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Factors Explaining the Dynamics of Agricultural Technology Adoption: Evidence from Senegal's Rain Maize Farmers

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  • Aminata Diagne
  • Lota Tamini
  • Patrick Mundler

Abstract

This paper analyses the adoption dynamics of improved rainfed maize seeds disseminated in Senegal in 2013 by the West African Agricultural Productivity Program (WAAPP). We group maize producers into five groups (non-adopters, laggards/abandoners, late adopters, followers and pioneers/innovators) and take into account the heterogeneity of unobservable characteristics of the producers. In the pioneers/innovators group, the availability of labour, household size, shocks, and frequency of access to advice positively influence adoption, whereas financial constraints and high numbers of plots reduce the probability of adoption. Producers in the followers’ category tend to be older and more educated than are those in the other categories. However, food insecurity and shocks such as diseases hamper adoption. For the group of late adopters, household size and available storage infrastructures explain adoption. However, the number of plots and shocks reduce their probability of adoption. Laggards tend to face shocks and food insecurity.

Suggested Citation

  • Aminata Diagne & Lota Tamini & Patrick Mundler, 2019. "Factors Explaining the Dynamics of Agricultural Technology Adoption: Evidence from Senegal's Rain Maize Farmers," CIRANO Working Papers 2019s-08, CIRANO.
    • Handle: RePEc:cir:cirwor:2019s-08
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    1. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    2. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    3. Gray, Virginia, 1973. "Innovation in the States: A Diffusion Study," American Political Science Review, Cambridge University Press, vol. 67(4), pages 1174-1185, December.
    4. Pareena G. Lawrence & John H. Sanders & Sunder Ramaswamy, 1999. "The impact of agricultural and household technologies on women: a conceptual and quantitative analysis in Burkina Faso," Agricultural Economics, International Association of Agricultural Economists, vol. 20(3), pages 203-214, May.
    5. Jun Xu & J. Scott Long, 2005. "Confidence intervals for predicted outcomes in regression models for categorical outcomes," Stata Journal, StataCorp LP, vol. 5(4), pages 537-559, December.
    6. Bellon, Mauricio R. & Risopoulos, Jean, 2001. "Small-Scale Farmers Expand the Benefits of Improved Maize Germplasm: A Case Study from Chiapas, Mexico," World Development, Elsevier, vol. 29(5), pages 799-811, May.
    7. Doss, Cheryl R. & Morris, Michael L., 2001. "How does gender affect the adoption of agricultural innovations?: The case of improved maize technology in Ghana," Agricultural Economics, Blackwell, vol. 25(1), pages 27-39, June.
    8. Jeremy D. Foltz & Hsiu-Hui Chang, 2002. "The Adoption and Profitability of rbST on Connecticut Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1021-1032.
    9. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    10. Lambrecht, Isabel & Vanlauwe, Bernard & Merckx, Roel & Maertens, Miet, 2014. "Understanding the Process of Agricultural Technology Adoption: Mineral Fertilizer in Eastern DR Congo," World Development, Elsevier, vol. 59(C), pages 132-146.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Kondylis, Florence & Mueller, Valerie & Sheriff, Glenn & Zhu, Siyao, 2016. "Do Female Instructors Reduce Gender Bias in Diffusion of Sustainable Land Management Techniques? Experimental Evidence From Mozambique," World Development, Elsevier, vol. 78(C), pages 436-449.
    13. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
    14. Lybbert, Travis J. & Sumner, Daniel A., 2012. "Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion," Food Policy, Elsevier, vol. 37(1), pages 114-123.
    15. Phu Nguyen-Van & Cyrielle Poiraud & Nguyen To-The, 2017. "Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 291-299, May.
    16. 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.
    17. Bradford L. Barham & Jeremy D. Foltz & Douglas Jackson-Smith & Sunung Moon, 2004. "The Dynamics of Agricultural Biotechnology Adoption: Lessons from series rBST Use in Wisconsin, 1994–2001," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 61-72.
