IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277172.html
   My bibliography  Save this paper

Caste, Informal Social Networks and Varietal Turnover

Author

Listed:
  • Veettil, P.C.
  • Devi, A.
  • Gupta, I.

Abstract

The potential gain from the agricultural technologies can be realized only if it is adopted and disseminated in a short period of time. There are many factors which affect the rate of adoption and diffusion of technologies, both at macro and micro level. Social learning and social networks play a critical role in adoption of technologies as the adoption decisions of a farmer may be influenced by the others in his social network. Caste is a key factor which influences the decisions of people in Indian society. This study focuses on such caste based social networks and examines the role of caste based social networks and other farm level determinants on the varietal turnover of rice. Within caste social networks found to act as a barrier for faster replacement of varieties. Identifying and programming with caste based local leadership as nodes of varietal dissemination may be an effective extension strategy. Acknowledgement : We acknowledge funding support for this research provided by the Global Futures and Strategic Foresight (GFSF) project and CGIAR Research Program on Policies, Institutions, and Markets (PIM) led by IFPRI. The contents and opinions expressed herein are those of the authors and do not necessarily reflect the views of IRRI, PIM, IFPRI, and CGIAR. The usual disclaimer applies.

Suggested Citation

  • Veettil, P.C. & Devi, A. & Gupta, I., 2018. "Caste, Informal Social Networks and Varietal Turnover," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277172, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277172
    DOI: 10.22004/ag.econ.277172
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277172/files/1210.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.277172?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Saurabh Arora & Bulat Sanditov, 2015. "Cultures of caste and rural development in the social network of a south indian village," Grenoble Ecole de Management (Post-Print) hal-01266263, HAL.
    2. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    3. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    4. 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.
    5. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    6. Ekin Birol & Abdul Munasib & Devesh Roy, 2015. "Networks and low adoption of modern technology: the case of pearl millet in Rajasthan, India," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 8(2), pages 142-162, November.
    7. Saurabh Arora & Bulat Sanditov, 2015. "Cultures of Caste and Rural Development in the Social Network of a South Indian Village," SAGE Open, , vol. 5(3), pages 21582440155, August.
    Full references (including those not matched with items on IDEAS)

    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. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    2. Aker, Jenny C. & Dillon, Brian & Welch, C. Jamilah, 2023. "Demand, supply and long-term adoption: Evidence from a storage technology in West Africa," Journal of Development Economics, Elsevier, vol. 165(C).
    3. Stevens, Andrew W., 2018. "Review: The economics of soil health," Food Policy, Elsevier, vol. 80(C), pages 1-9.
    4. 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).
    5. 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.
    6. Adjognon, Serge & Liverpool-Tasie, Lenis Saweda O., 2014. "Spatial Dependence in the Adoption of the Urea Deep Placement for Rice Production in Niger State, Nigeria: A Bayesian Spatial Autoregressive Probit Estimation Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170515, Agricultural and Applied Economics Association.
    7. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    8. Raphaël Soubeyran, 2019. "Technology adoption and pro-social preferences," CEE-M Working Papers halshs-02291905, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    9. Liverpool-Tasie, Lenis Saweda O. & Winter-Nelson, Alex, 2009. "Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49357, Agricultural and Applied Economics Association.
    10. David Spielman & Kristin Davis & Martha Negash & Gezahegn Ayele, 2011. "Rural innovation systems and networks: findings from a study of Ethiopian smallholders," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(2), pages 195-212, June.
    11. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    12. Sommarat Chantarat & Christopher Barrett, 2012. "Social network capital, economic mobility and poverty traps," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 299-342, September.
    13. Fang, Di & Richards, Timothy, 2016. "New Maize Variety Adoption in Mozambique: A Spatial Approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235388, Agricultural and Applied Economics Association.
    14. Fernando, A. Nilesh, 2021. "Seeking the treated: The impact of mobile extension on farmer information exchange in India," Journal of Development Economics, Elsevier, vol. 153(C).
    15. Fafchamps, Marcel, 2010. "Vulnerability, risk management and agricultural development," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 5(1), pages 1-18, September.
    16. Fenske, James, 2013. "“Rubber will not keep in this country”: Failed development in Benin, 1897–1921," Explorations in Economic History, Elsevier, vol. 50(2), pages 316-333.
    17. Ram Fishman & Stephen C. Smith & Vida Bobic & Munshi Sulaiman, 2022. "Can Agricultural Extension and Input Support Be Discontinued? Evidence from a Randomized Phaseout in Uganda," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1273-1288, November.
    18. Gobillon, Laurent & Wolff, François-Charles, 2020. "The local effects of an innovation: Evidence from the French fish market," Ecological Economics, Elsevier, vol. 171(C).
    19. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.

    More about this item

    Keywords

    Labor and Human Capital;

    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:ags:iaae18:277172. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.