Understanding farm level technology adoption: lessons learned from CIMMYT's micro surveys in Eastern Africa

By Cheryl R. Doss. 2003

184 citations recorded by the source corpus.

Drawing on a series of technology adoption studies carried out by the International Maize and Wheat Improvement Center (CIMMYT) in collaboration with national agricultural research systems in Eastern Africa during 1996-98, this paper suggests alternative approaches for designing technology adoption studies to obtain as much useful information as possible. It describes the Eastern African studies and summarizes specific lessons learned, asks what can be learned from farm-level studies in a few communities, explores generic limitations of micro studies and a range of problems and issues faced in carrying out such studies, addresses challenges that arise in trying to put together a set of compatible micro studies, and lists overall conclusions and specific recommendations.

Subfields: Environmental Chemistry, General Agricultural and Biological Sciences, Soil Science

View Paper: https://www.semanticscholar.org/paper/f1dbb05bbc09644c86b9467cbaac459fda913291

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. Christopher B. Barrett
2. Megan Sheahan

In General Agricultural and Biological Sciences

1. M. Kassie
2. Megan Sheahan
3. Leslie Lipper
4. Dil Rahut
5. A. Khatri-Chhetri
6. J. Aryal
7. T. Sapkota
8. M. L. Jat

In Soil Science

1. M. Kassie
2. Leslie Lipper
3. Megan Sheahan
4. Dil Rahut
5. A. Khatri-Chhetri
6. T. Sapkota
7. J. Aryal
8. M. L. Jat

Citations in the corpus

• Farmers’ perceptions of a ‘push–pull’ technology for control of cereal stemborers and Striga weed in western Kenya (2008, background): “Access to information about an agricultural technology with a demonstrated efficacy is one of the key factors determining a technology’s uptake (Mowo et al., 2004; Doss, 2003).”
• Prospects for adopting system of rice intensification in Sri Lanka: a socioeconomic assessment (2003, background): “…empirical analyses, however, a precise definition of adoption (adopter) is required, and as recent CIMMYT (International Wheat and Maize Research Institute) experience on crop variety adoption research in East Africa indicates is a complicated question with no obvious, correct answer (Doss 2003).”
• Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania (2017, background): “…gender and safety-first behaviour (Feder et al. (1985); Feder and Umali (1993); Just and Zilberman (1983); Rosenzweig and Wolpin (1993); Besley (1995); Doss (2003); De Groote and Coulibaly (1998); Kassie and Holden 4 (2007); Smale et al. (1994) among others) in shaping adoption decisions.”
• Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India (2018, background): “Multiple factors influence farmers’ decisions to adopt agricultural technologies (Birthal et al., 2015; Doss, 2003; Kassie et al., 2010).”
• Understanding the agricultural input landscape in Sub-Saharan Africa : recent plot, household, and community-level evidence (2014, background): “What is less well-documented with data from farmers’ fields is the relationship between input use intensity and farm size (important exceptions include Croppenstedt, Demeke, Meschi 2003; Doss 2003).”