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.
pgs. 11275-11284, Via online journal, The way in which farm managers' attitudes, personality, behavior, values, and sociodemographic characteristics influence farm business performance is, at best, only partially understood. The study reported here expands on this understanding by analyzing the attitudes and personal attributes of 80 dairy farmers in Great Britain in relation to the profitability over 3 yr of their farm businesses. Business goals, temperament, purchasing behavior, and having a growth mindset toward the business were found to be associated with profitability. A linear regression model consisting of 5 variables related to the above was presented that predicts 34% of the observed variation in profitability. Each of these variables were questions related to the participants' personal attitudes or beliefs. Other assessed variables, such as specific husbandry behaviors or practices, or management practices and sociodemographic characteristics, did not warrant inclusion in the final model. These results uniquely contribute to understanding how the attitudes, personality, behaviors, and attributes of dairy farmers are associated with, and thus likely to influence, the profitability of their farm businesses.
