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Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

Author

Listed:
  • Kirtti Ranjan Paltasingh

    (SMVD University)

  • Phanindra Goyari

    (University of Hyderabad)

Abstract

This paper analyzes the effects of education on farm productivity in the case of growers of modern and traditional varieties of paddy in Odisha, Eastern India. Using an endogenous switching regression model, the study has found that a minimum threshold level of education is significantly influencing the adoption of modern varieties of paddy and thereby the farm productivity of adopters only. So, the study finds the evidence in support of Schultz hypothesis that says education enhances farm productivity in the case of adopters of modern technology. The study suggests that farmers’ field school program must be implemented along with a strong extension network in the study region for a wider dissemination modern technology.

Suggested Citation

  • Kirtti Ranjan Paltasingh & Phanindra Goyari, 2018. "Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-19, December.
    • Handle: RePEc:spr:agfoec:v:6:y:2018:i:1:d:10.1186_s40100-018-0101-9
    DOI: 10.1186/s40100-018-0101-9
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Education; Technology adoption; Farm productivity; Endogenous switching regression;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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