An Appraisal of Factors Influencing Adoption of Agricultural Innovations: Insights from Selected Developing Countries

Moyo, Rachel; Salawu, Abiodun

doi:10.5191/jiaee.2016.24102

Cited by 12 publications

(7 citation statements)

References 3 publications

(3 reference statements)

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“…The findings imply that farmers with formal education are likely to be aware of more sources of information and then make informed decisions regarding their farming activities. This assertion confirms the findings of Moyo and Salawu (2016) that the education of farmers influence adoption of agricultural technology in Nigeria. Gender and income level of small ruminant household heads were also tested in the model but did not indicate a statistically significant effect on adoption of husbandry practices.…”

Section: Predicting Factors Of Adoption Of Good Animal Husbandry Pracsupporting

confidence: 90%

Access to dry season water and small ruminants market integration in the Nadowli District of Upper West Region of Ghana

Adam¹,

Freeman²,

Dassah³

2017

J. Agric. Ext. Rural Dev

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Against a background of disconnect between high demand for small ruminants and limited market integration of small ruminants in the interior savannah agro-ecological zone of Ghana, the objective of this study was to assess the effects of differential access to dry season water on small ruminant production and market integration in the Nadowli District of Ghana. The study obtained data from 389 small ruminant households in the Nadwoli District. The data were analyzed using chi-square test, t-test and logistic regression. The results of the study indicate that 67% of small ruminant keepers in high dry season water access communities adopted all animal husbandry practices compared to 33% of small ruminant keepers in low dry season water access communities. The findings also show that small ruminant market integration was relatively higher for both sheep (48%) and goats (35%) in high dry season water access communities compared to 12 and 9% for sheep and goats, respectively, in low dry season water access communities. Veterinary service access, water access, shelter and free grazing show statistically significant predicting factors of small ruminant market integration. The adoption of good husbandry practices and the resultant high market integration suggests that when communities have access to dry season water, they tend to do better in taking advantage of market opportunities to reduce poverty and enhance food security.

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Section: Predicting Factors Of Adoption Of Good Animal Husbandry Pracsupporting

confidence: 90%

Access to dry season water and small ruminants market integration in the Nadowli District of Upper West Region of Ghana

Adam¹,

Freeman²,

Dassah³

2017

J. Agric. Ext. Rural Dev

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“…When project implementers use CBAM SOC, they become aware of the stages project beneficiaries are in. Knowing this, project leaders can focus on activities that promote lasting adoption and strategically communicate the innovation and thereby, ensure the needs of each farmer are met at the right time (Moyo & Salawu, 2017). Restructuring a project in this way can save time and money.…”

Section: Discussionmentioning

confidence: 99%

Piloting of the Concerns-based Adoption Model: Farmer Concerns About the Participatory Guarantee System in Cambodia

Mize

Trexler

Crump

et al. 2020

JIAEE

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While there is a large body of adoption and agricultural extension literature on the process of introducing a new technology, agricultural development projects are often expected to produce immediate results that do not always allow for the integration of these theories into practice. The Concerns-based Adoption Model (CBAM) is a framework that places participants at the center of the change process to identify their concerns and challenges, providing a roadmap for projects to guide individuals with the correct support for their particular stage of adoption. CBAM has typically been used for the introduction of new curriculum in formal education. But this study assessed the potential for CBAM to be applied to agriculture innovations. In this study, we adapted and piloted the CBAM “Stages of Concern” model to assess adoption of an agriculture innovation. The innovation is the Participatory Guarantee System (PGS) for Cambodian vegetable farmers. We assessed the potential for CBAM as a tool for agricultural development project management. We found that the adapted survey consistently placed farmers in the anticipated Stage of Concern. Identifying users’ Stages of Concern can inform program designers and practitioners, assisting in tailoring support across the adoption process. CBAM has the potential to inform participatory project design and give project administrators an evidence-based, systematic protocol for assessing the adoption process, adding another tool to the development practitioners’ toolbox. Keywords: Diffusion of Innovations, adoption, project design

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“…The factors that influence the acceleration of innovation adoption showed that specifically in different regions, the influencing factors are also very site-specific [7] .…”

Section: Effectiveness Of Innovation Dissemination In Efforts To Incrmentioning

confidence: 99%

Effectiveness of Innovation Dissemination in Efforts to Increase Adoption of Sustainable Rice Innovation using LISREL

Mardiharini*,

Sumardjo,

Tjiptopranoto

et al. 2020

IJITEE

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The main issue related to the role of innovation-producing institutions during the last two decades is the limited innovation adopted by end users. The aim of this study was to (1) analyze the perceptions of researchers-extension agents-farmers about the accuracy and speed of innovation,(2) analyze the factors that influence the accuracy and speed of adoption and diffusion of innovation, and (3) formulate effective strategies for disseminating innovation in the future. The study was conducted through a survey approach, from March to December 2018 at rice production centers in Central Java and West Java Provinces, Indonesia. Number of respondents (n) was 270 rice farmers. The first objective was answered using descriptive analysis and tabulation, while the second and third objectives were answered using Structural Equation Models (SEM) with LISREL software version 8.72. SEM analysis is a combination of factor analysis, path analysis and regression. The results of the study indicated differences in perceptions within researchers-extension agents-farmers about the accuracy of innovation. The effectiveness of dissemination is very strongly represented by indicators of time and quality accuracies. The effectiveness of dissemination is at the same time a factor influencing the acceleration of diffusion. In the future, it is necessary to investigate the accuracy of each innovation produced by Indonesian Agency for Agricultural Research and Development (IAARD), and understand every actor who plays roles in the innovation system, starting from the producer/provider of innovation, extension agents and other sources of information, as well as users/farmers. The other factors influencing the dissemination of innovation (delivery system) are the capacity of the information sources and the characteristics of the innovation itself.

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An Appraisal of Factors Influencing Adoption of Agricultural Innovations: Insights from Selected Developing Countries

Cited by 12 publications

References 3 publications

Access to dry season water and small ruminants market integration in the Nadowli District of Upper West Region of Ghana

Access to dry season water and small ruminants market integration in the Nadowli District of Upper West Region of Ghana

Piloting of the Concerns-based Adoption Model: Farmer Concerns About the Participatory Guarantee System in Cambodia

Effectiveness of Innovation Dissemination in Efforts to Increase Adoption of Sustainable Rice Innovation using LISREL

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