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ORIGINAL RESEARCH article

Front. Public Health
Sec. Public Health and Nutrition
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1412670
This article is part of the Research Topic X-raying Zero Hunger (SDG2) Targets in Africa and Other Regions: Progress, Synergies, Opportunities, and Challenges Volume II View all 6 articles

Impact of crop commercialization on multidimensional poverty in rural Ethiopia: propensity score approach

Provisionally accepted
Anteneh Mulugeta Eyasu Anteneh Mulugeta Eyasu 1,2*Temesgen Zewotir Temesgen Zewotir 3Zelalem G. Dessie Zelalem G. Dessie 1,3
  • 1 Department of Statistics, College of Science, Bahir Dar University, Bahirdar, Ethiopia
  • 2 Department of Agricultural Economics, College of Agriculture and Environmental Science, Bahir Dar University, Bahir Dar, Ethiopia
  • 3 School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa

The final, formatted version of the article will be published soon.

    Reducing poverty through crop commercialization is one of the antipoverty efforts that helps promote health. This study explored the prevalence and the causal relationship between crop commercialization and rural Ethiopian households' multidimensional poverty using multilevel data. The study uses data from the most recent nationally representative Ethiopian socioeconomic survey 2018/19 to calculate the rural multidimensional poverty index using the Alkire and Foster technique. The data shows 2714 rural households nested in 59 administrative zones of Ethiopia. Based on several parameters (nutrition & health, education, living standards, rural livelihoods & resources, and risk), the investigation looks into the multidimensional poverty levels of Ethiopian rural households and how they differ across Ethiopian administrative zones. The results indicate that 47.8% of the rural households of Ethiopians were multidimensionally poor in several dimensions; nutrition & health, education, living standards, rural livelihoods & resources, and risk. The living standard dimension is most deprivation-prone for the rural, multidimensional poor households. Additionally, multidimensional poverty is more prevalent in Somali and Afar regions rural areas. The best linear unbiased prediction estimates of multidimensional poverty vary substantially across Ethiopia's administrative zones. Specifically, the top poorest performing administrative zones concerning the likelihood of being multidimensional poor among rural households were Shebelle, Zone 2, Zone 3, Zone 4, and Konso special woreda. Moreover, the results of the generalized linear mixed effects model show that crop-commercialized households have reduced the odds of being multidimensionally poorer than those who did not. This study recommends policymakers focus on rural multidimensional poverty reduction strategies

    Keywords: Rural multidimensional poverty, Crop commercialization, Alkire & Foster method, Propensity Score, Generalized linear mixed-effects model

    Received: 02 Oct 2024; Accepted: 09 Dec 2024.

    Copyright: © 2024 Eyasu, Zewotir and Dessie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Anteneh Mulugeta Eyasu, Department of Statistics, College of Science, Bahir Dar University, Bahirdar, Ethiopia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.