Livelihood Asset versus Capabilities: Pillars for Sustainable Development in Rural Households of East Wallaga zone, Southwest Ethiopia

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Authors

Dereje Chimdessa Kumsa , Admassu Tesso Huluka, Dereje Tolera Geleta

Abstract

This study investigated the relationship between livelihood assets and capabilities in rural households of East Wallaga Zone, Southwest Ethiopia, to understand how they contribute to sustainable development. The analysis, using Structural Equation Modelling (SEM), examined factors such as social engagement, land size, education, animal ownership, irrigation, and household size as indicators of assets, while productivity, income diversification, service accessibility, and savings reflected capabilities. The findings revealed that access to irrigation, livestock ownership, and education significantly enhanced household capabilities, promoting sustainable development through increased income diversification and productivity. The study underscores the importance of targeted interventions to strengthen household capabilities and access to resources, which are vital for long-term growth and resilience in rural communities.

DOI

https://doi.org/10.31223/X50H6V

Subjects

Environmental Studies

Keywords

Structural Equation Model, assets, capability, livelihood, diversification, sustainability

Dates

Published: 2024-10-30 11:18

Last Updated: 2024-10-30 18:18

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
The data supporting the findings of this study are available upon request from the corresponding author, Dereje Chimdessa (derejechimdessa156@gmail.com). Due to ethical and privacy concerns, the data are not publicly available. However, anonymized data may be shared with researchers upon reasonable request, subject to approval from the relevant ethics review board and adherence to data protection regulations.

Conflict of interest statement:
The authors declare that they have no competing interests related to this study. No financial, professional, or personal conflicts influenced the research, data collection, analysis, or interpretation of the findings.