A three-dimensional case is considered on the basis of a method developed for estimating the parameters of the aggregated production function used to calculate dynamic standards and build integral indicators of the performances of the functioning of socio-economic systems. The aggregated production function is determined by the quadratic convolution of the production functions of the results of the functioning of the elements of the subsystem and their correlation matrix. The parameters of the aggregated production function are determined from solving the problem of maximizing the likelihood function of a random variable – the residuals of production functions aggregated according to a similar rule. On the example of a project subsystem within the framework of the Kleiner’s spatial-temporal classification of socio-economic systems we obtained adjusted values of the parameters of a function that includes power-law multiplicative models of the relationship between the volume of gross domestic product by region for sections F (construction), G (wholesale and retail trade), K (financial activity) according to NACE 2 and the cost of fixed assets (total for section K, for sections F and G), the average annual number of employees (for sections F and G) and the average annual population (for section K), based on data for 2015–2020 (sections G, K) and 2018–2020 (section F) for the regions of the Central Federal District. The EFRA software package and Python’s project were used as tools. The results obtained can be used by regional authorities in assessing the functioning of the regions and the formation of appropriate standards in the short term.
The development of regional socio-economic and ecological systems requires informed decisions. In this, decision-making authorities can be helped by models of such systems, which include three interrelated subsystems: social, environmental and economic, which may include subsystems of a lower level. The object of the study is hierarchical socio-ecological-economic systems (SEES) with homogeneous performance characteristics at all levels of management. The subject of the study is the characteristics of the processes of influence of factors on the results of the functioning of a hierarchical SEES in order to develop control actions that provide a given level of target indicators. The purpose of the study is to model the functioning of socio-ecological and economic systems based on a multi-level optimization approach under conditions of uncertainty, with the help of which it is possible to find changes in factors that allow improving the goal indicators of the SEES functioning. Based on the constructed models of the state and functioning of complex systems for the regions of the Central Federal District and the Tula Region using statistical data for 2007-2020, a multilevel optimization approach to the management of socio-economic systems was applied, proposals aimed at ensuring the sustainable development of the Tula region in the ecological subsystem were substantiated.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.