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The Impact of Receiving Price and Climate Information in the Agricultural Sector

Author

Listed:
  • Adriana Camacho

    ()

  • Emily Conover
  • econover@hamilton.edu

Abstract

Previous studies indicate that Colombian farmers make production decisions based on informal sources of information, such as family and neighbors or tradition. In this paper we randomize recipients of price and climate information using text messages (SMS technology). Under this experimental design we find that relative to those farmers who did not receive SMS information, the farmers that did had better knowledge of prices and the dispersion in the expected price of their crops was narrower, although we do not see a significant difference in the actual sale price. Farmers also report that text message information is useful and becomes an important source of information for sales. Even though we find significant reduction in crop loss in general and due to weather conditions, we do not find significant changes in their revenues or householdexpenditures.

Suggested Citation

  • Adriana Camacho & Emily Conover & econover@hamilton.edu, 2010. "The Impact of Receiving Price and Climate Information in the Agricultural Sector," DOCUMENTOS CEDE 007907, UNIVERSIDAD DE LOS ANDES-CEDE.
  • Handle: RePEc:col:000089:007907
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    File URL: http://economia.uniandes.edu.co/publicaciones/dcede2010-40.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. Beuermann, Diether W., 2011. "Telecommunications Technologies, Agricultural Profitability, and Child Labor in Rural Peru," Working Papers 2011-002, Banco Central de Reserva del Perú.
    3. Emily Oster & Rebecca Thornton, 2009. "Determinants of Technology Adoption: Private Value and Peer Effects in Menstrual Cup Take-Up," NBER Working Papers 14828, National Bureau of Economic Research, Inc.
    4. Santiago Montenegro & Álvaro Pedraza, 2009. "Falling Kidnapping Rates and the Expansion of Mobile Phones in Colombia," DOCUMENTOS CEDE 006652, UNIVERSIDAD DE LOS ANDES-CEDE.
    5. Robert Jensen, 2007. "The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 879-924.
    6. Jenny Aker, 2008. "Does Digital Divide or Provide? The Impact of Cell Phones on Grain Markets in Niger," Working Papers 154, Center for Global Development.
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    Citations

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    Cited by:

    1. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    2. Van Campenhout, Bjorn, 2013. "Is there an App for that? The impact of community knowledge workers in Uganda:," IFPRI discussion papers 1316, International Food Policy Research Institute (IFPRI).
    3. Brooks, Karen & Zorya, Sergiy & Gautam, Amy & Goyal, Aparajita, 2013. "Agriculture as a sector of opportunity for young people in Africa," Policy Research Working Paper Series 6473, The World Bank.

    More about this item

    Keywords

    Randomized evaluation; price and climate information in agriculture; bargaining; spillovers; SMS technology;

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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