Memoire Online - The impact of women entrepreneurs on economic development of Rwanda - Case study of women entrepreneur in expo 2010 organized by Rwanda private sector federation.

The study was carried in Kigali city at Gikondo in Expo 2010 which was organized by the Rwanda Private sector Federation (RPSF) from 26^th/08 to 8^th/9/2010.

Rwanda International Trade Fair is one of Rwanda's major annual events organized by Private Sector Federation (PSF), in conjunction with the Ministry of Trade and Industry. Such events started far back in 1978, by then organized by the ministry of commerce itself and opened to international participation mainly from neighbouring countries in 1998.

The researcher chose expo 2010 as case study because of many women entrepreneurs in the country were represented. The Private Sector Federation in conjunction with the Ministry of Trade and Industry, for the 13^th time organised the Rwanda International Trade Fair (RITF2010). This time, it was the ever biggest, colourful, high standards of stands construction, and big number of exhibitors with lots of exciting things both qualitatively and quantitatively which attracted so many visitors.

The study aimed at discovering all information related to the impact of women entrepreneurs on the economic development of Rwanda by using questionnaire on a sample of 60 women entrepreneurs in expo 2010.

The research findings will be generalized in the country situation so that to give suggestion and recommendation relating to the development women entrepreneurs development.

1.8 The Organization of the Study

Chapter one is the General introduction of the study, with a brief description of the background to the study followed by the statement of the problem, Research objectives, Research hypothesis, significance of the study, scope of the study and finally the organisation of the research.

Chapter two is the literature review it provides the background and context for the research problem. It should establish the need for the research and indicate that the writer is knowledgeable about the area.

Chapter three is the methodology adopted in the study. It contains area and scope of the study, study population, sample, sample size and selection of respondents, sources of data, data collection and entry methods.

Chapter four analyses and interpretation of the findings this chapter will deal with research findings and interpretations of results.

Chapter is concerned with literatures related to the research. It gives overall researches that have been done on the impact of women entrepreneurs on the economic development of Rwanda and enable the researcher to analyze and expand knowledge on the topic. This will help the researcher to draw conclusions and analyze based on other researches done on the topic.

Entrepreneurship is the process of creating something new with value by devoting the necessary time and effort, assuming the accompanying financial, psychic, and social risks, and receiving the resulting rewards of monetary and personal satisfaction and independence (Hisrich 2005).

Entrepreneurship is more than the mere creation of a business. Seeking opportunity, taking risks, and having the tenacity to push ideas into reality are special characteristics that permeate individuals. Entrepreneurship is a integrated concept that has revolutionized the way business is conducted (Kuratko 2004).

In its broadest sense an entrepreneur may be described as a person who has the ability to explore the environment, identify opportunities for improvement, mobilize resources and implement actions to maximize those opportunities. He is the catalyst of change able to carry out new combinations, instrumental in discovering new opportunities (volsee 1994).However for Schumpeter (1934) the entrepreneur is not a risk bearer, unless he or she owned the resources as well, but rather was the driving or key agent of change.

According to Bygrave and Hofer (1991), entrepreneurship researchers are hampered by the lack of a common conceptual framework for the concept entrepreneurship. The lack of consensus on the meaning of this term makes it imperative that researchers provide a clear statement of their meaning when they use it. Bygrave and Hofer offer such a meaning by considering the process of entrepreneurship rather than defining the term "entrepreneur." In their work, the entrepreneurial

process "involves all the functions, activities, and action associated with the perceiving of opportunities and the creation of organizations to pursue them" (Bygrave & Hofer 1991). Bygrave and Hofer's hesitancy to offer a single definition of entrepreneurship is perhaps caused by an embarrassment of riches. The concept of entrepreneurship has such a complex tradition within economic theory that formulating a succinct definition is extremely difficult, and any attempt to do so will inevitably exclude a valuable element of this history. An outline of the development of the term entrepreneurship will illustrate this point.

Like Bygrave and Hofer, Long (1983) notes that it is important to come to a common definition of entrepreneurship. To this end, long provides an historical account of the development and uses of the term. The root of the word can be traced as far back as 800 years, to the French verb entreprendre, or "to do something." Three hundred years later, a noun form of the term appeared, and soon thereafter both verb and noun entered the English language. In 1730, Richard Cantillon used entrepreneur to mean a self-employed person with a tolerance for the risk he believed was inherent in providing for one's own economic well being. Toward the beginning of the Industrial Revolution (1830), Jean-Baptiste Say further expanded the definition of a successful entrepreneur to include the possession of managerial skills.

Today Entrepreneurship is the dynamic process of creating incremental wealth. The wealth is created by individuals who assume the major risks in terms of equity, time and/or career commitment or provide value for some product or service. The product or service may or may not be new or unique, but value must somehow be infused by the entrepreneur by receiving and locating the necessary skills and resources (Hisrich 2005).

