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Production Risk, Farmer Welfare, and Bt Corn in the Philippines

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  • Sanglestsawai, Santi
  • Rejesus, Roderick M.
  • Yorobe, Jose M., Jr.

Abstract

This article examines the production risk effects and welfare implications of Bt corn adoption in the Philippines by specifically considering the impact of Bt on the mean, variance, and skewness of yields. Assessing the skewness effects of Bt provides further inferences about the downside risk protection of this technology in a developing country context. Stochastic production function estimation is utilized to achieve the study objective, including an approach that allows for examining the skewness effects of Bt within a damage abatement specification. Our results indicate that Bt corn do not have a statistically significant risk-reducing (i.e., variance-reducing) or downside risk-reducing (i.e., skewness-increasing) effect, the main benefit is through its mean yield increasing effect. But we find that the probability of suffering a profit loss is lower for Bt farmers than for non-Bt farmers. Based on risk premium and certainty equivalent welfare measures, Bt corn farmers in the Philippines is still better-off (in welfare terms) relative to non-Bt farmers given Bt corn’s dominant yield increasing effect and lower probability of profit loss.

Suggested Citation

  • Sanglestsawai, Santi & Rejesus, Roderick M. & Yorobe, Jose M., Jr., 2012. "Production Risk, Farmer Welfare, and Bt Corn in the Philippines," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124237, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124237
    DOI: 10.22004/ag.econ.124237
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    Cited by:

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    2. A Ford Ramsey, 2020. "Probability Distributions of Crop Yields: A Bayesian Spatial Quantile Regression Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 220-239, January.
    3. Aglasan, Serkan & Goodwin, Barry K. & Rejesus, Roderick, 2020. "Genetically Modified Rootworm-Resistant Corn, Risk, and Weather: Evidence from High Dimensional Methods," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 305181, Agricultural and Applied Economics Association.
    4. Serkan Aglasan & Barry K. Goodwin & Roderick M. Rejesus, 2023. "Risk effects of GM corn: Evidence from crop insurance outcomes and high‐dimensional methods," Agricultural Economics, International Association of Agricultural Economists, vol. 54(1), pages 110-126, January.

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    More about this item

    Keywords

    Risk and Uncertainty;

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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