IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1336.html
   My bibliography  Save this paper

An empirical examination of the dynamics of varietal turnover in Indian wheat:

Author

Listed:
  • Krishna, Vijesh V.
  • Spielman, David J.
  • Veettil, Prakashan C.
  • Ghimire, Subash

Abstract

This paper addresses the challenge of increasing the rate of varietal turnover to prevent depreciation of improved cultivars over time. It examines the supply of and demand for improved cultivars of wheat in India to illustrate this challenge in a unique manner, combining national-level data on breeder seed production with primary data on cultivar adoption. The analyses show that the rate of varietal turnover for wheat has slowed in India from an average of 9-10 years a decade ago to 13-14 years in 2010. By focusing on a sample of farmers and villages in Haryana, where seed and information networks are relatively well developed, the study finds that wheat farmers still prefer cultivars that were released 9-10 years ago.

Suggested Citation

  • Krishna, Vijesh V. & Spielman, David J. & Veettil, Prakashan C. & Ghimire, Subash, 2014. "An empirical examination of the dynamics of varietal turnover in Indian wheat:," IFPRI discussion papers 1336, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifprid:1336
    as

    Download full text from publisher

    File URL: http://www.ifpri.org/sites/default/files/publications/ifpridp01336.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Esther Duflo & Michael Kremer & Jonathan Robinson, 2008. "How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya," American Economic Review, American Economic Association, vol. 98(2), pages 482-488, May.
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    3. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    4. 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.
    5. Deepthi Elizabeth Kolady & David J. Spielman & Anthony Cavalieri, 2012. "The Impact of Seed Policy Reforms and Intellectual Property Rights on Crop Productivity in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(2), pages 361-384, June.
    6. Smale, Melinda & Singh, Joginder & Di Falco, Salvatore & Zambrano, Patricia, 2008. "Wheat breeding, productivity and slow variety change: evidence from the Punjab of India after the Green Revolution," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 1-14.
    7. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    8. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2013. "Leveling with Friends: Social Networks and Indian Farmers' Demand for Agricultural Custom Hire Services," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150711, Agricultural and Applied Economics Association.
    9. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    10. Shahidur Rashid & Paul A. Dorosh & Mehrab Malek & Solomon Lemma, 2013. "Modern input promotion in sub-Saharan Africa: insights from Asian green revolution," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 705-721, November.
    11. Pingali, Prabhu L., 1999. "Cimmyt 1998-99 World Wheat Facts And Trends. Global Wheat Research In A Changing World: Challenges And Achievements," Facts and Trends/Overview and Outlook 23726, CIMMYT: International Maize and Wheat Improvement Center.
    12. Krishna, Vijesh V. & Aravindakshan, Sreejith & Chowdhury, Apurba & Rudra, Bankim, 2012. "Farmer Access and Differential Impacts of Zero Tillage Technology in the Subsistence Wheat Farming Systems of West Bengal, India," Socioeconomics Program Working Papers 147204, CIMMYT: International Maize and Wheat Improvement Center.
    13. Brennan, John P., 1984. "Measuring the Contribution of New Varieties to Increasing Wheat Yields," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 52(03), pages 1-21, December.
    14. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2013. "Leveling with friends: Social networks and indian farmers’ demand for agricultural custom hire services:," IFPRI discussion papers 1302, International Food Policy Research Institute (IFPRI).
    15. Unknown, 1999. "The Global Wheat Improvement System: Prospects for Enhancing Efficiency in the Presence of Spillovers," Miscellaneous Reports 233048, CIMMYT: International Maize and Wheat Improvement Center.
    16. Doss, Cheryl R., 2003. "Understanding Farm-Level Technology Adoption: Lessons Learned From Cimmyt'S Micro Surveys In Eastern Africa," Economics Working Papers 46552, CIMMYT: International Maize and Wheat Improvement Center.
    17. Annemie Maertens, 2017. "Who Cares What Others Think (or Do)? Social Learning and Social Pressures in Cotton Farming in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 988-1007.
    18. Krishna, Vijesh V. & Mehrotra, Meera Bhatia & Teufel, Nils & Bishnoi, Dalip Kumar, 2012. "Characterizing the Cereal Systems and Identifying the Potential of Conservation Agriculture in South Asia," Socioeconomics Program Working Papers 147109, CIMMYT: International Maize and Wheat Improvement Center.
    19. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jason Donovan & Pieter Rutsaert & Ciro Domínguez & Meliza Peña, 2022. "Capacities of local maize seed enterprises in Mexico: Implications for seed systems development," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(2), pages 509-529, April.
