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Measuring The Risk Effects of New Technologies for On-Farm Trials: A Case Study in North Cameroon

Author

Listed:
  • Loehman, E.
  • Ngambeki, D. S.
  • Yu, Z.
  • Deuson, R.

Abstract

A method to measure yield risk associated with new technologies based on the concept of stochastic production and the method of moments. is demonstrated. The method is applied to measure mean and variance of some new technologies introduced in Cameroon in 1986-89 under the SAFGRAD Project. Data used for the study include a long time series for weather and a short cross-sectional/time series for yield-weather-technology relationships.

Suggested Citation

  • Loehman, E. & Ngambeki, D. S. & Yu, Z. & Deuson, R., 1990. "Measuring The Risk Effects of New Technologies for On-Farm Trials: A Case Study in North Cameroon," 1990 Annual meeting, August 5-8, Vancouver, Canada 271054, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea90:271054
    DOI: 10.22004/ag.econ.271054
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    References listed on IDEAS

    as
    1. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
    2. Adesina, Akinwumi A. & Abbott, Philip C. & Sanders, John H., 1988. "Ex-ante risk programming appraisal of new agricultural technology: Experiment station fertilizer recommendations in Southern Niger," Agricultural Systems, Elsevier, vol. 27(1), pages 23-34.
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