10.60507/FK2/JY93EYHeike BaumüllerHeikeBaumüllerCenter for Development Research, Department Economy and Technological Change (ZEF B), University of Bonnbonndata2023OtherTIGAcommercialisationpovertyarable farmingyield (agricultural)Heike BaumüllerHeikeBaumüllerCenter for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn2023-09-182005-12-20T00:00:00/2005-12-20T00:00:002006-12-19/2006-12-19441ec051-f066-4129-ac8e-129fb53eb5a8879869678852893926024image/pngapplication/octet-streamimage/pngtext/xml1.0CC BY-SA 4.0Using the methodology developed by Graw and Husmann (2014), the map overlays three indicators (high agricultural potential, high poverty mass and high yield gaps) to identify areas with high potential for agricultural development and poverty reduction in Kenya. Data sources and thresholds: Agricultural potential: Suitability of currently available land area for rainfed crops, using maximising crop and technology mix, FGGD map 6.61 (2005), High: top 3 suitability classes (medium high, high and very high) Poverty mass: Number of poor people in Kenya (by district), KIHBS (2005/06), High: >300,000 per district Yield gap: Yield gap for a combination of major crops, FAO/IIASA - GAEZ (2000/05), High: < 0.25 (on a scale from 0-1, with the highest value in Kenya ca. 0.44) District boundaries: Kenya Central Bureau of Statistics (2003) Purpose: The map was generated for PhD research. The dissertation is available online: Baumüller, H. 2015. Agricultural innovation and service delivery through mobile phones: Analyses in Kenya. Thesis at Faculty of Agriculture, University of Bonn. http://hss.ulb.uni-bonn.de/2015/4046/4046.htm.This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={441ec051-f066-4129-ac8e-129fb53eb5a8}.33.013946553749115-5.5146856711701925.71726835720924143.2971496773181