African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6849

Full Length Research Paper

Socioeconomic determinants of hybrid maize adoption in Kenya

Wang, Y.
  • Wang, Y.
  • Oklahoma State University, Stillwater, USA.
  • Google Scholar
Vitale, J.
  • Vitale, J.
  • Oklahoma State University, Stillwater, USA.
  • Google Scholar
Park, P.
  • Park, P.
  • Oklahoma State University, Stillwater, USA.
  • Google Scholar
Adams, B.
  • Adams, B.
  • Oklahoma State University, Stillwater, USA.
  • Google Scholar
Agesa, B.
  • Agesa, B.
  • University of Nairobi, Nairobi, Kenya.
  • Google Scholar
Korir M.
  • Korir M.
  • Moi University, El Doret, Kenya.
  • Google Scholar


  •  Received: 13 February 2016
  •  Accepted: 30 June 2016
  •  Published: 23 February 2017

References

Adesina AA, Baidu-Forson J (1995) Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa. Agric. Econ.13:1-9.
Crossref

 

Adesina AA, Zinnah MM (1993) Technology characteristics, farmers' perceptions and adoption decisions: a Tobit model application in Sierra Leone. Agric. Econ. 9:297-311.
Crossref

 
 

Ariga J, Jayne TS, Njukia S (2010). Staple food prices in Kenya. Paper presented at COMESA policy seminar, Maputo, Mozambique 25-26 January.

 
 

Chilot Y, Shapiro BI, Demeke M (1996). Factors affecting adoption of new wheat technologies in Wolmera and Addis Alem areas of Ethiopia. Ethiop. J. Agric. Econ. 1(1):63-84.

 
 

Crow JF (1998). 90 Years ago: the beginning of hybrid maize. Genetics: 148:923-928.

 
 

Doss CR (2003). Understanding farm-level technology adoption: lessons learned from CIMMYT's micro surveys in eastern Africa." Working paper, International Maize and Wheat Improvement Center (CIMMYT), Mexico, D.F.

 
 

Doss CR (2006). Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement. Agric. Econ. 34:207-219.
Crossref

 
 

Gabriel SA, Rosenthal SS (1989). Household location and race: estimates of a multinomial logit model. Rev. Econ. Stat. 71(2):240-249.
Crossref

 
 

Garcia P, Sonka ST, Mazzocco MA (1983). A multivariate logit analysis of households' use of financial information. Am. J. Agric. Econ. 65(1):136-141.
Crossref

 
 

Gerhart J (1975). The diffusion of hybrid maize in Western Kenya. Working paper, International maize and wheat improvement center (CIMMYT), Mexico, D.F.

 
 

Greene WH (2002). Economic Analysis, 5rd. ed. New Jersey: Prentice Hall Book Co.

 
 

Hassan RM, Mekuria M, Mwangi W (2001). Maize breeding research in Eastern and Southern Africa: current status and impacts of past investments made by the public and private sectors 1966-97. Working paper, International Maize and Wheat Improvement Center (CIMMYT), Mexico, D.F.

 
 

Johnson CW (1980). Kitale maize: the limits of success. Washington DC: U.S. Agency for International Development, Project Impact Evaluation Rep. 2, December.

 
 

Karanja DD (1990). The rate of return to maize research in Kenya: 1955-88. MS thesis, Michigan State University.

 
 

Karanja DD (1996). An economic and institutional analysis of maize research in Kenya. Working paper, Dept. of Agric. Econ., Michigan State University, East Lansing.

 
 

Kebede Y, Gunjal K, Coffin G (1990). Adoption of new technologies in Ethiopian agriculture: the case of Tegulet-Bulga district, Shoa province. Agric. Econ. 4:27-43.
Crossref

 
 

Kutner M, Nachtsheim CJ, Neter J (2008). Applied linear regression model, 4rd. ed. New York: McGraw Hill Book Co.

 
 

Langyintuo AS, Mwangi W, Diallo AO, MacRobert J, Dixon J, Bänziger M (2008). An analysis of the bottlenecks affecting the production and deployment of maize seed in Eastern and Southern Africa." Working paper, International maize and wheat improvement center (CIMMYT), Mexico, D.F.

 
 

Lawal BO, Saka JO, Oyegbami A, Akintayo IO (2004) Adoption and performance assessment of improved maize varieties among smallholder households in southwest Nigeria. J. Agric. Food Info. 6(1):35-47.
Crossref

 
 

López-Pereira MA, Morris ML (1994) Impacts of international maize breeding research in the developing world, 1966-90.Mexico, D.F.: CIMMYT.

 
 

Maddala DS (1983) Limited-dependent and qualitative variable in econometrics. Cambridge : Cambridge University Press.
Crossref

 
 

Meinertzhagen R (1957). Kenya diary: 1902-1906. London: Oliver and Boyd Publishers.

 
 

Mignouna DB, Mutabazi K, Senkondo EM, Manyong VM (2010). Adoption of a new maize and production efficiency in western Kenya. Paper presented at AAAE annual meeting, Cape Town, South Africa, 19-23 September.

 
 

Ouma, JO, Murithi FM, Mwangi W, Verkuijl H, Gethi M, Groote HD (2002). Adoption of maize seed and fertilizer technologies in Embu district, Kenya." Working paper, International maize and wheat improvement center (CIMMYT), Mexico, D.F.

 
 

Ouma JO, Groote HD, Owuor G (2006). Determinants of improved maize seed and fertilizer use In Kenya: policy implications. Paper presented at IAAE triennial conference, Gold Coast, Australia, 12-18 August.

 
 

Polson A, Spencer DS (1991). The technology adoption process in subsistence agricultural: The case of cassava in southern Nigeria. Agric. Syst. 36:65-78.
Crossref

 
 

Salasya BDS, Mwangi W, Verkuijl H, Odendo MA, Odenya JO (1998). An assessment of the adoption of seed and fertilizer packages and the role of credit in smallholder maize production in Kakamega and Vihiga districts, Kenya. Working paper, International maize and wheat improvement center (CIMMYT), Mexico, D. F.

 
 

Schmidt P, Strauss RP (1975). The prediction of occupation using multiple logit models. Inter. Econ. Rev. 16(2):471-486.
Crossref

 
 

Schroeder C, Onyango K, Ranabhat N, Jick N, Parzies H, Gemenet D (2013). Potentials of hybrid maize varieties for small-holder farmers In Kenya: A review based on Swot analysis. Afr. J. Food Agric. Nutr. Dev. 13(2):1-25.

 
 

Smale M, Bellon MR, Gomez J (2001). Maize diversity, variety attributes, and households' cChoices in southeastern Guanajuato, Mexico. Econ. Develop. Cult. Change 50(1):201-225.
Crossref

 
 

Smale M, Olwande J (2014) Demand for maize hybrids and hybrid change on smallholder farms in Kenya. Agric. Econ. 45:1-12.
Crossref

 
 

Ueckermann EM, Blignaut JN, Gupta R, Raubenheimer J (2008). Modelling south African grain households' preferences to adopt derivative contracts using discrete choice models. Agrekon 47(2):222-239.
Crossref

 
 

USDA (1962). U.S. Department of Agriculture. Yearbooks of agriculture. Washington, DC: U.S. Government Printing Office.

 
 

Wekesa E, Mwangi W, Verkuijl H, Danda K, De Groote H (2003). Adoption of maize production technologies in the coastal lowlands of Kenya. Working paper, International maize and wheat improvement center (CIMMYT), Mexico, D.F.

World Bank (2016). World Development Indicators.