- Issue
- Journal of Siberian Federal University. Humanities & Social Sciences. 2024 17 (3)
- Authors
- Novikova, Tatyana S.; Tsyplakov, Aleksandr A.
- Contact information
- Novikova, Tatyana S.: Institute of Economics and Industrial Engineering of SB RAS; Novosibirsk National Research State University; Novosibirsk National State Technical University Novosibirsk, Russian Federation; ; Tsyplakov, Aleksandr A.: Institute of Economics and Industrial Engineering of SB RAS; Novosibirsk National Research State University Novosibirsk, Russian Federation;
- Keywords
- public spatial policy; agent-based modeling; spatial functions of public welfare
- Abstract
Modern changes in public policy priorities have radically changed in accordance with the goals of sustainable development, reducing social inequality, and for Russia spatial differentiation in the levels of welfare in particular. To address this problem, we propose an extended agent-based model with interrelated spatial functions of social welfare. These functions formally take into account social inequality and complement the purely economic results. In the model used, the main decisions are made by spatially localized households and firms at the microeconomic level, but within the framework of policy instruments formed by the government at the macro- and meso-economic level. The volumes and structures of taxes, social and interbudgetary transfers are considered as instruments for optimizing the spatial social policy. Additional tools of structural analysis of the consequences at the national, regional and zonal levels are input-output tables. The approach was tested using the example of forecasting the Russian economy in the context of 614 agents, 3 enlarged regions, 6 industries within three scenarios: inertial, basic and optimistic. The results show the possibility of significant positive changes in the social inequality and well- being of various territorial entities
- Pages
- 607–620
- EDN
- UUXQVX
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/152714
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).