Background: Somalia is affected by a civil war and a protracted humanitarian crisis for more than two decades. The international community has put in place nutrition surveillance systems to monitor the situation and inform decisions. However, the indicators commonly used to identify acute malnutrition, weight-for-height Z-score (WHZ) and mid upper arm circumference (MUAC), do not always converge in their estimations of acute malnutrition, creating challenges for decision making. Furthermore, the divergences are not consistent across livelihood populations within the country. We explored the MUAC-forage Z-score (MUACAZ) as an alternative indicator in Somalia to minimize the discrepancy. Methods: We analyzed data from nineteen cross-sectional surveys conducted in Somalia between 2007 and 2016. We compared the acute malnutrition prevalence estimates by each of the indicators and the degree of overlap in the individual diagnosis of acute malnutrition between the WHZ and the MUAC-based indicators. We performed multivariate regression analysis with sex, age and stunting as independent variables and acute malnutrition as the dependent outcome, defined by WHZ, MUAC or MUACAZ. We performed all the analysis in the population overall and in each of the livelihood populations separately. Results: A total 255,623 measurements of children 6-59 months of age were analyzed. The overall prevalence of global acute malnutrition by MUACAZ (15.8%) was similar to the one obtained using WHZ (16%), whereas prevalence based on MUAC was much lower (7.8%). These patterns of divergence were sustained throughout the nineteen surveys and the livelihoods studied, with only few exceptions. However, the proportion of overlap in the individual diagnosis of children as acutely malnourished was low between WHZ and absolute MUAC diagnosis (18.1%) and also between WHZ and MUACAZ (28.3%). Results show that age, sex and stunting status of the child affected the likelihood of being diagnosed as acutely malnourished to varying degrees, depending on the indicator used.

Background: Malnutrition and food insecurity are major challenges in Somalia, particularly among small children living in internally displaced person (IDP) camps. Poor diet has been identified as a key driver of malnutrition in young children who depend for their diets on their household’s socioeconomic standing and access to food, as well as on the family’s caring and feeding practices. Objective: To assess the dietary diversity and identify the factors associated with it among children (6-23 months) in Somalian IDP camps. Methods: We used a cross-sectional survey conducted in 11 IDP camps in Somalia in June 2014 and in June 2015. A total of 3188 children aged 6 to 23 months were surveyed. Child diets were assessed using food frequency questionnaires, and dietary diversity was categorized using the minimum child dietary diversity (MDDC) indicator. Multivariable logistic regressions were used to identify the factors associated with the children’s dietary diversity. We built and compared 2 models using alternatively the household dietary diversity score (HDDS) and the food consumption score (FCS) as food security proxies. Results: Around 15% of children in IDP camps reached the minimum dietary diversity. Overall, our results confirm that not only are food security proxies the factors most associated with MDDC, but HDDS performs better than FCS. In addition, results identify that women as key decision-maker in the household, duration of household permanence in the settlement, women’s physiological status, frequency of milk feeding to child, type of toilet, and measles vaccination are positively associated with MDDC. Conclusions: To improve child dietary diversity in IDP camps, food security interventions should be broadened to include female empowerment and inclusive nutrition education (encouraging male participation) programs, as well as initiatives targeting children who do not live with pregnant or lactating women and that can support families beyond the first months after their arrival.

This paper investigates the impact of Covid-19 pandemic on food waste using an original dataset from 176 agrifood business operators in the European Union (EU). Our objective is to assess whether and why the pandemic crisis affected food waste level. Unlike previous studies that addressed the issue at a consumer level, our research focuses on pre-consumption waste covering stages of the agrifood supply chain from input suppliers to retailers. Considering the importance of waste reduction for the sustainability of food production, the study provides an insight into the ability of the agrifood supply chain to cope with a major shock and its resilience. A multinomial logit regression model is used to estimate the effect of Covid-19, testing whether the ability to innovate, the role in the supply chain, the magnitude of the shock and policy support were drivers of changes in food waste. We find that three main factors affect the change in a firm’s food-waste level during the Covid-19 pandemic: The magnitude of the disruption of the sale channel, the firms’ ability to adapt the business model to the new pandemic environment, and the adoption of public policies mitigating the lockdown effects. The first driver was associated with an increase in food waste, while the others were associated with a decrease.

The paper illustrates the application of the regional quasi-experimental estimation approach to estimate impacts of the Rural Development Programme (RDP) on the performance of the food processing sector in Poland. It brings several advantages compared with estimations based on firm data by capturing the RDP effects on non-supported firms and measures targeting overall development of rural areas; it provides a more accurate aggregate regional policy impacts; and it partially addresses the bias caused by general equilibrium effects. The application of the approach to Polish regional data shows that the RDP impacts structural change and employment in the food processing sector in Poland.

It is commonly asserted that unfair trading practices (UTPs) emerge largely as a result of contract incompleteness. In line with this view it is claimed that making contracts more complete will represent an antidote to UTPs. In this paper we argue that this does not need to be the case. This is because contracts, except for their potential to increase the surplus generated in the transaction, determine how this surplus will be divided. This, in turn, makes it possible for both trading partners to use contractual terms to turn the distributional conflict to their advantage. In the presence of unequal distribution of bargaining power this may lead to a situation in which the stronger party may succeed in tilting the contract in its favour by including UTPs in the contract content. Drawing insights from data collected in 2017 through a field survey among dairy farmers in France, Germany, Poland and Spain, we find support for this argument. Our estimation results show that contract completeness increases the likelihood of farmers reporting that their contracts with processors include the practices that may be considered as UTPs. Further, and also in line with this argument, contract completeness does not seem to affect UTPs during the contract execution or its termination.