This paper documents some of the main features of price-setting behaviour by retail outlets in Lesotho over the period March 2002 to December 2009. These features include the frequency, size, duration and synchronisation of price changes. In addition, the paper compares price-setting behaviour in Lesotho and South Africa using a comparable set of products. The findings reveal considerable heterogeneity in price-setting behaviour across products, outlets, locations and time. Variations in inflation are strongly correlated with the average size of price changes, but rising inflation raises the frequency of price increases and reduces the frequency of price decreases. Price decreases constitute an important determinant of inflation movements. Surprisingly, the frequency and size of price changes in Lesotho differ substantially from those in South Africa, despite the presence of common retail chains and their joint membership in a customs union and common monetary area. These findings open up opportunities for further research into the sources of heterogeneity across products and Lesotho and South Africa in the setting of prices. JEL Classification: E31, D40, D21, L21

PurposeThis study conducts an empirical analysis of the relationship between credit market conditions and agriculture output in Sub-Saharan Africa.Design/methodology/approachThis paper uses a two-stage least square instrumental variable and difference generalised method of moments dynamic panel model because potential reverse causation and endogeneity are addressed.FindingsThe findings show that better credit market conditions contribute to agriculture productivity. The results also show that better infrastructure and availability of agriculture inputs are associated with productivity improvements. The empirical results are robust when an alternative measure of agriculture productivity is used.Research limitations/implicationsAn important research agenda for future studies will be to consider alternative measures of credit market conditions and other intervening variables that influence the nexus. Besides, other methods that account for cross-sectional dependence could also be considered as the impact of credit on agriculture varies across the sub-regions.Practical implicationsThe findings make a case for enhancing credit market access to boost agriculture productivity. There is also a need to implement financial education programs for farmers and ensuring continuous engagement with farmers.Originality/valueAlthough the issue of agriculture finance has been well documented in the literature, few studies have estimated the elasticity of agriculture productivity to changes in credit conditions. Also, our consideration of the intervening role of infrastructure amongst others is an area that has remained relatively unexplored.

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