Description of potential development domains for Humidtropics—A CGIAR Research Program
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Steeg, J. van de. 2014. Description of potential development domains for Humidtropics—A CGIAR Research Program. ILRI Project Report. Nairobi, Kenya: ILRI.
Permanent link to this item: http://hdl.handle.net/10568/45976
It is extremely challenging to formulate and evaluate agricultural development strategies for regions as large and diverse as proposed in the Action Areas, and it will require multiple perspectives and thoughtful simplifications (Omamo et al. 2006). Empirical studies in Ethiopia, Kenya and Uganda (e.g. Pender et al. 1999; Pender et al. 2004; Ehui and Pender 2005) suggest that interaction of the three socio-economic and biophysical layers—population density, agricultural potential and market access—provide good explanatory power in predicting the type of agricultural enterprises and development pathways encountered in different rural communities, as the layers are strongly related to the feasibility and attractiveness of specific development and livelihood strategies (Wood et al. 1999). Omamo et al. (2006) used for East and Central Africa (ECA) GIS tools and databases to gain a better appreciation of the regional patterns of agriculture and of agricultural development challenges and opportunities. The GIS analysis disaggregates the region into geographical units, called ‘development domains’, in which similar agricultural development problems or opportunities are likely to occur, based on the spatial layers population density, agricultural potential and market access. The breakdown is done by classifying each of the three factors into two values: high or low. In the proposal for the CGIAR Research Program on Integrated Systems for the Humid Tropics an example is given for ECA, based on the Nairobi 2012 workshop. Stratification here is by domain at Field Site level with a different form of stratification used at the Action Site level (‘farming system’). The development domains in this example are defined using consistent data and criteria across the region, thus helping diagnose development constraints and formulate and evaluate strategic intervention options in comparable ways. These development domains permit consideration of the following issues: Where are those geographic areas within and across countries in ECA in which development problems and opportunities are likely to be most similar? Where will specific types of development policies, investments, livelihood options and technologies likely be most effective? For established developmental successes in any given location in ECA, where can similar conditions be found in the region?