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Informational cascades and technology adoption: Evidence from Greek and German organic growers

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  • Chatzimichael, Konstantinos
  • Genius, Margarita
  • Tzouvelekas, Vangelis
Abstract
The present study aims to empirically analyze the effect of social interactions and conversion subsidies on the adoption rates of organic farming practices in two samples of olive and cereal growers in Greece and Germany, respectively. To this end we construct two alternative indicators to capture informational cascades created in rural areas. The first indicator is based on demographic characteristics while the other one on profitability considerations since farmers are likely to imitate the behavior of more successful farmers. Building upon the theoretical findings of Foster and Rosenweig (1995), Munshi (2004), Bandiera and Rasul (2006) and Weber (2012), we find that informational cascades are indeed important in revising farmers’ perceptions and adoption behavior in both rural areas of Europe. Our results show that conversion subsidies can enhance social network effects internalizing informational externalities even in areas where adoption rates are considerable. This finding is independent of the crop and the country under consideration underlying the importance of informational cascades for technology adoption.

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  • Chatzimichael, Konstantinos & Genius, Margarita & Tzouvelekas, Vangelis, 2014. "Informational cascades and technology adoption: Evidence from Greek and German organic growers," Food Policy, Elsevier, vol. 49(P1), pages 186-195.
  • Handle: RePEc:eee:jfpoli:v:49:y:2014:i:p1:p:186-195
    DOI: 10.1016/j.foodpol.2014.08.001
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    1. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    2. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    3. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
    4. Justin Yifu Lin, 1991. "Education and Innovation Adoption in Agriculture: Evidence from Hybrid Rice in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 713-723.
    5. Theodore W. Schultz, 1972. "The Increasing Economic Value of Human Time," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(5), pages 843-850.
    6. 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.
    7. Huffman, Wallace E & Mercier, Stephanie, 1991. "Joint Adoption of Microcomputer Technologies: An Analysis of Farmers' Decisions," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 541-546, August.
    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. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261, Elsevier.
    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. Marianne Bertrand & Erzo F. P. Luttmer & Sendhil Mullainathan, 2000. "Network Effects and Welfare Cultures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 1019-1055.
    12. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    13. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    14. Richard Perrin & Don Winkelmann, 1976. "Impediments to Technical Progress on Small versus Large Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(5), pages 888-894.
    15. Lohr, Luanne & Salomonsson, Lennart, 2000. "Conversion subsidies for organic production: results from Sweden and lessons for the United States," Agricultural Economics, Blackwell, vol. 22(2), pages 133-146, March.
    16. Evenson, Robert E. & Westphal, Larry E., 1995. "Technological change and technology strategy," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 37, pages 2209-2299, Elsevier.
    17. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
    18. Dinar, Ariel & Yaron, Dan, 1990. "Influence Of Quality And Scarcity Of Inputs On The Adoption Of Modern Irrigation Technologies," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(2), pages 1-10, December.
    19. Wozniak, Gregory D, 1993. "Joint Information Acquisition and New Technology Adoption: Late versus Early Adoption," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 438-445, August.
    20. Stoneman, Paul L & David, Paul A, 1986. "Adoption Subsidies vs Information Provision as Instruments of Technology Policy," Economic Journal, Royal Economic Society, vol. 96(380a), pages 142-150, Supplemen.
    21. Michael R. Rahm & Wallace E. Huffman, 1984. "The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(4), pages 405-413.
    22. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    23. Jean-Philippe Gervais & Rémy Lambert & François Boutin-Dufresne, 2001. "On the Demand for Information Services: An Application to Lowbush Blueberry Producers in Eastern Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(2), pages 217-232, July.
    24. 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.
    25. Kapur, Sandeep, 1995. "Technological Diffusion with Social Learning," Journal of Industrial Economics, Wiley Blackwell, vol. 43(2), pages 173-195, June.
    26. McFadden, Daniel L & Train, Kenneth E, 1996. "Consumers' Evaluation of New Products: Learning from Self and Others," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 683-703, August.
    27. KS Pietola & AO Lansink, 2001. "Farmer response to policies promoting organic farming technologies in Finland," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(1), pages 1-15, March.
    28. Wallace E. Huffman, 1977. "Allocative Efficiency: The Role of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(1), pages 59-79.
    29. Jeremy G. Weber, 2012. "Social learning and technology adoption: the case of coffee pruning in Peru," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 73-84, November.
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    7. Wen Xiang & Jianzhong Gao, 2023. "Do Not Be Anticlimactic: Farmers’ Behavior in the Sustainable Application of Green Agricultural Technology—A Perceived Value and Government Support Perspective," Agriculture, MDPI, vol. 13(2), pages 1-24, January.
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    More about this item

    Keywords

    Informational externalities; Organic farming adoption; Conversion subsidies; Germany; Greece;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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