FACTORS INFLUENCING WOMEN PARTICIPATION IN COMMUNITY-BASED MICROFINANCE PROGRAMS: A CASE OF CATHOLIC DIOCESE OF ELDORET, SAVINGS AND INTERNAL LENDING COMMUNITIES (SILC) PROJECT

BY

ISAAC MUKENYA WELIKHE

A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF MASTER OF BUSINESS ADMINISTRATION (EXECUTIVE)

SCHOOL OF BUSINESS AND ECONOMICS

MOI UNIVERSITY

NOVEMBER, 2014

DECLARATION

This research project is my own original work and has never been presented for a degree in any other university.

Sign: ……………………… Date: ………………………..

Isaac Mukenya Welikhe

SBE/MBA/031/10

This research project has been submitted for examination with my approval as the University supervisor

Sign: …………………………… Date…………………………...

Dr. Lucy Rono

Snr. Lecturer

School of Business and Economics

Moi University

Sign: …………………………… Date…………………………...

Prof. Thomas Cheruiyot

Associate Professor

School of Business and Economics

Moi University

DEDICATION

This study is dedicated to my loving wife Mrs. Ann Mukenya and my parents Mr. Samson Welikhe and Mrs. Beatrice Khayongo and my siblings for their financial and moral support in the entire study period.

ACKNOWLEDGMENT

I wish to recognize my supervisors, Dr. Lucy Rono and Prof Cheruiyot for their invaluable support and constructive guidance that has made it possible for me to complete this task. I am also grateful to my friend, Mrs. Margaret Nakinai for keenly editing my work and for her unending support and patience during my study period. I acknowledge the support I received from my friends Kephas Okach and Edith shanyisa.

TABLE OF CONTENTS

iiDECLARATION

iiiDEDICATION

ivACKNOWLEDGMENT

vTABLE OF CONTENTS

xLIST OF TABLES

xiABSTRACT

xiiOPERATIONAL DEFINITION OF TERMS

1INTRODUCTION

11.1 Background of the Study

41.2 Statement of the Problem

41.3 Objectives of the study

51.4 Hypotheses of the Study

51.5 Assumptions of the Study

61.6 Significance of the Study

71.7 Scope of the Study

9CHAPTER TWO

9LITERATURE REVIEW

92.1 Women Participation in Community Based Microfinance

132.2 Community Based Microfinance Programs

162.2.1 Savings and Internal Lending Communities (SILCs)

162.3 The Role of Microfinance in Women’s Participation

182.4 Effects of Socio-Cultural Factors on Women Participation in Community Based Microfinance Programs

212.5 Effects of Socio-Demographic Factors on Women Participation in Community Based Microfinance Programs

222.5.1 Level of Education

252.5.2 Duration of Marriage

262.5.3 Spouse Income

272.6 Effects of Amount of savings on women participation in community based microfinance programs

292.6.1 Door-to-door deposit collectors

302.6.2 Rotating Savings and Credit Associations

302.6.3 Annual Savings Clubs

302.6.4 In-kind storage

312.7 Effects of Satisfaction of Interest Charges on Women Participation in Community Based Microfinance Programs

352.8 Conceptual Framework

37CHAPTER THREE

37RESEARCH METHODOLOGY

373.0 Overview

373.1 Research Design

373.2 Study Area

383.3 Target Population

383.4 Sample Size and Sampling Procedure

403.5 Sources of Data

403.5.1 Primary Data

403.5.2 Secondary Data

413.6 Research Instruments

413.6.1 Questionnaire

413.7 Validity and Reliability of Research Instruments

413.7.1 Validity

423.2.2 Reliability

433.8 Data Collection Procedures

433.9 Data Analysis

443.10 Ethical Issues

46CHAPTER FOUR

46DISCUSSIONS, INTERPRETATION AND, PRESENTATION OF RESULTS

464.0 Overview

464.1 Response Rate

474.1.1 Background Information of the Respondents

504.3 General Information

504.3.1 Effects of Socio-cultural and Demographic as Factors influencing women Participation in Community Based Micro finance Programs

534.3.2 Effects of the Amount of Savings as a factor Influencing women participation in community based micro finance programs.

554.3.2 Effects of the Satisfaction of Interest Charges as a factor Influencing women participation in community based micro finance programs

584.4 Regression analysis

604.4.1 Hypothesis Testing

62CHAPTER FIVE

62SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS

625.0 Overview

625.1 Summary of Findings

655.2 Conclusions

675.3 Recommendations

675.3.2 Recommendations for Further Studies

68REFERENCES

75APPENDICES

75Appendix I: INFORMED CONSENT LETTER

76APPENDIX II: QUESTIONNAIRES FOR RESPONDENTS

76INSTRUCTIONS

LIST OF TABLES

38Table 3.1 Target Population

42Table 3.2 Reliability Results

48Table 4.1 Background Information of the Respondents

51Table 4.2 Effects of Socio-cultural and Demographic as Factors Influencing women Participation in Community Based Micro finance Programs

53Table 4.3 Effects of the Amount of Savings as a factor Influencing women participation in community based micro finance programs.

