Abstract
Objective: This article presents a methodology to assess the balanced functioning of socio-economic systems (SES), focusing on Russia's Central Federal District regions. The aim is to develop a framework for evaluating SES balance, identifying potential imbalances, and understanding their causes. Methods: The methodology involves constructing models to analyze the relationship between Gross Domestic Product (GDP) and influencing factors in these regions, using data from two time periods (2007-2020 and 2007-2018) to track changes in model parameters. The study introduces the "coefficient of harmony" as an indicator for assessing subsystem balance within SES. Statistical analysis, including correlation coefficients, is used to identify subsystem relationships. Results: The analysis uncovers changes in model parameters, signaling shifts in regional economies. Relative coefficient changes reveal variations in influencing factors across sectors like manufacturing and real estate. Assessing balanced functioning highlights declining environmental subsystem balance in several regions, with causes like reduced real estate investment pinpointed. Statistically significant connections between subsystems shed light on their interactions and potential impact on overall system balance. Conclusion: This methodology is a valuable tool for evaluating SES balance, identifying areas of concern, and understanding imbalance drivers. It provides practical insights for regional development and policymaking. Addressing environmental subsystem imbalances and enhancing subsystem interactions are crucial for improving overall system efficiency and balance. This versatile methodology can be applied across government levels and to analyze processes with ecological and social implications.
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