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    Climate change effects on agriculture in Tajikistan

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    Climate change is one of the main challenges for Tajikistan’s agricultural development in the medium and longer term. Tajikistan’s Agri-Food System and Sustainable Development Program (ASDP) for the period up to 2030 defined climate change as one of four key challenges to the development of agriculture and food systems. Accordingly, the Program accentuates the importance climate-optimized agriculture to ensure sustainable development of the sector. The effects of climate change on agriculture in Tajikistan was examined using IFPRI’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) by simulating climate change and no climate change (baseline) scenarios between 2015 and 2050.TEAADevelopment Strategies and Governance (DSG); Foresight and Policy Modeling (FPM); Transformation Strategie

    Building pathways out of poverty in Baidoa, Somalia: Qualitative evidence around resilience in the context of flood shocks

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    Somalia is among the most impoverished nations globally, grappling with severe poverty, persistent armed conflicts, and recurrent droughts and floods, leading to a humanitarian crisis marked by substantial internal displacement. The site of this evaluation, Baidoa, has 517 sites for internally displaced persons (IDPs), housing nearly 600,000 households. Notably, 64% of the residents in these sites are women and girls. The 2nd Somali High-Frequency Survey revealed that poverty is particularly pronounced in IDP settlements, compounded by high unemployment rates and a lack of income-generating opportunities, thereby exacerbating the challenging circumstances in this area.Ultra-Poor graduation in SomaliaPoverty, Gender, and Inclusion (PGI); Development Strategies and Governance (DSG)

    Demand-side approaches: Supporting healthier food choices

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    Understanding individual food choices and their net aggregate — which constitutes demand — is essential for any effort to reshape food systems to achieve broad nutrition and sustainability goals. This chapter presents an overview of food choice and consumer food demand in complex food systems, provides a summary of evidence for demand-side approaches to improve the healthfulness of diets, and identifies key areas where demand-side approaches can foster healthier food choices to achieve optimal health and nutrition.Nutrition, Diets, and Health (NDH); Food and Nutrition Polic

    Costs and returns in Rwandan smallholder agricultural production: Gross margins and profitability analyses

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    This paper explores crop commercialization among smallholder agricultural households in Rwanda from a cost and revenue perspective to determine profitability at the farm level. We use standard revenue and cost equations to assess the commercial viability of the smallholders. In general, we find that a household’s total crop production creates positive returns even if implicit costs, such as own family labor and fertilizer subsidies, are included. Specifically, over 80 percent of our sample households generated positive economic returns from farming— referred to as demonstrating a positive gross economic margin (GEM). However, if only crop market sales and market input costs are used in the calculations, only 40 percent of agricultural households generated positive returns—referred to as demonstrating a positive gross marketing margin (GMM). Most of the explanation for this difference is that the typical farm household sells only about one-third of its crop production by value. This outcome suggests that many agricultural households continue to focus on cultivating food crops for their own consumption and do not specialize in commercial production. This is to be expected in an economic context where input, credit, and commodity markets are still developing, production decisions are still shaped by high levels of weather and market risk, and production risk management options are limited, among many other factors. The results of this research provide a better understanding of how Rwandan smallholders might move towards higher value production, with the ultimate goal being to increase household revenues and welfare and accelerate the country’s economic transformation.Rwanda SSPDevelopment Strategies and Governance (DSG

