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https://repository.seku.ac.ke/handle/123456789/2722Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Amwata, Dorothy A. | |
| dc.contributor.author | Nyariki, Dickson M. | |
| dc.contributor.author | Musimba, Nashon K. R. | |
| dc.date.accessioned | 2016-11-11T05:52:13Z | |
| dc.date.available | 2016-11-11T05:52:13Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | I n vited paper presented at the 5 th International Conference of the African Association of Agricultural Economists, September 23 - 26, 2016, Addis Ababa, Ethiopia | en_US |
| dc.identifier.uri | http://ageconsearch.umn.edu/bitstream/249315/2/77.%20Climate%20and%20small%20farmers%20in%20Kenya.pdf | |
| dc.identifier.uri | http://repository.seku.ac.ke/handle/123456789/2722 | |
| dc.description.abstract | Food security in the arid and semi-arid areas (ASALs) of Kenya is linked to climate and socio-economic factors. T his study was conducted in two ASAL counties of Kenya , Kajiado and Makueni , inhabited by pastoral communities . Both primary and secondary data were collected on climate and socio - economic aspects from published and unpublished documents . Time series data covering a 31 year period were collected on rainfall amounts, rain days, temperature , beef and maize prices, stocking, livestock sales and land under cultivation to generate descriptive statistics and regression results based on the OLS, GLS and AR models . Livestock contributed 78.2% and 38.3% of total income in Kajiado and Makueni Counties respectively . Crops contributed more to the total income in Makueni County at 5 2.7% compared to Kajiado County at 6.9% . Of the three models tested, the GLS was found to be the most appropriate based on the number of significant variables and the estimated R 2 value. The model showed that rainfall, temperature, rain days, and beef and maize prices influence income in Kajiado and Makueni Counties. Therefore, creation of micro - climate s through agroforestry moderate s temperatures, attract s rainfall, sequester s carbon and provides services such as food, timber, raw materials and employment . Moreover, initiatives that regulate beef and maize prices ensure predictable market s and income in both counties | |
| dc.language.iso | en | en_US |
| dc.title | Climate factors as determinants of food security in semi - arid Kenya: a longitudinal analysis | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | School of Agriculture, Environment, Water and Natural Resources Management (CS) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Amwata_Climate factors as determinants....pdf | abstract | 4.17 kB | Adobe PDF | ![]() View/Open |
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