"Entrepreneurship offers tremendous opportunities for women across the world by opening doors to greater self-sufficiency, self-esteem, education, and growth - not only for the women themselves, but also for their families and their employees. And women are changing the face of business ownership internationally; between one-quarter and one-third of the world's businesses are owned by women. As their numbers grow and as their businesses prosper, they will change the way the world does business."(Julie R. Weeks 2001).

Worldwide, many women are entrepreneurs. Entrepreneurship emerges from an individual's creative spirit into long-term business ownership, job creation, and economic security. Women bring commitment and integrity because they care about economic empowerment, entrepreneurial development and innovation. Female entrepreneurs seek the professional and personal support that is found in business associations. Economic globalization has encouraged the expansion of female business ownership. «.. . The growing economic power and influence of women-owned businesses are changing the shape of the global economy,» Susanne E, (Jalbert 2000).

A study (Cooper, as quoted in Das, 2000) of women entrepreneurs in the western world «proposed that three factors influence entrepreneurship - antecedent influences (i.e., background factors such as family influences and genetic factors that affect motivation, skills and knowledge), the «incubator organization» (i.e., the nature of the organization where the entrepreneur was employed just prior to starting a business; the skills learned there) and environmental factors (e.g., economic conditions, access to venture capital and support services, role models) and the study indicates the challenges faced by women entrepreneurship such as access to finance, Access to markets, Access to training, Access to networks, Access to policy markers, Statistical invisibility».

Female entrepreneurs have demonstrated the ability to build and maintain long-term relationships and networks, to communicate effectively, to organize efficiently, to be fiscally conservative, to be aware of the needs of their environment, and to promote sensitivity to cultural differences. The global impact of women entrepreneurs is just beginning to gain intensity. Worldwide, the number of female business owners continues to increase steadily, women in advanced market economies own more than 25% of all businesses1 and women-owned businesses in Africa, Asia, Eastern Europe, and Latin America are growing rapidly (OECD 1998).

The inability of African's economy to turn the tide of underdevelopment -low food production levels, balance of payment difficulties, inflation, rapid population growth, low or negative GDP growth rates, high cost of borrowing declines in social services and standards, etc, have brought to the fore discussions on the role of women entrepreneurs and the development of the informal productive sector in Africa (LUCIA Quachey 2005).

Lately, attention has begun to fall on the use and benefits of alternative approaches' to development. It is this new policy setting that brings about the need to explore the potential contribution of women entrepreneurs in the informal and small scale industrial sector to Africa's economic recovery and development.

Entrepreneurship in all its diversity in Africa provides a dynamic and potentially efficient means of meeting many of the emerging challenges of the development and debt crisis in Africa.

However Entrepreneurship in the African context remains concerned with the graduation of informal sector ventures with a realistic business prospectus to better established and endowed enterprise, as well as promotion of economic diversification, export to niche market, future growth and higher living standards .

The World Bank Enterprise surveys (2002-2006) confirm that women entrepreneurs are a minority compared with their male counterparts. However, there is large variation across countries. Including only manufacturing enterprises with at least 10 employees, women own fewer than 10 percent of firms in Kenya, Morocco, Nigeria, Senegal, and Tanzania, but up to 40 percent or more in Botswana, Cameroon, Cape Verde, and Mozambique.

Increasing entrepreneurship among women and providing needed capital to women entrepreneurs is decisive components in Africa's long-term struggle for prosperity. Pro-active measures to build the assets of women and to connect women to markets are essential if Africa is to succeed in meeting the challenges of shared growth. A distinguishing characteristic of African economies is that gender differences lead to men and women playing substantially different economic roles (African Development Bank 1994-2000).

Although the research on African women entrepreneurs is limited, anecdotal evidence supports the belief that the creation of SMEs and the income generated by business operations and wages paid to employees help to alleviate poverty and empower women. Despite the growing recognition of the importance of African women's contributions to economic growth and their dominance of certain sectors, particularly agriculture and textiles, women generally remain marginalized, shut out of the formal economy, or constrained due to lack of access to capital (Africa Development Bank1994-2000).

Rwanda is a world leader in promoting gender equality. In just over a decade reforms in the political and legislative arena have placed women's empowerment at the forefront of government's priorities and granted women in Rwanda sweeping rights. In the aftermath of the genocide, they were seen as key to the country's recovery and development (IFC 2008).

Women's labor force participation is significant, with participation rates at a high 79.5 percent, and over 50 percent of the labor force.7 Rwandan women head 42 percent of all enterprises. They also comprise 58 percent of enterprises in the informal sector, which accounts for 30 percent of GDP, and they make a significant contribution to the country's economy through their business activities, which are well distributed across sectors (IFC 2008).

According a to the same report, A 2002 study of women entrepreneurs found that the majority are engaged in the retail sector (82 per cent), with the rest focusing on services (16 to 17 percent) and manufacturing (1 to 2 percent). Many of their businesses are successful and large, and as some of the case studies in this report illustrate, Rwandan women are increasingly branching out to nontraditional sectors such as Information and Communications Technology (ICTs).

