Farmers’ participation in extension programs and technology adoption in rural Nepal: a logistic regression analysis

Suvedi, Murari; Ghimire, Raju; Kaplowitz, Michael D.

doi:10.1080/1389224x.2017.1323653

Cited by 141 publications

(111 citation statements)

References 37 publications

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“…In addition, larger households have more ability to participate in extra activities as they divide their manpower into various activities. Therefore, it is expected that, all else being equal, the larger the household size, the greater the probability of participation in technology adoption (Suvedi et al 2017).…”

Section: Discussionmentioning

confidence: 99%

“…When given a choice, individuals usually choose to interact and communicate with a group with similar beliefs, education, and social status (Kumar et al,2018). Therefore, farmers' participation in groups exposes them to various information sources which enables them to analyze risks and benefits and take advantage of new innovations (Mignouna et al 2011;Ghimire and Huang 2015;Suvedi et al 2017). Some of the benefits accrued by members of groups/associations include linkages and access to training and extension providers, better access to markets for their selling products, access to affordable finance and credit facilities, affordable sourcing of fingerlings and quality feeds, construction of ponds, and provision of fish storage services.…”

Section: Discussionmentioning

confidence: 99%

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Predicting uptake of aquaculture technologies among smallholder fish farmers in Kenya

et al. 2019

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In Africa, many governments and development agencies have promoted aquaculture as a panacea for household food security, rural development, and poverty reduction. However, aquaculture production in the continent remains low despite significant investments in research and technology development. While numerous initiatives have been directed at technological innovation and transfer, their present scale of uptake is very slow and therefore inadequate to achieve transformational change envisaged in the 2030 Agenda for sustainable development. In this paper, we aim to (1) critically analyze the factors that influence fish farmer's perceptions, attitudes, and behaviors toward technology adoption; and (2) to determine the impacts of technology adoption on farmer's livelihoods. Primary data were collected using a selfadministered digitized questionnaire to 331 randomly selected farmers in Kenya. Multivariate logistic regression models were used to analyze data. Results revealed that variables including secondary education, diversified on-farm activities, farm size, production levels, attendance of extension training, ease of understanding, and ease of handling technologies were positive and significant predictors of aquaculture technology adoption. However, 30% of fish farmers were categorized as high adopters of novel aquaculture technologies, implying that there are gaps in technical skills hindering adoption of innovative technologies and best management practices. To facilitate learning and uptake of technologies and good practices by farmers, a range of aquaculture-related extension and communication materials, including posters, hard copy information leaflets and brochures of recipes in appropriate languages, short video presentations, and radio features, should be commissioned to support the smallholder farmers.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Predicting uptake of aquaculture technologies among smallholder fish farmers in Kenya

et al. 2019

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“…A review of recent studies (Omotayo, Chikwendu, and Adebayo 2001;Koyenikan 2008;Iwuchukwu and Igbokwe 2012;Akinbamowo 2013;Obiora and Emodi 2013;Hamisu et al 2017) and a report by FMARD (2012) suggests that several factors are responsible for the ineffectiveness and limited impact of agricultural extension policy in Nigeria. These factors include, for instance, absence of a legislated extension policy and policy inconsistency (Koyenikan 2008;FMARD 2012;Akinbamowo 2013;Obiora and Emodi 2013), funding complications and weak diversification (Iwuchukwu and Igbokwe 2012;Hamisu et al 2017), a low level of participation by the private sector in the delivery of extension services (Omotayo, Chikwendu, and Adebayo 2001;Iwuchukwu and Igbokwe 2012), weak synergy across government levels (FMARD 2012;Inegbedion et al 2019), weak capacity and technical know-how of extension personnel (Issa 2013;Suvedi, Ghimire, and Kaplowitz 2017) and inadequate manpower for the effective delivery of services (FMARD 2012; Obiora and Emodi 2013).…”

Section: Key Challenges Impeding Effective Implementation Of Agricultmentioning

confidence: 99%

National extension policy and state-level implementation: The case of Cross River State, Nigeria

Ogunniyi¹,

Babu²,

Balana³

et al. 2020

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The International Food Policy Research Institute (IFPRI), a CGIAR Research Center established in 1975, provides evidence-based policy solutions to sustainably end hunger and malnutrition and reduce poverty. The Institute conducts research, communicates results, optimizes partnerships, and builds capacity to ensure sustainable food production, promote healthy food systems, improve markets and trade, transform agriculture, build resilience, and strengthen institutions and governance. Gender is considered in all of the Institute's work. IFPRI collaborates with partners around the world, including development implementers, public institutions, the private sector, and farmers' organizations, to ensure that local, national, regional, and global food policies are based on evidence.

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“…Studies have shown that farmers with just a few years of basic schooling are more likely to adopt and correctly apply agricultural innovations (Närman, 1991, Suvedi, Ghimire, Kaplowitz, 2017. Though many studies find positive impact of education on farmers' performance, a few have found no significant effect (such as reviews by Wei (1999) and Reimers and Klasen (2013).…”

Section: Relevant Literaturementioning

confidence: 99%

The Complementarity of Education and Use of Productive Inputs Among Smallholder Farmers in Africa

Kirui

2019

SSRN Journal

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This study seeks to assess the complementarity of education and use of use of agricultural inputs-improved seeds, fertilizers, access to credit facilities), and the incremental effects of education on intermediate to longer-term economic outcomes (consumption expenditure and poverty) among smallholder farmers in four countries in SSA Africa (Ethiopia, Malawi, Nigeria and Tanzania). We apply a multinomial endogenous treatment model with education as our 'treatment' variable with four possible levels (no-schooling, primary, secondary, post-secondary). The empirical model jointly estimates treatment and selection effects and by this corrects for selection into one or the other education level. Using nationally representative LSMS panel data allows us to comprehensively assess the impact of education on the outcome variables. Overall results suggest that higher education (secondary and post-secondary level) significantly increases the use of improved seed varieties and fertilizers, access to credit services, and per capita consumption expenditure and consequently reduces household poverty. Specifically, findings suggests that post primary education (secondary and post-secondary levels) is by far the most important factor in use of productive inputs than mere introductory literacy and primary learning. These findings augment the conclusion that schooling have positive impacts for the farmers and their households' well-being. Our findings are of policy relevance to most SSA countries currently grappling with rising urbanization, high youth unemployment, and acute skills shortage.

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Farmers’ participation in extension programs and technology adoption in rural Nepal: a logistic regression analysis

Cited by 141 publications

References 37 publications

Predicting uptake of aquaculture technologies among smallholder fish farmers in Kenya

Predicting uptake of aquaculture technologies among smallholder fish farmers in Kenya

National extension policy and state-level implementation: The case of Cross River State, Nigeria

The Complementarity of Education and Use of Productive Inputs Among Smallholder Farmers in Africa

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