Bt Cotton Adoption and Wellbeing of Farmers in Pakistan
Among the four largest cotton-producing countries, only Pakistan had not commercially adopted Bt cotton by 2010. However, the cultivation of first-generation (Cry1Ac) Bt cotton, unapproved and unregulated, increased rapidly after 2005. Using the propensity score matching method, this paper examines the economic impact of the available Bt varieties on farmers’ wellbeing. The analysis is based on data collected through structured questionnaires in January-February 2009 from 206 growers in 16 villages in two cotton-growing districts, Bahawalpur and Mirpur Khas. The results indicate a positive impact of Bt cotton on the wellbeing of farmers in Pakistan. However, the extent of impact varies by agro-climatic conditions and size of farm. Bt cotton appeared most effective in the hot and humid areas where pest pressure from bollworms is high. The per-acre yield gains for medium and large farmers are higher than for small farmers. This suggests that additional public-sector interventions may be complementary to introduction of Bt cotton to make this technology widely beneficial in Pakistan.
|Date of creation:||2012|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.iaae-agecon.org/|
More information through EDIRC
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.:
- Marco Caliendo & Sabine Kopeinig, 2005.
"Some Practical Guidance for the Implementation of Propensity Score Matching,"
Discussion Papers of DIW Berlin
485, DIW Berlin, German Institute for Economic Research.
- Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
- Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
- Benjamin Crost & Bhavani Shankar & Richard Bennett & Stephen Morse, 2007. "Bias from Farmer Self-Selection in Genetically Modified Crop Productivity Estimates: Evidence from Indian Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(1), pages 24-36, 02.
- Matin Qaim & Arjunan Subramanian & Gopal Naik & David Zilberman, 2006. "Adoption of Bt Cotton and Impact Variability: Insights from India," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 48-58.
- Adekambi, Souleimane Adeyemi & Diagne, Aliou & Simtowe, Franklin & Biaou, Gauthier, 2009. "The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin," 2009 Conference, August 16-22, 2009, Beijing, China 51645, International Association of Agricultural Economists.
- Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192.
- Nazli, Hina & Orden, David & Sarker, Rakhal & Meilke, Karl D., 2012.
"Bt Cotton Adoption and Wellbeing of Farmers in Pakistan,"
2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil
126172, International Association of Agricultural Economists.
- Nazli, Hina & Orden, David & Sarker, Rakhal & Meilke, Karl, 2012. "Bt Cotton adoption and wellbeing of farmers in Pakistan:," PSSP working papers 4, International Food Policy Research Institute (IFPRI).
- Rajeev H. Dehejia & Sadek Wahba, 2002.
"Propensity Score-Matching Methods For Nonexperimental Causal Studies,"
The Review of Economics and Statistics,
MIT Press, vol. 84(1), pages 151-161, February.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
- Veronica González & Pablo Ibarrarán & Alessandro Maffioli & Sandra Rozo, 2009. "The Impact of Technology Adoption on Agricultural Productivity: The Case of the Dominican Republic," OVE Working Papers 0509, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
- Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
- Haitao Wu & Shijun Ding & Sushil Pandey & Dayun Tao, 2010. "Assessing the Impact of Agricultural Technology Adoption on Farmers' Well-being Using Propensity-Score Matching Analysis in Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 141-160, 06.
- Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2010. "Adoption and Impact of Improved Groundnut Varieties on Rural Poverty: Evidence from Rural Uganda," Discussion Papers dp-10-11-efd, Resources For the Future.
- Verónica M. Gonzalez Diez & Pablo Ibarrarán & Alessandro Maffioli & Sandra Rozo, 2009. "The Impact of Technology Adoption on Agricultural Productivity: The Case of the Dominican Republic," IDB Publications (Working Papers) 25938, Inter-American Development Bank.
When requesting a correction, please mention this item's handle: RePEc:ags:iaae12:126172. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.