| Literature DB >> 36118161 |
Eileen Bogweh Nchanji1, Cosmas Kweyu Lutomia2.
Abstract
Despite fears that sub-Sahara Africa would be severely impacted by COVID-19, the implications of the pandemic on sustainable production and consumption have not been studied in detail. Notwithstanding, implications vary depending on country, region, and strictness of coronavirus containment measures. Thus, the impact of COVID-19 on food and nutritional security was expected to be dire in sub-Saharan Africa because of its enormous reliance on global food systems. This article explored the implications of COVID-19 on sustainable production and consumption by focusing on common beans, vegetables, fish, and fruits produced and consumed in rural, peri-urban and urban areas. Two surveys were conducted to collect quantitative data from 619 producers in rural areas and 307 consumers from peri-urban and urban areas of ten Eastern and Southern African countries. Descriptive statistics (frequencies and percentages) and chi-square test for independence were used to analyse the data. The results show that the pandemic disrupted bean production and consumption across the two sub-regions. However, Southern African farmers and consumers were disproportionately more affected. While farmers in Eastern Africa reported input market challenges, those in Southern Africa identified challenges related to marketing farm produce. We also report that home gardening in urban and peri-urban areas enhanced urban food systems' resilience to the impacts of the pandemic on food security. The study argues that short food supply chains can sustain rural and urban livelihood against adverse effects of the pandemics and contribute towards sustainable production and consumption. Therefore, local input and food distribution models and inclusive institutional and legal support for urban agriculture are crucial drivers for reducing food and nutritional insecurity, poverty, and gender inequality. They are also critical to supporting sustainable production and consumption.Entities:
Keywords: Common beans; Gender; SDGs; Supply chains; Sustainable production and consumption; Vegetable
Year: 2021 PMID: 36118161 PMCID: PMC9464269 DOI: 10.1016/j.spc.2021.05.016
Source DB: PubMed Journal: Sustain Prod Consum ISSN: 2352-5509
Sample sizes.
| Sub-region | Country | Farmers | Consumers | Total |
|---|---|---|---|---|
| Eastern | Burundi | 41 | 37 | 78 |
| DRC | 42 | 45 | 87 | |
| Ethiopia | 37 | 35 | 72 | |
| Kenya | 41 | 35 | 76 | |
| Tanzania | 110 | 112 | 222 | |
| Uganda | 41 | 43 | 84 | |
| Southern | Malawi | 37 | 34 | 71 |
| Mozambique | 36 | 36 | 72 | |
| Zambia | 40 | 48 | 88 | |
| Zimbabwe | 36 | 40 | 76 | |
| Sample size |
Fig. 1Percentages of bean producers affected by COVID-19 by region and gender (women Chi-square = 36.59, p < 0.01; men Chi-square = 36.86, p < 0.01; pooled Chi-square = 72.89, p < 0.01).
Fig. 2Percentages of men and women bean producers that were affected by COVID-19 by country.
Regional comparison of percentages of challenges experienced by bean producers during the pandemic.
| Eastern Africa | Southern Africa | ||||
|---|---|---|---|---|---|
| Freq. | Percent | Freq. | Percent | Chi-square | |
| Seed unavailability | 41 | 28.28 | 23 | 10.7 | 90.19*** |
| Higher prices for inputs | 22 | 15.17 | 26 | 12.09 | |
| Agronomic/extension information | 19 | 13.10 | 30 | 13.95 | |
| High prices for hired labor | 13 | 8.97 | 1 | 0.47 | |
| Delay in planting | 13 | 8.97 | 5 | 2.33 | |
| Low price in the market | 11 | 7.59 | 27 | 12.56 | |
| Delayed harvest | 8 | 5.52 | 1 | 0.47 | |
| Lower demand in the market | 7 | 4.83 | 29 | 13.49 | |
| Fertilizer unavailability | 5 | 3.45 | 4 | 1.86 | |
| Transporting harvest challenges | 4 | 2.76 | 50 | 23.26 | |
| Difficult to access credit facilities | 2 | 1.38 | 19 | 8.84 | |
*** p<0.01.
Percentages of challenges experienced by bean farmers during COVID-19 by gender.
