1.3 Objectives of the study
The objectives of the study were categorized as general and
specific objectives as shown below:
1.3.1 General objective
This study aiming at gathering all statistical baseline data on
the contribution of women entrepreneurs on the economic development of Rwanda
the case of expo 2010 held at Gikondo.
1.3.2 Specific objectives
· To identify challenges faced by women entrepreneurs and
how they are addressed.
· The contribution of women entrepreneurs to the
development of their families
· To investigate the contribution of women entrepreneurs
to economic development of Rwanda through taxes, job creation, export, savings,
export and economic development of their society.
· To propose and give recommendations for the promotion
of women entrepreneurship.
1.4 Research hypotheses
· There are positive correlation between the increase in
women entrepreneurs' economic improvement and the increase in family welfare,
increase in job creation, savings, and economic development of the society as a
whole.
· Poor or good performance of women entrepreneurs depend on
challenges faced by women entrepreneurs.
1.5 Significance of the study
The lack of gender statistics in various areas makes
evidence-based planning and Resource allocation difficulty (NISR; 2010).
According to OECD (2004), while without a doubt the economic impact of women is
substantial, we still lack a reliable picture, describing in detail that
specific impact.
The study will give detail information for people interested
in improving their knowledge about women's performance in Rwandan economy on
characteristics of women entrepreneurs in Rwanda (age, marital status, income,
Number of children, Education,..) that will enlighten the Rwandan society more
about the role of women in socio-economic development and it will alert
planners on the current situation of women entrepreneurs in Rwanda by providing
update information and analysis from the state of women entrepreneurship in
expo 2010.
After investigating the problems of women entrepreneurs in
Expo 2010 organized by Rwanda private sector federation, the study will give
recommendations and solutions to some problems hindering the development of
women entrepreneurship.
1.6 Methodology
The study intends to assess the impact of women entrepreneurs
on the development of Rwanda through the study of 60 women entrepreneurs in
Expo 2010. The study will use both primary and secondary sources of data.
1.6.1 Primary data
Data observed or collected directly from first-hand
experience.
According to Gilbert A. Churchill (1992), primary data refers
to the information collected specifically for the purpose of investigation at
hand. «Audrey et al (1989) adds that «primary sources come straight
from the people or workers you can collect.» The primary data method will
be used where sample women entrepreneurs will be asked using Questionnaire in
other to assess their contribution to economic development of Rwanda.
A questionnaire which is According to business dictionary
(2009) a list of a research or survey questions asked to respondents, and
designed to extract specific information, was designed and it helped the
researcher to get information on a sample of 60 women entrepreneurs in expo
2010 at Gikondo.
1.6.2 Secondary data
The research will use secondary data methods to get additions
information not provided by the
primary data such as literatures that will help the comparability
with other countries.
1.6.3 Data processing
Data will be entered in statistical software like Excel, SPSS
which enabled to correct, to code, to
edit, and to make statistical analysis regarding the findings in
questionnaire.
1.6.4 Data analysis
This form of analysis is just one of the many steps that must be
completed when conducting
a research experiment. Data from various sources is gathered,
reviewed, and then analyzed to form some sort of finding or conclusion.
Data from different questionnaire after being entered in an SPSS
16 database will be analyzed using descriptive statistics and inferential
statistics to test the relationship between variables.
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