Do lower yielding farmers benefit from Bt corn? Evidence from instrumental variable quantile regressions
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.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, 01.
- Huang, Jikun & Hu, Ruifa & Rozelle, Scott & Qiao, Fangbin & Pray, Carl E., 2002. "Transgenic varieties and productivity of smallholder cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(3), September.
- John A. Bishop & Feijun Luo & Fang Wang, 2005. "Economic transition, gender bias, and the distribution of earnings in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 239-259, 04.
- Bhavani Shankar & Colin Thirtle, 2005. "Pesticide Productivity and Transgenic Cotton Technology: The South African Smallholder Case," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(1), pages 97-116.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Fernandez-Cornejo, Jorge & Li, Jiayi, 2005. "The Impacts of Adopting Genetically Engineered Crops in the USA: The Case of Bt Corn," 2005 Annual meeting, July 24-27, Providence, RI 19318, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2004.
"Dealing with Limited Overlap in Estimation of Average Treatment Effects,"
0716, University of Miami, Department of Economics, revised 12 Jun 2007.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
- Hotz, V. Joseph & Crump, Richard K. & Mitnik, Oscar A. & Imbens, Guido, 2009. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Scholarly Articles 3007645, Harvard University Department of Economics.
- Bhavani Shankar & Richard Bennett & Stephen Morse, 2008. "Production risk, pesticide use and GM crop technology in South Africa," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2489-2500.
- Victor Chernozhukov & Christian Hansen, 2004. "The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 735-751, August.
- J. A. Hausman, 1976.
"Specification Tests in Econometrics,"
185, Massachusetts Institute of Technology (MIT), Department of Economics.
- José Benjamin Falck-Zepeda & Greg Traxler & Robert G. Nelson, 2000. "Surplus Distribution from the Introduction of a Biotechnology Innovation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 360-369.
- Gerpacio, Roberta V. & Labios, Jocelyn D. & Labios, Romeo V. & Diangkinay, Emma I., 2004. "Maize in the Philippines: Production Systems, Constraints, and Research Priorities," Maize Production Systems Papers 7650, CIMMYT: International Maize and Wheat Improvement Center.
- Mahmut Yasar & Carl H. Nelson & Roderick Rejesus, 2006.
"Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions,"
Review of World Economics (Weltwirtschaftliches Archiv),
Springer, vol. 142(4), pages 675-694, December.
- Mahmut Yasar & Carl H. Nelson & Roderick Rejesus, 2003. "Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions," Emory Economics 0323, Department of Economics, Emory University (Atlanta).
- William Rogers, 1993. "Quantile regression standard errors," Stata Technical Bulletin, StataCorp LP, vol. 2(9).
- Alberto Abadie & Joshua Angrist & Guido Imbens, 2002.
"Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings,"
Econometric Society, vol. 70(1), pages 91-117, January.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
- Mendoza, Meyra Sebello & Rosegrant, Mark W., 1995. "Pricing behavior in Philippine corn markets: implications for market efficiency," Research reports 101, International Food Policy Research Institute (IFPRI).
- Matin Qaim, 2009. "The Economics of Genetically Modified Crops," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 665-694, 09.
- Evangelos M. Falaris, 2004.
"A Quantile Regression Analysis of Wages in Panama,"
04-01, University of Delaware, Department of Economics.
- George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez-Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321.
- Vincenzo Atella & Noemi Pace & Daniela Vuri, 2008.
"Are employers discriminating with respect to weight? European Evidence using Quantile Regression,"
CEIS Research Paper
123, Tor Vergata University, CEIS, revised 14 Jul 2008.
- Atella, Vincenzo & Pace, Noemi & Vuri, Daniela, 2008. "Are employers discriminating with respect to weight?: European Evidence using Quantile Regression," Economics & Human Biology, Elsevier, vol. 6(3), pages 305-329, December.
- Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
- Qaim, Matin & De Janvry, Alain, 2005. "Bt cotton and pesticide use in Argentina: economic and environmental effects," Environment and Development Economics, Cambridge University Press, vol. 10(02), pages 179-200, May.
- Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
- Qaim, Matin, 2003. "Bt Cotton in India: Field Trial Results and Economic Projections," World Development, Elsevier, vol. 31(12), pages 2115-2127, December.
When requesting a correction, please mention this item's handle: RePEc:eee:jfpoli:v:44:y:2014:i:c:p:285-296. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.