Development of robotic circular reproduction in ensuring sustainable economic growth
Economic Annals-ХХI: Volume 186, Issue 11-12, Pages: 12-20
Citation information:
Kolmykova, T., Merzlyakova, E., & Kilimova, L. (2020). Development of robotic circular reproduction in ensuring sustainable economic growth. Economic Annals-XXI, 186(11-12), 12-20. doi: https://doi.org/10.21003/ea.V186-02
Tatyana Kolmykova
D.Sc. (Economics),
Professor, Head,
Department of Finance and Credit,
Faculty of Economics and Management,
Southwest State University
94, 50 Let Oktyabrya Str., Kursk, 305040, Russian Federation
t_kolmykova@mail.ru
ORCID ID: https://orcid.org/0000-0002-5633-4283
Ekaterina Merzlyakova
PhD (Economics),
Associate Professor,
Department of Finance and Credit,
Faculty of Economics and Management,
Southwest State University
94, 50 Let Oktyabrya Str., Kursk, 305040, Russian Federation
ek_mer@mail.ru
ORCID ID: https://orcid.org/0000-0003-0571-7687
Lyudmila Kilimova
PhD (Philosophy Sciences),
Associate Professor, Head,
Department of Philosophy and Sociology,
Faculty of Economics and Management,
Southwest State University,
94, 50 Let Oktyabrya Str., Kursk, 305040, Russian Federation
lyuda-klv@yandex.ru
ORCID ID: http://orcid.org/0000-0002-7305-9682
Development of robotic circular reproduction in ensuring sustainable economic growth
Abstract. To confront global challenges in the field of environmental security, humanity needs reproduction chains of a new type that correspond to the models of the green economy and the principles of sustainable development. The most relevant concept that meets these conditions is a circular economy. A new round of industrial development provides additional opportunities to introduce principles of circular reproduction. The proliferation of robots and the introduction of artificial intelligence systems will facilitate the implementation of circular innovations. The purpose of the paper is a study of current trends in the transformation of global value chains based on the symbiosis of virtual and physical production systems which form new operating models and contribute to sustainable economic growth. The research methodology includes general scientific methods of cognition, systemic and situational approaches, methods of structural and functional analysis, empirical generalization and comparison, as well as tabular and graphical methods of visualization of statistical and calculated data. The main results of the study are to gain new knowledge about the role of interaction between digital and physical spaces in ensuring the achievement of goals of sustainable development and the implementation of principles of circular reproduction. Studying robotic circular reproduction will increase the relevance of the concepts of a green economy and circular reproduction, which will promote effective implementation of the above concepts in the Russian Federation.
Keywords: Circular Economy; Industry 4.0; Digital Economy; Digital Technologies; Robotization; Artificial Intelligence; Circular Business Models; Sustainable Development
JEL Classification: O14; O15; O30; O33
Acknowledgements and Funding: The authors received no direct funding for this research.
Contribution: Each author contributed equally to the research.
DOI: https://doi.org/10.21003/ea.V186-02
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Received 11.08.2020
Received in revised form 23.10.2020
Accepted 30.10.2020
Available online 28.12.2020