Nutrition Incentives In Dairy Contract Farming In Northern Senegal

Health-related incentives to reward effort or commitment are commonplace in many professional contracts throughout the world. Typically absent from small-scale agriculture in poor countries, such incentives may help overcome both health issues for remote rural families and supply issues for firms. Using a randomized control design, we investigate the impact of adding a micronutrient-fortified product in contracts between a Senegalese dairy processing factory and its seminomadic milk suppliers. Findings show significant increases in frequency of delivery but only limited impacts on total milk delivered. These impacts are time sensitive and limited mostly to households where women are more in control of milk contracts.

We examine productive inefficiencies in dairy farming in pastoralist house-holds in Northern Senegal, and using laboratory games, measure the relation-ship between spousal cooperation and productive inefficiency directly. In house-holds that behave less cooperatively in the games, cows owned by men produce10.6% more milk per day than cows owned by women, a gap that remainslarge and statistically significant after controlling for household, owner, andcow characteristics. Our results suggest that frictions between spouses mayindeed explain gender gaps in productivity, and support the use of lab-basedmeasures of household cooperation to complement survey data in explainingcollective behaviors.

A monitoring and evaluation (M&E) system is of critical importance for evidence- and outcome-based planning and implementation in agriculture. The availability of and access to timely and reliable data to inform the M&E system is an undeniable asset. Our analysis highlights the use of survey data to generate relevant information and knowledge on the agricultural sector. The Poverty Monitoring Survey carried out in Senegal in 2011 is used to build the economic accounts for agriculture, which identify a value added of 581 billion CFA francs generated by Senegal’s farm households, representing 60 percent of the sector’s value added in 2011. The average farm household generated 646,500 CFA francs from farming in that same year. The information from the economic accounts for agriculture offers valuable inputs for decision-support tools such as the geographical information platforms (e-atlas) and social accounting matrixes used in strategic analyses and agricultural policy planning.

The paper uses a food systems approach to analyze the bidirectional relationships between climate change and food and nutrition along the entire food value chain. It then identifies adaptation and mitigation interventions for each step of the food value chain to move toward a more climate-smart, nutrition-sensitive food system. The study focuses on poor rural farmers, a population especially vulnerable to the adverse effects of climate change on nutrition, although we recognize that there are other vulnerable populations, including urban poor and rural populations working outside of agriculture. Although this report does not explicitly exclude overweight and obesity, it focuses primarily on undernutrition because this nutritional status is currently more prevalent than overnutrition among our target population.

The fifth Sustainable Development Goal—to “achieve gender equality and empower all women and girls”—reflects a growing consensus that these are key objectives of development policy in their own right, while also contributing to improved productivity and increased efficiency, especially in agriculture and food production. To deliver on this commitment to women’s empowerment in development calls for appropriate measures that can be used to diagnose the scope and major sources of disempowerment and to measure progress. The Women’s Empowerment in Agriculture Index (WEAI) is a survey-based tool codeveloped by the International Food Policy Research Institute (IFPRI), the Oxford Poverty and Human Development Initiative, and the U.S. Agency for International Development (USAID) (Alkire et al. 2013). The index was originally designed as a monitoring and evaluation tool for the U.S. government’s Feed the Future initiative to directly capture women’s empowerment and inclusion levels in the agricultural sector. Since its launch in February 2012, the WEAI has been implemented in the 19 Feed the Future focus countries. As with any new metric, pilot testing in a few selected countries with limited sample sizes is insufficient to demonstrate how the WEAI would perform when rolled out on a wider scale. Concerns expressed by users of the WEAI led to the creation of an abbreviated version—the A-WEAI. This paper begins by presenting a brief overview of the WEAI and its construction. It then proceeds to discuss (1) the background and motivation behind the creation of the A-WEAI; (2) the steps taken to develop the AWEAI— namely, cognitive testing and piloting of different modules, particularly those that were difficult to administer in the field; (3) analysis of the pilot data from Bangladesh and Uganda; (4) domain-specific comparisons of the different pilot versions; and (5) robustness checks and empowerment diagnostics from the A-WEAI as compared with the original WEAI. The paper concludes by summarizing the modifications to the original WEAI and discussing possibilities for further development of empowerment metrics based on the WEAI.

Prolonged civil wars can have long-lasting adverse effects on food systems, leading to poverty and food insecurity. Overcoming food insecurity and land inequality is particularly difficult because of the highly politicized nature of conflict. This paper builds on the existing literature on food sovereignty to ensure sustainable livelihoods and community ownership of a resilient food system. We identify components of community food security to be strengthened in a post war reconstruction context. We study the impacts of the civil war on food and land administration systems, farmer struggles and current transitional justice process in relation to community food security in the Northern and Eastern Provinces in Sri Lanka and identify the technological, institutional, organizational, and infrastructural setbacks caused by conflict. It explores how such setbacks could be rectified and a resilient food system could be built in the postwar scenario.

Estimating future demand for food is a critical aspect of global food security analyses. The process linking dietary changes to wealth is known as the nutrition transition and presents well-identified features that help to predict consumption changes in poor countries. This study proposes to represent the nutrition transition with a nonhomothetic, flexible-in-income, demand system, known as the Modified Implicitly Directly Additive Demand System (MAIDADS). The resulting model is transparent and estimated statistically based on cross-sectional information from FAOSTAT the statistical database of the Food and Agriculture Organization of the United Nations. It captures the main features of the nutrition transition: rise in demand for calories associated with income growth; diversification of diets away from starchy staples; and a large increase in caloric demand for animal-based products, fats, and sweeteners. The estimated model is used to project food demand between 2010 and 2050 based on a set of plausible futures (trend projections and Shared Socioeconomic Pathways scenarios). The main results of these projections are as follows: (1) global food demand will increase by 46 percent, less than half the growth in the previous four decades; (2) this growth will be attributable mainly to lower-middle-income and low-income countries; (3) the structure of global food demand will change over the period, with a 95 percent increase in demand for animal-based calories and a much smaller 18 percent increase in demand for starchy staples; and (4) the analysis of a range of population and income projections reveals important uncertainties depending on the scenario, the projected increases in demand for animal-based and vegetal-based calories range from 78 to 109 percent and from 20 to 42 percent, respectively.

Located at the heart of West Africa, Niger is a landlocked country with three-quarters of its territory covered by the Sahara Desert. Niger’s climate is mostly arid, and it is one of the least developed countries in the world. The vast majority of its population lives in rural areas, and the country is strongly dependent on agriculture. Agriculture is predominantly rainfed and yields rely on one rainy season. Although productivity in Niger has shown a positive trend, agriculture has been strongly affected in recent decades by several crises partly or entirely due to extreme weather events. Farmers pursue a number of strategies in the face of climatic (and nonclimatic) stressors including soil and water conservation methods such as barriers, terracing, and planting pits, and their adaptive capacity is deemed critical for estimating the economic impact of climate change. An understanding of climate change adaptation processes at the farm household level is therefore crucial to the development of well-designed and targeted mitigation policies. In this study, we use new data from Niger and regression analysis to study climate change adaptation through the digging of zaї pits and food production and the role of human capital measures therein. We find that adaptation is influenced by the perception that the frequency of droughts has increased and by the availability of financial resources and household labor. Adaptation is also influenced by educational attainment—both formal and Koranic school education. Adaptation of zaї pits is found to play an important role in food productivity. Our counterfactual analysis reveals that even though all households would benefit from adaptation, the effect is found to be significantly larger for households that actually did adapt relative to those that did not, indicating that the prospects of closing the productivity gap through encouraging adaptation in less well-endowed households are limited.