| DRC | Ethiopia | Kenya | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Women | Men | Chi-square | Women | Men | Chi-square | Women | Men | Chi-square | |
| Seed unavailability | 41.38 | 57.14 | 5.77 | 0.64 | 4.95 | ||||
| Higher prices for inputs | 20.69 | 17.86 | 40.00 | ||||||
| High prices for hired labour | 1.72 | 10.00 | 20.00 | 25.00 | |||||
| Delay in planting | 17.24 | 10.71 | |||||||
| Delayed harvest | 8.62 | 7.14 | |||||||
| Low price in the market | 5.17 | 3.57 | 20.00 | ||||||
| Fertilizer unavailability | 3.57 | 25.00 | |||||||
| Difficult to access credit facilities | 1.72 | ||||||||
| Lower demand in the market | 1.72 | 20.00 | 25.00 | ||||||
| Difficulties accessing extension | 1.72 | 100.00 | 90.00 | ||||||
| Transporting harvest challenges | 25.00 | ||||||||
Percentages of types of bean seed planted by the effect of the pandemic on bean production and country.
| Affected | Not affected | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Certified | Mix | QDS | Saved | Certified | Mix | QDS | Saved | Chi-square | |
| Burundi | 0.00 | 0.00 | 0.00 | 0.00 | 4.88 | 9.76 | 0.00 | 85.37 | 0.00 |
| DRC | 30.00 | 70.00 | 0.00 | 0.00 | 0.00 | 100.00 | 0.00 | 0.00 | 0.84 |
| Ethiopia | 17.65 | 41.18 | 0.00 | 41.18 | 5.00 | 5.00 | 0.00 | 90.00 | 10.16*** |
| Kenya | 50.00 | 25.00 | 0.00 | 25.00 | 37.84 | 0.00 | 0.00 | 62.16 | 10.24*** |
| Tanzania | 14.29 | 28.57 | 57.14 | 0.00 | 4.85 | 21.36 | 12.62 | 61.17 | 13.91*** |
| Uganda | 18.75 | 25.00 | 6.25 | 50.00 | 29.17 | 8.33 | 4.17 | 58.33 | 2.40 |
| Malawi | 20.00 | 6.67 | 0.00 | 73.33 | 14.29 | 28.57 | 0.00 | 57.14 | 2.83 |
| Mozambique | 0.00 | 0.00 | 0.00 | 100 | 0.00 | 3.33 | 0.00 | 96.67 | 0.03 |
| Zambia | 17.5 | 30.00 | 40.00 | 12.50 | 0.00 | 0.00 | 0.00 | 0.00 | |
| Zimbabwe | 47.62 | 52.38 | 0.00 | 0.00 | 40.00 | 60.00 | 0.00 | 0.00 | 0.21 |
*** p<0.01.
Percentages of urban and peri-urban households consuming bean before and during COVID-19 by gender.
| Before | During | |||||
|---|---|---|---|---|---|---|
| Women | Men | Diff. | Women | Men | Diff. | |
| Burundi | 100 | 100 | 0 | 100 | 100 | 0 |
| DRC | 95 | 80 | -15 | 85 | 100 | 15 |
| Ethiopia | 100 | 100 | 0 | 100 | 100 | 0 |
| Kenya | 100 | 100 | 0 | 90.48 | 85.71 | -4.77 |
| Tanzania | 93.88 | 95.24 | 1.36 | 91.84 | 90.48 | -1.36 |
| Uganda | 62.16 | 16.67 | -45.49** | 78.38 | 83.33 | 4.95 |
| Malawi | 92 | 100 | 8 | 28 | 44.44 | 16.44 |
| Mozambique | 100 | 100 | 0 | 94.74 | 100 | 5.26 |
| Zambia | 97.06 | 100 | 2.94 | 76.47 | 78.57 | 2.1 |
| Zimbabwe | 83.33 | 93.75 | 10.42 | 20.83 | 0 | -20.83* |
*, ** p<0.1 and p<0.05 respectively.
