African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6915

Full Length Research Paper

Impact of DroughtTEGO® hybrid maize variety on agricultural productivity and poverty alleviation in Kenya

George Marechera
  • George Marechera
  • African Agricultural Technology Foundation (AATF), P. O. Box 30709-00100, Nairobi, Kenya.
  • Google Scholar
Ibrahim Macharia
  • Ibrahim Macharia
  • Department of Agricultural Economics, Kenyatta University, P. O. Box 43844, 00100, Nairobi, Kenya.
  • Google Scholar
Grace Muinga
  • Grace Muinga
  • African Agricultural Technology Foundation (AATF), P. O. Box 30709-00100, Nairobi, Kenya.
  • Google Scholar
Stephen Mugo
  • Stephen Mugo
  • International Maize and Wheat Improvement Center (CIMMYT), P. O. Box 30677, Nairobi, 00100, Kenya.
  • Google Scholar
Ruth Rotich
  • Ruth Rotich
  • African Agricultural Technology Foundation (AATF), P. O. Box 30709-00100, Nairobi, Kenya.
  • Google Scholar
Ruth Khasaya Oniang'o
  • Ruth Khasaya Oniang'o
  • Rural Outreach Program (ROP) Africa 9 Planets Apartments, Block S6 Kabarnet Gardens, Off Kabarnet Road P. O. Box 29086-00625 Nairobi, Kenya.
  • Google Scholar
James Karanja
  • James Karanja
  • Kenya Agricultural and Livestock Research Organization (KALRO), P. O. Box 57811, Nairobi, 00200, Kenya.
  • Google Scholar
Caleb Obunyali
  • Caleb Obunyali
  • African Agricultural Technology Foundation (AATF), P. O. Box 30709-00100, Nairobi, Kenya.
  • Google Scholar
Sylvester O. Oikeh
  • Sylvester O. Oikeh
  • African Agricultural Technology Foundation (AATF), P. O. Box 30709-00100, Nairobi, Kenya.
  • Google Scholar


  •  Received: 06 June 2019
  •  Accepted: 19 September 2019
  •  Published: 30 November 2019

References

Becerril J, Abdulai A (2010). The impact of improved maize varieties on poverty in Mexico: A propensity score matching approach. World Development 38(7):1024-1035.
Crossref

 

Bourdillon MP, Hebinck J, Hoddinott B, Kinsey J, Marondo N, Mudege T (2002). Assessing the impact of HYV maize in resettlement areas of Zimbabwe. Summary report. International Food Policy Research Institute, Washington, D.C.

 

de Janvry A, Sadoulet E (2001). World poverty and the role of agricultural technology: direct and indirect effects. Journal of Development Studies 38(4):2-26.
Crossref

 

Dehejia RH, Wahba S (2002). Propensity score matching methods for non-experimental causal studies. Review of Economics and Statistics 84(1):151-161.
Crossref

 

Diagne A, Demont M (2007). Taking a new look at empirical models of adoption: Average treatment effect estimation of adoption rates and their determinants. Agricultural Economics 37(3):201-210.
Crossref

 

Doss C (2006). Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement. Agricultural Economics 34(3):207-219.
Crossref

 

Edge M, Oikeh SO, Kyetere D, Mugo S, Mashingaidze K (2018). Water efficient maize for Africa: A public-private partnership in technology transfer to smallholder farmers in Sub-Saharan Africa. In (eds N Kalaitzandonakes, EG Carayannis, E Grigoroudis, S Stelios-Rozakis): From agri-science to agribusiness: theories, policies and practices in technology transfer and commercialization. Springer: Dordrecht, the Netherlands.
Crossref

 

Evenson R, Gollin D (2003). Assessing the impact of the green revolution: 1960 to 2000. Science 300(2):758-762.
Crossref

 

FAO Statistical Database (2016). Maize consumption in Kenya 2005-2016. FAOSTAT. 

