Dario Schulz
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Data to replicate findings of Schulz, D., & Börner, J. (2022). Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta‐analysis. Journal of Agricultural Economics, 1477-9552.12521.
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Estimated adoption determinants for a wide range of agricultural innovations across the globe along with a rich set of secondary meta-information.
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This repository contains R-scripts, pre-processed data ready for analysis, and model outputs needed to replicate all figures and tables in the publication. Secondary data was obtained from public sources as provided in the data availability statement. It contains field level mowing events, plant species richness, and yields across Germany to estimate impacts of mowing on plant species richness along with associated yield losses, while controlling for other contextual factors.
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Processed data to replicate the working paper "No impact of SMS-based information provision on knowledge and practice adoption among smallholder peanut farmers".