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A Delphi–Fuzzy Delphi Study on SDGs 9 and 12 after COVID-19: Case Study in Brazil.

Authors :
Sousa, Isabela Caroline de
Sigahi, Tiago F. A. C.
Rampasso, Izabela Simon
Moraes, Gustavo Hermínio Salati Marcondes de
Leal Filho, Walter
Eustachio, João Henrique Paulino Pires
Anholon, Rosley
Source :
Forecasting; Sep2024, Vol. 6 Issue 3, p550-567, 18p
Publication Year :
2024

Abstract

The COVID-19 pandemic has affected all Sustainable Development Goals (SDGs), leading to setbacks in various Latin American countries. In Brazil, progress in technological development and the adoption of sustainable practices by organizations has been significantly hindered. Yet, there remains a limited understanding of the long-term impacts on the country's development, and a structured national plan for recovery and resuming progress toward the SDGs is lacking. This paper aims to investigate the repercussions of COVID-19 on SDGs 9 (industry, innovation, and infrastructure) and 12 (sustainable consumption and production) in the context of a latecomer country such as Brazil. This study adopted the Delphi-based scenario and Fuzzy Delphi approach and involved the participation of 15 sustainability experts with extensive experience in the Brazilian industrial sector. The findings elucidate the long-term impacts of the pandemic on these SDGs, focusing on Brazil's socioeconomic landscape and developmental challenges. The pandemic worsened pre-existing issues, hindering infrastructure modernization, technological investment, and sustainable practices. Insufficient research funding, industry modernization, and small business integration further impede progress. Additionally, the paper identifies implications for research, companies, and public policies, aiming to provide actionable insights for fostering sustainable development in the post-pandemic era. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25719394
Volume :
6
Issue :
3
Database :
Complementary Index
Journal :
Forecasting
Publication Type :
Academic Journal
Accession number :
180020280
Full Text :
https://doi.org/10.3390/forecast6030030