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Farmers' information needs and search behaviors: Case study in Tamil Nadu, India

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  • Babu, Suresh Chandra
  • Glendenning, Claire J.
  • Okyere, Kwadwo Asenso
  • Govindarajan, Senthil Kumar

Abstract

Public agricultural extension systems often fail due to inadequate consultation of farmers about their information needs and poor understanding of their information search strategies. In discussing and implementing extension programs and advisory services, the following questions need to be addressed: What information do the farmers need? How and where do they search for information? What factors determine their search behavior? How much are they willing to pay for their information? While the first two sets of questions are addressed fairly well in the literature, the latter two have not yet been attempted in the context of developing countries. Using a case study of two districts in South India, we examine farmer information needs and their information search behavior, factors affecting their search behavior, and their willingness to pay for information. Cluster analysis on access, frequency and use of information sources identified four farmer information search behaviors – high, medium, semi-medium and low. The groups differed significantly by post-high school studies, household economic status, cultivated land area, agricultural income, and membership to a farmer-based organization (FBO) and a Primary Agricultural Cooperative Bank (PACB). We use these four information search behaviors to examine differences in information needs, sources used and preferred sources. The important information needs related to rice included pest and disease management, pesticide and fertilizer application, seed variety, seed treatment. Rice production practices and credit information was more important for the low search group. Private input dealers and the state department of agricultural extension staff were the main information sources, though use of these two sources decreased with greater information searching. High and medium searchers used a greater number of sources, which also included print media and TV. The major constraints to information access, common to all search groups, were poor reliability and timeliness. The preferred medium of information was interpersonal contacts followed by information via mobile phones, where a helpline or voice messages was preferred over SMS. Through a contingent valuation technique it was found that farmers’ willingness to pay for voice-based mobile phone messages was low. The results show that the delivery of agricultural information, tailored to the different information search behaviors of farmers, is important to consider for extension programs.

Suggested Citation

  • Babu, Suresh Chandra & Glendenning, Claire J. & Okyere, Kwadwo Asenso & Govindarajan, Senthil Kumar, 2012. "Farmers' information needs and search behaviors: Case study in Tamil Nadu, India," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126226, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:126226
    DOI: 10.22004/ag.econ.126226
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    References listed on IDEAS

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    1. Jenny C. Aker, 2011. "Dial “A” for Agriculture: A Review of Information and Communication Technologies for Agricultural Extension in Developing Countries - Working Paper 269," Working Papers 269, Center for Global Development.
    2. Adhiguru, P. & Birthal, Pratap Singh & Kumar, B. Ganesh, 2009. "Strengthening Pluralistic Agricultural Information Delivery Systems in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(1), January.
    3. Jock R. Anderson, 2004. "Agricultural Extension: Good Intentions and Hard Realities," The World Bank Research Observer, World Bank, vol. 19(1), pages 41-60.
    4. Florian Diekmann & Cäzilia Loibl & Marvin T. Batte, 2009. "The Economics of Agricultural Information: Factors Affecting Commercial Farmers’ Information Strategies in Ohio," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 853-872.
    5. Anatoli Marantidou & Anastasios Michailidis & Afroditi Papadaki-Klavdianou, 2011. "Information and Communication technologies as agricultural extension tools," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 10(1), pages 114-125.
    6. Bryson R. Carter & Marvin T. Batte, 1993. "Identifying Needs and Audiences in Farm Management Outreach Education," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(3), pages 403-415.
    7. Edward L. Glaeser & David Laibson & Bruce Sacerdote, 2002. "An Economic Approach to Social Capital," Economic Journal, Royal Economic Society, vol. 112(483), pages 437-458, November.
    8. Solano, C. & Leon, H. & Perez, E. & Herrero, M., 2003. "The role of personal information sources on the decision-making process of Costa Rican dairy farmers," Agricultural Systems, Elsevier, vol. 76(1), pages 3-18, April.
    9. Joseph E. Stiglitz, 2000. "The Contributions of the Economics of Information to Twentieth Century Economics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1441-1478.
    10. Jenny C. Aker, 2011. "Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 631-647, November.
    11. Gary Schnitkey & Marvin Batte & Eugene Jones & Jean Botomogno, 1992. "Information Preferences of Ohio Commercial Farmers: Implications for Extension," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 486-496.
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    Cited by:

    1. Sajesh, V. K. & Suresh, A., 2016. "Public-Sector Agricultural Extension in India: A Note," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 6(1), July.
    2. Sony K. C. & Bishnu Raj Upreti, 2017. "The Political Economy of Cardamom Farming in Eastern Nepal: Crop Disease, Coping Strategies, and Institutional Innovation," SAGE Open, , vol. 7(2), pages 21582440177, May.
    3. Babu, Suresh Chandra & Joshi, P.K. & Glendenning, Claire J. & Kwadwo, Asenso-Okyere & Rasheed, Sulaiman V., 2013. "The State of Agricultural Extension Reforms in India: Strategic Priorities and Policy Options," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(2).
    4. Henriyadi Henriyadi & Vatcharaporn Esichaikul & Chutiporn Anutariya, 2022. "A Conceptual Model for Development of Small Farm Management Information System: A Case of Indonesian Smallholder Chili Farmers," Agriculture, MDPI, vol. 12(6), pages 1-23, June.
    5. Govil, Richa & Rana, Garima, 2017. "Demand for Agricultural Information among Women Farmers: A Survey from Karnataka, India," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 7(1), July.

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