Kiconco, StellaBabu, Suresh ChandraAkankwasa, Kenneth2023-03-022023-03-022022-11-30Kiconco, S.; Babu, S.C.; Akankwasa, K. Adoption Patterns and Intensity for Multiple BananaTechnologies in Uganda. Sustainability 2022, 14, 15986. https://DOI.org/10.3390/su142315986.2071-1050 (online)10.3390/su142315986https://repository.up.ac.za/handle/2263/89913Supplementary material is a household survey tool used to collect data for this study. The household survey tool was used to collect data with regards to the physical farm characteristics, household characteristics and the technologies adopted.The adoption of improved technologies is widely recognized as key to improving agricultural productivity in Sub-Saharan Africa. This study analyzes adoption patterns and intensity of multiple banana technologies in Uganda which have been promoted over time. We used primary data collected from 383 banana farmers sampled using a multi-stage sampling procedure. Multivariate probit (MVP) and ordered probit analyses were applied to establish the adoption patterns and adoption intensity, respectively, and any factors affecting them. The findings highlight that 15 pairwise correlation coefficients among banana technologies were statistically significant implying that banana farmers adopt technologies simultaneously. The household size, total banana area, ecological location, membership to farmer groups, access to formal credit sources, and the type of market accessed had significant effects on household adoption patterns and intensity. Thus, it is recommended that such factors should be seriously considered in addition to technology characteristics when planning promotion programs. Simultaneous adoption implies that each of the technologies should be considered as a package which contributes to the increased farmer options and maximum synergistic effects among them. This study contributes to the existing literature by highlighting the key variables which affect the pattern and intensity of adopting technological packages involving both input intensification and low-external-input technologies in Uganda.en© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Input intensificationLow external inputsOrdered probitTechnology packageMultivariate probit (MVP)Article