Operations Risks Management and Wheat Farming Productivity in Narok North Constituency
Abstract
The objective of this study was to establish the relationship between operation risk
management and farm productivity in the agricultural industry in Kenya and the
effectiveness of this relationship. Theoretically it is assumed that operation risk
management leads to high farm productivity through risk identification and matching
with appropriate risk management approach. Inferential statistics (correlations) with
farm productivity as the dependent variable and operation risk management as the
independent variable was used. These variables were used to establish whether there
is a relationship between operation risk management and farm productivity. Thus
know their effectiveness with respect to this relationship. Primary data was collected
through questionnaires with regard to 2014 wheat farming season and analyzed using
statistical tools. The population of 650 wheat farmers in Narok North Constituency
was used. The means and standard deviation were calculated for the descriptive data
and Karl Peerson was used to answer the research question. The study results
indicated that there was weak negative relationship between operation risk
management and wheat farm productivity. One of the limitations of the study was
high cost of finding a respondent due to expansiveness of the area and poor road
network especially during rainy season, thus low response rate. Also the overall rating
of operation risk management was not fully captured since some wheat farmers
belong to other counties and were not found. The study recommends for a formal
operation risk management firm which can sample farmers and rate farm productivity
based on various management approaches. This would help improve farm
productivity to farmers in Narok Sub County.
Publisher
University of Nairobi