    18. Lawrence, Pareena G. & Sanders, John H. & Ramaswamy, Sunder, 1999. "The impact of agricultural and household technologies on women: a conceptual and quantitative analysis in Burkina Faso," Agricultural Economics, Blackwell, vol. 20(3), pages 203-214, May.
    19. Robert K. Lindner & Philip G. Pardey & Frank G. Jarrett, 1982. "Distance To Information Source And The Time Lag To Early Adoption Of Trace Element Fertilisers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 26(2), pages 98-113, August.
    20. François Combarnous, 1999. "La mise en oeuvre du modèle logistique multinomial emboîté dans l'analyse de la participation au marché du travail," Documents de travail 39, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    21. Matin Qaim & Arjunan Subramanian & Gopal Naik & David Zilberman, 2006. "Adoption of Bt Cotton and Impact Variability: Insights from India," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 48-58.
    22. Gershon Feder & Roger Slade, 1984. "The Acquisition of Information and the Adoption of New Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 312-320.
    23. Christiaensen,Luc & Christiaensen,Luc, 2017. "Agriculture in Africa -- telling myths from facts : a synthesis," Policy Research Working Paper Series 7979, The World Bank.
    24. Abebaw, Degnet & Haile, Mekbib G., 2013. "The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia," Food Policy, Elsevier, vol. 38(C), pages 82-91.
    25. Takeshi Amemiya, 1975. "Qualitative Response Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 3, pages 363-372, National Bureau of Economic Research, Inc.
    26. Matin Qaim, 2005. "Agricultural Biotechnology Adoption in Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1317-1324.
    27. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    28. Kabunga, Nassul S. & Dubois, Thomas & Qaim, Matin, 2014. "Impact of tissue culture banana technology on farm household income and food security in Kenya," Food Policy, Elsevier, vol. 45(C), pages 25-34.
    29. R.K. Lindner & P.G. Pardey & F.G. Jarrett, 1982. "Distance to Information and the Time Lag to Early Adoption of Trace Element Fertilizers," School of Economics and Public Policy Working Papers 1982-02, University of Adelaide, School of Economics and Public Policy.
    30. Fisher, Monica & Kandiwa, Vongai, 2014. "Can agricultural input subsidies reduce the gender gap in modern maize adoption? Evidence from Malawi," Food Policy, Elsevier, vol. 45(C), pages 101-111.
    31. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    32. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    33. Shiferaw, Bekele & Kassie, Menale & Jaleta, Moti & Yirga, Chilot, 2014. "Adoption of improved wheat varieties and impacts on household food security in Ethiopia," Food Policy, Elsevier, vol. 44(C), pages 272-284.
    34. Awudu Abdulai & Wallace E. Huffman, 2005. "The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 645-659.
    35. Ntsama Etoundi, S. Mireille & Kamgnia Dia, Bernadette, 2008. "Determinants of the adoption of improved varieties of Maize in Cameroon: case of cms 8704," MPRA Paper 37783, University Library of Munich, Germany.
    36. Barham, Bradford L. & Chavas, Jean-Paul & Fitz, Dylan & Schechter, Laura, 2018. "Receptiveness to advice, cognitive ability, and technology adoption," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 239-268.
    37. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.
    38. Walker, Jack L., 1969. "The Diffusion of Innovations among the American States," American Political Science Review, Cambridge University Press, vol. 63(3), pages 880-899, November.
    39. Ndiritu, S. Wagura & Kassie, Menale & Shiferaw, Bekele, 2014. "Are there systematic gender differences in the adoption of sustainable agricultural intensification practices? Evidence from Kenya," Food Policy, Elsevier, vol. 49(P1), pages 117-127.
    40. Läpple, Doris & Rensburg, Tom Van, 2011. "Adoption of organic farming: Are there differences between early and late adoption?," Ecological Economics, Elsevier, vol. 70(7), pages 1406-1414, May.
    41. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
    42. Ingrid Rhinehart & C. Michael Deom, 2007. "Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 448-460.
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    Keywords

    Adoption; Technological Innovations; Multinomial Logit Model; Endogeneity; Unobservable Heterogeneity; Senegal;
    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
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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