Diet-Related Greenhouse Gas Emissions in Brazilian State Capital Cities

Aguiar, Danilo Rolim Dias de; Costa, Gabriella Nunes da; Simões, Giovanna T. Camargo; Figueiredo, Adelson Martins

doi:10.1016/j.envsci.2021.07.028

Cited by 11 publications

(8 citation statements)

References 33 publications

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“…On the other hand, meat represents 11.32% of the total food consumed and contributes to 6,114.61 t of CO 2 e. This amount results in 55.27% of GHG emissions from household food consumption in the region. These results are aligned with previous research [27] that indicated meat consumption as the leading cause of food-related GHG emissions.…”

Section: Ghg Emissionssupporting

confidence: 92%

“…Another study investigated GHG emissions from the Mexican diet and identified sociodemographic groups with the highest carbon footprints [26]. In Brazil, research has mainly been using the 2008 s Brazilian Household Budget Survey (POF, from the Pesquisa de Orçamentos Familiares, in Portuguese) to estimate food habits and the resulting GHG emissions [27][28][29][30]. However, studies of food GHG emissions considering recent expenditure and consumption data are still scarce in Brazil.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Diets’ Contribution to Greenhouse Gas Emissions in Brasilia, Brazil

et al. 2023

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Given the effort to reduce greenhouse gas (GHG) emissions, understanding the consumption 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.

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Section: Ghg Emissionssupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Analyzing Diets’ Contribution to Greenhouse Gas Emissions in Brasilia, Brazil

et al. 2023

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“…We link dietary data from a large, nationally representative survey to LCA data to determine the mean GHGE associated with the Mexican diet. These findings are an important supplement to similar studies in other Latin American countries (6)(7)(8) that differ from Mexico in dietary patterns and population socio-demographics. We also examine GHGE of diet by individual-level socio-demographic characteristics.…”

Section: Introductionsupporting

confidence: 74%

Greenhouse Gas Emissions Associated With the Mexican Diet: Identifying Social Groups With the Largest Carbon Footprint

et al. 2022

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BackgroundMost studies of the climate footprint of diets have been conducted in countries in the global north, but the majority of the world population lives in global south countries. We estimated total dietary greenhouse gas emissions (GHGE) in Mexico, examined the contribution of major food and beverage groups, and assessed variation across social groups.MethodsWe linked individual-level dietary data from the Mexican National Health and Nutrition Survey 2018 to the SHARP Indicators Database, containing GHGE estimates for 182 primary food and beverages.ResultsMean dietary GHGE was 3.9 kg of carbon dioxide equivalent per person per day. Dietary GHGE is highest among those in young adulthood and middle age versus adolescents and older adults, and among males, those with higher educational attainment, higher socioeconomic status, that do not speak an indigenous language, and that live in urban areas.ConclusionThe Mexican diet has a much lower carbon footprint than diets in other Latin American countries for which such estimates are available. In contrast to patterns observed in Argentina and Brazil, dietary GHGE was lowest in those in lower socioeconomic and educational strata and in rural areas. A better understanding of the differences in diet sustainability between and within countries will be needed for developing global and local strategies that meet the environmental sustainability goals.

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“…The authors maintained that hastening the technological progress in agriculture is one of the most efficient ways to maintain domestic food security [17]. In addition, respondents on high-GHG diets had higher intake levels of saturated fats and sodium, as well as lower quality diets [18,19]. The per capita food carbon consumption of urban and rural residents showed a significant duality, while the food carbon consumption in rural areas converged with that in urban areas [20].…”

Section: Research On Environmental Effects Of Food Consumptionmentioning

confidence: 99%

Towards a Win-Win Solution for Dietary Health and Carbon Reduction—Evidence from the Yangtze River Delta in China

Wang

2023

Sustainability

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Considering the contradiction between the need to change the food consumption structure of Chinese residents and the constraints of resources and the environment, as well as the changes in the consumption structure of Chinese residents in the Yangtze River Delta, we explore the path to achieve environmental sustainability while maintaining residents’ dietary health. Based on 1995–2019 Yangtze River Delta food consumption data, this paper uses the two-stage Engel–QUAIDS model to conduct an empirical analysis of the food consumption and carbon emissions of urban and rural residents in the Yangtze River Delta and simulates the impact of income growth and food price changes on per capita food consumption carbon emissions and nutrient intake. The results show that the residents of the Yangtze River Delta consume too much meat and poultry, and the carbon emissions are high; the consumption of eggs and fruits is obviously insufficient, and the carbon emissions are low. With an increase in income, the increase in food carbon emissions among rural residents (0.406%) is greater than that among urban residents (0.247%); higher prices of meat, poultry, and aquatic products can significantly reduce food carbon emissions, and higher prices of fruits will promote food carbon emissions. The nutritional intake of residents can still be guaranteed under the low-carbon policy. It is worth mentioning that after the price adjustment simulation, residents’ fat intake will be significantly reduced within the recommended range, which is also beneficial to residents’ health. Therefore, appropriately regulating food prices and increasing people’s income would not only ensure nutritional health but also contribute to reducing carbon emissions and creating a sustainable agricultural food system.

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Diet-Related Greenhouse Gas Emissions in Brazilian State Capital Cities

Cited by 11 publications

References 33 publications

Analyzing Diets’ Contribution to Greenhouse Gas Emissions in Brasilia, Brazil

Analyzing Diets’ Contribution to Greenhouse Gas Emissions in Brasilia, Brazil

Greenhouse Gas Emissions Associated With the Mexican Diet: Identifying Social Groups With the Largest Carbon Footprint

Towards a Win-Win Solution for Dietary Health and Carbon Reduction—Evidence from the Yangtze River Delta in China

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