Differences in percentages of urban and peri-urban women and men households consuming bean before and during COVID-19 by gender.
| Women | Men | |||||
|---|---|---|---|---|---|---|
| Before | During | Diff. | Before | During | Diff. | |
| Burundi | 100 | 100 | 0 | 100 | 100 | 0 |
| DRC | 95 | 85 | -10 | 80 | 100 | 20 |
| Ethiopia | 100 | 100 | 0 | 100 | 100 | 0 |
| Kenya | 100 | 90.48 | -9.52 | 100 | 85.71 | -14.29 |
| Tanzania | 93.88 | 91.84 | -2.04 | 95.24 | 90.48 | -4.76 |
| Uganda | 62.16 | 78.38 | 16.22 | 16.67 | 83.33 | 66.66** |
| Malawi | 92 | 28 | -64*** | 100 | 44.44 | -55.56*** |
| Mozambique | 100 | 94.74 | -5.26 | 100 | 100 | 0 |
| Zambia | 97.06 | 76.47 | -20.59** | 100 | 78.57 | -21.43* |
| Zimbabwe | 83.33 | 20.83 | -62.5*** | 93.75 | 0 | -93.75** |
*, **, *** p<0.1, p<0.05 and p>0.01 respectively.
Differences in the percentages of urban and peri-urban men and women households that consumed vegetables before and during COVID-19.
| Women | Men | |||||
|---|---|---|---|---|---|---|
| Before | During | Diff. | Before | During | Diff. | |
| Burundi | 100.00 | 95.65 | -4.35 | 92.85 | 92.85 | 0.00 |
| DRC | 92.50 | 95.00 | 2.50 | 60.00 | 60.00 | 0.00 |
| Ethiopia | 88.88 | 51.85 | -37.03*** | 100.00 | 100.00 | 0.00 |
| Kenya | 100.00 | 100.00 | 0.00 | 100.00 | 100.00 | 0.00 |
| Tanzania | 95.91 | 95.91 | 0.00 | 88.89 | 88.89 | 0.00 |
| Uganda | 67.57 | 43.24 | -24.33** | 83.33 | 50.00 | -33.33 |
| Malawi | 96.00 | 100.00 | 4.00 | 100.00 | 100.00 | 0.00 |
| Mozambique | 100.00 | 100.00 | 0.00 | 100.00 | 100.00 | 0.00 |
| Zambia | 100.00 | 97.06 | -2.94 | 100.00 | 100.00 | 0.00 |
| Zimbabwe | 100.00 | 91.67 | -8.33 | 100.00 | 81.25 | -18.75* |
*, **, *** p<0.1, p<0.05, p<0.01 respectively.
Fig. 3Differences between percentages of households that consumed vegetable before and during COVID-19 by ownership of the home garden.
Comparison of percentages of urban and peri-urban households fish consumption before and during COVID-19.
| Before COVID-19 | During COVID-19 | |||||
|---|---|---|---|---|---|---|
| Women | Men | Chi-square | Women | Men | Chi-square | |
| Burundi | 43.48 | 7.14 | 5.50** | 26.09 | 0.00 | 4.36** |
| DRC | 80.00 | 60.00 | 1.03 | 77.50 | 80.00 | 0.02 |
| Ethiopia | 7.41 | 0.00 | 0.63 | 0.00 | 0.00 | |
| Kenya | 52.38 | 64.29 | 0.49 | 28.57 | 7.14 | 2.41 |
| Tanzania | 71.43 | 63.49 | 0.78 | 67.35 | 52.38 | 2.55 |
| Uganda | 56.76 | 56.00 | 0.10 | 21.62 | 16.67 | 0.08 |
| Malawi | 96 | 100.00 | 0.37 | 88.00 | 77.78 | 0.55 |
| Mozambique | 78.95 | 64.71 | 0.91 | 73.68 | 35.29 | 5.36** |
| Zambia | 97.06 | 100.00 | 0.42 | 73.53 | 57.14 | 1.24 |
| Zimbabwe | 79.17 | 100.00 | 3.81* | 25.00 | 37.50 | 0.71 |
*, ** p<0.1 and p<0.05 respectively.
