Adoption of climate-smart agricultural technologies and practices in fragile and conflict-affected settings

Abstract A major challenge for countries dealing with conflict and instability is promoting the use of climates mart farmingtechnologies and practices. In this meta-analysis, we assess determinants of farmers’ adoption decisions for suchinnovations. We employ advanced machine learning-aided literature selection and review 112 papers selected from over42,000 published papers covering countries in fragile and conflict settings. We categorized the technologies into fivetechnology groups, including soil health, erosion management, mechanization, input use and risk reduction technologiesand extract 1374 coefficients. Univariate and multivariate partial correlation coefficient analysis suggests that factorssuch as training, access to information, subsidies, and past experiences of using technologies predict technologyadoption. However, there are significant differences across technology groups and most especially, a very low coverageof risk-reduction technologies such as insurance is recorded.