Spousal Cooperation and Agricultural Technology Adoption

Adoption of agricultural technologies is crucial for sustainable development, yet adoption of many relevant technologies remains low, especially among smallholder farmers in Africa. While there is an extensive literature aimed at understanding drivers of adoption, intra-household factors have received much less attention. In this study, we examine the relationship between spousal cooperation, an important intra-household factor, and the adoption of agricultural technologies among smallholder farmers in Cameroon. Specifically, we focus on improved seed varieties, inorganic fertilizers, intercropping, and minimum tillage as technologies. We combine survey and lab-in-the-field experimental data and employ multivariate probit models to account for simultaneous adoption. We also estimate associations between cooperation and the number of technologies adopted. The results suggest that spousal cooperation is positively associated with the adoption of improved varieties and intercropping. However, we find no associations between cooperation and adoption of inorganic fertilizers and minimum tillage, although the coefficients are positive. We also find that cooperation is positively associated with the number of technologies adopted. Lastly, we find interesting complementarities between the various technologies. Our findings suggest that promoting spousal cooperation could serve as an important leverage point for the adoption of modern agricultural technologies.

Authors

Institutions

Publication Details

Journal
Open MIND
Published
2026-04-14
DOI
https://doi.org/10.48565/bonndoc-850
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spousal Cooperation and Agricultural Technology Adoption

Cecilia Maina, Francis E. Ndip
Open MIND
Agricultural Innovations and Practices
article

Spousal Cooperation and Agricultural Technology Adoption

Cecilia Maina, Francis E. Ndip
article en

Abstract

Adoption of agricultural technologies is crucial for sustainable development, yet adoption of many relevant technologies remains low, especially among smallholder farmers in Africa. While there is an extensive literature aimed at understanding drivers of adoption, intra-household factors have received much less attention. In this study, we examine the relationship between spousal cooperation, an important intra-household factor, and the adoption of agricultural technologies among smallholder farmers in Cameroon. Specifically, we focus on improved seed varieties, inorganic fertilizers, intercropping, and minimum tillage as technologies. We combine survey and lab-in-the-field experimental data and employ multivariate probit models to account for simultaneous adoption. We also estimate associations between cooperation and the number of technologies adopted. The results suggest that spousal cooperation is positively associated with the adoption of improved varieties and intercropping. However, we find no associations between cooperation and adoption of inorganic fertilizers and minimum tillage, although the coefficients are positive. We also find that cooperation is positively associated with the number of technologies adopted. Lastly, we find interesting complementarities between the various technologies. Our findings suggest that promoting spousal cooperation could serve as an important leverage point for the adoption of modern agricultural technologies.

Open MIND
University of Bonn (DE)
Zero hunger
Openalex Percentile: Top 22%
Agricultural Innovations and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.