View

 

Heckman J, Navarro-Lozano S (2004). Using matching, instrumental variables, and control functions to estimate economic choice models. The Review of Economics and Statistics 86:30-57.
Crossref

 

Hossain M, Bose ML, Mustafi BAA (2006). Adoption and productivity impact of modern rice varieties in Bangladesh. Developing Economies 64(2):149-166.
Crossref

 

Howard J, Crawford E, Kelly V, Demeke M, Jaime JJ (2003). Promoting high-input maize technologies in Africa: the Sasakawa-Global 2000 experience in Ethiopia and Mozambique. Food Policy 28:335-348.
Crossref

 

Janaiah A, Hossain M, Otsuka K (2006). Productivity impact of the modern varieties of rice in India. Developing Economies 64(2):190-207.
Crossref

 

Kassie M, Shiferaw B, Geoffrey M (2011). Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda. World Development 39(10):1784-1795.
Crossref

 

Kephis (2017). 

View

 

Kijima Y, Otsuka K, Serunkuuma D (2008). Assessing the impact of NERICA on income and poverty in central and western Uganda. Agricultural Economics 38(3):327-337.
Crossref

 

Köhler O, Gasse C, Petersen L, Ingstrup KG, Nierenberg AA, Mors O, Ostergaard SD (2016). The effect of concomitant treatment with SSRIs and statins: a population-based study. America Journal Psychiatry 173:807-815.
Crossref

 

Macharia I, Garming H, Ouma E, Birachi E, Ekesa B, de Lange M (2013). Assessing the impact of CIALCA 1. Technologies on Crop Productivity and Poverty in the Great Lakes Region of Burundi, the Democratic Republic of Congo (DR Congo) and Rwanda. Consortium for Improving Agriculture-based Livelihoods in Central Africa.

 

Matuschke I, Qaim M (2009). The impact of social networks on hybrid seed adoption in India. Agricultural Economics 40(5):493-505.
Crossref

 

Mendola M (2007). Agricultural technology adoption and poverty reduction: a propensity-score matching analysis for rural Bangladesh. Food Policy 32(3):372-393.
Crossref

 

Oikeh SO, Nganyamo-Majee D, Mugo SIN, Mashingaidze K, Cook V, Stephens M (2014). Water efficient maize for Africa: an example of public-private partnership. In (Eds DD Songstad, JL Hatfield, DT Tomes): Biotechnology in agriculture and forestry: convergence of food security, energy security, and sustainable agriculture. Springer: Dordrecht, The Netherlands P 67.
Crossref

 

Ringle CM, Wende S, Jan-Michael B (2015). Smart PLS 3. 

View

 

Rogers EM (2003). Diffusion of Innovations. Free Press, New York.

 

Rosenbaum P, Rubin D (1983). The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41-55.
Crossref

 

Sianesi B (2004). Evaluation of the active labor market programmes in Sweden. The Review of Economics and Statistics 86(1):133-155.
Crossref

 

Situma E (2018). Kenyans turn to drought-tolerant maize variety to fight poverty. 

View

 

Smith JA, Todd PE (2005). Does Matching Overcome LaLonde's Critique of on experimental estimators. Journal of Econometrics 125:305-353.
Crossref

 

Tiwari TP, Ortiz-Ferrara G, Gurung DB, Dhakal R, Katuwal RB, Hamal BB, Gadal N, Virk DS (2010). Rapid gains in food security from new maize varieties for complex hillside environments through farmer participation. Food Security 2:317-325.
Crossref

 

Weir S, Knight J (2000). Adoption and diffusion of agricultural innovations in Ethiopia: the role of education. CSAE Working Paper WPS2000-5, Center for the Study of African Economies, Oxford University, UK.

 

World Bank (2017). Dollar a day revisited.

View

 

Wu H, Ding S, Pandey S, Tao D (2010). Assessing the impact of agricultural technology adoption on farmers' well-being using propensity score matching analysis in rural China. Asian Economic Journal 24(2):142-160.
Crossref