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The Value of Information in Technology Adoption

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  • Islam, Asadul

    (Monash University)

  • Ushchev, Philip

    (Higher School of Economics (HSE))

  • Zenou, Yves

    (Monash University)

  • Zhang, Xin

    (Beijing Normal University)

Abstract

We develop a theoretical model in which technology adoption decisions are based on the information received from others about the quality of a new technology and on their risk attitudes. We test the predictions of this model using a randomized field experiment in Bangladesh. We show that the share of treated farmers who receive better training in System of Rice Intensification (SRI) technology have a high positive impact on the adoption rate of untreated farmers. We also find that untreated farmers who are more risk-averse tend to adopt the technology less and are less influenced by their treated peers. Finally, a trained farmer's impact on his untrained peers increases if he himself adopts SRI technology. Our results indicate that the crucial determinants of technology adoption for untreated farmers are the accuracy and reliability of information transmission about the quality of the technology circulated among farmers as well as their degree of risk aversion.

Suggested Citation

  • Islam, Asadul & Ushchev, Philip & Zenou, Yves & Zhang, Xin, 2019. "The Value of Information in Technology Adoption," IZA Discussion Papers 12672, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12672
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    1. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    2. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    3. 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.
    4. Yating Chuang & Laura Schechter, 2015. "Social Networks in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 451-472, October.
    5. Munshi, Kaivan, 2008. "Information Networks in Dynamic Agrarian Economies," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 48, pages 3085-3113, Elsevier.
    6. Fafchamps, Marcel & Islam, Asad & Pakrashi, Debayan & Malek, Abdul, 2017. "Can Referral Improve Targeting? Evidence from a Vocational Training Experiment," CEPR Discussion Papers 12070, C.E.P.R. Discussion Papers.
    7. Yann Bramoullé & Andrea Galeotti & Brian Rogers, 2016. "The Oxford Handbook of the Economics of Networks," Post-Print hal-01447842, HAL.
    8. 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.
    9. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions And Malaria Preventive Behaviors In Sub‐Saharan Africa," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 994-1012, September.
    10. 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.
    11. Emily Oster & Rebecca Thornton, 2012. "Determinants Of Technology Adoption: Peer Effects In Menstrual Cup Take-Up," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1263-1293, December.
    12. Amir K. Abadi Ghadim & David J. Pannell & Michael P. Burton, 2005. "Risk, uncertainty, and learning in adoption of a crop innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 1-9, July.
    13. Yann Bramoullé & Andrea Galeotti & Brian Rogers, 2016. "The Oxford Handbook of the Economics of Networks," Post-Print hal-03572533, HAL.
    14. Dar, Manzoor H. & de Janvry, Alain & Emerick, Kyle & Kelley, Erin M. & Sadoulet, Elisabeth, 2019. "Endogenous Information Sharing and the Gains from Using Network Information to Maximize Technology Adoption," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8qx7m4zq, Department of Agricultural & Resource Economics, UC Berkeley.
    15. Jing Cai & Alain De Janvry & Elisabeth Sadoulet, 2015. "Social Networks and the Decision to Insure," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 81-108, April.
    16. Kondylis, Florence & Mueller, Valerie & Zhu, Jessica, 2017. "Seeing is believing? Evidence from an extension network experiment," Journal of Development Economics, Elsevier, vol. 125(C), pages 1-20.
    17. Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
    18. Jacopo Bonan & Harounan Kazianga & Mariapia Mendola, 2019. "Agricultural Transformation and Farmers' Expectations: Experimental Evidence from Uganda," Development Working Papers 458, Centro Studi Luca d'Agliano, University of Milano.
    19. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    20. Christopher B. Barrett & Michael R. Carter & C. Peter Timmer, 2010. "A Century-Long Perspective on Agricultural Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 447-468.
    21. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    22. Kazushi Takahashi & Christopher B. Barrett, 2014. "The System of Rice Intensification and its Impacts on Household Income and Child Schooling: Evidence from Rural Indonesia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 269-289.
    23. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    24. Zenou, Yves & List, John & Momeni, Fatemeh, 2019. "Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures," CEPR Discussion Papers 13725, C.E.P.R. Discussion Papers.
    25. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
    26. Abhijit Banerjee & Emily Breza & Arun G. Chandrasekhar & Benjamin Golub, 2018. "When Less is More: Experimental Evidence on Information Delivery During India's Demonetization," NBER Working Papers 24679, National Bureau of Economic Research, Inc.
    27. Ariel BenYishay & A Mushfiq Mobarak, 2019. "Social Learning and Incentives for Experimentation and Communication," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 976-1009.
    28. Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
    29. Annemie Maertens & Christopher B. Barrett, 2013. "Measuring Social Networks' Effects on Agricultural Technology Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 353-359.
    30. 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.
    31. List, John A. & Momeni, Fatemeh & Zenou, Yves, 2019. "Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures Neighbor Effects," Working Paper Series 1293, Research Institute of Industrial Economics.
    32. 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.
    33. Bramoulle, Yann & Galeotti, Andrea & Rogers, Brian (ed.), 2016. "The Oxford Handbook of the Economics of Networks," OUP Catalogue, Oxford University Press, number 9780199948277.
    34. Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
    35. Munshi, Kaivan & Myaux, Jacques, 2006. "Social norms and the fertility transition," Journal of Development Economics, Elsevier, vol. 80(1), pages 1-38, June.
    36. Stoop, Willem A. & Uphoff, Norman & Kassam, Amir, 2002. "A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers," Agricultural Systems, Elsevier, vol. 71(3), pages 249-274, March.
    37. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    38. Mobarak, Ahmed & Levinsohn, James & Guiteras, Raymond, 2019. "Demand Estimation with Strategic Complementarities: Sanitation in Bangladesh," CEPR Discussion Papers 13498, C.E.P.R. Discussion Papers.
    39. Sinha, Shekhar Kumar & Talati, Jayesh, 2007. "Productivity impacts of the system of rice intensification (SRI): A case study in West Bengal, India," Agricultural Water Management, Elsevier, vol. 87(1), pages 55-60, January.
    40. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    41. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    42. Christopher B. Barrett & Asad Islam & Abdul Mohammad Malek & Debayan Pakrashi & Ummul Ruthbah, 2022. "Experimental Evidence on Adoption and Impact of the System of Rice Intensification," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 4-32, January.
    43. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    44. 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.
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    1. Wanglin Ma & Xiaobing Wang, 2020. "Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1087-1112, October.

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    More about this item

    Keywords

    Bayesian model; technology adoption; peers; risk attitude; RCT; Bangladesh;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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