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Policy briefSustaining school enrolment when rains fail
Evidence from Malawi
2022Also available in:
No results found.Emerging evidence suggests that rural children, particularly older girls in low-income countries, are at risk of being withdrawn from school when weather-related disasters occur. Identifying actions that mitigate the adverse effects of weather shocks on school enrolment, therefore, is critical for sustaining equitable human capital formation in the context of climate change. In this paper, we use four waves of household and community panel survey data, merged with long-term, spatially explicit rainfall data to investigate whether access to school feeding programmes (SFP) in Malawi supports primary school enrolment when weather shocks occur. -
BookletGuidance note on gender-sensitive vulnerability assessments in agriculture 2018
Also available in:
No results found.This guidance note was developed to support development and humanitarian practitioners in carrying out a gender-sensitive vulnerability assessment, in order to identify and address the main sources of vulnerability of men and women in the agriculture sector. The note describes what are the main constraints that male and female farmers face in the agriculture sector, with a focus on climate change. It also provides an overview of available sources and methodologies to collect and analyze sex-disaggregated data. The specific aspects of climate change and targeted outcomes for men and women can vary widely across diverse areas, so this note discusses data sources and empirical approaches that can be applied across different contexts. -
Book (stand-alone)Farmer Field School monitoring, evaluation and learning scoping survey
Overview of main results
2025Also available in:
No results found.Monitoring, evaluation and learning (MEL) is an essential component of any programme or project that aims to continuously improve and provide better outcomes. The ultimate purpose of MEL is to track implementation and outputs systematically, measure their effectiveness and allow learning with the aim of improving the quality and effects of Farmer Field School (FFS) implementation while ensuring accountability to beneficiaries and donors. A sound MEL system further helps to track the progress of any project and offers evidence upon which mid-course correction in a programme can be made with a goal of achieving the project objectives and impact targets. This system is built on the premise that the data is of high quality including timeliness, representativeness and reliability; the entire data management process is critical to ensure proper and systematic data collection for decision-making and programme improvement. To ensure systematic high-quality data management processes for MEL systems, the adoption, adaptation and utilization of digital systems becomes critical. Digital systems have proven importance in enhancing real-time data collection, collation and tabulation, which further enables timely evidence-based decision-making and feedback mechanisms. This also contributes to timely learning and quality improvement of the project, as well as accelerated feedback mechanisms to the beneficiaries and various stakeholders, ultimately ensuring improved results.
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