56Table 4.4 Effects of the Satisfaction Of Interest Charges As A Factor Influencing Women Participation in Community Based Micro Finance Programs.

59Table 4.5 Regression Model

ABSTRACT

Women play a crucial role in the economic development of their families and communities but certain obstacles such as social-cultural factors, socio-demographic factors, poverty, unemployment, low household income and societal discriminations mostly in developing countries have hindered their effective participation in community based micro-finance programs. The aim of the study was to investigate the factors that influence women participation in community based microfinance programs. The following objectives was achieved for the purpose of the study; to examine the effects of socio-cultural and demographic factors on women participation in community based microfinance programs , to determine the effects of socio-demographic factors on women participation in community based microfinance programs , to establish the effects of amount of savings on women participation in community based microfinance programs and to assess the effects of satisfaction of interest charges on women participation in community based microfinance programs at Catholic Diocese of Eldoret. The study adopted descriptive survey research design. For the purpose of this study, the study targeted the women within Catholic Diocese of Eldoret; Savings and International Lending Communities. The target population specifically comprised of the self-help groups and church organized groups. The researcher targeted 280 respondents. The study used stratified sampling technique to put the members in groups. After stratification, simple random sampling was used to select the respondents. Simple random sampling was used to avoid biasness and to enable every individual to participate in the study. The sample size comprised of 74 respondents. The study used primary data obtained through questionnaires with selected respondents. The descriptive statistics that were used included frequencies tables and percentages. The inferential statistics linear regression was also used to test the hypothesis. The computer program, Statistical Package for Social Science (SPSS) version 18 for windows, was useful in coding the data that was collected. The data collected was analyzed using descriptive statistics. The study rejected this hypothesis because the study findings indicated that there was a significant relationship (β = .645, P = 0.002) between the Socio-cultural and demographic factors and the women participation in community based microfinance programs while the study also rejected this hypothesis because the study findings indicated that there was a significant relationship (β = .713, P = 0.000) between the interest rates charged and women participation in microfinance programs and finally the study accepted this hypothesis because the study findings indicated that there was no significant relationship (β = .095, P = 0.094) between the amount of savings and women participation in microfinance programs. The study concluded that the social cultural and the demographic factors affect women participation in micro-finance the most followed by the interest rate charged while the amount of savings had a negative effect on women participation. The study recommended effective training and creation of awareness on the need for participation in micro finance programs by women with an aim of raising literacy levels of the women with an aim of increasing the participation level. The information from the study also formed basis for literature for other researchers and academicians who are willing to carry out studies in the same field. Next, the study was a starting point for further studies on women participation in community based microfinance.

OPERATIONAL DEFINITION OF TERMS

Microfinance – refers to all types of financial intermediation services; savings, credit funds transfer, insurance, pension remittances, provided to low-income households and enterprises in both urban and rural areas, including employees in the public an private sectors and the self- employed.,

Micro-finance institution – refers to an organization that offers financial services to the very poor. They are also specialized providers of financial services to the micro-enterprises.

Factors - A constituent or element that brings about certain effects or results, or indicates a specific multiple, number, or quantity.

Women – A female person who participate in community based micro finance programs

Participation -different mechanisms for the public to express opinions - and ideally exert influence – regarding community based microfinance programs.

Community -A community is a social unit of any size that shares common values.

CHAPTER ONE

INTRODUCTION

1.0 Overview

This chapter presents the introductory part of the study and comprises of the background of the study, statement of the problem, objectives of the study and research hypothesis. The chapter will also review the assumptions, significance and scope of the study.

1.1 Background of the Study

Micro finance community based programs are treated as a key strategy in addressing development issues across nations since the last three decades. Microfinance has also gained huge prominence worldwide in the arena of economic development enhancement. The vision of micro financial systems worldwide is to serve the impoverished majority, help them to lift them out of poverty, and make them full participants in their country’s social and economic development (Bhardwaj and Gebrehiwot 2012). As an efficient socio-economic financial mechanism, micro-credit enables various agencies, both governmental and non-governmental, to realize their targets, among them are the Millennium Development Goals (Zhao and Zhang 2012). Microfinance is the provision of broad range of financial service such as deposits, loans, payments, money transfers and insurance to the low income households and their micro enterprises to break out of their impoverishment (Bhardwaj and Gebrehiwot 2012). Microfinance programs have the potential to transform power relations and empower the poor and women. In well-run microfinance programs, there is a relationship of respect between the provider and the client that is inherently empowering (Olaoye and Odebiyi 2012).