    2. Pavithra, S. & Mittal, S. & Bhat, S.A. & Birthal, P.S. & Shah, S.A. & Hariharan, V., 2017. "Spatial and Temporal Diversity in Adoption of Modern Wheat Varieties in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 30(1), June.
    3. Yirgalem Eshete & Bamlaku Alamirew & Zewdie Bishaw, 2021. "Yield and Cost Effects of Plot-Level Wheat Seed Rates and Seed Recycling Practices in the East Gojam Zone, Amhara Region, Ethiopia: Application of the Dose–Response Model," Sustainability, MDPI, vol. 13(7), pages 1-14, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Magnan, Nicholas & Spielman, David J. & Gulati, Kajal, 2013. "Female social networks and learning about a new technology in eastern Uttar Pradesh, India," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150688, Agricultural and Applied Economics Association.
    2. Ma, Xingliang & Spielman, David J. & Nazli, Hina & Zambrano, Patricia & Zaidi, Fatima & Kouser, Shahzad, 2014. "The role of social networks in an imperfect market for agricultural technology products: Evidence on Bt cotton adoption in Pakistan," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 175276, Agricultural and Applied Economics Association.
    3. Ishika Gupta & Prakashan Chellattan Veettil & Stijn Speelman, 2020. "Caste, Social Networks and Variety Adoption," Journal of South Asian Development, , vol. 15(2), pages 155-183, August.
    4. Feng, Yao, 2011. "Local spillovers and learning from neighbors: Evidence from durable adoptions in rural China," MPRA Paper 33924, University Library of Munich, Germany.
    5. Nicholas Magnan & David J Spielman & Travis J. Lybbert & Kajal Gulati, 2013. "Leveling with Friends: Social Networks and Indian Farmers’ Demand for Agricultural Custom Hire Services," Working Papers id:5591, eSocialSciences.
    6. Kondylis, Florence & Mueller, Valerie, 2012. "Seeing is Believing? Evidence from a Demonstration Plot Experiment in Mozambique:," MSSP working papers 1, International Food Policy Research Institute (IFPRI).
    7. Michelson, Hope & Fairbairn, Anna & Ellison, Brenna & Maertens, Annemie & Manyong, Victor, 2021. "Misperceived quality: Fertilizer in Tanzania," Journal of Development Economics, Elsevier, vol. 148(C).
    8. Magnan, Nicholas & Spielman, David J. & Gulati, Kajal & Lybbert, Travis J., 2015. "Information networks among women and men and the demand for an agricultural technology in India:," IFPRI discussion papers 1411, International Food Policy Research Institute (IFPRI).
    9. Margherita Comola & Carla Inguaggiato & Mariapia Mendola, 2021. "Learning about Farming: Innovation and Social Networks in a Resettled Community in Brazil," Development Working Papers 468, Centro Studi Luca d'Agliano, University of Milano.
    10. Annemie Maertens & Hope Michelson & Vesall Nourani, 2021. "How Do Farmers Learn from Extension Services? Evidence from Malawi," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 569-595, March.
    11. Matsumoto, Tomoya, 2014. "Disseminating new farming practices among small scale farmers: An experimental intervention in Uganda," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 43-74.
    12. Mark R. Rosenzweig, 2010. "Microeconomic Approaches to Development: Schooling, Learning, and Growth," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 81-96, Summer.
    13. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    14. Songsermsawas, Tisorn & Baylis, Kathy & Chhatre, Ashwini & Michelson, Hope, 2016. "Can Peers Improve Agricultural Revenue?," World Development, Elsevier, vol. 83(C), pages 163-178.
    15. Takahashi, Kazushi & Mano, Yukichi & Otsuka, Keijiro, 2019. "Learning from experts and peer farmers about rice production: Experimental evidence from Cote d’Ivoire," World Development, Elsevier, vol. 122(C), pages 157-169.
    16. Norton, Benjamin P. & Hoel, Jessica B. & Michelson, Hope, 2020. "The demand for (fake?) fertilizer: Using an experimental auction to examine the role of beliefs on agricultural input demand in Tanzania," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304444, Agricultural and Applied Economics Association.
    17. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    18. Tavneet Suri, 2009. "Selection and Comparative Advantage in Technology Adoption," NBER Working Papers 15346, National Bureau of Economic Research, Inc.
    19. Tisorn Songsermsawas & Kathy Baylis & Ashwini Chhatre & Hope Michelson, 2014. "Can Peers Improve Agricultural Productivity?," CESifo Working Paper Series 4958, CESifo.
    20. Berazneva, Julia & Maertens, Annemie & Mhango, Wezi & Michelson, Hope, 2023. "Paying for agricultural information in Malawi: The role of soil heterogeneity," Journal of Development Economics, Elsevier, vol. 165(C).

    More about this item

    Keywords

    Research; Technology transfer; Wheats; Agricultural research; Hybrids; Seeds; cultivar improvement; seed systems;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fpr:ifprid:1336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.