Registration Number
0224U003106,
(0122U000769)
, R & D reports
Title
Transfer of green innovations in Ukraine's energy sector: a multiplicative stochastic model of transition to a carbon-neutral economy
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Математична формалізація параметрів мультиплікативної стохастичної моделі трансферу енергоінновацій
Head
Matvieieva Yuliia A., Кандидат економічних наук
Registration Date
09-04-2024
Organization
Sumy State University
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The project aims to formalize the optimal conditions for cross-sectoral transfer of energy innovations based on the developed stochastic model, which will be the basis for forming a roadmap for optimizing the trajectory of transition to carbon-neutral development model
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The research summarizes the scientific and methodological approaches to the application of KTTGS. The author's KTTGSCM model for energy innovations was developed in the article. The model can be used to evaluate and analyze the process of knowledge and technology transfer in a green supply chain to increase efficiency and reduce environmental impact. The study is designed to improve the understanding of the KTTGSCM model and its application in the green supply chains management of the energy sector. Approaches are proposed to the evaluation of the effectiveness of transmitting energy innovations in the context of decarbonization, which is the primary goal of reducing the carbon footprint worldwide. The relationship between indicators reflecting the impact of energy innovations
on reducing greenhouse gas emissions and facilitating the transition towards a sustainable, less carbon-intensive energy future was revealed. Key indicators of economic decarbonization and identify the influence of energy innovation development on these indicators was examine. Through regression analysis, the scientific research reveals the correlation between energy innovation indicators and decarbonization. Additionally, the scientific research discusses the potential methods of decarbonization for various economic sectors and provides an analysis of primary indicators applied to assess the level of decarbonization. Correlation links between these indicators were demonstrated
Product Description
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Yelnikova Yuliia V.
Boiko Liliia S.
Brychko Maryna M.
Vakulenko Ihor А.
Matvieieva Yuliia A.
Medvid Svitlana A.
Pimonenko Tetiana V.
Pavlovskaya Oksana V.
Saher Liudmyla Yu.
Samusevych Yaryna V.
Tiutiunyk Inna V.
Shymoshenko Anastasiia О.
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2024-04-09
