Adoption factors of conservation agriculture for sustainable farming in southern Zambia

The study investigates the factors influencing the adoption of conservation agriculture (CA) among smallholder farmers in the Livingstone District, Southern Zambia, with a focus on promoting sustainability and resilience in farm production. Utilizing a regression model, the analysis identified six significant covariates impacting the adoption of CA practices. Notably, access to extension services emerged as a critical factor, exhibiting an odds ratio of 13.94, indicating that farmers with better access to these services are substantially more likely to adopt conservation agriculture. Other significant factors included the decision-maker within the household (odds ratio of 3.11), gender (6.26), number of dependents (3.27), frequency of extension services received (4.95), and the number of training sessions attended (2.06). The findings suggest that the determinants affecting CA adoption are diverse and context-specific; therefore, enhancing government extension services in Zambia could play a vital role in facilitating greater adoption rates among smallholder farmers. This research highlights the importance of tailored support mechanisms in fostering sustainable agricultural practices and enhancing resilience in farming systems within the region.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-30
DOI
https://doi.org/10.5281/zenodo.17264025
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adoption factors of conservation agriculture for sustainable farming in southern Zambia

Zenodo (CERN European Organization for Nuclear Research)
Bacterial Genetics and Biotechnology
article

Adoption factors of conservation agriculture for sustainable farming in southern Zambia

article en

Abstract

The study investigates the factors influencing the adoption of conservation agriculture (CA) among smallholder farmers in the Livingstone District, Southern Zambia, with a focus on promoting sustainability and resilience in farm production. Utilizing a regression model, the analysis identified six significant covariates impacting the adoption of CA practices. Notably, access to extension services emerged as a critical factor, exhibiting an odds ratio of 13.94, indicating that farmers with better access to these services are substantially more likely to adopt conservation agriculture. Other significant factors included the decision-maker within the household (odds ratio of 3.11), gender (6.26), number of dependents (3.27), frequency of extension services received (4.95), and the number of training sessions attended (2.06). The findings suggest that the determinants affecting CA adoption are diverse and context-specific; therefore, enhancing government extension services in Zambia could play a vital role in facilitating greater adoption rates among smallholder farmers. This research highlights the importance of tailored support mechanisms in fostering sustainable agricultural practices and enhancing resilience in farming systems within the region.

Zenodo (CERN European Organization for Nuclear Research)
University of South Africa (ZA)
Zero hunger
Openalex Percentile: Top 35%
Bacterial Genetics and Biotechnology
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.

Adoption factors of conservation agriculture for sustainable farming in southern Zambia · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS