21 pages, In this study we explain the concepts, determinants and imperatives of boundary in smallholder producers’ cooperatives both conceptually and empirically. The conceptual framework indicates the importance of the type of goods (being a club good or not) and range of activities that a cooperative provides to its members in defining a competitive boundary. Using unique organisational and market level data from Ethiopia, we then test empirically whether the observed (weak) performance of producers’ cooperatives in Africa is explained by their organisational boundary – the type and range of goods or services they provide to members. The empirical results confirm that the competitiveness of producers’ cooperatives is significantly correlated with the type and number of services – i.e. cooperatives that provide club goods and a limited range of services are found to be more competitive. The results also suggest that a considerable number of cooperatives in Ethiopia engage in markets where they do not have competitive advantage. Overall, we demonstrate the importance of properly defining a viable boundary – proper selection of services (or markets) and limiting the range of services – for improving the competitiveness of membership-based producer cooperatives in Africa.
20 pages, One of the main drivers of food insecurity is pests, which are estimated to cause around 40% of crop losses worldwide. We examine the food security effects of plant clinics, a novel agricultural extension model that aims to reduce crop losses due to pests through the provision of demand-driven plant health diagnostic and advisory services to smallholder farmers. The study is based on survey data from maize-growing households in Rwanda, where 66 plant clinics have been established. Using switching regression and matching techniques as well as various food security metrics, including the food insecurity experience scale, we find evidence that participation in plant clinics is significantly associated with a reduction in household food insecurity. For instance, among the participating households, plant clinics contribute to a decrease in the period of food shortage by one month and a reduction in the severity of food insecurity by 22 percentage points. We also show that these effects are more pronounced for female-headed households. Overall, our findings suggest that plant clinics can play an important role in achieving the Sustainable Development Goal 2 of zero hunger.
13pgs, This article examines the effects of neighborhood on the farmer's technical efficiency (TE) level, adopting a stochastic frontier and spatial Durbin regression models. Our study exploits a three-wave household-level panel data from the Ethiopian Rural Socioeconomic Survey (ERSS) collected between 2011 and 2015. We find that farmers have an average TE score of 53%, implying a substantial potential for improvement in the production level. We further find that there is a positive and statistically significant spatial interdependence in TE levels between farms in neighboring communities. Input use, education, and other demographic characteristics are found to have significant positive direct and indirect effects. The findings suggest that policies and programs targeting productivity improvements in agriculture need to consider spatial spillover effects.
14pgs, As an unobservable attribute, food safety is likely to be under-provided by markets where regulatory enforcement is weak. In such settings, stimulating consumer demand for safer food can potentially encourage market actors to invest in food safety. Through a randomized trial in Kenya, we test the impact of informing consumers about which maize flour brands are most likely to comply with the regulatory standard for aflatoxin, a carcinogenic fungal byproduct. Providing information on safer brands alone does not significantly affect consumption behavior. However, when the same information is combined with a test performed on the maize flour stocked by the household, the likelihood that a safer brand is consumed 2 months later is 76% higher than in the comparison group. Our findings suggest that providing information on the relative riskiness of substitute foods could encourage consumers to make safer choices.
31pgs, This article aims at investigating the impact of financial supports from agricultural policy on farm-size dynamics. Since not all farms may behave alike, a non-stationary mixed-Markov chain modelling (M-MCM) approach is applied to capture unobserved heterogeneity in the movements of farms across economic size (ES) classes. A multinomial logit specification is used for transition probabilities and the parameters are estimated by the maximum likelihood method and the Expectation-Maximisation (EM) algorithm. An empirical application to an unbalanced panel from 2000 to 2018 shows that French farming consists of ‘almost stayers’, with a high probability of remaining in the same ES class over time, and ‘likely movers’, which present a higher probability of a change in size. The results also show that the impact of subsidies and other economic factors depends greatly on the type that a farm belongs to. These findings confirm that individual characteristics of farmers may be relevant for policy efficiency and more attention should thus be paid to unobserved farm heterogeneity in both policy design and the assessment of their impacts on farm-size dynamics.
