| Issue |
E3S Web of Conf.
Volume 558, 2024
4th International Conference on Sustainable, Circular Management and Environmental Engineering (ISCMEE 2024)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202455801006 | |
| Published online | 02 August 2024 | |
Econometric modelling of recycling indicators of circular economy in the context of sustainable development
1 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Department of Economic Cybernetics, 37, Prosp. Beresteiskyi, Kyiv, 03056, Ukraine
2 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Department of Management of Enterprises, 37, Prosp. Beresteiskyi, Kyiv, 03056, Ukraine
* Corresponding author: o.o.trofymenko@gmail.com
The study is devoted to the econometric modelling of indicators of the circular economy with a focus on its recycling component in the context of sustainable development. Various methods and approaches to the formation of econometric models of environmental impacts of transition to a circular economy have been investigated. A number of sets of indicators relevant to a circular economy were also analysed. Based on the analysis, the indicators for modelling were selected. The system of formed differential equations describes changes in economic development, consumption of recyclable materials, waste recycling, conservation of natural resources and environmental indicators over time. Using the curve_fit function from the scipy.optimise library of the Python programming language made it possible to determine the parameters of the system of differential equations. Based on the obtained simulation values, there were built curves of change rates for each variable using the matplotlib library. The results of calculations for Germany show stable and predictable trends in the growth of economic development and consumption of recyclable materials, as well as a possible decrease in their recycling and environmental efficiency in the medium term.
© 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.
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