HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification

Abstract : Adoption of improved seed varieties has the potential to lead to substantial pro ductivity increases in agriculture. However, only 36 percent of the farmers that grow an improved maize variety report doing so in Ethiopia. This paper provides the first causal evidence of the impact of misperception in improved maize varieties on farm ers’ production decisions, productivity and profitability. We employ an Instrumental Variable approach that takes advantage of the roll-out of a governmental program that increases transparency in the seed sector. We find that farmers who correctly classify the improved maize variety grown experience large increases in inputs usage (urea, NPS, labor) and yields, but no statistically significant changes in other agricul tural practices or profits. Using machine learning techniques, we develop a model of interpolation to predict objectively measured varietal identification from farmers’ self reported data which provides proof-of-concept towards scalable approaches to obtain reliable measures of crop varieties and allows us to extend the analysis to the nationally representative sample.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

https://hal-pse.archives-ouvertes.fr/hal-03597332
Contributor : Caroline Bauer Connect in order to contact the contributor
Submitted on : Friday, March 4, 2022 - 11:03:57 AM
Last modification on : Friday, April 29, 2022 - 10:13:24 AM

File

wp_202208_.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03597332, version 1

Collections

Citation

Paola Mallia. You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification. 2022. ⟨hal-03597332⟩

Share

Metrics

Record views

114

Files downloads

58