| Literature DB >> 35721386 |
Viachaslau Filimonau1, Le Hong Vi1, Sean Beer1, Vladimir A Ermolaev2.
Abstract
The Covid-19 pandemic has changed attitudes of English households towards food consumption at home and when eating out. Little academic research has however examined the scope and the scale of these changes, especially in the context of foodservice provision. This mixed methods study explores the effect of Covid-19 on food consumption in English households at home and away. It reveals increased frequency and variety of cooking during lockdown as a driver of household food wastage. The study demonstrates public hesitance towards eating out post-Covid-19. Foodservice providers are expected to re-design their business settings and adopt protective and preventative measures, such as frequent cleaning and routine health checks, to encourage visitation. After the pandemic, increased preference towards consuming (more) sustainable food at home, but not when eating out, is established. These insights can aid grocery and foodservice providers in offering more tailored products and services in a post-pandemic future.Entities:
Keywords: Covid-19; Food waste; Grocery retail; Healthy eating; Household food consumption; Restaurant
Year: 2021 PMID: 35721386 PMCID: PMC9192145 DOI: 10.1016/j.seps.2021.101125
Source DB: PubMed Journal: Socioecon Plann Sci ISSN: 0038-0121 Impact factor: 4.641
Interview participants (n = 16).
| Pseudonym | Gender | Approximate age | Household structure | Employment |
|---|---|---|---|---|
| Caroline | Female | In her 40s | Partner, two children | Full-time |
| Chris | Male | In his 70s | Living alone | Retired |
| Jean | Female | In her 30s | Partner | Part-time |
| Joanna | Female | In her 50s | Partner, three children | Full-time |
| Jessica | Female | In her 40s | Partner, two children | Full-time |
| Jordan | Male | In his 40s | Partner, one child | Furloughed |
| Jupiter | Female | In her 20s | Living alone | Student |
| Kevin | Male | In his 50s | Living alone | Part-time |
| Lisa | Female | In her 20s | Partner | Unemployed |
| Lloyd | Male | In his 20s | Living alone | Student |
| Louise | Female | In her 50s | Partner, one child | Full-time |
| Matt | Male | In his 50s | Partner, one child | Furloughed |
| Ricky | Male | In his 60s | Partner | Retired |
| Sammy | Female | In her 30s | Partner | Furloughed |
| Sean | Male | In his 30s | Partner, two children | Full-time |
| Thomas | Male | In his 70s | Partner | Retired |
Fig. 1The final coding structure of interviews. Legend: Yellow colour indicates themes. Blue colour indicates sub-themes. Green colour indicates codes.
Socio-demographic profile of the survey respondents.
| Feature | Frequency (n = 205) | Share of the sample (%) | |
|---|---|---|---|
| 18–25 | 12 | 6 | |
| 26–40 | 41 | 20 | |
| 41–54 | 54 | 26 | |
| 55–64 | 51 | 25 | |
| 65+ | 47 | 23 | |
| Male | 59 | 29 | |
| Female | 146 | 71 | |
| Single, never married | 41 | 20 | |
| Married/Living with partner, no children | 64 | 31 | |
| Married/Living with partner, with children | 59 | 29 | |
| Divorced | 31 | 15 | |
| Widow(er) | 10 | 5 | |
| Secondary/High school | 51 | 25 | |
| College/University | 132 | 65 | |
| Master/Doctorate | 17 | 8 | |
| Other | 5 | 2 | |
| Full-time | 82 | 40 | |
| Part-time | 28 | 14 | |
| Temporarily unemployed (excluding furlough) | 13 | 6 | |
| Furloughed | 16 | 8 | |
| Student | 9 | 4 | |
| Retired | 57 | 28 | |
| Below nation's average | 60 | 29 | |
| Nation's average | 38 | 19 | |
| Above nation's average | 107 | 52 | |
Fig. 2Changes in eating behaviour of English households in light of Covid-19.
The Rotated Component Matrix results.
| Component | α | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | ||
| Re-design of restaurant settings = Restaurant setting | 0.896 | ||||
| No self-service buffets | 0.757 | 0.665 | |||
| All food to be under cover | 0.718 | 0.572 | |||
| Food provided in outdoor areas | 0.643 | 0.620 | |||
| Placing tables far apart | 0.610 | 0.744 | |||
| Limit customer numbers | 0.553 | 0.734 | |||
| Disposable/wrapped items | 0.535 | 0.586 | |||
| Plexi-glass screens | 0.533 | 0.702 | |||
| Digital menus | 0.503 | 0.658 | |||
| Contactless payments | 0.501 | 0.702 | |||
| Organic and fair trade products | 0.826 | 0.572 | |||
| Cooking ingredients boosting the immune system | 0.754 | 0.626 | |||
| Reduction of wastage | 0.702 | 0.590 | |||
| Local foodstuffs/ingredients | 0.689 | 0.657 | |||
| Healthy eating at home | 0.609 | 0.630 | |||
| Healthy eating when going out | 0.581 | 0.579 | |||
| Temperature checks of customers | 0.733 | 0.660 | |||
| Temperature checks of employees | 0.710 | 0.677 | |||
| Staff wearing masks and gloves | 0.541 | 0.574 | |||
| Hand sanitizers at the entrance to the venue | 0.864 | 0.860 | |||
| Hand sanitizers throughout the venue | 0.784 | 0.816 | |||
| Frequent cleaning | 0.776 | 0.803 | |||
The Pearson correlation test.
| Eating out intention | Restaurant setting | Sustainable eating | Health precautions | Preventative hygiene | ||
|---|---|---|---|---|---|---|
| Eating out intention | Pearson correlation | 1 | ||||
| Sig. (2-tailed) | ||||||
| Restaurant setting | Pearson correlation | .197 | 1 | |||
| Sig. (2-tailed) | .005 | |||||
| Sustainable eating | Pearson correlation | .005 | .361 | 1 | ||
| Sig. (2-tailed) | .024 | .000 | ||||
| Health precautions | Pearson correlation | .161 | .683 | .413 | 1 | |
| Sig. (2-tailed) | .021 | .000 | .000 | |||
| Preventative hygiene | Pearson correlation | .025 | .670 | .385 | .525 | 1 |
| Sig. (2-tailed) | .042 | .000 | .000 | .000 | ||
The regression test.
| Hypothesis | VIF | Sig. | (β) | Outcome |
|---|---|---|---|---|
| 2.231 | 0.274 | 0.083 | Not supported | |
| 1.493 | 0.008 | 0.685 | Supported | |
| 1.001 | 0.002 | 0.099 | Supported | |
| 1.261 | 0.042 | 0.391 | Supported |