Adoption of agricultural technologies in the developing world: A meta-analysis dataset of the empirical literature

• DOI: 10.1016/j.dib.2021.107384
• Publication Date: 2021-09-20T05:18:49Z
• Authors: Sacha Ruzzante; Amy Bilton
• Keywords: Variables; Sample (material); Meta-regression; Agricultural land

The meta-analysis dataset presented is a convenience sample from 218 separate studies of agricultural technology adoption in Africa, Asia, and Latin America. Each study uses survey data to estimate form multiple regression (dependent variable) with diverse array predictor variables. Fifteen variable categories are included this dataset: Age, education, gender, household size, farming experience, land soil fertility, slope, distance inputs/outputs, access credit, tenure, livestock ownership, non-farm income, extension, organization membership. Data have been cleaned transformed common units. A total 384 statistical models recorded, 2875 effect size estimates.