School Meal Programs in Africa: Regional Results From the 2019 Global Survey of School Meal Programs.

Introduction: School meal programs operate throughout Africa, serving as a social safety net and aiming to improve children's nutrition, influence their dietary choices, and strengthen the agrifood economy through local procurement. Despite their rapid expansion in the past decade, there has been no systematic effort to comprehensively document school feeding activities across the continent. Methods: Detailed information on school feeding activities in each country was captured in the Global Survey of School Meal Programs©, which launched in 2019. An invitation to participate was extended to each government, which appointed a national-level respondent to gather information on every large-scale school meal program in the country. Results: Forty-one countries in Africa (38 in sub-Saharan Africa) responded to the survey in 2019 with information on 68 large-scale programs that together reached 60.1 million children. Across these countries, the aggregate school feeding budget was USD 1.3 billion. Diversity in school meal programs is evident across regions, country income levels, and levels of national commitment. Coverage rates tended to be highest in southern Africa, in countries with school feeding as a line item in the national budget, and in countries with the greatest domestic share of the school feeding budget. Diversity in the school menu tended to be greatest in programs that sourced food through domestic purchase rather than relying on foreign in-kind donations. To address micronutrient malnutrition, about two-thirds of the programs served fortified foods, and one-quarter included micronutrient supplements. Even as rates of overweight/obesity are rising among African school children, just 10% of school meal programs identified its prevention as an objective. Conclusion: The extent to which school meal programs in Africa are supported with domestic funding reflects a dramatic shift in favor of national ownership and domestic food procurement. At the same time, programs have grappled with inadequate and unpredictable budgets and challenges related to supply chains and logistics-impediments that need to be addressed if these programs are to achieve their objectives. Overall, the survey results underscore the important position of school meal programs within African food systems and their potential (if well-designed) to sustainably improve food security, child health, and nutrition.

Trends in Tobacco Production and Prices in Malawi.

INTRODUCTION: Diversification away from tobacco production has been identified as a priority for Malawi, historically one of the world's most tobacco-reliant countries. METHODS: This paper refers to a nationally representative data set to characterize broad trends in production since 2000 to understand whether Malawi is shifting away from tobacco and how production has changed over time. RESULTS: From 2004 to 2019, the share of Malawian crop farmers producing tobacco fell from 16% to 5%, and tobacco's share of the total value of crop production also declined sharply. Tobacco farms are generally growing larger (in size and scale of production) over time. However, land productivity remains low, with net returns of 93 000 MWK (128 USD) per hectare at the median. Farm-gate prices for tobacco have declined relative to the prices of maize or fertilizer, rendering tobacco a less lucrative avenue to generate the cash income needed to purchase these key items. In addition, the share of the export price received by farmers has also declined over time, with the median farm-gate price representing 32% of the export price in 2004 and 18% in 2019. CONCLUSIONS: In some respects, a transition away from tobacco has already occurred. Additional research is needed to understand why the farm-gate share of tobacco export prices has declined over this period and how the livelihoods of smallholder farm-households that exited tobacco production have been affected. IMPLICATIONS: To the extent that tobacco prices appear to be declining, there is a need to rigorously assess whether farmers have suitable crop alternatives (with established markets) and other livelihood options. Likely, investments are yet needed to foster strong alternatives to tobacco; such investments include research and development in on-farm technologies to raise the productivity of non-tobacco crops, as well as improvements in non-tobacco value chains to reduce transportation costs and promote private investment.

Definitions of "rural" and "urban" and understandings of economic transformation: Evidence from Tanzania.

Designing effective policies for economic development often entails categorizing populations by their rural or urban status. Yet there exists no universal definition of what constitutes an "urban" area, and countries alternately apply criteria related to settlement size, population density, or economic advancement. In this study, we explore the implications of applying different urban definitions, focusing on Tanzania for illustrative purposes. Toward this end, we refer to nationally representative household survey data from Tanzania, collected in 2008 and 2014, and categorize households as urban or rural using seven distinct definitions. These are based on official administrative categorizations, population densities, daytime and nighttime satellite imagery, local economic characteristics, and subjective assessments of Google Earth images. These definitions are then applied in some common analyses of demographic and economic change. We find that these urban definitions produce different levels of urbanization. Thus, Tanzania's urban population share based on administrative designations was 28% in 2014, though this varies from 12% to 39% with alternative urban definitions. Some indicators of economic development, such as the level of rural poverty or the rate of rural electrification, also shift markedly when measured with different urban definitions. The periodic (official) recategorization of places as rural or urban, as occurs with the decennial census, results in a slower rate of rural poverty decline than would be measured with time-constant boundaries delimiting rural Tanzania. Because the outcomes of analysis are sensitive to the urban definitions used, policy makers should give attention to the definitions that underpin any statistics used in their decision making.

Methods of crop yield measurement on multi-cropped plots: Examples from Tanzania.

Precise agricultural statistics are necessary to track productivity and design sound agricultural policies. Yet, in settings where multi-cropping is prevalent, even crop yield-perhaps the most common productivity metric-can be challenging to measure. In a survey of the literature on crop yield in low-income settings, we find that scholars specify how they estimate the area denominator used to measure yield in under 10% of cases. Using household survey data from Tanzania, we consider four alternative methods of allocating land area on multi-cropped plots, ranging from treatment of the entire plot as the yield denominator to increasingly precise approaches that account for the space taken up by other crops. We then explore the implications of this measurement decision for analyses of yield, focusing on one staple crop that is often grown on its own (rice) and one that is frequently found on mixed plots and in intercropped arrangements (maize). A majority (64%) of cultivated plots contain more than one crop, and average yield estimates vary with different methods of calculating area planted-particularly for maize. Importantly, the choice among area methods influences which of these two crops is found to be more calorie-productive per hectare. This choice also influences the statistically significant correlates of crop yield, such that the benefits of intercropping and including legumes on a maize plot are only evident when using an area measure that accounts for mixed cropping arrangements. We conclude that the literature would benefit from greater clarity regarding how yield is measured across studies.

Climate Trends and Farmers' Perceptions of Climate Change in Zambia.

A number of studies use meteorological records to analyze climate trends and assess the impact of climate change on agricultural yields. While these provide quantitative evidence on climate trends and the likely effects thereof, they incorporate limited qualitative analysis of farmers' perceptions of climate change and/or variability. The present study builds on the quantitative methods used elsewhere to analyze climate trends, and in addition compares local narratives of climate change with evidence found in meteorological records in Zambia. Farmers offer remarkably consistent reports of a rainy season that is growing shorter and less predictable. For some climate parameters-notably, rising average temperature-there is a clear overlap between farmers' observations and patterns found in the meteorological records. However, the data do not support the perception that the rainy season used to begin earlier, and we generally do not detect a reported increase in the frequency of dry spells. Several explanations for these discrepancies are offered. Further, we provide policy recommendations to help farmers adapt to climate change/variability, as well as suggestions to shape future climate change policies, programs, and research in developing countries.