Economic development refers to Qualitative measure of progress in an economy It refers to development and adoption of new technologies, transition from agriculture based to industry based economy, and general improvement in living standards (Igor Sharshakov 1998).

For fidelis ezeala-harrison (1996), economic development is a process through which overtime sustained increase occur in nation's per capita real income(output) accompanied by significant structural changes that allow for elevated income distribution and large increase in individual economic well-being . And the rise in income must be evident through such changes in basic living conditions as improved nutrition and high nutritional and clothing standards, improved (modern) housing, improved health and health care, low infant mortality rate, higher literacy rate, and a general environmental face-lift from a predominantly rural to an increased metropolitan flavor.

Overholt (1986) pointed out that the role of women in development has become increasingly an important issue in recent years and this has been due to the shift of emphasis away from equity concern to the recognition role of the productive roles women play and the contribution they can make to economic growth and development.

«... Study after study has shown that there is no effective development strategy in which women do not play a central role. When women are fully involved, the benefits can be seen immediately: families are healthier and better fed; their income, savings and reinvestment go up. And what is true of families is also true of communities and, in the long run, of whole countries...» (Kofi Annan 2003).

«Women are the Third World's powerhouse. They produce a staggering 60 percent of all food, run 70 percent of small-scale businesses and make up a third of the official labor force - in addition to caring for families and homes. Yet, their status rarely reflects this enormous and vital contribution. By any measure - income, education, health, land ownership, legal rights or political power - women get a raw deal. The poorest of the poor are usually women because discrimination cuts off their escape routes from poverty - education, health services, equal pay employment, access to land and finance. It is becoming increasingly clear, however, that there will only be sustainable development in the Third World when women play an equal part in decision making. No developing country can afford to ignore women's existing and potential economic contribution, or their pivotal role in determining the health and welfare of a nation's children. All the evidence points to one conclusion: economic growth and improvement in the quality of life for everyone is faster in areas where women's status is higher." (Dr. Suryani Motik 2000).

Augmenting rates of enterprise births in local areas and the facilitation of the development of new women-owned firms can have positive impacts on job creations, productivity growth, tax revenues, the availability of goods and services and the provision of positive role models. Entrepreneurship among women is important for local development and for economic development more broadly (OECD 2003).

This chapter consists of the methodology used to collect, process, analyze and interpret data for the study on the impact of women entrepreneurs on economic development of Rwanda.

Research methodology is a way to systematically solve the research problems. It may be understood as a science of studying how research is done systematically. In it we are studying the various steps that are generally adopted by a researcher in studying his research problem along with the logic behind them (Kumar 2008).

According to the same researcher, Research methods may be understood as all methods, techniques that are used for conducting of research. Research methods or techniques thus refer to the methods the researcher use in performing research operations.

Audrey (1989) states that primary sources come straight from the people you are researching from and are therefore the most direct kinds of information you can collect.

The researcher used primary data in which interview techniques was used to get some information that have not been studied on, the researcher designed a questionnaire which enabled to assess the contribution of women entrepreneurs on The economic development of Rwanda Primary data was collected in expo 2010.

Grinnell and Williams (1990) defined a questionnaire as set of written questions which calls for responses on the part of the respondents and be either self-administered.

A set of open-ended and close-ended questions were used in the research to which consisted of 19 questions divided into two part, part one consisted of demographic information of the women entrepreneur Age, Marital status, Education, Business type, Number of children and dependents, Part two consisted of economic information of women entrepreneurs their savings, Family expenses, sources of finance, reasons of being entrepreneur, Contribution to development of Rwanda, number of employee, their market and challenges.

Face to face interview was used using the questionnaire where the researcher asked women entrepreneurs in Expo face to face questions from the questionnaire.

The researcher used secondary data that is generally taken from magazine, newspaper, text books,

official documents, published reports, internet, statistics, bulletins and other documents they will enable the researcher to get information that are not covered in Primary data methods such as literatures on women entrepreneurs that was used in literature review.

In the study, the area of study is the area which the research will be carried out. The research was

Grinnell and willaims (1990:118), defines population as a totality of persons or objects which the

The population of study was 150 women entrepreneurs where the sample size of 60 women entrepreneurs were determined using the formula of slovin (1960) and the study targeted women entrepreneurs who live in Rwanda because the study was to find the contribution of women entrepreneurs in the development of Rwanda foreigner women entrepreneurs were not concerned by the study.

Sampling is the process which involves taking a part of the population, making observation on these representative groups and then generalizing the findings to the bigger population (ary 1991).

To determine the ideal sample size for a population, Slovin's formula is used which is

E=margin error of 10% or 0.1. According to Cochran (1977), 90% confidence interval is more reliable.

Data from 60 questionnaires were entered in an SPSS database that enabled the researcher to summarize correct errors, analyze or otherwise convert data into usable information. The SPSS data entry form contains all collected on variables like monthly savings, monthly expenditures, and working capital at the start both at the start of the business and currently in the business.

