Towards Greening the BRICS: Uncovering the Impact of Green Energy, Green Technology and Forest Cover on Environmental Quality

MakaleAçık ErişimScopus SJRQ1
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • SDG 13 · İklim Eylemi

Özet

The BRICS economies, facing the threat of climate change, face a policy challenge in transitioning from fossil-fuel-based energy systems and improving environmental quality. This necessitates urgent policy changes in the outdated energy infrastructure of BRICS countries. However, there still remains a policy gap regarding how countries in the BRICS, a group of rapidly developing economies, can grow their economies in line with the Sustainable Development Goals. The aim of our study is to investigate the impact of green energy, green technology, and forest cover on environmental quality in BRICS countries. The BRICS group of countries offers an ideal field of study for both examining the impacts of green energy, green technology, and forest areas on environmental quality in developing economies, as well as for evaluating national and global energy policies. Although numerous studies have empirically examined the relationship between environmental variables and green initiatives, the impact of green initiatives on the load capacity factor has been overlooked. These studies have generally used various econometric methods and have not included machine learning in the process. This study addresses this research gap by focusing on green energy and green technology, which are preferred for their various advantages and make significant contributions to the load capacity factor. To analyze this relationship in BRICS economies between 2000 and 2022, the Augmented Mean Group (AMG) estimator and Machine Learning algorithms were used. According to the results, strong evidence emerges of a positive relationship between green energy, the digital economy, forested area, and the load capacity factor, while a negative relationship exists between green technology, growth, and the load capacity factor. Based on robust empirical findings, renewable energy sources are a key driver of clean energy adoption and can ultimately increase the load capacity factor in BRICS economies. The results also imply that, since developments in green technological innovation in BRICS countries are still in their infancy, investments in green technologies for a sustainable environment need to be qualitatively increased.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/13526Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.3390/su18041937Yayıncı resmi DOI adresi
Atıflar
Scopus
3
WoS
3
OpenAlex
4
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorHenni, Mohamed Djafar
dc.contributor.authorAyaydın, Hasan
dc.contributor.authorAkbulut Yıldız, Gizem
dc.contributor.authorOrhan, Abdullah
dc.contributor.authorPilatin, Abdulmuttalip
dc.contributor.authorAbdelkader, Salim Bourchid
dc.date.accessioned2026-10-22T10:21:28.142641433Z
dc.date.available2026-10-22T10:21:28.142641433Z
dc.date.issued2026
dc.description.abstractThe BRICS economies, facing the threat of climate change, face a policy challenge in transitioning from fossil-fuel-based energy systems and improving environmental quality. This necessitates urgent policy changes in the outdated energy infrastructure of BRICS countries. However, there still remains a policy gap regarding how countries in the BRICS, a group of rapidly developing economies, can grow their economies in line with the Sustainable Development Goals. The aim of our study is to investigate the impact of green energy, green technology, and forest cover on environmental quality in BRICS countries. The BRICS group of countries offers an ideal field of study for both examining the impacts of green energy, green technology, and forest areas on environmental quality in developing economies, as well as for evaluating national and global energy policies. Although numerous studies have empirically examined the relationship between environmental variables and green initiatives, the impact of green initiatives on the load capacity factor has been overlooked. These studies have generally used various econometric methods and have not included machine learning in the process. This study addresses this research gap by focusing on green energy and green technology, which are preferred for their various advantages and make significant contributions to the load capacity factor. To analyze this relationship in BRICS economies between 2000 and 2022, the Augmented Mean Group (AMG) estimator and Machine Learning algorithms were used. According to the results, strong evidence emerges of a positive relationship between green energy, the digital economy, forested area, and the load capacity factor, while a negative relationship exists between green technology, growth, and the load capacity factor. Based on robust empirical findings, renewable energy sources are a key driver of clean energy adoption and can ultimately increase the load capacity factor in BRICS economies. The results also imply that, since developments in green technological innovation in BRICS countries are still in their infancy, investments in green technologies for a sustainable environment need to be qualitatively increased.
dc.description.sponsorshipDeanship of Scientific Research, King Khalid University, (RGP2/570/46)
dc.description.sponsorshipDeanship of Scientific Research, King Khalid University
dc.identifier.articlenumber1937
dc.identifier.doi10.3390/su18041937
dc.identifier.eissn2071-1050
dc.identifier.issn2071-1050
dc.identifier.issue4
dc.identifier.scopus2-s2.0-105031367975
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/13526
dc.identifier.volume18
dc.identifier.wosWOS:001701343100001
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofSustainability (Switzerland)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectenvironmental quality
dc.subjectforest area
dc.subjectgreen energy
dc.subjectgreen technology
dc.subjectmachine learning
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationEnvironmental Studies
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.otheralternative energy
dc.subject.othereconomic development
dc.subject.otherempirical analysis
dc.subject.otherenergy policy
dc.subject.otherenvironmental quality
dc.subject.otherforest cover
dc.subject.otherinnovation
dc.subject.otherinvestment
dc.subject.othermachine learning
dc.subject.otherqualitative analysis
dc.subject.othertechnological development
dc.titleTowards Greening the BRICS: Uncovering the Impact of Green Energy, Green Technology and Forest Cover on Environmental Quality
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex4
rdl.citation.scopus3
rdl.citation.wos3
rdl.oa.statusgold
rdl.oa.urlhttps://www.mdpi.com/2071-1050/18/4/1937/pdf?version=1770975066
rdl.scopus.quartileQ1
rdl.sdgSDG09
rdl.sdgSDG13
rdl.sdgSDG07
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)
rdl.wos.indexSocial Science Citation Index (SSCI)