| Literature DB >> 36127885 |
Željko Vaško1, Aleksandar Ostojić1, Tarek Ben Hassen2, Siniša Berjan3, Hamid El Bilali4, Igor Durđić3, Soroush Marzban5.
Abstract
An increasing corpus of data demonstrated the disruptive impacts of the COVID-19 pandemic on food consumption habits, particularly food waste, but the Balkan area is often overlooked. Accordingly, this study investigates the immediate effects of the COVID-19 pandemic on consumer knowledge and reported behaviours linked to food waste in Bosnia and Herzegovina. The research was based on an online survey with 2425 participants using the Google forms platform from 10 April to 10 May 2020. This period coincided with the first wave of the COVID-19 pandemic in Bosnia and Herzegovina. Consumers' behaviours regarding where and how often they buy food, their attitude towards food labels, food provision and particularly the amounts and values of food waste and how they handle it were investigated. The data were analysed using descriptive statistics methods, and the significance of the association between variables was determined using nonparametric and multivariate statistical tests. The study's findings revealed that (i) Bosnia has a low rate of household food waste and a favourable attitude towards food waste prevention, (ii) the majority of the respondents are familiar with the most common expiry labels, notably 'use by' and 'best before' and (iii) consumers adjusted their buying and consumption patterns due to the pandemic. The findings of this research are essential for developing evidence-based policy in Bosnia and Herzegovina during the post-pandemic recovery period since they are unique to that country. Indeed, the crisis' lessons and insights may be used to help move towards more sustainable consumption habits.Entities:
Keywords: Bosnia and Herzegovina; COVID-19; Coronavirus; Food waste; food consumption; food shopping
Year: 2022 PMID: 36127885 PMCID: PMC9490395 DOI: 10.1177/0734242X221122495
Source DB: PubMed Journal: Waste Manag Res
Sociodemographic characteristics of the respondents (n = 2425).
| Characteristics | Frequency | Percentage |
|---|---|---|
| Gender | ||
| Male | 792 | 32.7 |
| Female | 1633 | 67.3 |
| Age | ||
| 18–24 | 411 | 16.9 |
| 25–34 | 670 | 27.6 |
| 35–44 | 730 | 30.1 |
| 45–54 | 368 | 15.2 |
| ⩾55 | 246 | 10.1 |
| Level of education | ||
| No formal education | 4 | 0.2 |
| Primary education | 10 | 0.4 |
| Secondary education | 481 | 19.8 |
| Technical qualification | 59 | 2.4 |
| University education | 1294 | 53.4 |
| MSc or PhD | 577 | 23.8 |
| Employment status | ||
| Regular job | 1713 | 70.6 |
| Student | 385 | 15.9 |
| Unemployed | 234 | 9.6 |
| Housekeeping | 47 | 1.9 |
| Retired | 46 | 1.9 |
| Household situation | ||
| Single person household | 208 | 8.6 |
| Living with parents | 715 | 29.5 |
| Living with partner | 293 | 12.1 |
| Married with children | 1.081 | 44.6 |
| Shared household, unrelated | 23 | 0.9 |
| Living with relatives | 105 | 4.3 |
| Number of household members | ||
| One | 181 | 7.5 |
| Two | 441 | 18.2 |
| Three | 615 | 25.4 |
| Four | 780 | 32.1 |
| Five | 264 | 10.9 |
| Six | 92 | 3.8 |
| Seven | 52 | 2.1 |
Food shopping behaviour.