Data analysis is defined in business dictionary (2009) as the process of evaluating data using analytical and logical reasoning to examine each component of the data provided.

After data processing data from 60 women entrepreneurs were analyzed using SPSS 16, and excel 2007.Descriptive statistics were used where bar chart, cross tabulation table and frequencies tables were used to present the findings. In descriptive statistics also the researcher calculated the mean, standard deviation, minimum and maximum, sum for some numerical variables.

Inferential statistics has been used especially to test the relationship between some dependent
variables and independents variables using linear regression to test the relationship between the
increase in family size and monthly expenses of women after becoming entrepreneurs. Paired-

sample T test were used to test the differences between mean monthly savings, expenditure, and working capital both at the start and currently in the business.

During the research process, the researcher encountered some limitations that delayed the work. Among the limitations encountered include the following:

Access to statistics on women entrepreneurs, during this research, the researcher had to gather scarce statistics from different places the access to such statistics were a problem so the researcher decided to design a questionnaire since most of the statistical data on women entrepreneurs needed were not available.

Another limitation was to reach all the population of women entrepreneurs in expo it were costly and time consuming.

The last limitation encountered it was to ask women entrepreneurs while dealing with the clients. Women entrepreneurs some did not have time to answer the researcher because they were busy dealing with the clients and sometimes the customers interrupted the researcher so the researcher had to wait until the customers are gone.

CHAPITER FOUR: DATA ANALYSIS AND INTERPRETATION OF RESULTS 4.1. Introduction

The main concern of this chapter is to analyze data collected in EXPO 2010 on women entrepreneurs, then to interpret the results and test the hypotheses so to generate reliable knowledge on women entrepreneurship in Rwanda. The analysis intends to test whether economic situation of women entrepreneurs has improved since they started their own businesses. To achieve this goal, the comparative analysis (using paired-samples T test) will be performed on savings, expenditures and working capital patterns. Ultimately, this chapter provides an analysis on the contribution of women entrepreneurs to economic development of Rwanda through reduction of unemployment, fostering exports, and participating to government budget through tax payment.

The women entrepreneurs concerned with in this study belong to different socio-economic and demographic categories, and the sources of the funds they use in their businesses differ.

4.2.1. Demographic characteristics of women entrepreneurs in EXPO 2010 Table 4.1: Demographic characteristics of the respondents

Variables	Frequency	Percent
Age less than 20	1	1.7
20-39	28	46.7
40-49	20	33.3
50-59	8	13.3
60 and above	3	5.0
Total	60	100.0
Education primary education
secondary education	25	41.7
university education	28	46.7
	7	11.7
Total	60	100.0
Marital single	12	20.0
status married	36	60.0
Divorced	1	1.7
widowed	11	18.3
Total	60	100.0

The Table 4.1 shows that 1.67% of the respondents are less than 20 years old, 5% are between 20- 39 years old, 13.33% are between 40-49 years old, 33.33% are between 50-59 years old and 46.67% are 60 and over. The table also depicts a high concentration of women entrepreneurs in the age bracket of 20-39.

Table 4.1 shows that the interviewed women entrepreneurs in Expo having completed primary school represent 41.7% of the sample. Secondary education has been completed by 46.7%; and tertiary education was completed by only 11.7% of the sample.

Table 4.1 also indicates that 1.7% of women entrepreneurs are divorced, 18.33% are widowed, 20% are single, and 60% are married. It is evident that a greatest number of women entrepreneurs are married and the smallest number of them is divorced.

4.2.2 Cross tabulation between business type and age of respondents, marital status, education background

The women entrepreneurs are engaged in miscellaneous sectors of activities depending on their

Table4.2: Cross tabulation between sector of activities and the three variables in table 4.1

Variables	Sector of activities			Total
Variables	Manufacturing	Trade and services	Art and craft sector	Total
Age less than 20	0	1	0	1
20-39	3	12	13	28
40-49	3	2	15	20
50-59	2	2	4	8
60 and above	1	1	1	3
Total	9	18	33	60
Education primary education secondary education university education	2 5 2	5 10 3	18 13 2	25 28 7
Total	9	18	33	60
Marital single	2	8	2	12
status married	3	9	24	36
Divorced	1	0	0	1
widowed	3	1	7	11
Total	9	18	33	60

The Table 4.2 indicates the relationship between the type of business and three variables which are age bracket, marital status and education background of women entrepreneurs.

For the variable age bracket of women entrepreneurs and business types, The table 4.2 shows that
28 of women entrepreneurs (3 in manufacturing, 12 in trade and services, 13 in art and craft) are
concentrated in age bracket of 20-39; It shows that 20 of women entrepreneurs (3 in

manufacturing, 2 in trade and services 15 in art and craft) are concentrated in age bracket of 40- 49;The age bracket of 8 women entrepreneurs (2 in manufacturing, 2 in trade and services, 4 in art and craft) is between 50-59 years; the table 4.2 shows that 3 women entrepreneurs (1 in manufacturing,1 in trade and services, 1 in art and craft) their age bracket is 60years and above, the result from table 4.2 also shows that 1 women entrepreneurs (trade and services) s in age bracket of less than 20 years.

