Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61828
Title: Farmers’ adoption of multiple climate-smart agricultural technologies in Ghana: determinants and impacts on maize yields and net farm income
Contributor(s): Asante, Bright O (author); Ma, Wanglin (author); Prah, Stephen (author); Temoso, Omphile  (author)orcid 
Publication Date: 2024-02-23
Open Access: Yes
DOI: 10.1007/s11027-024-10114-8
Handle Link: https://hdl.handle.net/1959.11/61828
Abstract: 

This study investigates the factors affecting maize farmers’ decisions to adopt climate-smart agricultural (CSA) technologies and estimates the impacts of CSA technology adoption on maize yields and net farm income. Unlike most previous studies that analyze a single technology, we consider different combinations of three CSA technologies (zero tillage, row planting, and drought-resistant seed). A multinomial endogenous switching regression model addresses selection bias issues arising from observed and unobserved factors and analyses data collected from 3197 smallholder farmers in three Ghana regions (Brong-Ahafo, Northern, and Ashanti). The findings show that smallholder farmers’ decisions to adopt multiple CSA technologies are influenced by farmer-based organization membership, education, resource constraints such as lack of land, access to markets, and production shocks such as perceived pest and disease stress and drought. We also find that adopting all three CSA technologies together has the largest impact on maize yields, while adopting row planting and zero tillage as a combination has the largest impact on net farm income. Governments should collaborate with farmer-based groups and extension officers to improve farmers’ awareness and understanding of the benefits associated with CSA technologies and help them adopt multiple technologies that generate higher benefits.

Publication Type: Journal Article
Source of Publication: Mitigation and Adaptation Strategies for Global Change, 29(2), p. 1-23
Publisher: Springer Dordrecht
Place of Publication: The Netherlands
ISSN: 1573-1596
1381-2386
Fields of Research (FoR) 2020: 380105 Environment and resource economics
410199 Climate change impacts and adaptation not elsewhere classified
380201 Cross-sectional analysis
Socio-Economic Objective (SEO) 2020: 190101 Climate change adaptation measures (excl. ecosystem)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
UNE Business School

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