Do low-income households in Tanzania derive income and nutrition benefits from dairy innovations?

Irish Ai

Evaluating value chain interventions: A review of recent evidence

Value chain interventions are rarely evaluated as rigorously as interventions in agricultural production or health. This is due to various reasons, including the intrinsic complexity of value chain interventions, intricate contextual support factors, presence of multilevel system actors, constant adaption to market and nonmarket forces and the cost associated with conducting an evaluation. This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects. Instrumental variables and difference-in-difference approaches are the common empirical approaches used for mitigating selection bias due to unobservables. More meaningful value chain impact evaluations should be prioritized from the beginning of any project and a significant amount of rigor should be maintained; targeting a good balance of using model-based and theory-based approaches

Determinants of Wellbeing Among Smallholders in Adjumani District, Uganda

An ordered logistic regression model was used to empirically establish the quantitative effects of community identified (local) determinants of wellbeing on the level of household wellbeing. The model was fitted to data for a sample of 200 households collected in the last quarter of 2002. The dependent variable, poverty category, has three levels namely poorest =1, Less poor =2, and Better off =3. Fourteen independent variables are used. Results show that households that own less than 5 acreage of land, that are male headed, have a nonagricultural source of income and are actively involved in agricultural development activities have a higher probability (odds) of enjoying wellbeing above any given level. Land ownership seems to be the most important determinant of wellbeing in Adjumani district. Furthermore, owning livestock and having a household head with an education level of secondary school and above are also important determinants of household wellbeing in Adjumani district. We find household wellbeing to be negatively affected by household size, age of the household head and whether any family member has had any long illness although only the age of the household is significant. We recommend deepening of the Universal Primary Education (UPE) and initiation of Universal Secondary Education to increase the education levels of the rural people. We also recommend continued and expansion of community level agricultural development activities, strengthening of the land tenure provisions to enhance access to land and initiation of programs to enhance animal ownership among small holder farmers in Adjumani.Adjumani, poverty analysis, DASS, ordinal logit, Consumer/Household Economics,