    Impacts of Africa RISING in Malawi

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    This study evaluates the impact of Africa RISING, a large-scale sustainable intensification (SI) program that has been implemented in Central Malawi’s Dedza and Ntcheu districts beginning in 2012. Using a participatory action research framework, the program validated and promoted alternative SI options including fertilized maize, maize-legume intercropping, intercropping of two compatible legumes, cereal-legume rotation, and double-row planting of legumes. Impact is estimated on several SI indicators and domains using two rounds of panel data and difference-in-differences techniques. The unique study design allowed us to estimate impact by comparing outcomes among program beneficiaries with two different counterfactual groups—one located inside program villages (within village comparison) and another in non-program (control) villages (out-of-village comparison). We also conduct a placebo test comparing non-beneficiaries in the two counterfactual groups. The within-village comparison shows positive impact on several agricultural and economic indicators including access to agricultural information, value of harvest, on-farm diversity, labor profitability, annual net household income, per capita household consumption expenditure, household wealth, and household dietary diversity score. We do not find a statistically significant impact on human indicators such as child and maternal nutrition. Estimates based on within-village, out-of-village, and placebo comparisons suggest important insights about the challenges in assessing the impact of agricultural programs in general and, specifically, participatory multi-intervention programs in the presence of sample (self-)selection and spillovers. Our study highlights important lessons learned to inform future program design and impact assessments.Africa RisingInnovation Policy and Scaling (IPS

    Foresight for food markets: Developing and implementing market forecasting methods/models

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    The “Foresight for Food Markets: Developing and Implementing Market Forecasting Methods/Models with Hands-on Training at the FPMU” is an element of Integrated Food Policy Research Program (IFPRP). Originally signed in 2016 between the Government of Bangladesh (GoB) and the Joint Venture (JV) comprising the International Food Policy Research Institute (IFPRI), the Bangladesh Institute of the Development Studies (BIDS), and the University of Illinois, IFPRP was extended and modified in subsequent periods. The most recent updated contract between the GoB and the JV was signed in mid-2022. Deliverable 4.3, Foresight for Food Markets: Developing and Implementing Market Forecasting Methods/Models with Hands-on Training at the FPMU is one of the new deliverables included in the updated contract. Rising prices of essential commodities affect consumer welfare and pose a serious challenge to the Government of Bangladesh. Knowing prices of essentials in advance would allow the government to take necessary measures to restrain the extent of price increases or to mitigate effects of rising prices; such measures could include provisions of direct distributions of rice and wheat through social safety net programs or of subsidized open market sales on the one hand and engaging in direct imports of essentials or easing import restrictions for the private sector, on the other. Because price fluctuations are a feature of a free market, there is a persistent need for the government to be able to project consumer prices in advance. Accordingly, it is important that in addition to receiving estimates prepared by external experts, the government has the ability to obtain its own price projections; the government should have the estimates when it needs them and for commodities for which such information is needed. Against this backdrop, IFPRP is providing hands-on training on price projection techniques to officials from the Food Planning and Monitoring Unit (FPMU), the Directorate General of Food (DG Food), and the Ministry of Food (MoFood). It is envisioned that trained officials from the DG Food, the Ministry of Food, and mostly from the FPMU will produce price projection estimates on their own with IFPRP personnel helping a consultative capacity.IFPRPDevelopment Strategies and Governance (DSG

    Land as a binding constraint to cluster-based development in Ethiopia: To cluster or not to cluster?

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    As one of the agglomeration models targeting cluster-based rural development, cluster farming has been promoted in Ethiopia and it is already reported to have significant welfare implications, but participation rates are not as high as expected. This study examines the role of land as a constraint to the development of cluster-based development in Ethiopia both using extensive and intensive measures of cluster farming. The study further disaggregates farm households based on their farm size to better understand potential heterogeneities in the relationship between farm size and cluster farming. The paper also documents other household socio-economic and network characteristics that may matter in cluster farming. Methods We use a large-scale farm household data from 3,969 households coupled with some expert insights on cluster farming in Ethiopia. Households in the study areas grow major staples such as maize, wheat, teff, malt barley, and sesame in four main regions of Ethiopia. We employ a double hurdle model to examine both the decision to participate and the extent to which households participate in cluster farming. By extent of participation, we refer to the amount of land and share of land farm households contribute to cluster farming. For robustness purposes, we also estimate the Tobit and Linear Probability Models. Results We show a positive association between farm size and cluster farming both at the extensive and intensive margins. This relationship turns negative for large amounts of land. This shows that cluster farming increases with farm size up to a threshold beyond which it declines. We also find suggestive evidence that participation rates are lower for small-scale farms, but also declines for large-scale farms. In addition, we show that access to information and network characteristics also matter in enabling cluster farming. Conclusion The findings of this study are relevant in the framework of plans to upscale the cluster-based development initiative in Ethiopia. Attention to landholding issues is key and may be an important area where policy action can be geared to boost cluster farming. Moreover, our results inform potential targeting plans that aim to increase the participation of small-scale farmers who are usually the intended targets of such programs.Foresight and Policy Modeling (FPM); Transformation Strategie

