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Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs

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Listed:
  • Nassul S. Kabunga

    (Georg-August-University Göttingen)

  • Thomas Dubois

    (International Institute of Tropical Agriculture (IITA))

  • Matin Qaim

    (Georg-August-University Göttingen)

Abstract

We analyze yield effects of tissue culture (TC) banana technology in the Kenyan small farm sector, using recent survey data and an endogenous switching regression approach. TC banana plantlets, which are free from pests and diseases, have been introduced in East Africa since the late-1990s. While field experiments show significant yield advantages over traditional banana suckers, a rigorous assessment of impacts in farmers’ fields is still outstanding. A comparison of mean yield levels between TC adopters and non-adopters in our sample shows no significant difference. However, we find a negative selection bias, indicating that farmers with lower than average yields are more likely to adopt TC. Controlling for this bias results in a positive and significant TC net yield gain of 7%. We also find that TC technology is more knowledge-intensive and more responsive to irrigation than traditional bananas. Simulations show that improving access to irrigation could lift TC productivity gains to above 20%. The analytical approach developed and applied here may also be useful for the evaluation of other knowledge-intensive package technologies and innovations in perennial crops.

Suggested Citation

  • Nassul S. Kabunga & Thomas Dubois & Matin Qaim, 2011. "Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 82, Courant Research Centre PEG.
  • Handle: RePEc:got:gotcrc:082
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    1. Angus Deaton, 2010. "Instruments, Randomization, and Learning about Development," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 424-455, June.
    2. Petra E. Todd & Jeffrey A. Smith, 2001. "Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods," American Economic Review, American Economic Association, vol. 91(2), pages 112-118, May.
    3. Lokshin, Michael & Sajaia, Zurab, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 1-8.
    4. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    5. 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.
    6. Ira Matuschke & Matin Qaim, 2009. "The impact of social networks on hybrid seed adoption in India," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 493-505, September.
    7. Maddala, G.S., 1986. "Disequilibrium, self-selection, and switching models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 28, pages 1633-1688, Elsevier.
    8. Svetlana Edmeades & Melinda Smale, 2006. "A trait‐based model of the potential demand for a genetically engineered food crop in a developing economy," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 351-361, November.
    9. 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.
    10. Elizaphan J.O. Rao & Matin Qaim, 2010. "Supermarkets, farm household income, and poverty: Insights from Kenya," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 28, Courant Research Centre PEG.
    11. Menale Kassie & Precious Zikhali & John Pender & Gunnar Köhlin, 2010. "The Economics of Sustainable Land Management Practices in the Ethiopian Highlands," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(3), pages 605-627, September.
    12. Mbogoh, Stephen G. & Wambugu, Florence M. & Wakhusama, Sam, 2003. "Socio-Economic Impact Of Biotechnology Applications: Some Lessons From The Pilot Tissue-Culture (Tc) Banana Production Promotion Project In Kenya, 1997-2002," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25929, International Association of Agricultural Economists.
    13. Morris, M. L. & Heisey, P. W., 2003. "Estimating the benefits of plant breeding research: methodological issues and practical challenges," Agricultural Economics, Blackwell, vol. 29(3), pages 241-252, December.
    14. Arega Alene & V. Manyong, 2007. "The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis," Empirical Economics, Springer, vol. 32(1), pages 141-159, April.
    15. Romina Cavatassi & Lina Salazar & Mario González‐Flores & Paul Winters, 2011. "How do Agricultural Programmes Alter Crop Production? Evidence from Ecuador," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 403-428, June.
    16. Ira Matuschke & Matin Qaim, 2008. "Seed Market Privatisation and Farmers’ Access to Crop Technologies: The Case of Hybrid Pearl Millet Adoption in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 498-515, September.
    17. Smale, Melinda & Tushemereirwe, Wilbeforce K., 2007. "An economic assessment of banana genetic improvement and innovation in the Lake Victoria Region of Uganda and Tanzania:," Research reports 155, International Food Policy Research Institute (IFPRI).
    18. Keith O. Fuglie & Darrell J. Bosch, 1995. "Economic and Environmental Implications of Soil Nitrogen Testing: A Switching-Regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 891-900.
    19. Paul Winters & Alessandro Maffioli & Lina Salazar, 2011. "Introduction to the Special Feature: Evaluating the Impact of Agricultural Projects in Developing Countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 393-402, June.
    20. Rao, Elizaphan J.O. & Qaim, Matin, 2010. "Supermarkets, farm household income and poverty: Insights from Kenya," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95771, African Association of Agricultural Economists (AAAE).
    21. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
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    Keywords

    Biotechnology; adoption; productivity; impact; endogenous switching regression; Kenya;

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