Publication:
Impact of Irrigation Participation on Households Food Security in a Rural Area of Ethiopia: Application of Propensity Score Matching (PSM) Method for Causal Inference

dc.authorscopusid57194461200
dc.authorscopusid58790686400
dc.authorwosidEbrahim, Endris/Aia-7136-2022
dc.authorwosidToy, Ahmet/Lyb-1013-2024
dc.authorwosidEbrahim, Enis Assen/Aia-7136-2022
dc.contributor.authorEbrahim, Endris Assen
dc.contributor.authorToy, Ahmet
dc.contributor.authorIDEbrahim, Enis Assen/0000-0002-8959-6052
dc.date.accessioned2025-12-11T01:01:32Z
dc.date.issued2024
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Ebrahim, Endris Assen] Debre Tabor Univ, Coll Nat & Computat Sci, Dept Stat, Debre Tabor, Ethiopia; [Toy, Ahmet] Ondokuz Mayis Univ, Terme Vocat Sch, Dept Management & Org, Samsun, Turkiyeen_US
dc.descriptionEbrahim, Enis Assen/0000-0002-8959-6052en_US
dc.description.abstractIntroduction Irrigation plays an imperative role in the expansion of agriculture production and productivity growth that reduces food security. Implementing irrigation schemes is a crucial step towards ending poverty and enhancing food security. A strong association between farmers' engagement in irrigated agriculture boosts households' annual income and food expenditure and improves households' food security. To what extent, though, does the households' food security in the Dessie Zuria District that employs irrigation surpass the food security of other households that rely on rainfall remains unclear. In addition, there is not enough information available in the research area about how irrigation affects household income or expenditure and food security. Thus, this study aims to assess the factors influencing households' participation in small-scale irrigation and the effect of irrigation on food security. This study covers the severity of the issue and closes any gaps.Methods Multistage random sampling was used to consider the proportion of the heterogeneous groups to the entire population. The data were gathered in 2023 at Dessie Zuria District from a survey of 198 households (92 small-scale irrigation users and 106 non-users). Utilizing the logistic regression model, the variables affecting the likelihood of small-scale irrigation engagement were examined. Propensity Score Matching was used to examine the impacts of small-scale irrigation on households' food security using the household's annual income and their annual food expenditure as proxy variables. Eleven explanatory variables were used and a logit analysis result showed household family size, livestock holding in total livestock unit, access to credit, sex of households, and cultivable land were found as the main factors of small-scale irrigation participation.Results The Propensity Score Matching model result indicates that the adoption of small-scale irrigation increases the average annual income and annual food expenditure by 60, 273.27 (54.88%) and 5,589.12 (55.31%) Ethiopian Birr, respectively. Therefore, to recover the food security of agricultural households' current situation stakeholders should give due attention to the growth of small-scale irrigation.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.3389/fsufs.2024.1403317
dc.identifier.issn2571-581X
dc.identifier.scopus2-s2.0-85210904485
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3389/fsufs.2024.1403317
dc.identifier.urihttps://hdl.handle.net/20.500.12712/40759
dc.identifier.volume8en_US
dc.identifier.wosWOS:001370112400001
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherFrontiers Media SAen_US
dc.relation.ispartofFrontiers in Sustainable Food Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSmall-Scale Irrigationen_US
dc.subjectLogistic Regressionen_US
dc.subjectPropensity Score Matchingen_US
dc.subjectFood Securityen_US
dc.subjectHouseholdsen_US
dc.titleImpact of Irrigation Participation on Households Food Security in a Rural Area of Ethiopia: Application of Propensity Score Matching (PSM) Method for Causal Inferenceen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files