Sustainable land management practices, off-farm work participation and vulnerability among farmers in Ghana: Is there a nexus?

Issahaku, Gazali; Abdul‐Rahaman, Awal

doi:10.1016/j.iswcr.2018.10.002

Cited by 47 publications

(38 citation statements)

References 30 publications

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“…This is not surprising as education is a powerful human capital that makes people aware of the series of opportunities for generating income. This finding is in line with the result of a similar study in Northern Ghana by Issahaku and Abdul-Rahaman (2019) and Asravor (2018) . Similarly, the number of years of crop farming reduces the likelihood of participation in non-farm economic activities, as shown by the negative and significant estimate.…”

Section: Resultssupporting

confidence: 93%

“…This study followed the economic theory of farm households involved mainly in rice production but can also allocate part of their time for other non-farm income-generating activities. The study employ the time allocation framework applied in the study of Issahaku and Abdul-Rahaman (2019) . The central notion of this framework stemmed from the fact that farm households maximize their utility by allocating their time to three key activities; farm work, non-farm work, and leisure.…”

Section: Methodsmentioning

confidence: 99%

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Climate change adaptation strategies by smallholder farmers in Nigeria: does non-farm employment play any role?

Danso-Abbeam

Ojo

Baiyegunhi

et al. 2021

Heliyon

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Non-farm employment in agrarian communities in developing countries has received a lot of attention. However, its role in implementing climate change adaptation strategies is rarely discussed. This study employs a crosssectional data to examine whether rural households in Southwest Nigeria are increasing the extent of climate change adaptation practices through their participation in non-farm employment. To account for selectivity bias, the study used endogenous treatment effect for count data model (precisely Poisson) augmented with the inverse probability-weighted-regression-adjustment (IPWRA) estimator. Both estimators found that rural non-farm jobs increase smallholder farmers' adaptive capacities and that participants would have used less adaptation techniques if they had not participated in non-farm work. Efforts to boost rural development must provide more employment opportunities for farmers, particularly during the off-cropping time. This will help farmers improve their ability to adopt more climate change adaptation strategies and, consequently increase farm productivity.

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Section: Resultssupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Climate change adaptation strategies by smallholder farmers in Nigeria: does non-farm employment play any role?

Danso-Abbeam

Ojo

Baiyegunhi

et al. 2021

Heliyon

View full text Add to dashboard Cite

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“…Thus, adopting a switching probit regression model which accounts for this selection bias is preferable to obtain better results. A number of studies have applied the same model for impact analysis (Aakvik, Heckman, & Vytlacil, 2000;Démurger & Li, 2013;Wossen et al, 2017;Issahaku & Abdul-Rahaman, 2019). Thus, to account for possible endogeneity problem, switching probit model was used to estimate the impact of the FGUYS program on youth agribusiness engagement.…”

Section: Empirical Model: Endogenous Switching Probit Regression Modelmentioning

confidence: 99%

Impact of Agricultural Programs on Youth Engagement in Agribusiness in Nigeria: A Case Study

Adeyanju¹,

Mburu²,

Mignouna³

2020

JAS

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Using the case of Fadama Graduate Unemployed Youth and Women Support (FGUYS) program, this study assessed the impact of agricultural programs on youth engagement in agribusiness in Nigeria. A total of 977 respondents comprising of 455 participants of the program and 522 non-participants were sampled across three states in Nigeria. Data were analysed using Descriptive and Endogenous Switching Probit Regression (ESPR) Model. The result showed that participation in the program was influenced by age, years of formal education, perception of agricultural programs and type of employment. Furthermore, the results showed a positive impact of the program on youths’ likelihood to engage in agribusiness. The study recommends the need to invest more in agricultural programs such as the case study since it has desirable economic outcome for young people. Also, there is a need to improve the general outlook of agriculture such that it becomes more attractive to young people.

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“…Correspondingly, in sub-Sahara Africa (SSA), there is a high incidence of food insecurity where rain-fed subsistence agriculture remains a predominant livelihood strategy for most people residing in the drylands ( Shahid and Al-Shankiti, 2013 ; Barbier and Hochard, 2018 ). These regions experience erratic rainfall, recurrent dry spells, increasing temperatures, and infertile lands characterized by; diminishing organic matter and reduced biological activity, and this poses limitations for intensifying agricultural productivity ( Bradford et al., 2017 , 2019 ; Issahaku and Abdul-Rahaman, 2019 ). Upper Eastern Kenya faces similar challenges of soil moisture stress, declining soil fertility, and reduced agricultural yields promoting various research and development efforts on soil and water conservation ( Mucheru-Muna et al., 2010 ; Ngetich et al., 2014 ; Kimaru-Muchai et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Gender-specific determinants of Zai technology use intensity for improved soil water management in the drylands of Upper Eastern Kenya

Ndeke

Mugwe

Mogaka

et al. 2021

Heliyon

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Degraded landscapes and soil water stress are long-standing problems to smallholder agriculture in the drylands. Despite the important roles of zai technology in restoring degraded landscapes and improving agricultural productivity, the technology is yet to be adopted to its fullest extent. This can be attributed to gender-linked disparities in agricultural technology utilization. The study, therefore, sought to determine gender-specific determinants of zai technology choice and use-intensity. A multistage sampling technique was employed in randomly selecting 133 female-headed households and 267 male-headed households in Tharaka South sub-county. Quantitative data were collected in a cross-sectional survey using an interviewer-administered questionnaire. Using sex-disaggregated data, Chi-square and t-test statistic were employed to test the statistical significance of dummy and mean value of continuous variables, respectively. Gender specific determinants of zai technology choice and use-intensity were determined using the Heckman-two-step econometric model. The results revealed that, more women farmers (44%) were using zai technology as compared to men (38%). Among women farmers, total cultivated land, access to animal-drawn farm implements, and group membership had an influence on zai technology choice. For men, total cultivated land, group membership and access to extension services positively influenced choice of zai technology. With regard to zai technology use-intensity, total land cultivated, livestock densities, group membership and frequency of trainings on soil and water management were important determinants among women farmers. For men, zai technology use-intensity was determined by total cultivated land and farmers’ perceptions on soil erosion. We recommend that, gender-sensitive farm-level policies oriented towards farmer socioeconomic profiles are important deliberations towards choice and intense application of soil and water conservation strategies such as the zai technology.

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Sustainable land management practices, off-farm work participation and vulnerability among farmers in Ghana: Is there a nexus?

Cited by 47 publications

References 30 publications

Climate change adaptation strategies by smallholder farmers in Nigeria: does non-farm employment play any role?

Climate change adaptation strategies by smallholder farmers in Nigeria: does non-farm employment play any role?

Impact of Agricultural Programs on Youth Engagement in Agribusiness in Nigeria: A Case Study

Gender-specific determinants of Zai technology use intensity for improved soil water management in the drylands of Upper Eastern Kenya

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