| Variables | All (%) | Gender | Age | Education | Occupation | Family status | Number of household members |
|---|---|---|---|---|---|---|---|
| Market place | ns | 0.000 | 0.000 | 0.007 | |||
| Hypermarket/supermarket | 64.5 | ||||||
| Mini market | 23.2 | ||||||
| Food shop | 10.4 | ||||||
| Directly from farmers | 1.9 | ||||||
| Shopping frequency | ns | ns | ns | ns | 0.000 | 0.002 | |
| Every day | 27.8 | ||||||
| Once every 2 days | 19.8 | ||||||
| Twice a week | 25.3 | ||||||
| Once a week | 17.3 | ||||||
| Every 2 weeks | 9.9 | ||||||
| Household monthly food expenditure | ns | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | |
| Up to 50 euros | 3.8 | ||||||
| 51–100 euros | 10.1 | ||||||
| 101–150 euros | 26.3 | ||||||
| 151–300 euros | 41.6 | ||||||
| More than 300 euros | 18.2 | ||||||
ns: not significant.
p < 0.05. **p < 0.01.
Management of uneaten food in the household.
| Variables | Statement | All (%) | Gender | Age | Education | Occupation | Family status | Number of household members |
|---|---|---|---|---|---|---|---|---|
| Amounts of uneaten food thrown away | ns | ns | ns | ns | ns | 0.000 | ||
| Much more than it should be | 4.0 | |||||||
| More than it should be | 10.8 | |||||||
| A reasonable amount | 21.3 | |||||||
| Very little | 42.6 | |||||||
| Almost nothing | 21.3 | |||||||
| Frequency of throwing away leftovers | ns | 0.000 | 0.034 | 0.000 | 0.006 | 0.000 | ||
| Never | 11.8 | |||||||
| Less than once a week | 55.5 | |||||||
| Once or twice a week | 25.2 | |||||||
| More than twice a week | 7.5 | |||||||
| Management of uneaten food | ns | 0.000 | 0.000 | ns | ns | 0.000 | ||
| I throw it away in the garbage bin | 31.3 | |||||||
| I give it as a donation | 1.3 | |||||||
| I do compost | 3.5 | |||||||
| I feed it to animals | 60.1 | |||||||
| Other | 3.8 | |||||||
| The monthly value of food waste | 0.002 | 0.001 | ns | ns | ns | 0.001 | ||
| Less than 5 euros | 50 | |||||||
| 5–25 euros | 42.7 | |||||||
| 25–50 euros | 6.3 | |||||||
| More than 50 euros | 0.9 | |||||||
ns: not significant.
p < 0.05. **p < 0.01.
Figure 1.Household food waste estimation by product category.
Ways and frequency of food provision.
| Frequency | Cooking a meal from fresh ingredients (%) | Eating the meal leftover from the previous day (%) | Eating outside or ordering meals (%) | Eating ready-made purchased food for quick preparation (%) |
|---|---|---|---|---|
| Never | 0.9 | 7.5 | 34.2 | 67.0 |
| Less than twice a week | 10.6 | 68.2 | 55.9 | 27.1 |
| 3–6 times per week | 67.4 | 20.8 | 6.6 | 2.9 |
| 7–10 times per week | 15.0 | 0.9 | 0.7 | 0.3 |
| More than 10 times | 6.1 | 0.6 | 2.6 | 2.7 |
| Total | 100 | 100 | 100 | 100 |
Causes of household food wastage.
| Statement | Frequency | Percentage |
|---|---|---|
| The food has been in the fridge for a long time | 997 | 41.1 |
| The food has expired | 932 | 38.4 |
| The food does not look good/edible | 667 | 27.5 |
| The food had mould | 667 | 27.5 |
| The food has no pleasant smell or taste | 626 | 25.8 |
| Portions at home are too abundant | 396 | 16.3 |
| There was an error in meal planning/purchasing | 383 | 15.8 |
| Wrong preservation | 248 | 10.2 |
| Poor cooking skills | 85 | 3.5 |
| The package was not the right size | 67 | 2.8 |
| I don’t like food or its ingredients | 59 | 2.4 |
| Labels lead to confusion | 52 | 2.1 |
Opinions regarding food labels.