    Prevalence, trends, and inequality in noncommunicable diseases in Bangladesh: Evidence from Bangladesh Demographic and Health Surveys 2011 and 2017–2018

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    We investigated the change of the prevalence of noncommunicable diseases (NCDs) in Bangladesh from 2011 to 2018 across different socioeconomic groups as well as the factors associated with the changes in prevalence. We used the two waves of the Bangladesh Demographic and Health Surveys conducted in 2011 and 2017–2018. Modified Poisson regression model was used to estimate the prevalence rate and ratio of NCDs and to test the association with different demographic and socioeconomic variables. The study found an upward trend of NCDs from 2011 to 2017 in which overweight and obesity, hypertension, and diabetes increased by 1.8, 1.5, and 1.1 times, respectively. In 2011, people from the richest households had 5.6 higher odds of being overweight compared to the poorest, which was reduced to 3.0 in 2017. However, the increment for overweight and hypertension was the highest among the poor and manual workers from 2011 to 2017. The age-adjusted prevalence ratio of overweight increased 4.4 times for the poorest, compared to 1.7 times for the richest. For manual workers, overweight increased 3.8 times, whereas hypertension increased by 2.4 times. The pooled analysis revealed that participants from the richest households have the highest risk of NCDs, with 3.3 times for overweight, 2.3 times for diabetes, and 1.3 times for hypertension, compared to the poorest. However, the prevalence of NCDs is rising quickly among the low socioeconomic groups in Bangladesh, narrowing the gap with higher socioeconomic groups. Our findings call for immediate policy interventions and targeted programs to curb NCD escalation in Bangladesh.Poverty, Gender, and Inclusion (PGI); Food and Nutrition Polic

    Perceptions towards management of acute malnutrition by community health volunteers in northern Kenya

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    Child undernutrition is a persistent challenge in arid and semi-arid areas due to low and erratic rainfall, recurrent droughts and food insecurity. In these settings, caregivers face several challenges in accessing health services for sick and/or malnourished children, including long distances to health facilities, harsh terrain, and lack of money to pay for transportation costs to the health facilities, leading to low service coverage and sub-optimal treatment outcomes. To address these challenges and optimize treatment outcomes, the World Health Organization recommends utilizing community health volunteers (CHVs) to manage acute malnutrition in the community. This study explored the perceptions of community members regarding acute malnutrition treatment by CHVs in Turkana and Isiolo counties in Kenya. The study utilized a cross-sectional study design and included a purposive sample of caregivers of children, CHVs, officers who trained and supervised CHVs and community leaders in the intervention area. Focus group discussions and key informant interviews were used to explore perceptions towards the management of acute malnutrition by CHVs. Generally, caregivers and CHVs perceived the intervention to be beneficial as it readily addressed acute malnutrition treatment needs in the community. The intervention was perceived to be acceptable, effective, and easily accessible. The community health structure provided a platform for commodity supply and management and CHV support supervision. This was a major enabler in implementing the intervention. The intervention faced operational and systemic challenges that should be considered before scale-up.Development Strategies and Governance (DSG); Transformation Strategie

    Policies and policy instruments to address food security in Asian developing and developed economies

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    Development Strategies and Governance (DSG

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