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Feed the Future Guatemala Value Chains Project: Summary of impact evaluation study [in Spanish]
No full textGuatemala experiences high and continued chronic malnutrition and poverty rates, with a particular concentration around predominantly rural and indigenous areas in the Western Highlands. Agricultural development is similarly low in the region, with farmers generally cultivating small landholdings, showing low agricultural productivity, and having limited ability for capital investment and an overall lack of market opportunities, combined with a relatively weak government support.
This brief presents the main findings of the impact evaluation of USAID’s Feed the Future (FTF) Guatemala Value Chains Project that aimed to increase agricultural incomes, strengthen resilience, and improve nutritional outcomes of small farmers and their families in the Western Highlands of the country. The Project was created in 2017, building on the successes and lessons learned from the previous five years of implementation of the FTF Initiative in Guatemala, and relying on four expected results: improving agricultural productivity and diversifying income generation alternatives; expanding access to markets; increasing resilience through implementation of climate-smart and nutrition sensitive agriculture; and strengthening the agriculture and food security enabling environment.Non-PRIFPRI1; 1 Fostering Climate-Resilient and Sustainable Food Supply; 2 Promoting Healthy Diets and Nutrition for all; 3 Building Inclusive and Efficient Markets, Trade Systems, and Food IndustryMarkets, Trade, and Institutions (MTI); Food and Nutrition Polic
Computer vision-assisted dietary assessment in youth in urban Ghana: Validity against weighed records and comparison with 24-hour recalls
No full textRecent estimates suggest that diet related risk factors cause 11 million deaths every year, more than any other factor included in the Global Burden of Disease analyses. These risks have been exacerbated by trends associated with the “nutrition transition,” including increased consumption of unhealthy, processed foods and reductions in physical activity, leading to increases in rates of overweight and obesity. Up-to-date dietary intake data are essential for the development of evidence-based nutrition actions. However, dietary data collection and analysis is complex and expensive. Dietary assessment surveys commonly use the multi pass 24-hour recall (24HR) method that has been validated for use in adults self-reporting their intake and/or that of their young children, and in adolescents. The costs of undertaking a 24HR are of the order of $500 per recall.Non-PRIFPRI1; 2 Promoting Healthy Diets and Nutrition for all; Capacity Strengthening; DCANutrition, Diets, and Health (NDH); Food and Nutrition Polic
Compounding stresses confront rural household in southern Malawi
No full textMaSSPDevelopment Strategies and Governance (DSG); Transformation Strategie
Corporate taxes and labor market informality evidence from China
No full textDevelopment Strategies and Governance (DSG
Papua New Guinea food price bulletin: January 2024
No full textThis bulletin presents food price trends during the fourth quarter of 2023 and compares current prices with those of previous years (2021-2022) from major markets across Papua New Guinea using data collected by Fresh Produce Development Agency (FPD). It is important to note that during the fourth quarter of 2023, none of the markets had a complete set of fortnightly price data. While Port Moresby had fortnightly observations for October and December, the rest of the markets (Goroka, Banz Kokopo, Lae) collected price data on a monthly basis. No data was collected in the 4th quarter from Mt Hagen market. To access the complete and comprehensive price dataset, you can download it from our website. This bulletin reports the average real monthly fresh food price data from Port Moresby, Goroka, Banz, and Kokopo markets. The prices presented in this report are in real terms, adjusted for inflation using FAO consumer price index (CPI).Papua New Guinea Food Policy StrengtheningDevelopment Strategies and Governance (DSG
Synopsis: Agricultural Mechanization in Rwanda