The table4.2 also shows the relationship between business type and educational background, It shows that the total of 9 women entrepreneurs are in manufacturing sector 2 of them has studied primary school, 5 of them has studied secondary school and 2 of them studied at university level. The table shows that the total of 18 women entrepreneurs in trade and services 5 of them has studied primary school, 10 of them studied secondary school and 3 has studied university.

The table above also depicts that 33 women entrepreneurs in art and craft sector 18 of them has studied primary school, 13 of them has studied secondary school and 2 of them has studied university.

Lastly table 4.2 shows the relationship between business type and marital status, it shows that a total of 9 women entrepreneurs in manufacturing sector 2 of them are single,3 of them are married, 1 of them is divorced and 3 of them are widowed. The total of 18 women entrepreneurs in trade and services 8 of them are single, 9 of them are married and 1 of them is widowed. In the total of 33 women entrepreneurs in art and craft 2 of them are single, 24 of them are married and 7 of them are widowed.

There are many reasons that make women make decision to become entrepreneurs. The figure 4.4

The figure 4.1 above indicates that 46.67% of the respondents stated that they needed to be independent and self-employee as the government encourages people to become entrepreneurs; 21.67% stated that they had too little income and needed more income to improve their life standards; 16.67% stated that they were unemployed or lost their jobs; 13.33% stated that they have no education background enough to search for jobs so they decided to become self employed; 1.67% stated that she became entrepreneur after being handicap.

4.2.4 Source of finance when they become entrepreneurs Figure4.2: Source of finance

The figure 4.2 above show that when asked about the sources of finance they used at the start of being entrepreneur, 12 out of 60 (20%) stated that they used they own savings or their own funds; 9 out of 60(15%) stated that they used commercial banks loans, 23 out of 60(38.3) stated that they got money from cooperatives and they work in cooperative, 12 out of 60(20%) stated that they got money from friends and relatives, 4 out of 60(6.7%) stated that they got money from NGOs or other sponsors.

23
4.3 Analysis of the contribution of women entrepreneurs on economic development of

After the presentation of women entrepreneurs' socio-economic characteristics of women entrepreneurs this part show how the analysis of data collected in Expo were analyzed according to research questions. It shows how the economic situation of women entrepreneurs has increased as a result of being entrepreneurs by comparing their monthly savings, expenditures, and working capital both before and after being entrepreneurs. It analyzes how women entrepreneurs contribute to family development, Unemployment reduction, Export, local development and the challenges they face.

Women entrepreneurs contribute to job creation in Rwanda by creating and giving jobs for their neighboring communities as indicated in the table below.

employ 87.3% of total employees because it composed with a combination of many activities which require sometimes working in cooperatives; 8.7% of total employees are in manufacturing sector which can extend depending on the raw material they use; 3.9% are employed in trade which show that trade does not employ many people.

The results show that many women entrepreneurs are in art and handcraft sector and they employ

Women entrepreneurs provide goods and services to the market which are either for final consumption or intermediate consumption which are used in the market system.

Some may export their product which boost the capital from abroad and had impact on the GDP of Rwanda and some import goods and services as for resale or raw material for their factory which also has an impact on the balance of payment.

The figure 4.3 shows that It is evident that 63.33% of the women entrepreneurs produce their product for local market which mean sector market, District market, Province level, and at national market, 16.67% export their market at regional level in east Africa markets, and some African countries,20% export their products in Europe, USA, Japan and others countries

Since women entrepreneurs in Expo who said they export their product is 36.7% they are many compare to other who said they import the raw material from abroad they present 10% of the sample. Most of women entrepreneurs exporters are in art and handicraft sector since most of them has mentioned the country of export. Women's contributions to Rwanda's exports are garnering international attention and increasing women's incomes

Women entrepreneurs contribute to the development of the society through tax payment, they give contributions in for construction local schools, hospitals, and they give advises of all nature for the development of their community as indicated in the bar chart.

Figure 4.4: activities women contribute more in the development of the society

The Figure 4.4 above shows that women entrepreneurs contribute a lot to the development of their society since they responded according to the activities they think they contribute more to the development of Rwanda. 51.7% stated that they pay many taxes which are used by the government in various activities that the government of Rwanda is engaged in, essential government operations such as infrastructure projects, military and educational systems, paying salaries, public investments, and financing various projects; while 40% stated that they participate in decision making at local level which mean that they help orphans, they give vocation trainings at local level for other women to become entrepreneurs, vacancy jobs to students, they participate in taking decisions regarding the development of their districts, sector, cells, some stated that they help homeless, some stated that they pay for poor people health mutual funds, some said they give

seeds to poor people for agriculture development, some pay school fees for the youth;8.3% others stated that they contribute to environmental protection, they give extra contribution for local security, they give contribution in constructing a local school.

