National governments, especially in sub-Saharan Africa, have limited budgets and are forced to make difficult funding decisions regarding the provision of social services and the support of agricultural programs. These provisions can play a critical role in rural incomes and agricultural production but due to data constraints, the effects of different types of social services on agricultural productivity in this region have not been analyzed in detail.
Botswana has been one of the worlds fastest growing economies over the past 50 years, allowing the country to move from being among the poorest to upper middle income status - this has had the effect of pulling the majority of the population out of poverty. While Botswana is rightly praised for its management of resource wealth, it is apparent that the high levels of investment by government (in health, education, and infrastructure) are not delivering quality outcomes, making it increasingly difficult to meet the objectives of growth, diversification, and poverty elimination.
Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostlywithout considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oilpalm sector of Ghana, explicitly differentiating between two types of contracts,namely simple marketing contracts and more comprehensive resource-providing contracts.
This document provides an investment plan for climate-smart agriculture (CSA) in Côte d’Ivoire, developped with support of the Adaptation of African Agriculture (AAA) Initiative and the World Bank, and technical assistance of the CGIAR Research Program on Climatre Change Agriculture and Food Security (CCAFS). It identifies specific interventions that define on-the-ground actions that are consistent with Côte d’Ivoire’s NDC and National Agricultural Investment Plan II (2017-2025), which can be funded by public- and private-sector partners.
This document is designed to help researchers apply RCTs so they can gain a more accurate insight into the impacts of different extension strategies in different locations. It provides information on the benefits of an RCT approach in comparison to other impact evaluation models; provides a step-by-step implementation guide and a framework to avoid challenges; and demonstrates how an RCT approach was implemented within the context of the ‘Mind the Gap’ initiative.
Fairtrade certification has recently gained in importance for various export crops produced in developing countries. One of Fairtrade's main objectives is to improve the social conditions of smallholder farmers. Previous research showed that Fairtrade has positive effects on farmers' sales prices and incomes in many situations. However, more detailed analysis of the effects on food security and other dimensions of household living standard is rare.
Smallholder farmers in developing countries often suffer from high risk and limited market access. Contract farming may improve the situation under certain conditions. Several studies analyzed effects of contracts on smallholder productivity and income with mixed results. Most existing studies focused on one particular contract scheme. Contract characteristics rarely differ within one scheme, so little is known about how different contract characteristics may influence the benefits for smallholders.
It is often assumed that voluntary sustainability standards – such as Fairtrade – could not only improve the socioeconomic wellbeing of smallholder farmers in developing countries but could also help to reduce negative health and environmental impacts of agricultural production. The empirical evidence is thin, as most previous studies on the impact of sustainability standards only focused on economic indicators, such as prices, yields, and incomes.
Recent research has analyzed whether higher levels of farm production diversity contribute to improved diets in smallholder farm households. We add to this literature by using and comparing different indicators, thus helping to better understand some of the underlying linkages. The analysis builds on data from Indonesia, Kenya, and Uganda. On the consumption side, we used 7-day food recall data to calculate various dietary indicators, such as dietary diversity scores, consumed quantities of fruits and vegetables, calories and micronutrients, and measures of nutritional adequacy.
Objective
The association between farm production diversity and dietary diversity in rural smallholder households was recently analysed. Most existing studies build on household-level dietary diversity indicators calculated from 7d food consumption recalls. Herein, this association is revisited with individual-level 24 h recall data. The robustness of the results is tested by comparing household- and individual-level estimates. The role of other factors that may influence dietary diversity, such as market access and agricultural technology, is also analysed.