employee from 01.01.2014 to 01.01.2025
Balakovo, Saratov, Russian Federation
In the context of the current comprehensive transformation of public institutions, studying factors determining citizens’ quality of life has acquired paramount importance. Effective management in this sphere at the national level requires mandatory consideration of the significant regional specifics of social and economic systems. It should be noted that the scientific community has yet to establish a unified methodological framework for a comprehensive assessment and dynamic modelling of the integral characteristics of the population’s quality of life at the subnational level. This paper proposes a formalized toolkit for solving this problem, based on the principles of system dynamics. The core of the development is a complex of interconnected differential equations, possessing properties of nonlinearity, nonstationarity, spatial heterogeneity, and varying speeds of the described processes. The study provides a detailed description of the model structure, defines the areas for its parametric adaptation and stable functionality, and presents a verification protocol for compliance with realworld processes. To solve the obtained system of equations, the author applies the Runge–Kutta–Merson algorithm, ensuring control over the accuracy of computations; uses the developed mathematical software for simulation modelling of the dynamics of key indicators of the population’s quality of life in the Saratov Region. The results of the computational experiment are analyzed, allowing for the acquisition of forecasted indicator values for the period from 2025 to 2030.
forecasting, region, quality of life, mathematical model, numerical method, system dynamics, Python programming language
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