| Literature DB >> 35714820 |
Mohammad Iranmanesh1, Morteza Ghobakhloo2, Mehrbakhsh Nilashi3, Ming-Lang Tseng4, Madugoda Gunaratnege Senali5, Ghazanfar Ali Abbasi6.
Abstract
Food waste has adverse economic, social, and environmental impacts and increases the prevalence of food insecurity. Panic buying at the beginning of the COVID-19 outbreak raised serious concerns about a potential rise in food waste levels and higher pressure on waste management systems. This article aims to investigate the impact of COVID-19 on food waste behaviour and the extent to which it occurs using the systematic review method. A total of 38 articles were identified and reviewed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The findings showed that the COVID-19 pandemic led to reductions in household food waste in most countries. Several changes in shopping and cooking behaviours, food consumption, and managing inventory and leftovers have occurred due to COVID-19. Based on these insights, we predicted that some desirable food-management habits would be retained, and others would roll back in the post-COVID-19 world. The review contributes to the food waste literature by offering a comprehensive overview of behavioural changes during the COVID-19 pandemic and future research directions. CrownEntities:
Keywords: COVID-19 lockdown; Food waste behaviour; Household food waste; Sustainability
Mesh:
Year: 2022 PMID: 35714820 PMCID: PMC9195461 DOI: 10.1016/j.appet.2022.106127
Source DB: PubMed Journal: Appetite ISSN: 0195-6663 Impact factor: 5.016
Fig. 1Flow diagram of the article search and selection process.
Geographical location of data collection.
| Continent | No. of Articles | Countries | No. of Articles |
|---|---|---|---|
| Europe | 20 | Italy | 7 |
| UK | 3 | ||
| Spain | 2 | ||
| Germany | 1 | ||
| Portugal | 1 | ||
| Romania | 1 | ||
| Russia | 1 | ||
| Turkey | 1 | ||
| Serbia | 1 | ||
| Czech Republic | 1 | ||
| Bosnia | 1 | ||
| North America | 8 | US | 5 |
| Canada | 2 | ||
| Mexico | 1 | ||
| Asia | 6 | Malaysia | 1 |
| Thailand | 1 | ||
| Japan | 1 | ||
| China | 1 | ||
| Lebanon | 1 | ||
| Qatar | 1 | ||
| South America | 3 | Brazil | 2 |
| Peru | 1 | ||
| Africa | 1 | Tunisia | 1 |
| More than one Continents | 2 | More than 10 Countries | 2 |
Note. Three studies were conducted across two countries (Cequea et al., 2021; Everitt et al., 2021; Rodgers et al., 2021).
Research design.
| Research Design | No. of Articles (%) | Percentage (%) |
|---|---|---|
| Qualitative | 1 | 2.6 |
| Quantitative | 33 | 86.8 |
| Mixed-Method | 4 | 10.5 |
Methodology of studies on household food waste.
| Study | Region | Measurement Methodology | Sample Size | Time of Data Collection |
|---|---|---|---|---|
| China | Survey | 1006 consumers | June 2020 | |
| Italy | Survey | 1500 Consumers | May 2020 | |
| Czech | Food Diaries, Survey and Interviews | 900 households | Summer 2019 – Spring 2020 | |
| Malaysia | Survey | 274 consumers | April–May 2020 | |
| Russia | Survey | 1297 consumers | October–November 2020 | |
| USA | Survey | 300 consumers | March–July 2020 | |
| Armstrong et al. (2021) | UK | Survey | 473 consumers | March 2020 |
| No Specific Country | Secondary Data | 13,635 Tweets | July 2021 | |
| Thailand | Survey | 222 Consumers | June 2020 | |
| Bosnia | Survey | 3133 Consumers | October–November 2020 | |
| 23 Countries | Survey | 204 consumers | August–November 2020 | |
| Peru and Brazil | Survey | 418 consumers | May 2020 | |
| USA | Secondary Data | Not Applicable | Not Mentioned | |
| USA and Italy | Survey | 478 consumers (USA) | April 2020 | |
| Romania | Survey | 375 Students | Not mentioned | |
| Brazil | Survey | 458 consumers | May 2020 | |
| Spain | Survey | 6293 consumers | May–June 2020 | |
| Not Applicable | Review | Not Applicable | Not Applicable | |
| Italy | Survey | 1865 consumers | May 2020 | |
| USA | Survey | 946 consumers | October 2020 | |
| Italy | Food Diaries | 15 households | March–May 2020 | |
| Canada | Survey, Food Diaries, and Interviews | 19 households | February–March 2020 and July–August 2020 | |
| Serbia | Survey | 1212 consumers | May–June 2020 | |
| No Specific Country | Secondary Data | Not Applicable | Not mentioned | |
| Germany | Survey | 973 consumers | April 2020 | |
| USA | Survey | 396 consumers | July 2020 | |
| UK | Survey and Interviews | 205 consumers | June–July 2020 | |
| Italy | Survey | 831 consumers | November 2020 | |
| UK and Canada | Food Diaries | 100 households | June 2020 | |
| Yetkin | Turkey | Survey | 511 consumers | January 2021 |
| Lebanon | Survey | 201 consumers | July–August 2020 | |
| Vargas-Lopez et al. (2021) | Mexico | Survey | 538 households | December 2020–January 2021 |
| Italy | Survey | 1188 consumers | April 2020 | |
| Japan | Survey | 1959 consumers | July 2020 | |
| Aldaco et al. (2020) | Spain | Secondary Data | Not Applicable | March–April 2019 |
| Qatar | Survey | 579 consumers | May–June 2020 | |
| Tunisia | Survey | 284 Consumers | March–April 2020 | |
| Pires et al. (2020) | Portugal | Survey | 841 consumers | May–June 2020 |
| Italy | Survey | 1078 Consumers | March–April 2020 |
Influence of COVID-19 on personal development and behavioural change.
