modern Russian society the Church must have its own social subjectivity in order to pass this point of choice and create a working model of interaction with society, including secular society. The subjectivity of the Church is one of the conditions for its sustainable existence in modern Russia.
The paper describes the further development of an agent-based multiregional input-output model of the Russian economy. We consider the idea of incorporating the government into the model and analyse the results of experimental calculations for the conditional example of spatial economy. New agents are included into the model such as the federal and regional governments, pension fund and also the state enterprises producing public goods at the federal and regional levels. The government sets four types of taxes (personal and business income taxes, VAT and payroll taxes), ensures the provision of public goods and provides social, investment and interbudgetary transfers to households, firms and budgets. Social transfers consist of social assistance and unemployment benefits. The utility functions of households are expanded by the terms associated with national and regional public goods. The budget policy is designed in accordance with the maximization of isoelastic function of social welfare that formalizes the choice between the different concepts of social justice. The Gini index is used for the monitoring the inequality of income distribution. The results of experimental calculations present the convergence of the new version of the model to the state of quasi-equilibrium. The special attention is paid an optimal level of the taxation maximizing the social welfare function. Four variants of the optimal tax rates are defined: for three major taxes at a fixed proportion of rates and for each of the tax separately at zero rates of two other taxes. The further directions of modelling are identified, they allow to investigate the spatial development of the Russian economy taking into account the decision-making by private agents in responding to government policies. ; Проанализировано развитие агент-ориентированной многорегиональной модели "затраты - выпуск" российской экономики. Представлены результаты экспериментальных расчетов по изучению сходимости модели к состоянию квазиравновесия. Особое внимание уделено поиску оптимального уровня налогообложения, при котором максимизируется функция общественного благосостояния. Определены оптимальные налоговые ставки. ; The article is prepared within the Program of the Russian Academy of Sciences IX.84.2., Project IX.84.2.1. The authors thank for Ibragimov N.M. and Gusak M.A., who took part in the preparation of initial information, the discussion of the model and the code writing of a code.
The article reveals the problems which may arise in the development of multi-agent information systems for modeling regional economy (MASMRE) based on geographic information and agent-based approaches to modeling economic space as well as to studying and forecasting the specifics of emerging spatial systems and the ways these systems may occur. MASMRE proposes an organizational system and open source tools to implement modern digital technologies and also an agent-based approach to modeling the regional economy, which helps to sustain innovative momentum for scientific and scientific-technical interaction, conduct joint research in remote access by providing accessible services, modules and algorithms, and allows the local governments, businesses and non-profit organizations to plan and monitor various projects implemented in a particular territory.