Determinants of multiple agricultural technology adoption: evidence from rural Amhara region, Ethiopia

Zegeye, Mesele Belay; Fikire, Abebaw Hailu; Meshesha, Getamesay Bekele

doi:10.1080/23322039.2022.2058189

Cited by 14 publications

(6 citation statements)

References 16 publications

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“…Dairy production in Ethiopia comprises mainly smallholder farming systems managing cattle in traditional ways and research on these systems offers an opportunity for developing recommendations that can lead to livelihood improvement at household, community and national scales (Mekonnen et al, 2010). The adoption of multiple technologies in smallholder dairy farming remains a promising strategy in Ethiopia to improve farm productivity, farm incomes and reduce poverty improving food security and ensuring environmental sustainability (Zegeye et al, 2022). Dairy production technologies such as breed improvement, milking, forage and feed conservation, biosecurity, and animal health and food safety interventions have the potential to improve milk yields and quality of production, reduce disease prevalence and improve food safety (Mekonnen et al, 2010; Kumar et al, 2016;Burkitbayeva et al, 2019;Janssen and Swinnen, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…The adoption of modern dairy technologies such as use of improved breeds, improve forage, promoting animal health and hygiene is important to drive productivity, farmer's profits, welfare of poor farmers and is promising as a driver of rural development and poverty reduction (Janssen and Swinnen, 2019). There is thus a need for policies that increase technology adoption and agricultural productivity which can significantly reduce poverty (Zegeye et al, 2022). To realize significant productivity gains multiple adoption of advanced agricultural technologies and better production practices by small holder farmers should be a priority (Ojango et al, 2017), as a pathway out of poverty and food insecurity (Mekonnen et al, 2010;Kebebe, 2019).…”

mentioning

confidence: 99%

“…Therefore, smallholder dairy production will increasingly become important for the improvement of the livelihoods of poor rural communities while contributing to food security (Mekonnen et al, 2010). The adoption of modern agricultural technologies in smallholder farming is a promising strategy in Ethiopia for improving the welfare of rural households, reducing poverty, improving food security and ensuring environmental sustainability (Zegeye et al, 2022).…”

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confidence: 99%

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Adoption of dairy technologies in smallholder dairy farms in Ethiopia

Korir

Manning

Moore

et al. 2023

Front. Sustain. Food Syst.

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The adoption of modern agricultural technologies in Ethiopia’s dairy production system remains underutilized and under-researched yet it is a promising sector to aid in reducing poverty, improving the food security situation and the welfare of rural households, and in ensuring environmental sustainability. This paper uses the Negative Binomial regression model to examine determinants of multiple agricultural technology adoption in the Addis Ababa and Oromia regions of Ethiopia. Data was collected from 159 smallholder dairy farms in Ethiopia’s Addis Ababa and Oromia regions exploring 19 technologies used by the farmers during the study period. The findings show that farm location and herd size impact adoption decisions. Increasing herd size is associated with increased uptake of multiple technologies. Further, as farmer education level increases the more likely farmers are to adopt multiple technologies. The increase in the number of female workers is positively associated with the adoption of multiple dairy technologies. In terms of farmers’/workers’ years of experience, those with no years of work experience are less likely to have adopted multiple technologies than those with more than 5 years of experience. However, this could be due to a number of factors where experience stands as a proxy value. Trust in information from government agencies was associated with a higher propensity to adopt multiple dairy technology as was farmer perception of fellow farmers as peers compared to those who perceive them as competitors. This is an important finding as it may help policymakers or institutions explore knowledge exchange and diffusion of innovation strategies tailored to specific farming and community situations. Studies have shown that farmers within a social group learn from each other more fully about the benefits and usage of new technology. These findings are of value in future technology adoption studies, particularly which factors influence the intensity of adoption of multiple technologies by smallscale producers.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Adoption of dairy technologies in smallholder dairy farms in Ethiopia

Korir

Manning

Moore

et al. 2023

Front. Sustain. Food Syst.

