Oehmke, J.F, C. Moss, J. Hoddinott, M. Smale, A. Mabiso and N. Kumar. 2011. The Impacts of USAID-Supported Agricultural Programs: Methodological Lessons Learned. Prepared for USAID/AFR/SD and USAID/BFS, October 11, 2011.
Staple Food Consumption Patterns in Urban Kenya: Trends and Policy Implications.Muyanga, M., T.S. Jayne, G. Argwings-Kodhek, and Joshua Ariga. Paper presented at the Conference on Integrating Consumers into Agricultural Sector Policies, Tegemeo Agricultural Policy Conference, April 19-20, Safari Park Hotel, Nairobi, Kenya. 2005.
Ariga, J. and T.S. Jayne. 2010. Private-Sector Responses to Public Investments and Policy Reforms: The Case of Fertilizer and Maize Market Development in Kenya. In: Spielman, David, J. and Rajul Pandya-Lorch.(eds.) "Proven successes in agricultural development: a technical compendium to Millions Fed," IFPRI: Washington, D.C., pp. 349-380
Ariga, J., and T.S. Jayne. 2010. Maize trade and marketing policy interventions in Kenya. In A. Sarris and J. Morrison (eds), Food Security in Africa: Markets and Trade Policy for Staple Foods in Eastern and Southern Africa, Cheltenham, UK, Edward Elgar Publishers.
Awuor, Thomas. Competitiveness of Maize from Western Kenya and Eastern Uganda in Kisumu Town of Kenya. Master's Thesis, 2003. Major Professor: Thomas Jayne. -ABSTRACT-
Karanja, Daniel David The Impact of Maize Technologies on Income Distribution in Marginal and High Potential Regions of Kenya. Ph.D. Dissertation, 2003. Major Professor: Eric Crawford. -ABSTRACT-
Wanzala, Maria Namakhoye An Economic Analysis of the Performance of the Fertilizer Subsector in the Maize Belt of Western Kenya. Ph.D. Dissertation, 2003. Major Professor: John Staatz. -ABSTRACT-
Introduction
Starting in 1997, Tegemeo Institute and MSU have designed, implemented,
and analyzed
household-level surveys to provide an objective vantage point for discussions
on agricultural policy and poverty reduction strategies. The sample covered
approximately 1,500 households in 24 districts in 1997, 1998, and 2000.
Census data was used to find the populations of all non-urban divisions
in the country. The populations in all these divisions were assigned to
one or more agro-ecological zones (AEZ) based on secondary data1 and in-house
experience. This process resulted in dividing Kenya's rural population
into its make up by AEZ. Within each AEZ, two or three divisions were chosen
on the basis of their importance (population) within their AEZ. Diversity
in cropping patterns was allowed to influence the selection of divisions
where it was not clear which divisions to choose. These divisions fell
within 24 districts of the country. Details on the sampling procedure can
be found
in Argwings-Kodhek et al (1999), "How Can Micro-level Household Information Make
a Difference for Agricultural Policy Making? Selected Examples from the KAMPAP
Survey of Smallholder Agriculture and Non-Farm Activities for Selected Districts
in Kenya," which is viewable and downloadable in the "Conference Papers" section
of this site.
Land Access in Kenya 2012: Egerton University - Tegemeo Institute/MSU
