Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Impact of carbon emissions factors on economic agents based on decisions modeling in complex systems

Nikolay Didenko
ORCID logo ,
Djamilia Skripnuk
,
Sergey Barykin
* ORCID logo ,
Vladimir Yadykin
ORCID logo ,
Oksana Nikiforova
,
Angela B. Mottaeva
,
Valentina Kashintseva
,
Mark Khaikin
,
Elmira Nazarova
,
Ivan Moshkin
Version 1 : Received: 4 April 2024 / Approved: 5 April 2024 / Online: 5 April 2024 (06:16:25 CEST)

How to cite: Didenko, N.; Skripnuk, D.; Barykin, S.; Yadykin, V.; Nikiforova, O.; Mottaeva, A.B.; Kashintseva, V.; Khaikin, M.; Nazarova, E.; Moshkin, I. Impact of carbon emissions factors on economic agents based on decisions modeling in complex systems. Preprints 2024, 2024040403. https://doi.org/10.20944/preprints202404.0403.v1 Didenko, N.; Skripnuk, D.; Barykin, S.; Yadykin, V.; Nikiforova, O.; Mottaeva, A.B.; Kashintseva, V.; Khaikin, M.; Nazarova, E.; Moshkin, I. Impact of carbon emissions factors on economic agents based on decisions modeling in complex systems. Preprints 2024, 2024040403. https://doi.org/10.20944/preprints202404.0403.v1

Abstract

The article presents a methodology for modeling the impact of factors of both on-farm activity and environmental factors on the resulting indicators of an international company. The dataset includes the company's profit, revenue, valuation, share price, and market share from 2012 through 2022. This empirical period is optimal for such a type of modeling. Modeling the impact of carbon emissions factors on the resulting indicators is considered based on complex systems theory. Endogenous model variables include indicators of the development of the international company. Predefined model variables reflect the influence of both the external environment and internal factors on the development indicators of an international company. An approach of picture fuzzy rough sets based on time series of endogenous and exogenous variables can provide an opportunity to analyze and consider the consequences of feedback changes in the systems of which they are a part. Based on the results of the analysis of the model construction, it is concluded that picture fuzzy rough sets can be an excellent way to model interdependent social processes.

Keywords

Impact; On-farm; Environment; Innovative Economy; Picture Fuzzy Rough Sets

Subject

Social Sciences, Decision Sciences

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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