i)
Others not related to ticks
Was it a calve
Or a mature cow
[ ]
[ ]
[ ]
How many [ ]
how many [ ]
2.5 Which cattle breed as per your own observation is
affected most by diseases?
Rank them as 1, 2, 3 with 1 being the most affected, 2
fairly affected and
Mullen, J.D., G.W. Norton and D.W. Reaves. An Economic
Analysis of Environmental
Nkonya, E., T. Schroeder, and D. Norman. (1997): Factors
Affecting Adoption of Improved Maize Seed and
Fertilizer in Northern Tanzania. Journal of
Agricultural Economics. 48
value in analyzing all the qualitative data. In this case,
cross tabulation, frequency tables and general statistics
such as means, standard deviations of certain variables
will be worked out. Inferential statistics will enable the
researcher to infer sam
literacy level and gender. Dairy farming households will
be used as units of analysis because it is in the
households that major decisions relating to production
are made. These decisions have a bearing on the extent
of involvement in dairy farming. Socio
3.3 Model Specification
The model is used to examine relationship between
adoption and determinants of adoption which involve a
mixed set of qualitative and quantitative analysis.
Qualitative models have been extensively used in
adoption studies although
3.9 Specification of Logit model
Generalized adoption model is estimated as;
Log (Pi/1-Pi) = 0 + 1 xi + ui where:
Xi represents independent variables such as farmer and
farm characteristics.
Such that:
X1 = Age of the household decision-maker (in years)
X
Purposive sampling technique will be used to identify
two divisions to be used for study. A combination of
sequential and multi-stage sampling techniques will be
used in the selection of study sample. Multi-stage
sampling technique would be used to divide
Evaluating a logit model requires examining both the
goodness of fit measures and the estimated coefficients.
The underlying assumptions of logit model are similar to
those of ordinary Least Squares (OLS). These assumptions
include:
Data is generated fro
captured. The sample size is also large enough to allow
reasonable accurate interpretation of the results. First,
the target population will be identified and stratified
according to adopters and non adopters of the
agricultural technology. Secondly the s
Questionnaire
This will be appropriate because: It enables the
respondents to use their own words in explanations and
it allows adequate time to give well thought out answers.
a)Secondary Sources
Secondary sources of data would include books,
economic sur
Thorpe, W. (1998); Dairy Cooperatives and policy Reforms
in Kenya: Effects of Livestock Service and milk
market liberalization. Food Policy. 23:173-185.
Waller, B.E., C.W. Hoy., J.L Henderson., B. Stinner and C.
Welty. (1998): Matching Innovations with
Po
farm attributes that influence adoption include, but are
not limited to, farm size, agro-ecological zone and
education
level.
The
technologies
attributes
are
commonly considered in terms of whether they are
embodied or disembodied (such as knowledge). It
Klotz, C., A. Saha, and L. J. Butler. (1995): The Role of
Information in Technology Adoption: The Case of
rbST in the California Dairy Industry. Review of
Agricultural Economics,
Kodhek, A.G. (1999) Report on revitalizing the dairy
industry in Kenya. Nair
therefore meet research objectives. To ensue the
questions asked to the farmers were standard, the
interview schedule will be pre-tested in Kesses Division
using a group of 10 farmers (5% of the total sampled
population), whose characteristics are similar
and cash crop. Agriculture thus forms the main driving
force for industrialization in the county. Most of the
industries in Eldoret town, capital of Uasin Gishu County,
are agro-based industries, which utilize the raw materials
from the agriculture sector
(dairy production zone), and since it has the highest
number of household keeping dairy cattle (DDP, Uasin
Gishu, 2010).
Finally a simple random sampling techniques will be used
to select the household units in the selected division.
Procedure that will b
help identify the targeted population for the researcher.
Each of the selected farmers will be visited once and an
interview schedule conducted during the visit. A survey
will be used in collecting the required data.
This will involve home visits where fa
analyze the adoption behavior of farmers to high breed
dairy cattle. To measure an outcome of such discrete
output, a variety of multivariate statistical techniques can
be used to predict a binary dependent variable from a set
of independent variables. Mu
estimates and it is difficult to distinguish them
statistically. Of the two models, the binomial Logit model
is easier to estimate and simpler to interpret (Abebaw
and Belay, 2001).
Quite a large number of studies have investigated the
influence of variou
a) independent variables: The socio-economic factors
b)Dependent variables: Adoption
c) Intervening variables: Agricultural extension services
provided in the area, Gender of the farmer.
3.7 Data Collection Procedures
Permission to conduct research in Uas
Binary functions can, however, be estimated through
maximum likelihood method.
The logit model is specified as follows:
P (i) = 1/[1 + exp (b xl)]
Where p (i) is the probability of adopting high breed cows
and Xi are a farmers characteristic (Davidson and