No full textOptimal agricultural mechanization strategies in Rwanda can be better informed by a closer assessment of diverse production environments and experiences in other countries with similar topography. The findings from Rwanda’s latest agricultural surveys, review of recent experiences in countries with rugged terrain and smallholder farming systems similar to Rwanda and reviewing mechanization support strategies from other countries suggest that identifying mechanization technologies suitable for different types of farms, promoting greater private-sector innovations while focusing on the relevant public goods aspect of mechanization is the most promising way forward. Key findings include the following: • Variations in agroecology and cropping systems, irrigated/rainfed systems, farm size, and labor use intensity, among other factors, characterize the key types of mechanization use in Rwanda. • In the medium term, smallholders cultivating rainfed maize and legumes, in addition to irrigated rice, can benefit from the use of tractors, as well as irrigation pumps. • However, farm wages may still be too low and tractor-hiring fees may still be too high in Rwanda to induce a shift to mechanization in the short term. • Policy support for mechanization can focus on improving the understanding of mechanization needs among each type of farmers identified, knowledge of suitable machines, and required skills for their operations and maintenance. • Developing competitive markets and supply networks for promising machines, parts, and repair services at a viable and integrated market scale is also important.Rwanda SSPDevelopment Strategies and Governance (DSG); Transformation Strategie
Stunting and wasting rates among pre-school age children in Yangon and Ayeyarwady, October–November 2023
No full textThe outbreak of COVID-19 in 2020 and the military takeover of the democratically elected government in early 2021 has largely prevented the implementation of in-person surveys necessary for the collection of anthropometric data. To redress this knowledge gap, we implemented an in-person survey of mothers (caregivers) and young children in urban and peri-urban Yangon and rural Ayeyarwady in October and November 2023. This in-person 11th round of the Rural-Urban Food Security Survey (RUFSS) involved data collection on a wide range of socioeconomic indicators, but also child anthropometric outcomes such as length and weight. In this study, we report results for height-for-age z scores (HAZ) and weight-for-height z scores (WHZ) relative to international reference standards, as well as stunting (HAZ +2) and mildly overweight (+1 <WHZ< +2).MyanmarSSPDevelopment Strategies and Governance (DSG
Gendered farm work and decision-making: Quantitative evidence from Tajikistan
No full textQuantitative data collected in August and September 2018 in 12 districts of Khatlon Province, called “The Assessment of Nutrition-Sensitive Value Chains in the FtF ZOI in Tajikistan” were employed to analyze gender differences in participation in crop production and marketing activities, and to understand the association between women’s employment and their decision-making power at home. The dataset contains general information on the households’ farm activities, and detailed information of production practices for households’ main horticultural crops (vegetables, fruits, melons and cucurbitae).TEAADevelopment Strategies and Governance (DSG
Pandemic experiences and the post-lockdown economic recovery: Evidence from China
No full textMarkets, Trade, and Institutions (MTI); Food and Nutrition Polic
Water-energy-food planning and operations framework for river basins with a case study on the Blue Nile
No full textInfrastructure in river basins is essential to achieving several Sustainable Development Goals (SDGs), including SDG 2 on zero hunger, SDG 6 on water and sanitation, and SDG 7 on affordable and clean energy. However, important tradeoffs and synergies need to be navigated across these goals as both water and resources for infrastructure investments are limited. In transboundary river basins, such tradeoffs can transcend countries, creating a complex, interconnected system of water-energy-food linkages. With increasing pressures on the Blue Nile’s water resources from population and economic growth and climate change, an analytical framework for joint planning of these essential human development goals at a fine temporal resolution and considering multi-national priorities can enhance the potential to achieve water, energy, and food security. In this study, we develop and apply a framework for water resources planning in the Blue Nile using four steps: (1) understanding the water-energy-food nexus management landscape through stakeholder engagement and literature review; (2) developing a detailed daily simulator that captures major nexus components and objectives at a fine temporal scale; (3) linking the simulator to an Artificial intelligence-based search algorithm to design efficient agricultural and dam operation portfolios considering national and sectoral priorities; and (4) presenting the results using interactive visualization tools to facilitate dialogue and support decisions. Our results identify efficient operation plans for large dams on the Blue Nile for alternative cropping patterns in expanded irrigation areas in Sudan that minimize tradeoffs across water, energy, and food objectives.Natural Resources and Resilience (NRR); Transformation Strategies; Development Strategies and Governance (DSG