Measuring farm and market level economic impacts of improved maize production technologies in Ethiopia: Evidence from panel data

Abstract

While it is often recognised that agricultural technology adoption decisions areintertwined and best characterised by multivariate models, typical approaches toexamining adoption and impacts of agricultural technology have focused on singletechnology adoption choice and ignored interdependence among technologies. Weexamine farm- and market-level impacts of multiple technology adoption choicesusing comprehensive household survey data collected in 2010/11 and 2012/13 inEthiopia. Economic surplus analysis combined with panel data switching endoge-nous regression models are used to compute the supply shift parameter (K-shiftparameter), while at the same time controlling for the endogeneity inherent in agri-cultural technology adoption among farmers. We find that our improved technol-ogy set choices have significant impacts on farm-level maize yield and maizeproduction costs, where the greatest effect appears to be generated when various