Modeling of the system of regional indicators of the development of a circular economy
DOI:
https://doi.org/10.5377/nexo.v36i04.16796Keywords:
sustainable development, circular economy, financing, linguo-combinatorial modeling, development indicatorsAbstract
The purpose of the article is to present a methodological approach to modeling the system of regional indicators in the context of the development of the closed-cycle economy. The employed research methods rely on the provisions of economic and statistical analysis, management theory, situational and adaptive approaches in management, system analysis, simulation modeling, the theory of finance and financial markets, and the theory of taxation. The authors emphasize the importance of accounting for such factors as finance, taxation, entrepreneurial infrastructure, and education for the successful implementation of closed-loop economy strategies at the regional level. The results of modeling the system of regional indicators clarify the estimated forecast of the consequences of the adopted managerial decisions in the financial and industrial policy for the introduction of technologies.
Downloads
377
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Universidad Nacional de Ingeniería
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors who publish in Nexo Scientific Journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of the first publication under the license Creative Commons Attribution License, which allows others to share the work with a recognition of the authorship of the work and the initial publication in Nexo Scientific Journal.
- Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, in an institutional repository or a book), with the recognition of the initial publication in Nexo Scientific Journal.
- Authors are allowed and encouraged to disseminate their works electronically (for example, in institutional repositories or in their own website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.