Understanding heterogeneity in technology adoption among Indonesian smallholder dairy farmers

Abstract

This study aims to understand and profile smallholder farmers' technology adoption status. We collected cross‐sectional data from 600 smallholder dairy farming households in West Java, Indonesia. A Latent class cluster analysis identified two unique clusters of smallholder dairy farmers based on patterns in their adoption status of multiple dairy farming technologies. Cluster 1 (Low awareness/low adoption) had significantly lower awareness of all technologies, and among the “aware” farmers, technology adoption rates were also significantly lower compared to Cluster 2 (High awareness/high adoption). The Low awareness/low adoption cluster was older, had less formal education, managed fewer dairy cows, had less productive and less profitable dairy enterprises, lived further away from their cooperative and farmer group leader, and had fewer contacts with dairy extension staff. Farmers' responses to questions regarding reasons underpinning nonadoption decisions suggest that farmers face multilayered and heterogenous constraints to adopting dairy technologies. This insight can assist government, policymakers, and development professionals in designing technology dissemination programs that meet the unique characteristics of subgroups of farmers, ultimately improving the adoption of technologies. [EconLit Citations: Q12, Q16].

Sustainable business models for smallholder farmers: Challenges for and lessons from the Barsha pump experience

“…However, such a narrow business strategy typically fails to address the SF's multifaceted challenges (Adams & Jumpah, 2021;Akzar et al, 2023). By not reaching a higher value proposition, SFs may ultimately disregard the offered product or service.…”

“…Companies providing a single product or service may address one specific need of SFs (e.g., an irrigation pump to enable SF irrigation). However, such a narrow business strategy typically fails to address the SF's multifaceted challenges (Adams & Jumpah, 2021; Akzar et al, 2023). By not reaching a higher value proposition, SFs may ultimately disregard the offered product or service.…”

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Technology and Knowledge Transfers to Dairy Farms Private Sector Contribution to Improve Milk Production

“…The majority of farmers only finished elementary school, manage less than ten dairy cows, live far from the cooperative and farmer group leader, and receive few visits from dairy extension officers (Akzar, 2021). Limited resources in knowledge and capital hinder the production of highquality milk that is bought at a higher price by dairy cooperatives and companies.…”