4.3.4 Presentation and analysis of Contribution of women entrepreneurs to family development

As part of the development, development starts at home and expands to other after raising the wellbeing of the family. Women entrepreneurs contribute to the development of their families since they provide nutrition, school fees, good health, and sometimes they had a big family after the table indicating how their life style has raised as a result of being entrepreneurs we will analyze how an increase in the family size (number of dependent+ Number of children) may affect the increase in current monthly expenses.

4.3.4.1 Improvements in lifestyle of women entrepreneurs after becoming entrepreneurs

Women entrepreneurs indicated that after becoming entrepreneurs their life standards has changed some stated that they bought a car or motorbike other stated that they constructed a house etc which show the increase in their quality of life.

The Figure 4.5 above shows how being entrepreneurs has helped women entrepreneurs improve their life standards. Results show that entrepreneurship enabled 28.33% of the sampled women to construct a house, 8.33% bought a car or a motorbike, 36.67% managed to pay school fees for their children or dependents in primary, secondary school and for some at university level, it help 16.67% of them to pay their family health mutual funds,1.6% is at the level in which she has paid money for her family for recreation and leisure in parks,8.33% consist of other specific contribution to the family not quoted like, feeding the family with quality food, it helped me buy animal for husbandry, it helped me become a land owner, It helped access to clean water.

4.3.4.2 Impact of the increase in family size on current monthly expenditures of women entrepreneurs

Women entrepreneurs has sometimes a big family in which they had to contribute much for their well being.

						Std.
	N	Minimum	Maximum	Sum	Mean	Deviation
Children and
Dependents	60	1	16.00	390.00	6.5000	3.12724
Valid N (listwise)	60

The table 4.4 shows that the mean family size of women entrepreneurs is composed by 6.5 people; the maximum family size is composed of 16 people compared to the minimum family size which is composed of 1 people. The total family size of 60 women entrepreneurs is 390. The tables below analyze how the increase in family affects monthly expenditures of women entrepreneurs after becoming entrepreneurs.

	Unstandardized Coefficients		Standardized Coefficients
Model	B	Std. Error	Beta	t	Sig.
1 (Constant)	64120.104	24382.374		2.630	.011
ChildrenandDependent s	6773.830	3385.570	.254	2.001	.050

Table 4.8 indicates the model summary it shows that R square statistic indicates that 4.8 % of total variation of family size is explained monthly expenses. It is evident that the total variation is very small since it is 4.8% not more than 50%.

Table 4.9 which is the ANOVA table indicates that the model is significant at 95% confidence interval since the p-value is 0.05=0.05.

Table 4.10 indicates the relationship between the increase in family size and current monthly expenses using a model. The result shows Y=64120.104+6773.830x1(family size)

As explained by the model, increase in family size by 1 person influences monthly expenditure by 6,774 because the increase in family size is followed by increase in education fees, nutrition, and other expenses related to a large family.

The regression coefficient is statistically significant since p-value is 0.05=0.05 alpha value and the result is extraordinary since it is not less or more than 0.05.

4.3.5 Analysis of women entrepreneurs' economic situation before and after becoming entrepreneur

This part is concerned with the analysis of women entrepreneurs' situation before and after

becoming entrepreneurs, it gives an overview on the improvements made by women entrepreneurs as a result of being entrepreneurs. In this part the researcher uses paired-sample T-test to test differences between means monthly savings, monthly expenses and mean working capital both at the start and currently in the business.

This part highlights the comparison between monthly savings of women entrepreneurs before and

The table 4.11above show that the mean monthly savings of women entrepreneurs before becoming entrepreneurs was 35,800 Rfw and after becoming entrepreneurs it shifted and become 186,300 Rfr which represents an increase of 420%

	Paired Differences					t	df	Sig. (2- tailed)
	Mean	Std. Deviatio n	Std. Error Mean	95% Confidence Interval of the Difference
				Lower	Upper
Pair 1 Monthly savings before becoming entrepreneur - Monthly savings after becoming entrepreneur	-1.505E5	1.688E5	2.179E4	-1.941E5	- 1.069 E5	-6.908	59	.000

Table 4.13 indicates that the mean monthly savings of women entrepreneurs before and after becoming entrepreneurs differ. we reject null hypothesis at 95% which states that the mean monthly savings before becoming entrepreneur equal mean savings after becoming entrepreneurs since p-value is 0.000<0.05. It is evident that being entrepreneurs has helped women to increase

their monthly savings. The figure below help to compare monthly savings before and after becoming entrepreneurs.

As indicated in figure4.6 the maximum monthly savings before being entrepreneurs was 220,000 and the mean was 35,800.After becoming entrepreneurs their monthly savings has increased the maximum monthly savings become 900,000 Rfw and the mean become 186,300 Rfw.

