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This report reviews approaches to results measurement used by multilateral and bilateral donor organizations and highlights trends and gaps in how donors measure and report on their performance. Our review consists of assessing donor organizations in terms of their institutional design and levels of evaluation for results measurement, their organizational processes for measuring types of results including coordination and alignment with recipients, outputs and implementation, outcomes and impacts, and costs and effectiveness, and their processes for reporting and using results information. We collect evidence on 12 bilateral organizations and 10 multilateral organizations. The evidence review includes multi-country reviews of aid effectiveness, peer reviews by other donor organizations, donor evaluation plans and frameworks, and donor results and reporting documents. The report is based on an accompanying spreadsheet that contains the coded information from the 22 donor organizations. We find that donors report several types of results, but that there are challenges to measuring certain results at the aggregate donor level, due to challenges with funding and coordination for results measurement at the project, country, portfolio, and donor levels. Approaches to results measurement vary across donor organizations. We identify some trends and differences among groups of donors, notably between bilateral and multilateral donors, but overall there are no clear delineations in how donors approach results measurement.
Aid results information is often not comparable, since monitoring and evaluation frameworks, information gathering processes, and definitions of “results” differ across donors and governments. This report reviews approaches to results monitoring and evaluation used by governments in developing countries, and highlights trends and gaps in national monitoring and evaluation (M&E) systems. We collect evidence on 42 separate government M&E systems in 23 developing countries, including 17 general national M&E systems and 25 sector-specific national M&E systems, with 14 focused on HIV/AIDS, 8 on health, and 3 on agriculture. The evidence review includes external case studies and evaluations of M&E systems, government M&E assessments, M&E plans, strategic plans with an M&E component, and multi-country reviews of M&E, accountability, and aid effectiveness. We evaluate harmonization of government and development partner M&E systems, coordination and institutionalization of government M&E, challenges in data collection and monitoring, and analysis and use of results information. We also report on key characteristics of M&E systems in different sectors.
This brief presents a comparative analysis of men and women and of male- and female-headed households in Tanzania using data from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We compare farm activity, productivity, input use, and sales as well as labor allocations by gender of the respondent and of the household head. In households designated “female-headed” a woman was the decision maker in the household, took part in the economy, control and welfare of the household, and was recognized by others in the household as the head. For questions regarding household labor (both non-farm and farm), the gender of the individual laborer is recorded, and we use this to illustrate the responsibilities of male and female household members. An appendix provides the details for our analyses.
As a source of employment for over 20 million Sub-Saharan African (SSA) farmers and the fastest-growing food source in Africa, rice plays a vital role in African economies and daily life. Women play a substantial role in SSA rice production and rely heavily on the income it generates. Not recognizing this role has often resulted in development and research projects failing to address women’s well-being and also failing to achieve project and development goals. Female farmers in SSA have been less likely than male farmers to adopt productivity-enhancing rice technologies such as improved seeds, fertilizer, pesticides, or small machinery, even when those technologies are designed specifically to help women. A more complete understanding of the dynamics and diversity of gender roles in rice farming is necessary to improve the likelihood of successful interventions. This brief provides an overview of the role of women in rice production, and provides a framework for analyzing technology’s impact on women throughout the cropping cycle. We find that labor constraints, low education levels, cultural inappropriateness, and asymmetric access to resources all contribute to low adoption of rice technology by women. In order to fully realize the poverty reduction benefits of increased rice production in SSA, evidence suggests that research and extension programs must consider how interventions will affect women along every stage of the production chain. The effect on women and their households will vary depending on region, culture, ethnicity, socio-economic status, and role in cultivating rice.