Afzal, N, Basit, A, Daniel, A et al. (10 more authors) (2022) Quantifying Food Waste in the Hospitality Sector and Exploring Its Underlying Reasons—A Case Study of Lahore, Pakistan. Sustainability, 14 (11). 6914. ISSN 2071-1050
Abstract
Given that about 40% of the total food produced globally is lost or wasted, there is an urgent need to understand what, where, why and how much food waste is generated. In this study, we collected the much-needed primary empirical data from the restaurants, hotels and caterers of Lahore, Pakistan through surveys and live tracking/diaries. Specifically, two key performance indicators, waste per customer (g) and percentage waste per day (%), were measured. Waste per customer was found to be 79.9 g (survey) and 73.4 g (live tracking) for restaurants, 138.4 g for hotels and 140.0 g for caterers. Similarly, the percentage of waste per day (%) was found to be 15% (survey) and 17% (live tracking) for restaurants. Results revealed that customer plate leftovers were reported to be the primary source of food waste, followed by inaccurate customer forecasting. Given the food waste levels identified in this study, the development and adoption of a national goal and target aimed at food waste reduction could usefully guide the efforts of all stakeholders. To achieve this, we need to build the capacity of all the relevant stakeholders on food loss and waste measurements and ensure national food waste reporting.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 by the authors. This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | food waste; hospitality sector; waste per customer; percentage waste; quantification; Pakistan |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jul 2022 14:34 |
Last Modified: | 13 Jul 2022 14:34 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/su14116914 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188567 |