Do input subsidy programs “crowd in” or “crowd out” commercial market development? Modeling fertilizer demand in a two‐channel marketing system

Many governments in developing countries distribute fertilizer at subsidized prices in an effort to stimulate small farmers' agricultural productivity and food security. Prior fertilizer demand studies have largely failed to account for the effects of government programs on farmers' commercial purchases. Using a double hurdle model and nationally representative rural household panel data in Zambia, we distinguish between these sources and measure the contemporaneous \"crowding in\" and \"crowding out\" effects of government input programs on commercial fertilizer sales. Where the private sector is relatively active and average wealth is higher (areas seemingly more likely to be targeted by government programs), results indicate that subsidies have substantially crowded out the private sector, in some cases to the point that such programs could actually lower overall fertilizer use. On the other hand, in poorer areas where the private sector is relatively inactive, subsidies help to generate demand and crowd in private sector retailers. Empirical studies explicitly modeling farmers' fertilizer purchase behavior within a dual marketing framework can provide important insights for agricultural policy discussions in developing countries.     

The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana

This study employs the propensity score matching model to examine the impact of the adoption of water conservation and intensification technologies on farm output and income among small-scale lowland rice farmers in the Northern Region of Ghana. The matching was conducted based on the Mahalanobis distance combined with the propensity score. Balancing tests by checking the mean standardized absolute bias in the matched sample were conducted as well as a sensitivity analysis was conducted to check for hidden bias due to unobservable selection. The empirical results show a positive and significant impact of the adoption of bunds technology on input demand as well as a positive but insignificant impact on output supply and net returns. Adopters of the dibbling technology were found to have higher output supply, whereas no statistically significant difference was found between the incomes of adopters and nonadopters of dibbling seed method. The results, however, reveal a positive and significant effect on output and net returns when the dibbling method is combined with intensified weeding. The estimates were found to be relatively insensitive to hidden bias.     

The impact of coffee price changes on rural households in Uganda

Employing household survey data covering the periods 1992–1993, 1995–1996, and 1999–2000, this article shows for the case of Uganda that a coffee market liberalization followed by a price boom was associated with substantial reductions in poverty, which could even be sustained when prices went down again. Coffee is not planted by the richest farmers and the gains from higher coffee prices accrued to poorer and richer coffee farmers alike. Nor were poorer farmers hurt disproportionately when prices fell. In addition, we find strong spillovers from coffee production to other agriculture, which tends to favor the poor, and to nonagricultural activities. These multiplier effects are concentrated in coffee regions. In an economic environment characterized by a booming agricultural sector, coffee farmers were able to accommodate the negative price shock, in particular through agricultural diversification. General agricultural growth also cushioned possible negative multiplier effects in coffee regions. Overall, the case of coffee in Uganda thus lends support to the view that agricultural trade liberalization is beneficial for the poor.