33 pages, A key factor in determining the future of agricultural extension efforts is ensuring that the voices of those who need to be heard are represented at all stages of the decision-making process. As agricultural extension becomes increasingly globalized, it is critical that the diversity of voices represented within capacity assessments likewise increases. Using two distinct approaches, the present study attempts to address a current gap within the extension literature specifically related to extension assessment respondent groups. First, 97 extension related assessment manuscripts were identified during a literature review and analyzed for respondent group. The results indicated most studies included only one respondent group. Among these assessments clientele and Beneficiaries and Formal Power Roles were the respondent group categories most frequently examined. Next, a primary study was conducted to identify which respondent groups should be represented in capacity assessment according to agricultural extension experts. The panelists had the highest level of agreement regarding the inclusion of extension clientele and beneficiaries within capacity assessments. However, panelists agreed that representation from outside influences and formal power roles were also important to include in the capacity assessment process. The results indicate extension networks should purposively include a diverse set of respondents when conducting assessments to ensure a comprehensive perspective is represented.
35 pages, Mozambique remains predominantly poor. The official statistics show that poverty incidence barely changed from 54% in 2002–03 to 55% in 2008–09, which stands way above the government's target of 45% by the year 2009. This places the country off-target to cut hunger and poverty by half by 2015, despite an annual economic growth of about 7% in the period 1994–2010. In rural areas, poverty levels have slightly increased, due to the underperformance of the agricultural sector. Extension services can have a significant impact on poverty reduction through stimulating growth in agricultural productivity. Based on a nationally representative household survey from Mozambique, this paper uses three econometric models, namely an OLS regression, the doubly robust estimator and matching and regression to estimate the economic impact of receipt of extension. The results suggest that the receipt of extension increases farm incomes by 12%. However, rather than crafting resource-poor technologies, extension services tend to target wealthier households who are relatively more likely to adopt the existing technologies. This might increase income inequality. The impact of extension, and therefore its contribution to poverty reduction, can be enhanced through several mechanisms (e.g., programme design and the number of staff).
