0000000000223992
AUTHOR
Nicholas J. Sitko
Adapting to High Temperatures: Effect of Farm Practices and Their Adoption Duration on Total Value of Crop Production in Uganda
In this article, we use spatially granular climate data merged with four waves of household survey data in Uganda to examine empirically the relationships among high temperatures, total value of crop production, and the adoption and adoption duration of two sustainable agricultural practices (organic fertilizer adoption and maize–legume intercropping). We do this using a fixed-effect model with instrumental variables to address potential endogeneity issues. Our findings indicate that the adoption of these practices has a positive effect on the total value of crop production, and such effect increases monotonically as temperatures increase from long-term averages. Moreover, the number of yea…
Diversification is in the Detail: Accounting for Crop System Heterogeneity to Inform Diversification Policies in Malawi and Zambia
Crop diversification is a common agricultural policy objective. However, the determinants and impacts of crop diversification are heterogeneous and depend on a range of crop-specific characteristics. Index-based measurements of crop diversification, common in the agriculture economics literature, are unable to account for this heterogeneity. Using two national panel surveys from Malawi and Zambia, we develop a multinomial treatment effects model to examine the determinants of adopting seven discreet cropping systems and their impacts on maize productivity and crop income stability. The results of this approach are compared to those obtained when using a Gini–Simpsons index. Differences betw…
Knowing is half the battle: Seasonal forecasts, adaptive cropping systems, and the mediating role of private markets in Zambia
Abstract This paper examines how smallholders living in regions where a drought is forecasted adapt their farm practices in response to receiving seasonal forecast information. The article draws on a unique longitudinal dataset in Zambia, which collected information from farm households before and after a significant drought caused by the 2015/2016 El-Nino Southern Oscillation. It finds that farmers residing in areas forecasted to be drought-affected and receiving seasonal forecast information are significantly more likely to integrate drought tolerant crops into their cropping systems compared to similar households not receiving this information. Moreover, the probability that a farmer imp…