Differences between percentages of households that consumed fish before and during COVID-19 in urban and peri-urban areas by gender of respondents.
| Women | Men | ||||||
|---|---|---|---|---|---|---|---|
| Before | During | Diff. | Before | During | Diff. | ||
| Burundi | 43.48 | 26.09 | -17.39 | 7.14 | 0.00 | -7.14 | |
| DRC | 80.00 | 77.50 | -2.5 | 60 | 80.00 | 20 | |
| Ethiopia | 7.41 | 0.00 | -7.41 | 0.00 | 0.00 | 0 | |
| Kenya | 52.38 | 28.57 | -23.81 | 64.29 | 7.14 | -57.15*** | |
| Tanzania | 71.43 | 67.35 | -4.08 | 63.49 | 52.38 | -11.11 | |
| Uganda | 56.76 | 21.62 | -35.14*** | 56 | 16.67 | -39.33 | |
| Malawi | 96 | 88.00 | -8.00 | 100 | 77.78 | -22.22 | |
| Mozambique | 78.95 | 73.68 | -5.27 | 64.71 | 35.29 | -29.42* | |
| Zambia | 97.06 | 73.53 | -23.53*** | 100 | 57.14 | -42.86*** | |
| Zimbabwe | 79.17 | 25.00 | -54.17*** | 100 | 37.5 | -62.5*** | |
*, *** p<0.1 and p<0.01 respectively.
Differences between percentages of households that consumed fruits before and during COVID-19 in urban and peri-urban areas by gender of respondents.
| Women | Men | |||||||
|---|---|---|---|---|---|---|---|---|
| Before | During | Diff. | Before | During | Diff. | |||
| Burundi | 65.217 | 52.173 | -13.044 | 57.14 | 57.14 | 0.00 | ||
| DRC | 50.00 | 37.50 | -12.5 | 20.00 | 20.00 | 0.00 | ||
| Ethiopia | 37.04 | 29.63 | -7.408 | 12.5 | 12.50 | 0.00 | ||
| Kenya | 100.00 | 95.24 | -4.762 | 100.00 | 100.00 | 0.00 | ||
| Tanzania | 73.47 | 79.59 | 6.121 | 57.14 | 66.67 | 9.53 | ||
| Uganda | 32.43 | 16.21 | -16.22 | 33.33 | 16.67 | -16.66 | ||
| Malawi | 76.00 | 32.00 | -44.00*** | 100.00 | 44.44 | -55.56*** | ||
| Mozambique | 36.84 | 26.32 | -10.525 | 52.94 | 41.17 | -11.77 | ||
| Zambia | 97.06 | 47.06 | -50.00*** | 78.57 | 42.86 | -35.71* | ||
| Zimbabwe | 79.17 | 0.00 | -79.17*** | 93.75 | 6.25 | -87.50*** | ||
*, *** p<0.1 and p<0.01 respectively.
Percentages of urban and peri-urban households that consumed bean before and during the pandemic by region and gender.
| Home garden ( | Market ( | ||||||
|---|---|---|---|---|---|---|---|
| Region | Gender | Before | During | Diff. | Before | During | Diff. |
| Eastern | Women | 91.67 | 88.89 | -2.78 | 89.81 | 89.81 | 0 |
| Men | 100 | 96.55 | -3.45 | 89.87 | 89.87 | 0 | |
| Southern | Women | 100 | 100 | 0 | 93.94 | 55.56 | -38.38*** |
| Men | 100 | 100 | 0 | 98.18 | 56.36 | -41.82** | |
**, *** p<0.05 and p<0.01 respectively.