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Do lower yielding farmers benefit from Bt corn? Evidence from instrumental variable quantile regressions

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

Abstract

There have been serious questions about whether lower-yielding farmers in developing countries, who are typically poor smallholders, benefit from genetically-modified crops like Bacillus thuringensis (Bt) corn. This article examines this issue by estimating the heterogeneous impacts of Bt corn adoption at different points of the yield distribution using farm-level survey data from the Philippines. A recently developed estimation technique called instrumental variable quantile regression (IVQR) is used to assess the heterogeneous yield effects of Bt corn adoption and at the same time address potential selection bias that usually plague impact assessment of agricultural technologies. We find that the positive yield impact of Bt corn in the Philippines tend to be more strongly felt by farmers at the lower end of the yield distribution. This result suggests that Bt corn could be a “pro-poor” technology since most of the lower-yielding farmers in the Philippines are poor smallholders with low incomes.

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  • Sanglestsawai, Santi & Rejesus, Roderick M. & Yorobe, Jose M., 2014. "Do lower yielding farmers benefit from Bt corn? Evidence from instrumental variable quantile regressions," Food Policy, Elsevier, vol. 44(C), pages 285-296.
  • Handle: RePEc:eee:jfpoli:v:44:y:2014:i:c:p:285-296
    DOI: 10.1016/j.foodpol.2013.09.011
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    5. Ramsey, A., 2018. "Conditional Distributions of Crop Yields: A Bayesian Approach for Characterizing Technological Change," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277253, International Association of Agricultural Economists.
    6. 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.
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    8. Gouse, Marnus & Sengupta, Debdatta & Zambrano, Patricia & Zepeda, José Falck, 2016. "Genetically Modified Maize: Less Drudgery for Her, More Maize for Him? Evidence from Smallholder Maize Farmers in South Africa," World Development, Elsevier, vol. 83(C), pages 27-38.
    9. Alexandra Peralta & Scott M. Swinton & Songqing Jin, 2018. "The Secret to Getting Ahead Is Getting Started: Early Impacts of a Rural Development Project," Sustainability, MDPI, vol. 10(8), pages 1-20, July.
    10. Klara Fischer & Elisabeth Ekener-Petersen & Lotta Rydhmer & Karin Edvardsson Björnberg, 2015. "Social Impacts of GM Crops in Agriculture: A Systematic Literature Review," Sustainability, MDPI, vol. 7(7), pages 1-23, July.
    11. Bola Amoke Awotide & Adebayo Ogunniyi & Kehinde Oluseyi Olagunju & Lateef Olalekan Bello & Amadou Youssouf Coulibaly & Alexander Nimo Wiredu & Bourémo Kone & Aly Ahamadou & Victor Manyong & Tahirou Ab, 2022. "Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali," Agriculture, MDPI, vol. 12(11), pages 1-16, November.
    12. Connor, Lawson & Rejesus, Roderick M., "undated". "Labor Savings and Time Allocation Shifts from the Adoption of Pesticidal GM Crops in the Philippines," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259967, Agricultural and Applied Economics Association.
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