CHAPTER
THREE
3.0 METHODOLOGY
3.1 Study Area.
The
research work will be in south western Nigeria, the region metamorphosed publicly
from the colony and protectorate of southern Nigeria to Western Region, Western
state, and today, it is made up of Ogun, oyo, Osun, Ekiti and Ondo state. Lagos
protectorate, now Lagos state is part of the region. The region bounded in the
North by Kwara and Kogi state, in the East, by Edo state, and in the West by
Benin Republic. It is also define by longitude 3020’ and 60
20’ East and latitude 60 18’ and 90 11
North.
The
population of the six states put together is 27, 511, 992, (19.65%) of Nigeria.
It is made up of 14,049,594 males and 13,462,398 females,(National population
commission, 2006). The cities and towns are characterized by multiplicity of
urban functions that have to do with Government and administration, tourism and
recreation, research and education, marketing and sales and so on.
Agribusiness
activities (off-farm) are concentrated at cities and town of the study area
such as processing, marketing, production, distribution, etc.
They
main farming activities are such as cassava, Yam rice, maize, millet, cowpea,
okra, vegetable, cocoa, etc. and livestock production such as goat, sheep,
cattle, poultry production, Fishery, crab, snail, Rabbit etc.
3.2 Sampling Techniques.
The
method of multi-stage sampling will be used. In the first stage, out of six (6)
states, 3 states will be randomly selected for the study area.
In
the second stage, three (3) Universities will randomly selected from the three
(3) states, given a total of nine. Purposively, one federal, one state and one
private university will be selected Finally
stage, from the three (3) universities selected 15 Undergraduates of agricultural
students will be randomly selected from each University, which will give a
total of 135 undergraduates of agriculture for the study.
3.3 Data Collection.
Both
primary and secondary data will be used for the study.
The
primary data will be collected by the use of questionnaires and oral
interviews. The questionnaires will be administered to 135 undergraduates of
agriculture (respondents). While secondary were collected from the existing
information record such as journals, published and unpublished text books, News
papers etc.
3.4 Data Analysis
Based
on the specific objectives of the study both descriptive and inferential
statistics will be employed in the analysis of the data collected.
Descriptive
statistics such as frequency, distribution percentages, and tables will be used
to analyze objective I, ii, and iii.
Inferential
statistics such as multiple regression analysis will be used to analyze objective
(iv), while, objective (v) will be analyze using factor analysis.
3.5
Model specification.
Multiple regression models is stated as:
Y = F(X1, X2, X3, X4,
X5, X6, X7) Implicit form.
Y = ao + a1X1 + a2X2
+ a3X3 + a4X4 + a5X5
+ a6X6 + a7X7 + et. Explicit form.
Y = % probability of showing agribusiness as a career.
X1 = Gender of student
X2 =
House hold size (Number)
X3 =
Educational Background of Household head
X4 =
Entrepreneurship history of family
X5 =
Occupation of parents (Dummy)
X6 =
Nature of enterprise ownership.
X7 = Experience in family business
a0 = constant
a1-a7 = Multiple coefficient
et = Error term.
X8 % interest in agribusiness.