| Issue |
E3S Web Conf.
Volume 474, 2024
X International Annual Conference “Industrial Technologies and Engineering” (ICITE 2023)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 8 | |
| Section | Agricultural Sciences and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202447403002 | |
| Published online | 08 January 2024 | |
Ecosystems of smart territories: cartographic and economic analysis tools
1 Ural Institute of Management - a branch of the RANEPA, Ekaterinburg, Russia
2 Department of Economics of the Tyumen Region, Tyumen, Russia
* Corresponding author: Chelak@mail.ru
In economics, the ecosystem approach becomes the main method of analysing large communities. In this paper, the object of research is the ecosystem of a smart territory (smart ecosystem, i-ecosystem). The subject of the study is economic relations based on the analysis of the results of mapping the ecosystem of a smart territory. We single out economic analysis as the main tool of ecosystem management. The synthesis of mapping the ecosystem of a smart territory and various methods of its analysis allows us to identify key growth points and promising directions of ecosystem dynamics. The problem of the study is the lack of systematization of the directions of ecosystem economic analysis. The purpose of the study is to systematize the directions of economic analysis based on the results of mapping the ecosystem of a smart territory. Logical and systematic methods of research allowed to conduct a content analysis of scientific papers. The research algorithm includes a review of previous studies, formulation of the research problem, systematization of the directions of economic analysis of the ecosystem of a smart territory. The methodological foundation of the research is represented by the system concept, the paradigm of sustainable development, and the ESG approach. The result of the work was a table on the directions of economic analysis of the ecosystem of the smart territory.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.