Analysis of the determinants of farmer participation in sorghum farming among small-scale farmers in Siaya County, Kenya

Okeyo, Samuel O.; Ndirangu, Samuel Njiri; Isaboke, Hezron N.; Njeru, Lucy K.

doi:10.1016/j.sciaf.2020.e00559

Cited by 13 publications

(14 citation statements)

References 33 publications

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“…The findings were consistent with those of Alwang et al. (2019) and Okeyo et al. (2020) , who reported that educated farmers are more knowledgeable in predicting and analysing agricultural-related risks and uncertainties associated with biophysical and agro-ecological conditions.…”

Section: Discussionsupporting

confidence: 90%

“…We established a negative relationship between years of education and zai technology use-intensity, suggesting that more educated farmers were more inclined towards non-farming activities. The findings were consistent with those of Alwang et al (2019) and Okeyo et al (2020), who reported that educated farmers are more knowledgeable in predicting and analysing agricultural-related risks and uncertainties associated with biophysical and agro-ecological conditions. In addition, educated farmers may opt-out from farming, taking up secondary non-farming opportunities that are better rewarding, secure, and offer a wide range of alternatives.…”

Section: Determinants Of Zai Technology Choice Among Male-headed Households and Female-headed Householdssupporting

confidence: 90%

“…(2020) who found information accumulation to have a positive and significant impact on technology adoption. In another study by Okeyo et al. (2020) also found that farmer training positively influenced improved sorghum varieties' adoption among smallholders.…”

Section: Discussionmentioning

confidence: 90%

“…The results are consistent with Li et al (2020) who found information accumulation to have a positive and significant impact on technology adoption. In another study by Okeyo et al (2020) also found that farmer training positively influenced improved sorghum varieties' adoption among smallholders. Further, he reported that, trained farmers are better informed on varying production patterns under changing agroclimatic conditions and often they prefer climate smart agriculture.…”

Section: Determinants Of Zai Technology Choice Among Male-headed Households and Female-headed Householdsmentioning

confidence: 90%

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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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Section: Discussionsupporting

confidence: 90%

Section: Determinants Of Zai Technology Choice Among Male-headed Households and Female-headed Householdssupporting

confidence: 90%

Section: Discussionmentioning

confidence: 90%

Section: Determinants Of Zai Technology Choice Among Male-headed Households and Female-headed Householdsmentioning

confidence: 90%

See 2 more Smart Citations

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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“…Yitayew, Abdulai, Yigezu, Deneke and Kassie (2021) also reported that access to extension services positively impacted on the farmers' decision to adopt new wheat variety in Ethiopia. Extension services would include training programs on improved varieties to increase productivity, and consequently enhance adoption (Okeyo et al, 2020b). The results were also in line with Folefack, Tsafack and Kamajou (2018), that extension agents played a positive role in promoting adoption of goat keeping among non-pastoral farmers in Cameroon.…”

Section: Factors Influencing Adoption Of Improved Macadamia Varietiessupporting

confidence: 82%

Factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya

Njiru¹,

Mogaka²,

Ndirangu³

et al. 2021

jae

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The study investigated the factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya. Data was collected from a sample of 384 small-scale farmers obtained through multistage sampling procedure in ten sub-locations. Binary Logit model was used to determine the effect of selected institutional and socio-economic factors on adoption of improved cultivars of macadamia. The results revealed that education level (wald=26.160), access to extension services (wald=6.246) and farm size (wald=4.271) had significant positive influence on adoption of improved cultivars of macadamia while age of the farmer (wald=5.235) and market distance (wald=5.519) had a negative influence on the same. There is need to encourage the youth to embrace macadamia farming and to develop smart marketing strategies to promote adoption of improved cultivars.

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What factors determine the conversion of wild medicinal and aromatic resources to cultivated species? An intention and behavior analysis

Abadi

Azizi-Khalkheili

Morshedloo

2022

Environ Dev Sustain

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Analysis of the determinants of farmer participation in sorghum farming among small-scale farmers in Siaya County, Kenya

Cited by 13 publications

References 33 publications

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

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

Factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya

What factors determine the conversion of wild medicinal and aromatic resources to cultivated species? An intention and behavior analysis

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