Competitive Intelligence in Renewable Energy Systems: A Strategic Framework for Achieving Sustainable Development Goal 7

Viacheslav Makedon; Mykola Politykin; Svyatoslav Hromyak; Iryna Novosad; Iryna Doronina

doi:10.37497/eagleSustainable.v16i.654

Autores

Viacheslav Makedon Oles Honchar Dnipro National University, Dnipro, Ukraine https://orcid.org/0000-0001-8131-0235
Mykola Politykin Educational and Scientific Institute of Atomic and Thermal Energy, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine https://orcid.org/0009-0005-5065-6205
Svyatoslav Hromyak Lviv National Stepan Gzhytsky University of Veterinary Medicine and Biotechnology, Lviv, Ukraine https://orcid.org/0009-0003-5066-0621
Iryna Novosad Lesya Ukrainka Volyn National University, Lutsk, Ukraine https://orcid.org/0000-0003-1202-028X
Iryna Doronina Technical University of Munich, Munich, Germany https://orcid.org/0000-0002-7032-644X

DOI:

https://doi.org/10.37497/eagleSustainable.v16i.654

Palavras-chave:

Fontes de energia renovável, Eficiência energética, Sustentabilidade ambiental, Segurança energética, Energia limpa, Transição para energia verde

Resumo

Objetivo: Desenvolver e validar um quadro de inteligência competitiva que transforme dados sobre energias renováveis em ferramentas de tomada de decisão estratégica para alcançar o Objetivo de Desenvolvimento Sustentável 7 e criar uma vantagem competitiva sustentável.

Metodologia/abordagem: O estudo segue o ciclo completo de inteligência competitiva e aplica análise estatística, análise de conteúdo e modelação econométrica (regressão linear) a dados secundários. Foram calculados coeficientes de elasticidade e de correlação.

Originalidade/Relevância: A investigação apresenta um novo modelo conceptual de inteligência competitiva que liga os dados brutos sobre energias renováveis diretamente a inteligência acionável, integrando redes inteligentes, normas de sincronização e IA como ferramentas estratégicas.

Principais resultados: As energias renováveis reduzem significativamente as emissões de CO₂ e estimulam o crescimento do PIB, com elasticidades diferenciadas por fonte (energia hidroelétrica: 3,3758; energia solar: 0,2431). As principais barreiras continuam a ser os elevados custos de investimento, os défices de infraestruturas e as restrições regulamentares.

Contribuições teóricas/metodológicas: O estudo propõe um quadro de IC replicável e recomendações baseadas em evidências para a priorização de políticas e investimentos, promovendo a integração da Inteligência Competitiva na transição para a energia sustentável.

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Biografia do Autor

Viacheslav Makedon, Oles Honchar Dnipro National University, Dnipro, Ukraine

Doctor of Economics Sciences, Professor of Department of International Economics and World Finance, Oles Honchar Dnipro National University, Dnipro, Ukraine.

Mykola Politykin , Educational and Scientific Institute of Atomic and Thermal Energy, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

PhD Student, Department of Thermal and Alternative Energy, Educational and Scientific Institute of Atomic and Thermal Energy, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine.

Svyatoslav Hromyak, Lviv National Stepan Gzhytsky University of Veterinary Medicine and Biotechnology, Lviv, Ukraine

Doctoral Candidate, PhD, Associate Professor, Department of Business and Trade, Lviv National Stepan Gzhytsky University of Veterinary Medicine and Biotechnology, Lviv, Ukraine.

Iryna Novosad, Lesya Ukrainka Volyn National University, Lutsk, Ukraine

PhD in Law, Associate Professor, Associate Professor of the Department of Constitutional, Administrative and International Law, Lesya Ukrainka Volyn National University, Lutsk, Ukraine.

Iryna Doronina, Technical University of Munich, Munich, Germany

Dr., Philipp-Schwartz Fellow, Guest Professor, Chair of Energy Systems, Department of Energy and Process Engineering, Technical University of Munich, Munich, Germany.

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