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,
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 No
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. Inferen
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 beari
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 h
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
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.
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 (
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
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
Seco
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. Sti
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 th
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) R
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
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, whic
(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 househol
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 th
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 dep
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 numb
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 Coll
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