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Drought and Sustainable Intensification Technologies Adoption in Ethiopia

Domaine:

agricultureclimate

Type de record:

datasetpaper
Créateur:
Abr
Éditeur:
MekMek
Éditeur:
Mek
Hôte:avatar
The agricultural productivity of Ethiopia is highly influenced by rainfall variability. Understanding the relationship between drought and the adoption of multiple Sustainable Intensification Technologies (SITs) is important for informed decision-making. The SITs were well recognized for their important contribution in improving agricultural yield and improving resilience. To achieve the objectives, this study employs two waves of nationally representative data from the Living Standards Measurement Study (LSMS). The socioeconomic data was integrated with the historical monthly rainfall data from 1981 to 2022, obtained from the Climate Hazards Group Infrared Precipitation with Station data (CHIRPS). Using this historical rainfall data, it was constructed various drought indices and presented with multiple model specifications. While the primary focus was to examine the effect of drought on SIT adoption, it was also estimated that models that control for additional covariates identified in the literature as determinants of SIT adoption, using the Multivariate Probit (MVP) model. The findings of the study indicated that exposure to drought during survey year’s decreases the adoption of high-risk SITs, such as inorganic fertilizer, while increasing the adoption of risk-reducing SITs, such as manure and irrigation. Moreover, most of the correlation coefficients among the SITs were positive, indicating that smallholder farmers tend to adopt multiple SITs simultaneously. These results had significant implications for the adoption of SITs particularly under extreme climate conditions like drought

Visit

doi.orgrepository.mu.edu.et

Tags

AdoptionDroughtMultivariate probit modelProductivitySustainable intensification technology

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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