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Measuring the contribution of Bt cotton adoption to India's cotton yields leap:

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  • Gruere, Guillaume P.
  • Sun, Yan

Abstract

While a number of empirical studies have demonstrated the role of Bt cotton adoption in increasing Indian cotton productivity at the farm level, there has been questioning around the overall contribution of Bt cotton to the average cotton yield increase observed these last ten years in India. This study examines the contribution of Bt cotton adoption to long- term average cotton yields in India using a panel data analysis of production variables in nine Indian cotton-producing states from 1975 to 2009. The results show that Bt cotton contributed 19 percent of total yield growth over time, or between 0.3 percent and 0.4 percent per percentage adoption every year since its introduction. Besides Bt cotton, the use of fertilizer and the increased adoption of hybrid seeds appear to have contributed to the yield increase over time. However, if official Bt cotton adoption contributed to increased yield after 2005, unofficial Bt cotton might also have been part of the observed increase of yields starting in 2002, the year of its official introduction in India.

Suggested Citation

  • Gruere, Guillaume P. & Sun, Yan, 2012. "Measuring the contribution of Bt cotton adoption to India's cotton yields leap:," IFPRI discussion papers 1170, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifprid:1170
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    Cited by:

    1. Iizuka, M. & Thutupalli, A., 2014. "Globalization, the rise of biotechnology and catching up in agricultural innovation: The case of Bt technology in India," MERIT Working Papers 2014-054, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Spielman, David J. & Kennedy, Adam, 2016. "Towards better metrics and policymaking for seed system development: Insights from Asia's seed industry," Agricultural Systems, Elsevier, vol. 147(C), pages 111-122.
    3. S.S. Kalamkar, 2013. "Biotechnology in Indian Agriculture: Review of Adoption and Performance of Bt Cotton," Millennial Asia, , vol. 4(2), pages 211-236, October.
    4. Ajay Thutupalli & Michiko Iizuka, 2016. "Catching-up in agricultural innovation: the case of Bacillus thuringiensis cotton in India," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(6), pages 923-940.
    5. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika, 2013. "Farmer preferences for drought tolerance in hybrid versus inbred rice: Evidence from Bihar, India:," IFPRI discussion papers 1307, International Food Policy Research Institute (IFPRI).
    6. Xingliang Ma & Melinda Smale & David J. Spielman & Patricia Zambrano & Hina Nazli & Fatima Zaidi, 2017. "A Question of Integrity: Variants of Bt Cotton, Pesticides and Productivity in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 366-385, June.
    7. Spielman, David J. & Ma, Xingliang, 2014. "Intellectual property rights, technology diffusion, and agricultural development: Cross-country evidence:," IFPRI discussion papers 1345, International Food Policy Research Institute (IFPRI).
    8. Ma, Xingliang & Smale, Melinda & Spielman, David J. & Zambrano, Patricia & Nazli, Hina & Zaidi, Fatima, 2016. "Varietal integrity, damage abatement, and productivity: Evidence from the cultivation of Bt cotton in Pakistan:," IFPRI discussion papers 1520, International Food Policy Research Institute (IFPRI).
    9. Spielman, David J. & Kolady, Deepthi E. & Cavalieri, Anthony & Rao, N. Chandrasekhara, 2014. "The seed and agricultural biotechnology industries in India: An analysis of industry structure, competition, and policy options," Food Policy, Elsevier, vol. 45(C), pages 88-100.
    10. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika, 2014. "Heterogeneous Demand for Drought-Tolerant Rice: Evidence from Bihar, India," World Development, Elsevier, vol. 64(C), pages 125-139.

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    Keywords

    Bt-cotton; Panel data; multiple imputation;
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