Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.envdev.2024.101031 |
Enhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers | |
Ahiamadia, David; Ramilan, Thiagarajah; Tozer, Peter R. | |
通讯作者 | Ramilan, T |
来源期刊 | ENVIRONMENTAL DEVELOPMENT
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ISSN | 2211-4645 |
EISSN | 2211-4653 |
出版年 | 2024 |
卷号 | 51 |
英文摘要 | Northern 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 riskefficient 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. |
英文关键词 | Climate -smart Gross margins Risk averse Smallholder farmers Stochastic dominance Variability Yield |
类型 | Article |
语种 | 英语 |
开放获取类型 | hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:001273754700001 |
WOS关键词 | FAO-AQUACROP MODEL ; AGRICULTURE ; ADAPTATION ; DROUGHT ; MAIZE ; VALIDATION ; YIELD |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/403543 |
推荐引用方式 GB/T 7714 | Ahiamadia, David,Ramilan, Thiagarajah,Tozer, Peter R.. Enhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers[J],2024,51. |
APA | Ahiamadia, David,Ramilan, Thiagarajah,&Tozer, Peter R..(2024).Enhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers.ENVIRONMENTAL DEVELOPMENT,51. |
MLA | Ahiamadia, David,et al."Enhancing climate resilience in northern Ghana: A stochastic dominance analysis of risk-efficient climate-smart technologies for smallholder farmers".ENVIRONMENTAL DEVELOPMENT 51(2024). |
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