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Impact of Movement Control Order (MCO) due to Coronavirus Disease (COVID-19) on Food Waste Generation: A Case Study in Klang Valley, Malaysia

Author

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  • Muhammad Heikal Ismail

    (Department of Chemical and Environmental Engineering, Faculty of Engineering, UPM Serdang 43400, Malaysia)

  • Tinia Idaty Mohd. Ghazi

    (Department of Chemical and Environmental Engineering, Faculty of Engineering, UPM Serdang 43400, Malaysia)

  • Muhammad Hazwan Hamzah

    (Department of Biological and Agricultural Engineering, Faculty of Engineering, UPM Serdang 43400, Malaysia)

  • Latifah Abd Manaf

    (Department of Environment, Faculty of Forestry and Environment, UPM Serdang 43400, Malaysia)

  • Ramli Mohd Tahir

    (KDEB Waste Management Sdn Bhd, Shah Alam 40000, Malaysia)

  • Ahadi Mohd Nasir

    (KDEB Waste Management Sdn Bhd, Shah Alam 40000, Malaysia)

  • Ammar Ehsan Omar

    (KDEB Waste Management Sdn Bhd, Shah Alam 40000, Malaysia)

Abstract

The outbreak of a neurological disorder was first discovered as a new coronavirus (2019-nCoV) in Wuhan, China. The infection spread rapidly in China and throughout the world, including Malaysia. Malaysia recorded its initial case on 25 January 2020 with intensifying numbers since March 2020. Due to this uncertain circumstance, Malaysia has introduced the Movement Control Order (MCO) with the main aim of isolating the source of the COVID-19 outbreak, which was effective from 18 March 2020. The restriction has observed fewer vehicles on the road with industrial and commercial activities being suspended. The objective of the study is to quantify the effects of MCO to food waste generation in town and district areas of Klang Valley, Malaysia. Food waste generation data was derived from the Project Delivery Department, KDEB Waste Management on a daily basis before (19 February–17 March 2020) and during the MCO (18 March–14 April 2020) at 12 local authorities in Selangor, Malaysia. The data was obtained with the limitation of assumption that there is no waste compositional analysis to be conducted in 2020. Despite the stay-at-home order, food waste data showed a descriptive reduction of up to 15.1% during the MCO. Statistical analysis of food waste generation from one-way variance has shown that municipal and district local authorities recorded a significant reduction ( p < 0.50) during the MCO. The food waste reduction during the MCO will deliver as the evidence-based results to push the need for policies in Malaysia as per the goals outlined in Sustainable Development Goals of global food loss and waste.

Suggested Citation

  • Muhammad Heikal Ismail & Tinia Idaty Mohd. Ghazi & Muhammad Hazwan Hamzah & Latifah Abd Manaf & Ramli Mohd Tahir & Ahadi Mohd Nasir & Ammar Ehsan Omar, 2020. "Impact of Movement Control Order (MCO) due to Coronavirus Disease (COVID-19) on Food Waste Generation: A Case Study in Klang Valley, Malaysia," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8848-:d:434333
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    References listed on IDEAS

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    4. Veknesh Arumugam & Ismail Abdullah & Irwan Syah Md Yusoff & Nor Liza Abdullah & Ramli Mohd Tahir & Ahadi Mohd Nasir & Ammar Ehsan Omar & Muhammad Heikal Ismail, 2021. "The Impact of COVID-19 on Solid Waste Generation in the Perspectives of Socioeconomic and People’s Behavior: A Case Study in Serdang, Malaysia," Sustainability, MDPI, vol. 13(23), pages 1-11, November.
    5. Kelly Cosgrove & Maricarmen Vizcaino & Christopher Wharton, 2021. "COVID-19-Related Changes in Perceived Household Food Waste in the United States: A Cross-Sectional Descriptive Study," IJERPH, MDPI, vol. 18(3), pages 1-11, January.
    6. Kun Qian & Firouzeh Javadi & Michikazu Hiramatsu, 2020. "Influence of the COVID-19 Pandemic on Household Food Waste Behavior in Japan," Sustainability, MDPI, vol. 12(23), pages 1-15, November.
    7. Zheng, Qiujie & Gao, Zhifeng & Berry, Kevin, 2023. "Factors affecting household food waste behavior during COVID-19: Shopping behavior, cooking behavior, food security, and household characteristics," 2023 Annual Meeting, July 23-25, Washington D.C. 335672, Agricultural and Applied Economics Association.
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