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Effects of social network factors on information acquisition and adoption of improved groundnut varieties: the case of Uganda and Kenya

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Listed:
  • Mary Thuo
  • Alexandra Bell
  • Boris Bravo-Ureta
  • Michée Lachaud
  • David Okello
  • Evelyn Okoko
  • Nelson Kidula
  • Carl Deom
  • Naveen Puppala

Abstract

Social networks play a significant role in learning and thus in farmers’ adoption of new agricultural technologies. This study examined the effects of social network factors on information acquisition and adoption of new seed varieties among groundnut farmers in Uganda and Kenya. The data were generated through face-to-face interviews from a random sample of 461 farmers, 232 in Uganda and 229 in Kenya. To assess these effects two alternative econometric models were used: a seemingly unrelated bivariate probit (SUBP) model and a recursive bivariate probit (RBP) model. The statistical evaluation of the SUBP shows that information acquisition and adoption decisions are interrelated while tests for the RBP do not support this latter model. Therefore, the analysis is based on the results obtained from the SUBP. These results reveal that social network factors, particularly weak ties with external support (e.g., researchers, extension agents, etc.), partially influence information acquisition, but do not influence adoption. In Uganda, external support, gender, farm size, and geographic location have an impact on information acquisition. In Kenya, external support and geographic location also have an impact on information acquisition. With regard to adoption, gender, household size, and geographic location play the most important roles for Ugandan farmers, while in Kenya information from external sources, education, and farm size affect adoption choice. The study provides insight on the importance of external weak ties in groundnut farming, and a need to understand regional differences along gender lines while developing agricultural strategies. This study further illustrates the importance of farmer participation in applied technology research and the impact of social interactions among farmers and external agents. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Mary Thuo & Alexandra Bell & Boris Bravo-Ureta & Michée Lachaud & David Okello & Evelyn Okoko & Nelson Kidula & Carl Deom & Naveen Puppala, 2014. "Effects of social network factors on information acquisition and adoption of improved groundnut varieties: the case of Uganda and Kenya," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(3), pages 339-353, September.
    • Handle: RePEc:spr:agrhuv:v:31:y:2014:i:3:p:339-353
    DOI: 10.1007/s10460-014-9486-6
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    1. Mulubrhan Amare & Solomon Asfaw & Bekele Shiferaw, 2012. "Welfare impacts of maize–pigeonpea intensification in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 27-43, January.
    2. Moreno, Georgina & Sunding, David L., 2003. "Simultaneous Estimation Of Technology Adoption And Land Allocation," 2003 Annual meeting, July 27-30, Montreal, Canada 22134, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Pascal Sanginga & Jackson Tumwine & Nina Lilja, 2006. "Patterns of participation in farmers’ research groups: Lessons from the highlands of southwestern Uganda," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(4), pages 501-512, December.
    4. 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.
    5. Hounkonnou, Dominique & Kossou, Dansou & Kuyper, Thomas W. & Leeuwis, Cees & Nederlof, E. Suzanne & Röling, Niels & Sakyi-Dawson, Owuraku & Traoré, Mamoudou & van Huis, Arnold, 2012. "An innovation systems approach to institutional change: Smallholder development in West Africa," Agricultural Systems, Elsevier, vol. 108(C), pages 74-83.
    6. Jock R. Anderson, 2004. "Agricultural Extension: Good Intentions and Hard Realities," The World Bank Research Observer, World Bank, vol. 19(1), pages 41-60.
    7. Sara Savastano & Pasquale Lucio Scandizzo, 2010. "The Adoption and Diffusion of GM Crops in USA: A Real Option Approach," CEIS Research Paper 169, Tor Vergata University, CEIS, revised 20 Jul 2010.
    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. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    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. 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.
    12. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, April.
    13. Li, Aizhen & Bravo-Ureta, Boris E. & Okello, David & Deom, Carl & Puppala, Naveen, 2013. "Groundnut Production and Climatic Variability: Evidence from Uganda," Working Paper series 148353, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    14. Mark Granovetter, 2005. "The Impact of Social Structure on Economic Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 33-50, Winter.
    15. Genius, Margarita & Pantzios, Christos J. & Tzouvelekas, Vangelis, 2006. "Information Acquisition and Adoption of Organic Farming Practices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(1), pages 1-21, April.
    16. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    17. Enid Katungi & Svetlana Edmeades & Melinda Smale, 2008. "Gender, social capital and information exchange in rural Uganda," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(1), pages 35-52.
    18. Vall Castello, Judit, 2012. "Promoting employment of disabled women in Spain; Evaluating a policy," Labour Economics, Elsevier, vol. 19(1), pages 82-91.
    19. Carr, Edward R., 2008. "Men's Crops and Women's Crops: The Importance of Gender to the Understanding of Agricultural and Development Outcomes in Ghana's Central Region," World Development, Elsevier, vol. 36(5), pages 900-915, May.
    20. 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.
    21. Lan Anh Hoang & Jean-Christophe Castella & Paul Novosad, 2006. "Social networks and information access: Implications for agricultural extension in a rice farming community in northern Vietnam," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(4), pages 513-527, December.
    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. Chang, Hung-Hao & Mishra, Ashok, 2008. "Impact of off-farm labor supply on food expenditures of the farm household," Food Policy, Elsevier, vol. 33(6), pages 657-664, December.
    24. Dimara, Efthalia & Skuras, Dimitris, 2003. "Adoption of agricultural innovations as a two-stage partial observability process," Agricultural Economics, Blackwell, vol. 28(3), pages 187-196, May.
    25. Matuschke, Ira, 2008. "Evaluating the impact of social networks in rural innovation systems: An overview," IFPRI discussion papers 816, International Food Policy Research Institute (IFPRI).
    26. Awudu Abdulai & Pierre Monnin & Jacques Gerber, 2008. "Joint estimation of information acquisition and adoption of new technologies under uncertainty," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(4), pages 437-451.
    27. Martin Ruef, 2002. "Strong ties, weak ties and islands: structural and cultural predictors of organizational innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 427-449, June.
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