Demand for Agricultural Extension Services Among Small-Scale Maize Farmers: Micro-Level Evidence from Kenya

Gido, Eric Obedy; Sibiko, Kenneth Waluse; Ayuya, Oscar Ingasia; Kanyua, Mwangi J.

doi:10.1080/1389224x.2013.872045

Cited by 46 publications

(36 citation statements)

References 8 publications

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“…This category of farmers avoided taking the risk of using this package with increase in their years of education. Similarly, [33] argues that higher levels of education tend to build the innovativeness and ability to assess risks by farmers for proper farm adjustments.…”

Section: Determinants Of Choice Of Specific Csa Packagesmentioning

confidence: 99%

Effect of climate-smart agricultural practices on household food security in smallholder production systems: micro-level evidence from Kenya

2018

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Background: Climate change in Sub-Saharan Africa has had a negative impact on agricultural production leading to food insecurity. Climate-smart agricultural (CSA) practices have the potential to reverse this trend because of its triple potential benefits of improved productivity and high income, reduction or removal of greenhouse gases and improved household food security. Hence, we empirically find the determinants of choice and the effect of CSAs on household food security among smallholder farmers in Kenya. Methods: Primary data were collected in Teso North Sub-county, Busia County of Kenya, among smallholder farmers. CSA practices used by farmers were grouped by principal component analysis and linked to food security by multinomial endogenous switching regression model. Results: With the application of principal component analysis, we clustered the CSA practices into 4 components: crop management, field management, farm risk reduction and soil management practices. We find that the greatest effect of CSA adoption by smallholder farmers on food security is when they use a larger package that contains all the four categories of practices. Adopters of this package were 56.83% more food secure in terms of HFCS and 25.44% in terms of HDDS. This package mitigates upon the impacts of climate change as well as enhancing nutrient availability in the soils for higher productivity. Further, adoption of this package was positively influenced by gender of the household head, farm size and value of productive farm assets. Conclusions: CSAs have the potential to alleviate food insecurity among smallholder farmers if used in combinations and to a larger extend. To enhance adoption, land fragmentation should be discouraged through civic education and provision of alternative income-generating activities for farmers to benefit when practiced on relatively bigger land. Farmers should be sensitized on the need to invest in farm productive assets in order to absorb the risks of climate change while enhancing adoption of CSA practices.

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Section: Determinants Of Choice Of Specific Csa Packagesmentioning

confidence: 99%

Effect of climate-smart agricultural practices on household food security in smallholder production systems: micro-level evidence from Kenya

2018

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“…The ZINB model has previously been adopted in studies that involved count data analysis (Yau et al 2003;Sheu et al 2004;Minami et al 2007;Williams 2012;Gido et al 2015). Explanatory variables used in analyzing the determinants of the consumption intensity of leafy AIVs in rural and urban dwellers (Table 1) were derived from previous studies (Modi et al 2006;Dovie et al 2007;Vorster et al 2007;Amaza 2009;Faber et al 2010;Weinberger et al 2011;Matenge et al 2012;Ayanwale et al 2016;Gido et al 2017).…”

Section: Econometric Estimation Of Consumption Intensity Of Leafy Aivsmentioning

confidence: 99%

Consumption intensity of leafy African indigenous vegetables: towards enhancing nutritional security in rural and urban dwellers in Kenya

et al. 2017

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Estimation of consumption intensity of African indigenous vegetables (AIVs) is important to understand how their utilization can be enhanced at the household level. The study evaluated consumption intensity of leafy AIVs using the zero-inflated negative binomial regression model. A multistage sampling technique was used to select a random sample of 450 rural and urban respondents, and data were collected using a pre-tested semi-structured questionnaire. The findings revealed that consumption intensity of leafy AIVs were higher in rural than in urban dwellers with a mean of four and two times a week, respectively. Age, occupation, household size, diversity of AIV leaves, market distance, awareness of AIV's medicinal benefits and proportion of income allocated to food purchases significantly influenced consumption intensity of leafy AIVs. Strategies that could promote the transfer of AIVs' traditional knowledge to uninformed consumer segments such as male and younger decision-makers could increase the consumption intensity of leafy AIVs in rural dwellers. Similarly, the consumption intensity of leafy AIVs in urban dwellers could increase through the promotion of the value addition activities of sorting and plucking vegetable leaves from their stalks before marketing. Finally, in both rural and urban dwellers, promotion of AIV diversity in food systems through diversified production and well-coordinated market supply chains could increase consumption intensity of leafy AIVs.

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“…Unlike ZIP, over-dispersion is also allowed in ZINB, that is, when the conditional variance exceeds the conditional mean of the distribution. The ZINB models have been used to explain determinants of count outcomes in a number of empirical studies in different contexts [56–58].…”

Section: Analytical Frameworkmentioning

confidence: 99%

Does caste determine farmer access to quality information?

Krishna

Aravalath

Vikraman³

2019

PLoS ONE

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This paper explores the social inclusiveness of agricultural extension services in India. We estimate the probability and frequency of farmers’ access to extension services and resulting changes in crop income across different caste groups. The literature suggests that caste-based social segregation manifests in various spheres of life, and perpetuates economic inequality and oppression. An econometric analysis of nationally-representative data from rural India verifies this with respect to the agricultural sector. Farmers belonging to the socially-marginalized castes are found to have a lower chance of accessing the public extension services, primarily due to their inferior resource-endowment status. Contacting extension agents at least once increased the average annual crop income by about 12 thousand Indian rupees per household, which is equivalent to 36% of the annual crop income of those without access to extension services. There exists significant impact heterogeneity. Farmers from the socially-marginalized castes hardly benefited from accessing the extension services. Based on these observations, we have developed a number of policy recommendations that could improve the social inclusiveness of agricultural development strategies in rural India.

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Demand for Agricultural Extension Services Among Small-Scale Maize Farmers: Micro-Level Evidence from Kenya

Cited by 46 publications

References 8 publications

Effect of climate-smart agricultural practices on household food security in smallholder production systems: micro-level evidence from Kenya

Effect of climate-smart agricultural practices on household food security in smallholder production systems: micro-level evidence from Kenya

Consumption intensity of leafy African indigenous vegetables: towards enhancing nutritional security in rural and urban dwellers in Kenya

Does caste determine farmer access to quality information?

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