It is evident that women entrepreneurs contribute to the development through their savings, which according to monetary theory savings foster investments and contribute to capital accumulation of the country.

Women entrepreneurs have various expenses which help the researcher to compare their monthly expenses before and after becoming entrepreneurs. This analysis show how being entrepreneur has affected their expenses using paired-sample t test.

The table4.13 above show how the mean monthly expenditure has increased after becoming
entrepreneurs. Before becoming entrepreneurs the mean expenditure was 47,363 Rfw and it

become 108,150 Rfw after becoming entrepreneurs which represent an increase of 128%. Table 4.11: Test about mean monthly expenditure

	Paired Differences
			Std.	95% Confidence Interval
		Std.	Error	of the Difference				Sig. (2-
	Mean	Deviation	Mean	Lower	Upper	t	df	tailed)
Pair 1 Before being entrepreneur	-	5.44037E	7.02349	-		-
	6.07867E			7.48406E	-46732.70402	8.655	59	.000
After being		4	E3
entrepreneur	4			4		E0

The table 4.14 above indicates that the mean monthly expenditures of women entrepreneur before and after becoming entrepreneurs differ. We reject null hypothesis which states that mean monthly expenditure before and after becoming entrepreneur are equal, since at 95% confidence interval the

In a country's economic wellbeing expenditures create wealth for a country because it is an income

for business, transport, agriculture etc. The result indicates that being entrepreneurs had a positive impact on expenditure patterns.

4.3.5.3 Comparative analysis of working capital at the start and currently in business

The comparative analysis using paired sample t test help to analyze how working capital of women entrepreneurs at the start of the business and currently in the business has increased or decreased.

			Std.	Std. Error
	Mean	N	Deviation	Mean
Pair 1 Amount of cash at the start of the business	578816.6667	60	1.17822E6	1.52108E5
Current amount of cash	3943416.667	60	6.1514E6	794136.8701

The table 4.15 indicates that the working capital or the amount of cash women entrepreneurs used at the start has increased since the mean amount of cash used at the start was 578,816 Rfr and are currently in the business 3,943,416 which represent an increase of 581%.

	Paired Differences
				95% Confidence Interval of the
		Std.	Std. Error	Difference				Sig. (2-
	Mean	Deviation	Mean	Lower	Upper	t	df	tailed)
Pair 1 Amount of cash at the start of the	-				-	-
		5.71763E
business -	3.36460		7.38142E5	-4.84162E6	1.88758E	4.558	59	.000
Current amount of cash	E6	6			6	E0

Table 4.16 help to test the null hypothesis which indicate that the mean amount of cash (working capital) at the start of the business and currently in the business for women entrepreneurs are still equal. The results indicate that we reject the null hypothesis since at 95% confidence interval p-value of 0.000 is less 0.05. The result indicates that women entrepreneurs have made a lot of

profits in all their activities since their amount of cash they had when they start the business has increased.

The contribution of women entrepreneurs on the development of Rwanda is important as indicated previously but they are many challenges that hinder their development. In these part women entrepreneurs highlighted their challenges and show how they tried to solve this challenges as indicated in the table below.

The Figure: 4.7 above indicate 38.3% of women entrepreneurs stated that the big challenge they
are facing is lack of market. Some women entrepreneur said they had specific customers from
abroad not at local level and permanent customers and sometimes when they get a market the

payment at time become difficult some said it is caused by poor marketing system; 21% of women entrepreneurs stated the lack of trainings as their big challenges. Women entrepreneurs indicate they need trainings in communication skills, management skills and technical skills and specific trainings regarding their particular business; 15% of women entrepreneurs stated lack of raw material as a challenge for them. This challenge was indicated by women entrepreneur in manufacturing sector who has small factory since they use raw material from abroad and they pay it at high cost; 8.3% of women entrepreneurs stated high taxes as a challenge for their performance. Many women entrepreneurs mentioned high taxes as a big challenge but they said it is an obligation no needs to consider it as a challenge one stated that her small factory pay 70% that's for big company not for a business which operates in art and handicraft sector; 6.7% of women entrepreneurs stated location as a challenge for their development. A location which is far from infrastructure facilities was mentioned by some women entrepreneurs; 5% of women entrepreneurs stated that they don't face any challenge in their activities; 3.3% of women entrepreneurs stated the lack of adequate technology in their activity. As mentioned by women entrepreneur many of them don't use computer and internet to market their products; 1.7% of women entrepreneurs stated they faced discrimination in property ownership since her business was imitated by another and nothing has been done to protect her property right.

The challenges quoted hinder the performance of women entrepreneurs who responded at the questionnaire.

