Why Is Production of Animal Source Foods Important for Economic Development in Africa and Asia?

Baltenweck, Isabelle; Enahoro, Dolapo K.; Frija, Aymen; Tarawali, Shirley A.

doi:10.1093/af/vfaa036

Cited by 39 publications

(21 citation statements)

References 18 publications

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“…Around half of people in LMICs live in rural or remote areas. 10 Livestock, many of which are reared in remote rural areas, contribute to approximately 25% of agricultural gross domestic product in LMICs, 11 and support the livelihoods of over 600 million smallholder farmers 12 and 30 million pastoralists in Africa. 13 By sustaining biodiversity, communities in remote rural areas also maintain ecosystem services.…”

Section: Why Invest In Zoonotic Disease Surveillance In Remote Rural ...mentioning

confidence: 99%

Strengthening global health security by improving disease surveillance in remote rural areas of low-income and middle-income countries

Worsley‐Tonks

Bender

Deem

et al. 2022

The Lancet Global Health

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Section: Why Invest In Zoonotic Disease Surveillance In Remote Rural ...mentioning

confidence: 99%

Strengthening global health security by improving disease surveillance in remote rural areas of low-income and middle-income countries

Worsley‐Tonks

Bender

Deem

et al. 2022

The Lancet Global Health

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“…However, long-term strategies shall be in place along with the short-term approaches in order to expect a lasting result [ 42 , 43 ]. Furthermore, improving quality livestock production can increase access to ASF and consumption can alleviate malnutrition [ 44 ]. Such approaches allows sufficient intake at affordable price for better nutritional outcome and health status of children [ 41 , 45 ].…”

Section: Discussionmentioning

confidence: 99%

Individual and community-level factors associated with animal source food consumption among children aged 6-23 months in Ethiopia: Multilevel mixed effects logistic regression model

Hamza¹,

Abdu

Kabthymer

et al. 2022

PLoS ONE

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Background Diversified diet in childhood has irreplaceable role for optimal growth. However, multi-level factors related to low animal source food consumption among children were poorly understood in Ethiopia, where such evidences are needed for decision making. Objectives To investigate the magnitude and individual- and community-level predictors of animal source food (ASF) consumption among children aged 6–23 months in Ethiopia. Methods We utilized a cross-sectional pooled data from 2016/19 Ethiopia Demographic and Health Surveys. A stratified two-stage cluster design was employed to select households with survey weights were applied to account for complex sample design. We fitted mixed-effects logit regression models on 4,423 children nested within 645 clusters. The fixed effect models were fitted and expressed as adjusted odds ratio with their 95% confidence intervals and measures of variation were explained by intra-class correlation coefficients, median odds ratio and proportional change in variance. The deviance information criterion and Akaike information Criterion were used as model fitness criteria. Result in Ethiopia, only 22.7% (20.5%-23.9%) of children aged 6–23 months consumed ASF. Younger children aged 6–8 months (AOR = 3.1; 95%CI: 2.4–4.1), home delivered children (AOR = 1.8; 1.4–2.3), from low socioeconomic class (AOR = 2.43; 1.7–3.5); low educational level of mothers (AOR = 1.9; 95%CI: 1.48–2.45) and children from multiple risk pregnancy were significant predictors of low animal source consumption at individual level. While children from high community poverty level (AOR = 1.53; 1.2–1.95); rural residence (AOR = 2.2; 95%CI: 1.7–2.8) and pastoralist areas (AOR = 5.4; 3.4–8.5) significantly predict animal source food consumption at community level. About 38% of the variation of ASF consumption is explained by the combined predictors at the individual and community-level while 17.8% of the variation is attributed to differences between clusters. Conclusions This study illustrates that the current ASF consumption among children is poor and a multiple interacting individual- and community level factors determine ASF consumption. In designing and implementing nutritional interventions addressing diversified diet consumption shall give a due consideration and account for these potential predictors of ASF consumption.

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“…With sustained or rising demand for agricultural commodities in developing countries (Sharma 2014;Alae-Carew et al 2019;Zhou et al 2016;Desiere et al 2018), increased production efficiency should lead to higher producer incomes (Michler 2020;Zhang et al 2018). A standard assumption arising from this observation is that smallholder producers who traditionally have grown the commodities that are now seeing higher demand (e.g., cereals, vegetables, fish and livestock products) will gain economically as they ramp up their production to meet this demand (Enahoro et al 2018;Baltenweck et a;. 2020).…”

Section: Production Technology Finance and Extension Servicesmentioning

confidence: 99%

Foresight for income and employment: What can we learn for agricultural research for development

Kruseman¹,

Dermawan²,

Diagne³

et al. 2021

Preprint

Self Cite

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Challenges related to poverty, hunger, nutrition, health, and the environment are widespread and urgent. One way to stress the urgency of making the right decisions about the future of the global food systems now is to better understand and more clearly articulate the alternative scenarios that food systems face. Developing, synthesizing, and presenting such alternatives to decision makers in a clear way is the ultimate goal of e CGIAR Foresight team.No single source of information focuses regularly and systematically on the future of food and agriculture, and challenges facing developing countries. Our work aims to fill that gap with a focus on agricultural income and employment.group systematically collects information about past, on-going and planned foresight activities across CGIAR centers and their partners, spanning the global agricultural research for development arenaWe present a comprehensive overview and synthesis of the results of relevant foresight research, which through the tagging with metadata allows for customized investigations in greater detail. The cross-cutting nature of this work allows for a more comprehensive picture and assessments of possible complementarities/trade-offs.Potential users of this report and associated activities include CGIAR science leaders and scientists as well as the broader research community, national and international development partners, national governments and research organizations, funders, and the private sector.The approach developed by the CGIAR foresight group is used to make foresight study results accessible across organizations and domains in order to aid policy and decision makers for strategic planning. The approach allows visualization of both the available information across multiple entry points as well as the identification of critical knowledge gaps.

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Why Is Production of Animal Source Foods Important for Economic Development in Africa and Asia?

Cited by 39 publications

References 18 publications

Strengthening global health security by improving disease surveillance in remote rural areas of low-income and middle-income countries

Strengthening global health security by improving disease surveillance in remote rural areas of low-income and middle-income countries

Individual and community-level factors associated with animal source food consumption among children aged 6-23 months in Ethiopia: Multilevel mixed effects logistic regression model

Foresight for income and employment: What can we learn for agricultural research for development

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