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1 – 2 of 2Catherine Mawia Mwema, Netsayi Noris Mudege and Keagan Kakwasha
While the literature has highlighted the impacts of COVID-19, there is limited evidence on the gendered determinants of the impact of COVID-19 among small-scale rural traders in…
Abstract
Purpose
While the literature has highlighted the impacts of COVID-19, there is limited evidence on the gendered determinants of the impact of COVID-19 among small-scale rural traders in developing and emerging economies.
Design/methodology/approach
Cross-border fish traders who had operated before and during the COVID-19 pandemic were interviewed in a survey conducted in Zambia and Malawi. Logistic regressions among male and female traders were employed to assess the gendered predictors.
Findings
Heterogeneous effects in geographical location, skills, and knowledge were reported among male cross-border traders. Effects of household structure and composition significantly influenced the impact of COVID-19 among female traders. Surprisingly, membership in trade associations was associated with the high impact of COVID-19.
Research limitations/implications
Due to the COVID-19 pandemic and the migratory nature of cross-border fish traders, the population of cross-border fish traders at the time of the study was unknown and difficult to establish, cross-border fish traders (CBFT) at the landing sites and market areas were targeted for the survey without bias.
Originality/value
This paper addresses a gap in the literature on understanding gendered predictors of the impacts of COVID-19 among small-scale cross-border traders.
Details
Keywords
Moses Waithanji Ngware, Moses Oketch, Alex Chika Ezeh and Netsayi Noris Mudege
The purpose of this paper is to examine household characteristics and schooling decisions in terms of enrollment and type of school in an urban setting in Nairobi.
Abstract
Purpose
The purpose of this paper is to examine household characteristics and schooling decisions in terms of enrollment and type of school in an urban setting in Nairobi.
Design/methodology/approach
The paper uses a cross‐sectional data set collected in 2005. The sample comprises 7,475 primary school‐aged children. A probit model was estimated to show what influences decisions at household level.
Findings
Analysis shows that different household and individual attributes motivate different decisions. A considerable proportion (40 per cent) of children from the poorest quintile attends non‐public schools compared to 34 per cent from the richest quintile. The findings reveal that better‐off households are more represented in the free primary education (FPE) programme. The predicted probability of a decision to attend a public school for a primary school‐age child increases as the household wealth increases.
Practical implications
The paper concludes that poorer households are least attending and may be excluded from free public schools.
Originality/value
The paper demystifies the notion that introduction of FPE in developing countries is a pro‐poor policy.
Details