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“…Of these, the most commonly mentioned factors were finance, gender, age, education, size of the production unit, and access to extension. One case is the adoption of agricultural innovations in Ethiopia, where farmers with the following characteristics were more likely to adopt innovations: higher level of education, larger families, more participation in activities outside their production unit, more livestock, access to extension services, advisory services, credit, optimal roads, production units close to their homes, and less income from remittances (Zegeye et al, 2022). In another study carried out in China, the authors found an increase in the adoption rate of innovations for precision fertilization when extension services based on information and communication technologies were used (Li et al, 2022); in a study on adoption of irrigation systems in Lebanon, the authors found that an increase in risk perception reduced the adoption of innovations (Sabbagh and Gutierrez, 2022).…”

Section: Theoretical and Conceptual Frameworkmentioning

confidence: 99%

Is there a “made in Mexico” model for innovation transfer or diffusion among farmers?

Figueroa-Rodríguez,

García Vázquez

2023

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Objective: To determine the existence or absence of a model or several models for the transfer of innovations that have been developed and evaluated in Mexico. Design/methodology/approach: Using the SCOPUS® metadatabase, a search was conducted with the words innovation AND farmer AND Mexico. It resulted in 70 articles, of which only 35 met the selection criteria. Results: The articles used concepts, frames of reference, and, to a lesser degree, theories to support their research. The highest number of published cases dealt with the MasAgro technological hub model in maize and the GGAVATT model for group-oriented work in livestock. Limitations on study/implications: Using a metadata base that is not open access limits the results, since technical reports, books, and other documents that might otherwise enrich the discussion are left aside. Findings/conclusions: There is still much to be theorized in order to create new models adapted to other product systems that could promote technology transfer from the institutions of the sector and researchers to farmers.

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“…According toZegeye et al (2022), farmers' behaviour towards multiple choices of technology could be shown also in their risk-bearing capacity or behaviour. A small-scale farmer is assumed to be rational in his farm decision and is risk averse because he is a resource-poor entrepreneur.…”

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confidence: 99%

Farm Labour Preferences among Small-scale Arable Crop Farmers in Akwa Ibom State, Southern Nigeria

AKPAN,

NKANTA,

UDOH

2023

MAU J Agr Nat

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Human labour is critical in the survival and sustainability of the small-scale farm production system in developing countries. Following the imperfection in the rural labour market and the mounting rural poverty, labour demand among resource-poor small-scale farmers has shifted from its traditional surplus supply market pattern to a more competitive labour market. In Nigeria for instance, human labour is not readily available to farmers in most rural farming communities compared to the previous decades. Considering the fact that more than 60% of agricultural production is done by small-scale farmers in the country; there is an overwhelming need to identify ways of increasing labour utilization by the small-scale farmers in the southern region of Nigeria. Premised on these facts, the study primarily examined the prominent labour sources available to small-scale cassava-based farmers and identified determinants of their demand or adoption. The study was conducted in Akwa Ibom State in the southern region of Nigeria. A total of two hundred (200) cassava-based farmers were randomly sampled using a structured questionnaire. Descriptive and multinomial Logit models were employed to analyse the data and objectives of the study. The findings revealed hired labour, family labour and group labour as the major human labour sources for the small-scale farmers in the region. Also, farmers’ age, educational attainment, farm income, farming experience, non-farm income, farm size and social capital formation were identified as factors that increase the probability of adopting hired labour relative to the family labour in the region. Similarly, farmers’ age, education attainment, social capital formation, farmers’ sex and non-farm income were found to increase the probability of using group labour relative to the family labour source. However, household size impacted negatively on the probability of using both hired and group labour relative to family labour. It is recommended that farmers’ formal education, farm income and social capital formation should be enhanced to help them in making efficient choices on labour demand in the rural labour market.

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Determinants of multiple agricultural technology adoption: evidence from rural Amhara region, Ethiopia

Cited by 14 publications

References 16 publications

Adoption of dairy technologies in smallholder dairy farms in Ethiopia

Adoption of dairy technologies in smallholder dairy farms in Ethiopia

Is there a “made in Mexico” model for innovation transfer or diffusion among farmers?

Farm Labour Preferences among Small-scale Arable Crop Farmers in Akwa Ibom State, Southern Nigeria

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