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The Value of Advice: Evidence from Mobile Phone-Based Agricultural Extension

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  • Cole, Shawn A.
  • Fernando, A. Nilesh

Abstract

Attempts to explain the astonishing differences in agricultural productivity around the world typically focus on farm size, farmer risk aversion, and credit constraints, with an emphasis on how they might serve to limit technology adoption. This paper takes a different tack: can managerial practices explain this variation in productivity? A randomized evaluation of the introduction of a mobile-phone based agricultural consulting service, “Avaaj Otalo (AO)” to cotton farmers in Gujarat, India, reveals the following. Demand for agricultural advice is high, with more than half of farmers calling AO in the first seven months. Farmers offered the service turn less often to other farmers and input sellers for agricultural advice. Management practices change as well: we observe an increase in the adoption of more effective pesticides, and reduced expenditure on less effective and hazardous pesticides. Treated farmers also sow a significantly larger quantity of cumin, a lucrative but risky crop. Interestingly, use of the service is increasing in the level of farmer education, but education levels do not affect the size of treatment effects. Farmers appear willing to follow advice without understanding why the advice is correct: the average respondent does not demonstrate improved agricultural knowledge, though there is some evidence educated farmers learn from the service.

Suggested Citation

  • Cole, Shawn A. & Fernando, A. Nilesh, 2013. "The Value of Advice: Evidence from Mobile Phone-Based Agricultural Extension," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160520, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae13:160520
    DOI: 10.22004/ag.econ.160520
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    Cited by:

    1. Dominik Naeher & Matthias Schündeln, 2022. "The Demand for Advice: Theory and Empirical Evidence from Farmers in Sub-Saharan Africa," The World Bank Economic Review, World Bank, vol. 36(1), pages 91-113.
    2. James Berry & Greg Fischer & Raymond Guiteras, 2020. "Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1436-1473.
    3. Eduardo Nakasone & Maximo Torero, 2016. "A text message away: ICTs as a tool to improve food security," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 49-59, November.
    4. Sene, Ligane Massamba, 2015. "Connectivity as engine for productivity among smallholder peanut farmers in Senegal," 2015 Conference, August 9-14, 2015, Milan, Italy 212263, International Association of Agricultural Economists.
    5. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    6. Catherine Larochelle & Jeffrey Alwang & Elli Travis & Victor Hugo Barrera & Juan Manuel Dominguez Andrade, 2019. "Did You Really Get the Message? Using Text Reminders to Stimulate Adoption of Agricultural Technologies," Journal of Development Studies, Taylor & Francis Journals, vol. 55(4), pages 548-564, April.
    7. Melia, Elvis, 2019. "The impact of information and communication technologies on jobs in Africa: a literature review," IDOS Discussion Papers 3/2019, German Institute of Development and Sustainability (IDOS).
    8. Xiaolan Fu & Shaheen Akter, 2016. "The Impact of Mobile Phone Technology on Agricultural Extension Services Delivery: Evidence from India," Journal of Development Studies, Taylor & Francis Journals, vol. 52(11), pages 1561-1576, November.
    9. Dirk Landmann & Carl-Johan Lagerkvist & Verena Otter, 2021. "Determinants of Small-Scale Farmers’ Intention to Use Smartphones for Generating Agricultural Knowledge in Developing Countries: Evidence from Rural India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1435-1454, December.
    10. Foivos Anastasiadis & Naoum Tsolakis & Jagjit Singh Srai, 2018. "Digital Technologies Towards Resource Efficiency in the Agrifood Sector: Key Challenges in Developing Countries," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    11. Ma, Wanglin & Zheng, Hongyun, 2021. "Impacts of Smartphone Use on Agrochemical Use Among Wheat Farmers in China: A Heterogeneous Analysis," 2021 Conference, August 17-31, 2021, Virtual 314991, International Association of Agricultural Economists.
    12. Cai, Tian & Steinfield, Charles & Olson, Jennifer, 2017. "Keeping Top-of-Mind: The Impact of Audio Phone Reminders on Kenya Farmers' Knowledge and Uptake of Drought Tolerant (DT) Maize," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258110, Agricultural and Applied Economics Association.
    13. Kansiime, Monica K. & Alawy, Abdillahi & Allen, Catherine & Subharwal, Manish & Jadhav, Arun & Parr, Martin, 2019. "Effectiveness of mobile agri-advisory service extension model: Evidence from Direct2Farm program in India," World Development Perspectives, Elsevier, vol. 13(C), pages 25-33.
    14. 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.
    15. Wanglin Ma & Hongyun Zheng, 2022. "Heterogeneous impacts of information technology adoption on pesticide and fertiliser expenditures: Evidence from wheat farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 72-92, January.
    16. Jianxin Guo & Songqing Jin & Lei Chen & Jichun Zhao, 2018. "Impacts of Distance Education on Agricultural Performance and Household Income: Micro-Evidence from Peri-Urban Districts in Beijing," Sustainability, MDPI, vol. 10(11), pages 1-19, October.
    17. A. Stefano Caria & Marcel Fafchamps, 2015. "Can Farmers Create Efficient Information Networks? Experimental Evidence from Rural India," CSAE Working Paper Series 2015-07, Centre for the Study of African Economies, University of Oxford.
    18. Aring, Monika., 2015. "ASEAN Economic Community 2015 enhancing competitiveness and employability through skill development," ILO Working Papers 994872733402676, International Labour Organization.
    19. Chris Huggins & Alvaro Valverde, 2018. "Information technology approaches to agriculture and nutrition in the developing world: a systems theory analysis of the mNutrition program in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 151-168, February.
    20. 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.
    21. Jeehye Kim & Parmesh Shah & Joanne Catherine Gaskell & Ashesh Prasann & Akanksha Luthra, 2020. "Scaling Up Disruptive Agricultural Technologies in Africa," World Bank Publications - Books, The World Bank Group, number 33961.

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    Keywords

    Agribusiness; Productivity Analysis;

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