Labour Dynamics, Factor Substitution and Capital Adoption in Sub‐Saharan African Agriculture

ABSTRACT Ongoing structural transformations in many Sub‐Saharan African (SSA) economies are driving changes in labour inputs and wages, likely influencing smallholder agriculture and the direction of agricultural intensification processes. At the same time, the adoption of capital‐intensive technologies still remains puzzlingly low. This article, therefore, explores how smallholder farmers in Ghana, Tanzania and Malawi adapt their mix of production factors in response to evolving regional wage conditions. In particular, we investigate the nature of the relationship between capital and labour regarding their substitutability, given that the types of available capital and prevailing farming systems in SSA mean that mechanisation still requires significant complementary labour. Using a multi‐step method based on panel data, our results show that the elasticity of substitution between capital and labour is non‐unitary, indicating they are gross complements. In line with these findings, our binary choice model reveals that higher wages are likely to impede capital investment in African agriculture. Our findings corroborate recent literature from other regions and suggest that growth in the off‐farm economy could hinder the adoption of capital‐intensive agricultural technologies in SSA.

Institutions

Publication Details

Journal
Journal of Agricultural Economics
Published
2025-12-05
DOI
https://doi.org/10.1111/1477-9552.70016
Citations
1
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
4.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Labour Dynamics, Factor Substitution and Capital Adoption in Sub‐Saharan African Agriculture

1 citations
Journal of Agricultural Economics
Agricultural Innovations and Practices
4.83
article

Labour Dynamics, Factor Substitution and Capital Adoption in Sub‐Saharan African Agriculture

article en
1 citations

Abstract

ABSTRACT Ongoing structural transformations in many Sub‐Saharan African (SSA) economies are driving changes in labour inputs and wages, likely influencing smallholder agriculture and the direction of agricultural intensification processes. At the same time, the adoption of capital‐intensive technologies still remains puzzlingly low. This article, therefore, explores how smallholder farmers in Ghana, Tanzania and Malawi adapt their mix of production factors in response to evolving regional wage conditions. In particular, we investigate the nature of the relationship between capital and labour regarding their substitutability, given that the types of available capital and prevailing farming systems in SSA mean that mechanisation still requires significant complementary labour. Using a multi‐step method based on panel data, our results show that the elasticity of substitution between capital and labour is non‐unitary, indicating they are gross complements. In line with these findings, our binary choice model reveals that higher wages are likely to impede capital investment in African agriculture. Our findings corroborate recent literature from other regions and suggest that growth in the off‐farm economy could hinder the adoption of capital‐intensive agricultural technologies in SSA.

Journal of Agricultural EconomicsVol. 77(1)
University of Hohenheim (DE), University of Colorado Boulder (US), IIT@MIT (US), Oxford Spires Academy (GB)
Deutsche Forschungsgemeinschaft
Decent work and economic growth
Openalex Percentile: Top 4%
Agricultural Innovations and Practices
4.83
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.