Enhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers

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dc.citation.volume51
dc.contributor.authorAhiamadia D
dc.contributor.authorRamilan T
dc.contributor.authorTozer PR
dc.date.accessioned2024-11-18T22:41:46Z
dc.date.available2024-11-18T22:41:46Z
dc.date.issued2024-07-17
dc.description.abstractNorthern Ghana is a semi-arid region characterised by a unimodal rainfall pattern, and hot and dry weather conditions. Heavy reliance on rain-fed agriculture and the lack of resources for irrigation, makes smallholder farmers in the region increasingly vulnerable to climate-related crop failures. In recent years, climate-smart technologies (CSTs) such as changing planting dates (PD), compartmental bunding (CB), mulching (M), and transplanting (TP) have been recommended to minimise yield losses. However, there is limited information on the most risk-efficient CSTs for crops cultivated in the region. This study used a stochastic dominance approach to identify the most risk-efficient CSTs for maize, rice, and sorghum. The stochastic modelling process employed the Aqua-crop model to simulate climate-related yield variability using Ghana climate data, and gross margin variability with crop budgets from literature sources. From the study's findings, changing planting date from April to May was the most risk-efficient choice for maize and sorghum under farmers' and recommended practices. In contrast, transplanting was the most risk-efficient technology for rice farming in the study area. The study also highlights the importance of considering the risk-averse nature of smallholder farmers when selecting CSTs. By identifying the most risk-efficient CSTs, the study can help improve the resilience of smallholder farmers. These findings have important implications for the development and adoption of CSTs in northern Ghana.
dc.description.confidentialfalse
dc.edition.editionSeptember 2024
dc.identifier.citationAhiamadia D, Ramilan T, Tozer PR. (2024). Enhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers. Environmental Development. 51.
dc.identifier.doi10.1016/j.envdev.2024.101031
dc.identifier.elements-typejournal-article
dc.identifier.issn2211-4645
dc.identifier.number101031
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72022
dc.languageEnglish
dc.publisherElsevier B.V.
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2211464524000691
dc.relation.isPartOfEnvironmental Development
dc.rights(c) 2024 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectClimate-smart
dc.subjectGross margins
dc.subjectRisk averse
dc.subjectSmallholder farmers
dc.subjectStochastic dominance
dc.subjectVariability
dc.subjectYield
dc.titleEnhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers
dc.typeJournal article
pubs.elements-id490909
pubs.organisational-groupCollege of Health
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