This study looked at crop-producing households' technical efficiency and the implications of rural-to-urban migration on it in the Gurage Zone of Ethiopia. The data were obtained from 384 randomly selected rural households and analyzed using the Stochastic Frontier and Propensity Score Matching Models. According to the findings, non-migrant households, migrant-sending households, and whole samples had mean technical efficiency of 45.5 %, 72.3%, and 57.4 %, respectively. This study discovered that the household head's age and distance from a nearby town have a negative impact on technical inefficiency, while the household head's schooling, soil infertility problem, migration experience, and distance to a nearby market have a positive impact. The average impact of rural-urban migration on migrant-sending households and the overall population's technical efficiency is a 19.4 percent and a 19.2 percent crop output loss, respectively, with a 19.1 percent counterfactual outcome. The study advises government agencies to develop farm plans based on the level of technical efficiency, work on the efficient use of limited resources, regulate technical inefficiency drivers through training, encourage educated youth to pursue careers in crop production to rebrand agriculture, and taking into account the loss of migrant labour and the receipt of migrant remittances.
Keywords: Determinants, Ethiopia, Propensity score matching, Rural-urban migration, Stochastic frontier, Technical efficiency, Treatment effect.