International Food Policy Research Institute

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    Regional variations in rural livelihoods: Challenges and opportunities

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    Development Strategies and Governance (DSG

    Tracking key CAADP indicators and implementation processes

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    In this chapter we review Africa’s progress in CAADP process implementation and on the CAADP RF indicators to highlight areas of strong performance that need to be sustained or accelerated as well as areas of weak performance that require urgent attention to enable the continent to meet its Malabo Declaration agricultural transformation goals. The chapter examines progress on 27 of the 38 CAADP RF indicators for which cross-country data are available (Table 13.2). Details of the indicators and aggregate statistics are available in the data tables in Annexes 1–3 of this report. Progress on the RF indicators is discussed across different aggregated geographic and economic groupings of African countries by comparing trends in the RF indicators during the first five years after the adoption of CAADP (2003–2008) with later subperiods (2008–2014 and 2014–2023), with a particular focus on the Malabo Declaration period of 2014–2023.ReSAKS

    Climate risks and vulnerabilities in African agrifood systems

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    I n an era when the impacts of climate change are becoming increasingly pronounced, understanding and mitigating climate risk is paramount, especially for regions highly vulnerable to environmental change. Africa, with its rich biodiversity and varied climates, stands on the front line, facing unique challenges posed by climate change and climate variability. The continent’s susceptibility around climate change is not just a matter of environmental concern but a multifaceted issue affecting socioeconomic development, agricultural sustainability, and the overall well-being of its inhabitants. The imperative to assess, comprehend, and adapt to these risks is more critical now than ever, necessitating a detailed analysis of various climate-related parameters and their long-term implications.ReSAKS

    Advancing gender equality through agricultural and environmental research: Past, present, and future: Synopsis

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    Over the past decade, interest in gender equality and women’s empowerment has grown rapidly, creating a unique opportunity to institutionalize gender research within agricultural research for development. This book, edited by researchers from the CGIAR Gender Platform, reviews and reflects on the growing body of evidence from gender research. It marks a shift a way from a traditional focus on how gender analysis can contribute to improved productivity, flipping the question to ask, How does agricultural and environmental research and development contribute to gender equality and women’s empowerment? Chapters synthesize the wide range of CGIAR and other research in this area, covering breeding research and seed systems, value chain participation, nutrition-sensitive agriculture, natural resources, climate adaptation and mitigation, the “feminization” of agriculture, women’s role in agricultural research, and emerging gender transformative approaches.Non-PRIFPRI1; CRP2PIMCGIAR Research Program on Policies, Institutions, and Markets (PIM

    Pakistan: A cost-benefit analysis of puddled planted rice vs. direct seeded rice

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    Pakistan Agricultural Capacity Enhancement Program (PACE

    2023 PNG Rural Household Survey Report

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    From May to December 2023, the International Food Policy Research Institute (IFPRI) implemented a rural household survey that collected detailed data on rural household food consumption and expenditures, agricultural production practices, employment profiles, child and mother 24-hour diet recall, and child anthropometry measurements in Papua New Guinea (PNG). The research team carried out the survey, which used location-based sampling, across five agroecological study areas, of which four of the areas were defined using elevation and rainfall variation. The five agroecological survey areas were seasonal highlands, nonseasonal highlands, seasonal lowlands, nonseasonal lowlands, and islands (the islands survey sample was not disaggregated by elevation or precipitation patterns). In identifying seasonal and nonseasonal survey areas, we adapted the rainfall seasonality categories established by Bourke and Harwood (2009), who evaluated the relative difference in rainfall between the wet and the dry season using resource mapping units defined by the PNG Resource Information System (PNGRIS). The areas of the country that experience large seasonal variation in rainfall (heavy to light, depending on the season) are classified as seasonal, whereas the areas that experience moderate to continuously heavy rainfall throughout the year are classified as nonseasonal (see Figure A1.1 in the appendix for the survey seasonality classification by area). In nonseasonal areas, agricultural growing conditions remain similar year-round, whereas seasonal rainfall areas have agricultural conditions that necessitate a variety of production strategies. Lowland and highland areas were defined using elevation data; areas 1,000 meters or more above sea level were classified as highlands, and those below 1,000 meters were classified as lowlands.Non-PRDevelopment Strategies and Governance (DSG); Transformation Strategie

    Monitoring the Agri-food System in Myanmar: The rising costs of diets – March 2024 survey round

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    This research note presents the results of 26 rounds of interviews with food vendors in rural and urban areas throughout Myanmar conducted between June 2020 and March 2024. The purpose of the surveys is to provide data and insights on Myanmar’s food markets to interested stakeholders to foster better understanding of the effects of shocks related to COVID-19 and the ongoing political crisis. The focus of this research note is on changes in food prices and the cost of common and healthy diets.MyanmarSSPDevelopment Strategies and Governance (DSG); Transformation Strategie

    Myanmar Household Welfare Survey Round Six: Note on Sample Characteristics and Weighting

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    The sixth round of the MHWS was carried out between October 12, 2022, and December 30, 2022. In the fourth round, 12,924 households responded to the survey. Of those households, 4831 households were interviewed in the first, second, third and fourth round. Another 1,924 households were interviewed in Round 2, Round 3 and Round 4 only. Some 127 households rejoined the sample after being interviewed in Round 1 and Round 3. Finally, 3,724 households were added in Round 4 to replace the 2,928 households that dropped out of the sample after the third round. To replace the households that dropped out of the survey, the survey team called 6,641 new households. The households were selected randomly from the phone database, in the same townships as the attrition households, and retained if they had similar characteristics to the attrition households in terms of urban/rural, gender, farm and low education. If the survey team could not meet those criteria, they called households with similar characteristics from the same state/region. As many as 56 percent of new households called responded to the survey in Round 4, compared to only 31 percent of new households in Round 3. A big issue among both old and new respondents continues to be non-response, such as phones were not answered, powered off, or out-of-service, 39.5 percent of calls. For previous respondents, 36 percent of them did not respond to their phones, for any of those reasons, hence the high degree of attrition. Meanwhile, the refusal rate of new households remained low at 3 percent in Round 4 compared to 6 percent in Round 3. It is likely that phone connection and power outages were the main reason that phones were not answered- they were not on. Blackouts not only prevented many households from charging their phones, but also interrupted interviews, if the power was cut-off during the call.MyanmarSSPDevelopment Strategies and Governance (DSG

    IFPRI Malawi monthly maize market report, March 2024

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    The Monthly Maize Market Report was developed by researchers at IFPRI Malawi to provide clear and accurate information on the variation of maize prices in selected markets throughout Malawi. All prices are reported in Malawi Kwacha (K).MaSSPDevelopment Strategies and Governance (DSG

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