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Despite improvements in production incentives, agricultural output in Africa remained sluggish through the 1990s. Low use of purchased inputs may be part of the cause of persistently low productivity in African agriculture. This article analyzes the roles of relative prices and transactions costs in explaining low use of chemical inputs among Tanzanian coffee growers. A sample selection model indicates that output prices exert great influence on input purchases and that both fixed and variable transactions costs affect input use decisions. Travel costs in input and output markets have distinct effects on input usage, implying distinct avenues for interventions to promote more intensive use of agricultural inputs. [ABSTRACT FROM AUTHOR]

Presents a study on commodity market liberalization in the Tanzanian coffee market. Description of the coffee system; Contracts and transaction costs in the liberalized market; Assessment of changes in transaction costs.

Whether market liberalisation can promote agricultural development in Africa depends on how well existing institutions can facilitate trade by private agents. This article assesses the performance of the Tanzania coffee marketing system after liberalisation and the emergence of private, vertically integrated exporters (VIEs). Increasing producer prices, declining marketing margins, and the continued provision of a useful auction for coffee that is delivered by traders who are not VIEs all suggest a degree of success for liberalisation. The presence of VIEs seems to have provided investment to reduce marketing costs, whilst a sufficient number of competing firms has limited non-competitive behaviour in the market for coffee that is traded at the auction by non-VIEs. [ABSTRACT FROM AUTHOR]

This analysis is motivated by recognition that anti-poverty interventions often affect both the level and composition of assets held by beneficiaries. To assess the conventional view that assets uniformly improve childhood development through wealth effects, we use three waves of panel data from Tanzania and test whether different types of assets have differential effects on children’s educational outcomes. Our results indicate that household durables and housing quality have positive effects, but agricultural assets have adverse effects on children’s highest grade completed and exam performances. We use a Hausman-Taylor instrumental variable (HTIV) panel data estimator to identify the effects of both time-varying and time-invariant endogenous variables. We find that the negative effect of agricultural assets is driven by large agricultural equipment and livestock ownership and the negative effect is more pronounced among rural children, poor children, and children from farming households, presumably due to the higher opportunity cost of schooling. [ABSTRACT FROM AUTHOR]