Missing food, missing data? A critical review of global food losses and food waste data
Open accessAbstract
Food losses and food waste (FLW) have become a global concern in recent years and emerge as a priority in the global and national political agenda (e.g., with Target 12.3 in the new United Nations Sustainable Development Goals). A good understanding of the availability and quality of global FLW data is a prerequisite for tracking progress on reduction targets, analyzing environmental impacts, and exploring mitigation strategies for FLW. There has been a growing body of literature on FLW quantification in the past years; however, significant challenges remain, such as data inconsistency and a narrow temporal, geographical, and food supply chain coverage. In this paper, we examined 202 publications which reported FLW data for 84 countries and 52 individual years from 1933 to 2014. We found that most existing publications are conducted for a few industrialized countries (e.g., the United Kingdom and the United States), and over half of them are based only on secondary data, which signals high uncertainties in the existing global FLW database. Despite these uncertainties, existing data indicate that per-capita food waste in the household increases with an increase of per-capita GDP. We believe that more consistent, in-depth, and primary-data-based studies, especially for emerging economies, are badly needed to better inform relevant policy on FLW reduction and environmental impacts mitigation.
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Consumers may report higher intentions to reduce food waste because of response bias due to social desirability.
“consumers may report higher intentions to reduce food waste because of response bias due to social desirability.”
From "The road to food waste is paved with good intentions": When consumers' goals inhibit the minimization of household food waste (2019) · cites this paper as Xue et al., 2017
In the discussion of food-loss and food-waste measurement methods (page not provided), the paper says survey respondents may give socially desirable answers, biasing waste estimates. It does not address reported intentions to reduce food waste or say those intentions are reported as higher. (LLM, conf=0.85)
Experimental — accuracy not yet measuredExisting studies' spatial coverage is quite limited, with a strong focus on the developed world.
“They find that existing studies' spatial coverage is quite limited, with a strong focus on the developed world (e.g., Kling [20], Harrington et al. [21], Engström and Carlsson-Kanyama [22], Williams et al. [23], Leal Filho and Kovaleva [24]).”
From A Worldwide Hotspot Analysis on Food Loss and Waste, Associated Greenhouse Gas Emissions, and Protein Losses (2020) · cites this paper as [19]
Over half of publications are based only on secondary data.
“Over half of publications are based only on secondary data ( signalling high uncertainties in the existing global FLW database).”
From Review: Consumption-stage food waste reduction interventions – What works and how to design better interventions (2019) · cites this paper as Xue et al. (2017)
Most existing publications are conducted for a few industrialized countries (e.g., UK, USA).
“Most existing publications are conducted for a few industrialized countries (e.g.,UK, USA).”
From Review: Consumption-stage food waste reduction interventions – What works and how to design better interventions (2019) · cites this paper as Xue et al. (2017)
Existing data indicate that per-capita food waste in the household increases with an increase of per-capita GDP.
“With these uncertainties, existing data indicate that per-capita food waste in the household increases with an increase of per- capita GDP.”
From Review: Consumption-stage food waste reduction interventions – What works and how to design better interventions (2019) · cites this paper as Xue et al. (2017)
Currently, both packaging and future developments in material technology have a huge potential to minimize FLW and to contribute to food safety and security.
“Currently, both packaging and future developments in material technology have a huge potential to minimize FLW [15,17] and to contribute to food safety and security [45].”
From Packaging-Related Food Losses and Waste: An Overview of Drivers and Issues (2019) · cites this paper as [15]
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BackgroundFood waste digestion : anaerobic digestion of food waste for a circular economy
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- Authors
- Xue, L., Liu, G., Parfitt, J., Liu, X., Van Herpen, E., Stenmarck, Å., O’Connor, C., Östergren, K., & Cheng, S.
- Affiliations
- Chinese Academy of Sciences (CN)
- University of Southern Denmark (DK)
- Anthesis Group, Oxford OX4 1RE, United Kingdom
- Marketing and Consumer Behavior Group, Wageningen University, Wageningen 6708 PB, The Netherlands
- IVL Swedish Environmental Research Institute (SE)
- World Resources Institute (US)
- RISE Research Institutes of Sweden (SE)
- Corresponding author
- Liu, Gang
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-05-26
- Volume
- 51
- Issue
- 12
- Pages
- 6618-6633
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2613091778
- Cited by
- 690
- References
- 129
- Citations by year
- 2026: 54 · 2025: 92 · 2024: 99 · 2023: 109 · 2022: 92 · 2021: 81 · 2020: 68 · 2019: 64 · 2018: 25 · 2017: 6
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- Environmental Science & Technology (publishedVersion)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (submittedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Ministry of Science and Technology of the People's Republic of China (2016YFE0113100)
- Styrelsen for Forskning og Innovation (5132-00029B, 6144-00036)
- National Natural Science Foundation of China (71233007)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Waste Reduction and Sustainability
- Physical Sciences › Environmental Science › Ecology › Agriculture Sustainability and Environmental Impact
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Food Security and Socioeconomic Dynamics
- Keywords
- food loss and waste, data quality, data inconsistency, household food waste, emerging markets, food supply chain, Sustainable Development Goal 12.3, food waste reduction policy, environmental impact of food waste
- MeSH terms
- Data Accuracy, Conservation of Natural Resources, Food, Food Supply, Geography, United Kingdom, Humans
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