Using Open Data for Information Support of Simulation Model of the Russian Federation Spatial Development

Mashkova, Aleksandra; Savina, Olga A.; Banchuk, Yuriy A.; Mashkov, Evgeniy A.

doi:10.1007/978-3-030-13283-5_30

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…In this article w e presented m ethods and algorithm s o f sim ulating budget system in the agent-based m odel o f the Russian Federation spatial developm ent. Basis for research at this stage w ere previously m odeled population and organizations [14,16] and algo rithm s for their interaction [15,17]. As inform ation sources for the budget system reconstruction w e used T ax and B udget codes, federal laws and the official portal.…”

Section: Discussionmentioning

confidence: 99%

“…2014 was chosen as the base year, since then the federal input-output table was prepared, w hich contains crucial inform ation about interrelations in the real econom y. Issues of search and integration of the initial m odeling data are discussed in [15], reproduction o f population structure and econom ic interrelations -in [16]. T he budget system sim ulation considered in this article belongs to the second stage of the m ethodology, since it reflects the dynam ic aspect of tax and duties collection, paym ent of transfers to the population, financing of bud g et organizations and key sectors of the national econom y.…”

Section: Methodology Of Case Studymentioning

confidence: 99%

“…T he budget system sim ulation considered in this article belongs to the second stage of the m ethodology, since it reflects the dynam ic aspect of tax and duties collection, paym ent of transfers to the population, financing of bud g et organizations and key sectors of the national econom y. A lso at the second stage algorithm s of population dynam ics [14], behavior o f agents in the areas o f education, em ploym ent and m igration [17], activities o f com m ercial [15] and financial organizations are developed. To verify algorithm s on this stage, retrospective m odeling for the base 2014 is carried out.…”

Section: Methodology Of Case Studymentioning

confidence: 99%

“…T he agent approach im plies reproduction o f interactions o f m icro-level agents. In the paper [15] interactions o f a com m ercial organization w ith em ployees and counterpar ties are described. H ere w e consider interaction o f m odel objects that are associated w ith functions o f the budget system.…”

Section: Algorithms Of the Modelmentioning

confidence: 99%

“…In the generation m odule, initial m odeling data is transform ed to inform ation objects o f the m odel (agents, households, organizations, adm inistrative institutions). Results o f the generation procedure are stored in the m odel database [15], w hich is being changed during retrospective or scenario m odeling. Fig.…”

Section: Empirical Analysis Of the Casementioning

confidence: 99%

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Simulating Budget System in the Agent Model of the Russian Federation Spatial Development

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et al. 2020

Communications in Computer and Information Science

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In this paper we present methods, data and algorithms for simulating budget system in the model of the Russian Federation spatial development. We show the place of this task in methodology of our research and give a brief overview of the background results. Key objects of the budget system in the model are the federal budget, regional budgets and extra budgetary funds: pension, medical and social insurance. We determine revenues and expenditures of the budgets and funds on the basis of federal laws, Budget and Tax codes of the Russian Federation. Since the exact reproduction of excise rates and customs duties is problematic due to model aggregation, we calculate model rates of excises and duties for selected sectors on the basis of retrospective data pre sented on the budget system portal and in the federal input-output table. Structure of the budget expenses in the model was simplified by aggregating expenditure items into major groups correlated with sectors of the economy. Presented algorithm of the budget system simulates interaction of the federal, regional budgets and extra-budgetary funds with agents and organizations in the model. For validation of the budget system algorithms in the model we conduct retrospective modeling for the federal budget and the budget of Belgorod region in 2014.

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Section: Discussionmentioning

confidence: 99%

Section: Methodology Of Case Studymentioning

confidence: 99%