Titre:	Analyzing diets’ contribution to greenhouse gas emissions in Brasilia, Brazil
Auteur(s):	Silva, Victor Alexsander Oliveira Contreras Pineda, Francisco Javier Ryu Koide Chen Liu
metadata.dc.identifier.orcid:	https://orcid.org/0000-0002-5237-4149 https://orcid.org/0000-0003-3666-2949 https://orcid.org/0000-0001-7857-8505 https://orcid.org/0000-0002-0180-7178
metadata.dc.contributor.affiliation:	University of Campinas, Center for Environmental Studies and Research University of Brasília, Department of Civil and Environmental Engineering, Graduate Program on Environmental Technology and Water Resources University of Brasília, Department of Civil and Environmental Engineering, Graduate Program on Environmental Technology and Water Resources Material Cycles Division, Global Resource Sustainability Research Section, National Institute for Environmental Studies, Tsukuba 305-8506, Japan Sustainable Consumption and Production Area, Institute for Global Environmental Strategies, Hayama 240-0115, Japan
Assunto::	Dietas Efeito estufa Pegada de carbono
Date de publication:	3-avr-2023
Editeur:	MDPI
Référence bibliographique:	SILVA, Victor et al. Analyzing diets’ contribution to greenhouse gas emissions in Brasilia, Brazil. Sustainability, [S. l.], v. 15, n. 7, 6174, 2023. DOI: https://doi.org/10.3390/su15076174. Disponível em: https://www.mdpi.com/2071-1050/15/7/6174. Acesso em: 31 jan. 2024.
Abstract:	Given the effort to reduce greenhouse gas (GHG) emissions, understanding the con sumption patterns that facilitate and support changes is essential. In this context, household food consumption constitutes a large part of society’s environmental impacts due to the production and solid waste generation stages. Hence, we focus on applying the Life Cycle Assessment to estimate Brasilia’s GHG emissions associated with household food consumption. We have used microdata from the Personal Food Consumption Analysis to address consumption patterns. The life cycle approach relies on the adaptations for Brasilia’s scenario of the inventories available in the databases of Ecoinvent 3.6 Cutoff and Agribalyse 3.0.1. Individuals’ GHG emissions results were classified according to sociodemographic groups and dietary patterns and analyzed through Analysis of Variance (ANOVA). The results indicate that household food consumption contributes 11,062.39 t CO2e daily, averaging 5.05 kg CO2e per capita. Meat consumption accounts for the largest share of emissions (55.27%), followed by beverages (18.78%) and cereals (7.29%). The ANOVA results indicate that individuals living in houses, individuals between 45 and 54 years old, and men have a higher carbon footprint. Therefore, future analyses for potential reduction should incorporate these target groups. Regarding dietary patterns, vegan individuals contribute 3.05 kg CO2e/day, 59.00% fewer emissions than omnivorous people. The no red meat, pescatarian, and vegetarian diets also imply lower food-related GHG emissions.
metadata.dc.description.unidade:	Faculdade de Tecnologia (FT) Departamento de Engenharia Civil e Ambiental (FT ENC)
metadata.dc.description.ppg:	Programa de Pós-Graduação em Tecnologia Ambiental e Recursos Hídricos
Licença::	Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)
DOI:	https://doi.org/10.3390/su15076174
Collection(s) :	Artigos publicados em periódicos e afins

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