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Life cycle environmental impacts of food away from home and mitigation strategies-a review

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 265, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2020.110471

Keywords

Food away from home; Life cycle assessment; Diet change; Restaurant; Green nudging; Uncertainty quantification

Funding

  1. Environmental Protection Agency under the Source Reduction Assistance grant program
  2. Villanova Sustainable Engineering program
  3. US National Science Foundation [CBET- 1639342]

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Food production and consumption are major drivers of global environmental change, endangering the safe operating space of many environmental areas. Globally, there has been a growing trend of dining out, termed food away from home (FAFH) here, but its environmental sustainability has received insufficient attention. In this review, we examine studies quantifying the life-cycle environmental impacts of FAFH and identify mitigation strategies across the food supply chain. Overall, previous life cycle assessment (LCA) studies focused on the composition of FAFH meals and pre-use life cycle stages, especially food production. Greenhouse gas (GHG) emissions of FAFH meals range from 0.134 kg CO2 e/meal to 13.2 kg CO2 e/meal for school canteen meals, and from 0.60 kg CO2 e/meal to 9.6 kg CO2 e/meal for other catering services. Meat ingredients are the dominant source in a variety of environmental impact categories, and the food production stage usually accounts for over half of the total GHG emissions in the FAFH life cycle. Supply side mitigation strategies include advancing farming practices, updating cold transportation technology, and improving building energy efficiency. Demand side mitigation focuses on dietary change towards meals with less meat ingredients, with nudging and sustainable menu-designing as the two primary groups of strategies. Areas of focus for LCA include improving modeling of building energy consumption related to food consumption, advancing uncertainty characterization of life cycle results, and capturing geographical variations in food production.

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