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Sustainable meat consumption: A quantitative analysis of nutritional intake, greenhouse gas emissions and land use from a Swedish perspective

Hallström, Elinor LU ; Roos, E. and Börjesson, Pål LU (2014) In Food Policy 47. p.81-90
Abstract
Background: Food consumption is one of the most important drivers of environmental pressures. Adoption of healthy diets is suggested to be an option for less environmentally intensive food habits and improved public health. In particular, changes in meat consumption are believed to bring potential benefits. Objective: To quantify the impact of changes in meat consumption on the dietary contribution of nutrients, GHG emissions and on land requirement. Design: Scenario analysis is performed for three scenarios representing different variants of meat consumption in Sweden. The reference scenario is based on average Swedish meat consumption while NUTR-1 and NUTR-2 are hypothetical scenarios in line with prevailing dietary guidelines. The... (More)
Background: Food consumption is one of the most important drivers of environmental pressures. Adoption of healthy diets is suggested to be an option for less environmentally intensive food habits and improved public health. In particular, changes in meat consumption are believed to bring potential benefits. Objective: To quantify the impact of changes in meat consumption on the dietary contribution of nutrients, GHG emissions and on land requirement. Design: Scenario analysis is performed for three scenarios representing different variants of meat consumption in Sweden. The reference scenario is based on average Swedish meat consumption while NUTR-1 and NUTR-2 are hypothetical scenarios in line with prevailing dietary guidelines. The results are evaluated in relation to the recommended daily intake of nutrients, international climate goals and global capacity for sustainable expansion of agricultural land. Uncertainties and variations in data are captured by using Monte Carlo simulation. Results: Meat consumption in line with nutritional guidelines, implying an approximate 25% reduction of Swedish average intake, reduces the contribution of total and saturated fat by 59-76%, energy, iron and zinc by about half and protein by one quarter. Restrictions in meat consumption are most critical for the intake of iron and zinc, whereas positive effects on public health are expected due to the reduced intake of saturated fat. Aligning meat consumption with dietary guidelines reduces GHG emissions from meat production from 40% to approximately 15-25% of the long-term (2050) per capita budget of sustainable GHG emissions and the share of per capita available cropland from 50% to 20-30%. Conclusions: This quantitative analysis suggests that beneficial synergies, in terms of public health, GHG emissions and land use pressure, can be provided by reducing current Swedish meat consumption. (C) 2014 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Diet, Nutrition, Climate, Land use, Meat, Scenario analysis
in
Food Policy
volume
47
pages
81 - 90
publisher
Elsevier
external identifiers
  • wos:000339696300008
  • scopus:84901436192
ISSN
0306-9192
DOI
10.1016/j.foodpol.2014.04.002
language
English
LU publication?
yes
id
cedb6752-82ef-474e-874c-ddc81727d81a (old id 4665738)
date added to LUP
2016-04-01 13:27:52
date last changed
2022-04-21 21:47:16
@article{cedb6752-82ef-474e-874c-ddc81727d81a,
  abstract     = {{Background: Food consumption is one of the most important drivers of environmental pressures. Adoption of healthy diets is suggested to be an option for less environmentally intensive food habits and improved public health. In particular, changes in meat consumption are believed to bring potential benefits. Objective: To quantify the impact of changes in meat consumption on the dietary contribution of nutrients, GHG emissions and on land requirement. Design: Scenario analysis is performed for three scenarios representing different variants of meat consumption in Sweden. The reference scenario is based on average Swedish meat consumption while NUTR-1 and NUTR-2 are hypothetical scenarios in line with prevailing dietary guidelines. The results are evaluated in relation to the recommended daily intake of nutrients, international climate goals and global capacity for sustainable expansion of agricultural land. Uncertainties and variations in data are captured by using Monte Carlo simulation. Results: Meat consumption in line with nutritional guidelines, implying an approximate 25% reduction of Swedish average intake, reduces the contribution of total and saturated fat by 59-76%, energy, iron and zinc by about half and protein by one quarter. Restrictions in meat consumption are most critical for the intake of iron and zinc, whereas positive effects on public health are expected due to the reduced intake of saturated fat. Aligning meat consumption with dietary guidelines reduces GHG emissions from meat production from 40% to approximately 15-25% of the long-term (2050) per capita budget of sustainable GHG emissions and the share of per capita available cropland from 50% to 20-30%. Conclusions: This quantitative analysis suggests that beneficial synergies, in terms of public health, GHG emissions and land use pressure, can be provided by reducing current Swedish meat consumption. (C) 2014 Elsevier Ltd. All rights reserved.}},
  author       = {{Hallström, Elinor and Roos, E. and Börjesson, Pål}},
  issn         = {{0306-9192}},
  keywords     = {{Diet; Nutrition; Climate; Land use; Meat; Scenario analysis}},
  language     = {{eng}},
  pages        = {{81--90}},
  publisher    = {{Elsevier}},
  series       = {{Food Policy}},
  title        = {{Sustainable meat consumption: A quantitative analysis of nutritional intake, greenhouse gas emissions and land use from a Swedish perspective}},
  url          = {{http://dx.doi.org/10.1016/j.foodpol.2014.04.002}},
  doi          = {{10.1016/j.foodpol.2014.04.002}},
  volume       = {{47}},
  year         = {{2014}},
}