Table 2.
Country-level firm characteristics and impacts of COVID-19.
| Characteristics of sampled MSMEs |
|||||||
|---|---|---|---|---|---|---|---|
| Country | n | COVID-19 Cases (per 100,000 people) | Decrease in mobility to food stores & pharmacies | Employees | Pct. female owned | Main sectors (% of firms) | Main value chains (% of firms) |
| Bangladesh | 54 | 47.02 | −53% | <10 (52%), 11–50 (31%) | 37% | Distribution (72%), Processing (52%), retail (38%), crop farming (31%) | Grains (48%), inputs (39%), fruit (37%), eggs (30%) |
| Kenya | 54 | 7.30 | −31% | <10 (63%), 11–50 (31%) | 26% | Processing (67%), crop farming (28), livestock farming (19%), aggregation (19%) | Vegetables (31%), grains (30%), dairy (22%), roots/tubers (20%) |
| Nigeria | 51 | 7.62 | −45% | <10 (39%), 11–50 (49%) | 33% | Processing (67%), distribution (39%), crop farming (33%) | Vegetables (45%), grains (43%), roots/tubers (29%) |
| Indonesia | 36 | 37.39 | −23% | >10 (75%), 11–50 (22%) | 19% | Distribution (53%), processing (25%), crop farming (14%) | Fish (78%), vegetables (17%), grains (8%) |
| Sri Lanka | 33 | 29.77 | −83% | <10 (45%), 11–50 (30%) | 39% | Processing (79%), distribution (39%), retail (24%) | Fruit (33%), grains (27%), vegetables (24%), nuts/seeds (21%) |
| Rwanda | 29 | 17.82 | −63% | <10 (48%), 11–50 (38%) | 24% | Processing (41%), crop farming (34%), livestock farming (21%) | Grains (34%), vegetables (34%), fruit (31%), eggs (24%) |
| Mozambique | 22 | 2.50 | −39% | <10 (59%), 11–50 (32%) | 23% | Distribution (45%), livestock farming (41%), processing (32%) | Eggs (41%), meat/poultry (36%), vegetables (27%), legumes (23%), fish (23%) |
| Tanzania | 20 | 8.28 | −23% | <10 (70%), 11–50 (25%) | 26% | Processing (80%), distribution (25%); crop farming, aggregation, and advisory services (each 20%) | Grains (60%), roots/tubers (35%), vegetables (20%), fruit (20%) |
| Madagascar | 11 | 4.75 | NA | <10 (45%), 11–50 (36%) | 36% | Processing (91%), retail (36%), distribution (27%) | Grains, nuts/seeds, fruit (each 27%); legumes, fish, vegetables (each 18%) |
| Myanmar | 11 | 2.78 | −41% | 11–50 (36.4%), 51–300 (55%) | 18% | Processing (73%), distribution (36%), retail (36%) | Grains (27%); roots/tubers, nuts/seeds, dairy, fruit, beverages, ready-to-eat foods (each 18%) |
| Pakistan | 11 | 74.42 | −48% | <10 (27%); 11–50 (64%) | 0% | Processing (64%); distribution, retail, and advisory services (each 27%) | Fruit (63%), grains (45%), meat/poultry (36%), vegetables (36%) |
| Zambia | 11 | 5.43 | −10% | <10 (54%), 11–50 (36%) | 36% | Processing (64%), distribution (27%) | Grains (64%), legumes (54%); roots/tubers, nuts/seeds, vegetables (each 27%) |
| Malawi | 10 | 1.93 | NA | <10 (50%), 11–50 (30%) | 30% | Processing (80%), crop farming (30%), livestock farming (30%) | Grains (50%), fruit (50%), roots/tubers (40%), meat/poultry (40%) |
| Ethiopia | 4 | 1.16 | NA | ||||
| Lao PDR | 4 | 2.65 | −29% | ||||
| Burundi | 3 | 1.30 | NA | ||||
| Cambodia | 3 | 7.40 | −18% | ||||
Note: due to small sample size, information on employees, sector and value chains is not included for Ethiopia, Lao PDR, Burundi, and Cambodia. Firms can be active in more than one sector and more than one value chain. Mobility data comes from (Google LLC, 2020); case data from (WHO, 2020), refers to cases reported through 30 April 2020. NA = not available.