4.7 Article

Household Food Waste Quantification and Cross-Examining the Official Figures: A Study on Household Wheat Bread Waste in Shiraz, Iran

Journal

FOODS
Volume 11, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/foods11091188

Keywords

food loss and waste; food waste accounting and data; food waste index; sustainability; sustainable production and consumption; food waste quantification; global data

Funding

  1. Food Security Center, University of Hohenheim in Stuttgart, Germany, within the DAAD program EXCEED
  2. German Federal Ministry for Economic Cooperation and Development (BMZ) [DAAD 57160040]
  3. Foundation fiat panis, Ulm, Germany

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This study aimed to quantify wheat bread waste in Shiraz, Iran and examine the reliability of official data. Through face-to-face questionnaire interviews and document review, the results showed substantial contradictions in the official data, highlighting the need for policymakers to conduct more measurements and re-evaluate the accuracy of existing data.
The global consumer food waste (FW) estimates are mainly based on modeling data obtained from governments. However, a major data gap exists in FW at the household level, especially in developing countries. Meanwhile, the reliability of the existing data is questionable. This study aimed to quantify wheat bread waste (HBW) in Shiraz, Iran, and cross-examine the governmental HBW data. Face-to-face waste recall questionnaire interviews were conducted in 419 households from December 2018 to August 2019. A multistage sampling strategy consisting of stratification, clustering, and systematic sampling was employed. Moreover, we carried out a comprehensive document review to extract and analyze the official HBW data. The results revealed that the HBW in Shiraz is 1.80%-the waste amounts for traditional bread and non-traditional bread were 1.70% and 2.50%, respectively. The survey results were compared with the previous official data, revealing a substantial contradiction with the 30% HBW reported between 1991 and 2015. Possible reasons for this disparity are explored in this paper. Although our results cannot be generalized to other food commodities and locations, our findings suggest that considering the substantial likelihood of bias in the official data, policymakers should conduct more FW measurements and re-evaluate the accuracy of the existing data.

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