| Factors | Causes and Effects | Sources |
|---|---|---|
| Panic Buying | Due to fear and anxiety Fear of food supply chain disruption Stockpiling gives a sense of control Overbuying and inappropriate food storage may increase food waste Panic buying of perishable foods can cause food waste Trust in government policy reduces panic buying Trust in supply chain resilience reduces panic buying Using leftovers, better inventory management, preparing a shopping list, and purchasing non-perishable products offset the influence of panic buying of food waste. | Hassen et al. (2020); |
| Home Cooking | Have a better overview of the food that they had at home. Better awareness of expiration dates of their food stock. More eating at home Less out of home meals People who cook have more concerns about food waste. Overcooking culture has an adverse effect on food waste. Better estimation of how much to cook. | |
| Cooking Skills Development | More time to develop cooking skills Better cooking skill Confidence in cooking Cooking more efficiently | |
| Using leftovers | Higher usage of leftovers Cooking new recipes with leftovers Serving leftovers at the family meal Feeding dogs with leftovers in cities Feeding chickens in the countryside | |
| Online Shopping | Reduce bulk shopping Limiting panic shopping Less stockpiling | |
| Food Delivery Services | Ordering unfavourable foods Pre-planned food ordering can reduce food waste by reducing excess food purchases. More ready-made meals | |
| Shopping | Less shopping frequency may either increase or reduce food waste. Less shopping frequency increases the wastage of fresh foods. Lower frequency of shopping forces households to think more about their needs and have a better plan for food shopping. More responsible purchasing by checking the refrigerator Writing shopping lists Eating whatever is available More online shopping and food delivery services. | |
| Meal Planning | Meal planning reduces food waste | |
| Food Shopping Planning | Less shipping frequency triggers shopping planning Better food shopping plan Preparing shopping list | |
| Stockpiling | Better in house food storage Storing more food may lead to higher waste Buying not-intended food can increase food waste. More stockpiling gives a sense of stability and predictability during uncertain times Purchasing more non-perishable food | |
| Inventory Management | Use of inventories that would be subsequently be discarded Organized food based on the expiration date Check the refrigerator regularly to monitor the state of store food. Expand cold storage capacity | |
| Impulse Buying | Buying unfavourable foods leads to more food waste. Online shopping and social media platforms trigger impulse buying. | |
| Social Media Usage | Purchase exotic food influenced by social media Exposure to food-related content motivates to purchase and consume more food Food-related pages on social media can develop cooking skills. | |
| Sustainability Awareness | Higher awareness of the environmental consequences of food waste Higher awareness of the ethics of food waste. High sustainability awareness Leads to responsible behaviour Less food wastage | |
| More Dieting | More time to take diet. Diet leads to a planned meals routine. Well-organized shopping list. Consuming more fruit and vegetables during a diet can increase food waste. | |
| Awareness of Children's Favourites | Better awareness of favourite food of children Fewer leftovers |
The impacts of demographic and situational factors on the association between COVID-19 and food waste.
| Factors | Causes and Effects | Sources |
|---|---|---|
| Household Size | On average, the food wastage of large households is higher than small households. During the COVID-19 lockdowns, the food wastage of large households was reduced drastically. More members lead to less food waste due to higher consumption during the lockdown. More children can lead to higher food waste as spending more time on childcare leads to less time for meal planning and cooking. | |
| Gender | Women reduced food waste more than men during the pandemic Women have more concerns about the adverse effects of food waste on the environment Women have a better understanding of food waste In most cultures, women are in charge of cooking and inventory management | |
| Age | Older people reduce food waste more than young ones during the pandemic Young people have less experience in food management, which causes higher wastage. Older people may see food as more valuable if they have gone through economically challenging periods. Older people spend more time at home and have more time to manage food. Young people started food management practices during the pandemic | |
| Education | Higher academic levels lead to less food waste usually. | Hassen et al. (2020); |
| Employment Status | Employment status influences lifestyle (e.g., dietary habits and daily schedules) Unemployment leads to food waste reduction | |
| Income | Loss of income leads to food waste reduction Higher incomes lead to higher food waste. | |
| Time Availability | Working from home More time to develop cooking skills. More time for cooking and food preparation. More time for food planning. Work-life balance More time to invest in knowledge | |
| Residency Location | Size of city Rural against urban |
Fig. 2Summary of changes during the COVID-19 pandemic and the expecting behaviours in the post-COVID 19 worlds.