What comes first,agricultural growth or democracy?

Today, the international community faces two major development challenges: how to ignite growth and how to establish democracy. Economic research has identified two plausible hypotheses regarding this association. The first hypothesis emphasizes the need to start with democracy and institutions that secure property rights. The second hypothesis emphasizes the need to start with physical and human capital accumulation. In this article, we discuss some of the econometric evidence on the relationship between institutions, human capital, and agricultural productivity growth across developed and developing countries with the objective of finding support for one or the other hypothesis. We find that most variables used in the literature to capture the effect of institutions are not independent of the process of growth. While no evidence of causation from political institutions to agricultural productivity growth is found, human capital accumulation emerges as an important source of growth.     

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.     

Better Access to Water,Better Children's Health: A Mirage?

In Egypt, diarrhoeal diseases remain the main cause of mortality among young children, although the percentage of households with an “improved” access to water, according to the definition used by the World Health Organisation (WHO), is very high. This article seeks to shed light on this paradox, by better identifying the populations affected by problems of access to water, taking into account three dimensions—the time it takes to access a source of water, daily cut-offs and behaviour with respect to storage—and by applying alternative matching estimators to estimate the effects of defective water access on child diarrhoea. It is found that children whose families are identified as having a water access problem through the use of broader-based definitions have a greater likelihood of contracting diarrhoeal diseases. This article, thus, shows that the mortality of children in Egypt could be further reduced by improving households' access to water.     

Consistent poverty comparisons and inference

Building upon the cost of basic needs (CBN) approach, an integrated approach to making consumption-based poverty comparisons is presented. This approach contains two principal modifications to the standard CBN approach. The first permits the development of multiple poverty bundles that are utility consistent. The second recognizes that the poverty line itself is a random variable whose variation influences the degree of confidence in poverty measures. We illustrate the empirical importance of these two methodological changes for the case of Mozambique. With utility consistency imposed, estimated poverty rates tend to be systematically higher in rural areas and lower in urban areas. We also find that the true confidence intervals on the poverty estimates—those incorporating poverty line variance—tend to be considerably larger than those that ignore poverty line variance. Finally, we show that these two methodological changes interact. Specifically, we find that imposing utility consistency on poverty bundles tends to tighten confidence intervals, sometimes dramatically, on provincial poverty estimates. We conclude that this revised approach represents an important advance in poverty analysis. The revised approach is straightforward and directly applicable in empirical work.