This study examines the sustainability trajectories of the BRICS economies (Brazil, Russia, India, China, and South Africa) focusing on the interplay between economic growth, social equity, and environmental sustainability from 2000 to 2022. Using a multidimensional framework, the analysis employs key indicators across three sustainability pillars: social (income inequality and access to basic services), economic (GDP growth and employment rates), and environmental (CO₂ emissions and ecological footprint). This temporal assessment reveals distinct patterns of progress and challenges among BRICS countries, with rapid economic expansion often accompanied by persistent social disparities and increasing environmental degradation. The findings highlight significant variations in how each nation balances these dimensions, reflecting diverse policy approaches and structural conditions. The study emphasizes the complex trade-offs involved in pursuing sustainable development and underscores the need for integrated strategies to align economic objectives with social and environmental responsibilities. These insights contribute to the broader dialogue on sustainability in emerging economies and provide a critical perspective on the BRICS bloc’s capacity to drive global sustainable development goals.
University of Genoa, Italy
University of Genoa, Italy - ORCID: 0009-0008-3614-6315
University of Genoa, Italy - ORCID: 0000-0003-1862-4746
IULM University of Milan, Italy - ORCID: 0000-0001-6687-9378
Politecnico di Milano, Italy - ORCID: 0000-0001-8709-3710
Titolo del capitolo
Assessing long-term sustainability trends in BRICS economies: A composite indicator approach
Autori
Martina De Anna, Tommaso Filì, Enrico Musso, Enrico Ivaldi, Tiziano Pavanini
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.34
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series