The purpose of this study is to determine the impact of women entrepreneurs on economic development of Rwanda a case study of Expo 2010. This were achieved by analyzing their monthly savings before and after becoming entrepreneurs, their monthly expenditures before and after becoming entrepreneurs and the amount of cash at the start of the business and currently in the business. To test hypothesis paired-sample t test were used to test if the mean monthly savings, mean monthly expenditure and mean working a capital at the start all before they become entrepreneur and the mean monthly savings, mean monthly expenditure, working capital currently The null hypothesis states that they are equal. As indicated previously we rejected null hypothesis for the three variables since their p-values are less than 0.05 at 95% confidence interval.

Women entrepreneurs contributed to the development of Rwanda as indicated previously in tables, and figures. Different figures and tables help to test other non numerical variables that women entrepreneurs use to contribute to the development of the country. Women entrepreneurs contribute to export development as indicated since they sell their products outside the country which create capital for the country, they contribute to the development of Rwanda also through taxes payments, participation in local development by participating in decision making and helps orphans, protecting environment etc. Women entrepreneurs also participate in the development of through their development since development start at home by increasing their live standards. To test how an increase in one person in family can affect currently monthly savings of women entrepreneurs the results show y=64120.104+6773.830x1(family size) it shows that it can increase monthly savings by 6773.830 Rfw and the model is significant at 95% since p-value of 0.05=0.05 alpha value. The last part analyzed the challenges that women entrepreneurs face and how they tried to overcome this challenges. To test if the challenges exist we used bar chart that ranked the challenges according to percentages and the challenges affect the development of women entrepreneurs in various ways.

This chapter presents the overview of the entire on the impact of women entrepreneurs on economic development of Rwanda. It presents the summary of the whole study the interpretation of findings and it gives recommendation.

Women entrepreneurs in Rwanda have made a lot of progress in Rwandan economy and Rwanda is a world leader in promoting gender equality, providing an encouraging example of how countries affected by conflicts can seize the reform momentum in its aftermath to support the empowerment of women. Women entrepreneurs are relatively young, and many turned to business in the years following the genocide. In fact, of the small enterprises operating in Rwanda, almost 70 percent were established within the last 10 years. A 2002 study of women entrepreneurs found that the majority is engaged in the retail sector (82 percent), with the rest focusing on services (16 to 17 percent) and manufacturing (1 to 2 percent) many of their businesses are successful and large. The government's emphasis on cooperatives has had a positive impact on women's enterprise development. As indicated many women entrepreneurs are in art and handicraft sector through their basket weaver cooperatives, others are in trade and service sector others are in manufacturing sector.

The study showed that women entrepreneurs being entrepreneurs helped them to raise their standards of living and help them to contribute to the development of Rwanda through taxes payments, savings, jobs creation, export promotion, and they contribute to the development of Rwanda.

Women entrepreneurs highlight lack of market, lack of trainings, high taxes, discrimination in property right, and raw materials as their top challenges that hinder their development.

Many researches on women entrepreneurship indicates that women entrepreneurs contribute to the development of their country. This study has shown the socio-economic characteristics of women entrepreneurs, and the study showed how they contribute to the development of Rwanda.

The analysis showed that being entrepreneurs had an impact on the increase of their monthly savings, expenditures and their working capital. The results at 95% confidence interval using paired sample t test reject the null hypothesis, which help as an evidence.

This research has helped in identifying the performance of women entrepreneurs in Rwanda and increase the existence knowledge on women entrepreneurship.

This study investigates the impact of women entrepreneurs on the development of Rwanda and it took into account women entrepreneurs in Expo 2010. The whole study were divided into five parts which helped to

The results indicate that there is positive relationship between some variables that women entrepreneurs use to contribute to the development of Rwanda such as savings, taxes, local development, family development and they have been tested using descriptive statistics and inferential statistics especially correlation and linear regression some results indicated poor results and other showed good results according to variables under consideration.

The results indicate that women entrepreneurs constitute a driving force in the development of Rwanda since they create more jobs, they pay more taxes, they contribute to savings which boost investments and they contribute to the development of their families.

The research findings has shown that there is still much to be done for the development of women entrepreneurs since they are still challenges that affect the development of women entrepreneurs in Rwanda. These recommendations are directed to Rwandan Government for the development of women entrepreneurs in Rwanda.

QUESTIONNAIRE ON WOMEN ENTERPRENEURS IN EXPO 2010 AT RWANDA PRIVATE SECTOR FEDERATION GIKONDO FROM 26^TH/AUGUST TO 8^TH/SEPTEMBER 2010.

10. What changes in the quality of life would you say have come about as a result of having the business?

12. What was your employment situation immediately before you became entrepreneur?

13. Excluding yourself, how many people work for your main business? Please includeeveryone who works for the business whether on a full-time or a part-time basis and regardless of whether or not they receive a salary or wage from the business?

challenges		interventions made in case of the challenges	recommendation
Lack of market
High taxes
Lack of training
Combining family and business	obligation
Other specify

The impact of women entrepreneurs on economic development of Rwanda - Case study of women entrepreneur in expo 2010 organized by Rwanda private sector federation.

1.7 Scope of the study

1.8 The Organization of the Study