2023
DOI: 10.22434/ifamr2022.0120
|View full text |Cite
|
Sign up to set email alerts
|

COVID-19 disruptions and pivoting in SMEs in the hidden middle of Kenya’s potato and fish value chains

Abstract: Small and medium enterprises (SMEs) in Kenya were severely affected by the COVID-19 pandemic and restrictions put in place to contain it. This study assesses the impact of these restrictions on the midstream of the potato and fish value chains, with a focus on traders and processors, and investigates the short- and longer-term responses and ‘pivoting’ strategies deployed by these firms. Longitudinal data were collected from 937 respondents with three recall periods: (1) the pre-pandemic situation (2019); (2) t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 32 publications
0
2
0
Order By: Relevance
“…Research is emerging on fish-capture and aquaculture clusters and rapid development in domestic supply in SSA, such as in Kenya (Naziri et al, 2023). In Nigeria, domestic fish output in tons (per FAOSTAT data) grew 4.1-fold (twice the pan-Africa rate).…”
Section: Spontaneous Clusters Of Fish Farming In Nigeria Focused On D...mentioning
confidence: 99%
“…Research is emerging on fish-capture and aquaculture clusters and rapid development in domestic supply in SSA, such as in Kenya (Naziri et al, 2023). In Nigeria, domestic fish output in tons (per FAOSTAT data) grew 4.1-fold (twice the pan-Africa rate).…”
Section: Spontaneous Clusters Of Fish Farming In Nigeria Focused On D...mentioning
confidence: 99%
“…Second, studies have examined shocks, especially individual shocks like COVID-19, on particular supply chain actors, such as traders. An example is Naziri et al (2023) analyzing the impact of COVID-19 restrictions on traders and processors in potato and fish value chains in Kenya. They assumed one element of vulnerability that all actors were affected by the shock and measured another element, how much the shock hurt their incomes and whether and how they coped with the shock.…”
Section: Introductionmentioning
confidence: 99%