| Questions | Variables | All (%) | Gender | Age | Education | Occupation | Number of household members |
|---|---|---|---|---|---|---|---|
| In regard to food labels, which of the following do you think best describes what is meant by the ‘use by’ date? | ns | 0.010 | ns | ns | ns | ||
| Food must be eaten or thrown away by that date | 75.7 | ||||||
| Food is still edible after that date if it is not damaged, spoiled or dehydrated | 20 | ||||||
| Food must be sold at a discount after this date | 4.3 | ||||||
| In regard to food labels, which of the following do you think best describes what is meant by the ‘best before’ date? | 0.010 | 0.000 | 0.000 | 0.001 | 0.000 | ||
| Food must be eaten or thrown away by that date | 55.5 | ||||||
| Food is still edible after that date if it is not damaged, spoiled or dehydrated | 40 | ||||||
| Food must be sold at a discount after this date | 4.5 |
ns: not significant.
p < 0.05. **p < 0.01.
Consumer food-related behaviour changes during the COVID-19 pandemic.
| Item | % | Gender | Age | Education | Occupation | Household composition | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| χ2 | χ2 | χ2 | χ2 | χ2 | |||||||
| Changes in the frequency of food purchases during the COVID-19 pandemic | 6.640 | 0.036 | 23.653 | 0.003 | 20.663 | 0.002 | ns | ns | ns | ns | |
| I buy online | 2.6 | ||||||||||
| I shop in person less often | 37.9 | ||||||||||
| I shop in person as often as before | 59.5 | ||||||||||
| What has changed in the extent of your purchase during the outbreak of COVID-19 and lockdown? | ns | ns | 35.237 | 0.004 | 54.436 | 0.000 | 29.642 | 0.020 | ns | ns | |
| I buy much more than usual | 3.3 | ||||||||||
| I buy more than usual | 14.4 | ||||||||||
| I buy the same as usual | 68.7 | ||||||||||
| I buy less than usual | 11.1 | ||||||||||
| I buy much less than usual | 2.4 | ||||||||||
| Changes in the quantities of food consumed during the COVID-19 pandemic | 20.627 | 0.000 | 48.475 | 0.000 | 28.410 | 0.005 | ns | ns | ns | ns | |
| Much more than usual | 1.9 | ||||||||||
| More than usual | 21.7 | ||||||||||
| Same as usual | 69.4 | ||||||||||
| Less than usual | 5.2 | ||||||||||
| Much less than usual | 1.7 | ||||||||||
ns: not significant.
p < 0.05. **p < 0.01.
Frequency of purchasing certain types of food during the COVID-19 pandemic.
| Food group | Frequency | Percentage |
|---|---|---|
| Fruits | 1,730 | 71.3 |
| Vegetables | 1,446 | 59.6 |
| Milk and dairy products | 1,280 | 52.8 |
| Meat and meat products | 1,212 | 50.0 |
| Cereals and products (bread, rice, pasta) | 1,197 | 49.4 |
| Roots and tubers (potatoes, etc.) | 655 | 27.0 |
| Pulses and oilseeds (e.g. peas, olives, sunflowers) | 381 | 15.7 |
| Fish and seafood | 377 | 15.5 |
| None | 190 | 7.8 |
| Never | Less than twice a week | Three to six times | Seven to ten times | More than ten times | |
|---|---|---|---|---|---|
| Cook a main meal from raw main ingredients | |||||
| Eat a meal left over from a previous day | |||||
| Eat out or eat a takeaway (as a main meal) | |||||
| Eat store-purchased ready-made meals (e.g. frozen dinners) |
| Less than 2% | 3 to 5% | 6 to 10% | 11 to 20% | Over 20% | |
|---|---|---|---|---|---|
| Cereals and Bakery products (bread, rice, pasta, etc.) | |||||
| Roots and tubers (potatoes, etc.) | |||||
| Pulses and oil seeds (e.g. peas, chickpeas, olives, sunflowers) | |||||
| Fruits | |||||
| Vegetables | |||||
| Meat and meat products | |||||
| Fish and seafood | |||||
| Milk and dairy products |