Internationally, fostering the women participation in the nation building became a major concern of many governments all over the world. The establishment of sustainable financial services as a means to support or empower women to help them out of poverty has been at the centre of discussions for many decades in many countries. The widely documented and mostly applied intervention methods on the issue are community based micro finance programs (Batra, 2012). The techniques used to implement these kinds of community based micro-finance programs vary from country to country. For instance, in India microfinance has become an important tool of economic development (Feroze et al. 2011). Women’s empowerment and participation in community based microfinance programs became a critical pre requisite of the socio-economic development of any community. However there are various factors that influence women participation in micro-finance which are triggered by some culture and others are the economic conditions (Feroze et al. 2011).

In Africa, several decades of extensive community-based rural development programmes undertaken by various government and non-governmental organizations have resulted in the overall achievement of reducing poverty and improving women well-being. Factors such as number of years in formal education, satisfaction of application procedures, membership to business associations and amount of saving within the financial institutions have influenced women participation in community based micro-finance programs (Moyo, 2009). For instance, a number of SACCOS and micro-finances are operating in Tanzania and are involved in a myriad of activities in the quest to empower members including women and men for a more active participation in cooperative development. The participation in community based microfinance has been different for women and men. This is because of social and economic factors in which they live and work (Casely and Lury, 2012).

In Kenya, the government (in collaboration with donor agencies) initiated a special program named “Women Enterprise and Development Fund” (WEDF) as strategic measure aimed at alleviating poverty through socio-economic participation and empowerment of women (FIDA, 2009). The WEDF (popularly known as – Women Fund) was launched in 2007 and is open to all women either as a group, company or on individual basis (Federation of Women Lawyers Kenya, 2009). Loan application forms are to be obtained either from the district offices or participating micro credit institutions (namely intermediaries),which according to official reports, were allocated a total of Kshs 685 million in 2009 to on-lend to the target groups (Kangogo, et al., 2013). Analysis of determinants of women’s participation in microfinance programme using probit model has revealed that the age of women and value of productive assets other than land have a significant negative influence on their participation. However, social backwardness, indebtedness and presence of other microcredit programmes in the same or nearby villages have a significant positive influence on women participation in this programme (Kangogo, et al., 2013). Despite these efforts, however, access to financial services to marginalized women in remoter communities in Kenya is still problematic. Studies have shown that the majority, if not all the intermediaries that are supposed to provide the services consider such areas as too costly, and therefore tend to confine their operations in the urban centers. In recent years in Kenya, there has been renewed interest in microfinance by both policy makers and practitioners (Kangogo, et al., 2013). This interest is based on its valued contribution to efforts aimed at improving the livelihoods of the rural population in the country through policies and programs geared towards addressing inequalities arising from the country’s socio-political history (Chu, 2013).

1.2 Statement of the Problem

Microfinance has become an important tool for poverty reduction in many parts of the world. Microfinance institutions (MFIs) target the poor through innovative approaches which include group lending, progressive lending, regular repayment schedules, and collateral substitutes. However, according to Otero and Rhyne (2005), the participation of women in community based micro-finance programs seems not encouraging despite the fact that international and national development programs have been giving high priority on sustainable microfinance to the poor for many years. Women play a crucial role in the economic development of their families and communities but certain obstacles such as social-cultural factors, socio-demographic factors, poverty, unemployment, low household income and societal discriminations mostly in developing countries have hindered their effective participation in community based micro-finance programs (Chu, 2013). It is against this background that the study investigated the factors influencing women participation in community based micro-finance programs.

1.3 Objectives of the study

The aim of the study is to investigate the factors that influence women participation in community based microfinance programs. The following objectives was achieved for the purpose of the study.

To examine the effects of socio-cultural and demographic factors on women participation in community based microfinance programs at Catholic Diocese of Eldoret; Savings and International Lending Communities.

To establish the effects of amount of savings on women participation in community based microfinance programs at Catholic Diocese of Eldoret; Savings and International Lending Communities.

To assess the effects of satisfaction of interest charges on women participation in community based microfinance programs at Catholic Diocese of Eldoret; Savings and International Lending Communities.

1.4 Hypotheses of the Study

This study seeks to test the following research hypothesis;

HO1 Socio-cultural and demographic factors have no significant effect on women participation in community based microfinance programs.

HO2 Amount of savings have no significant effect on women participation in community based microfinance programs.

HO3 Satisfaction of interest charges have no significant effect on women participation in community based microfinance programs.

1.5 Assumptions of the Study

For the purposes of this study the following assumptions will be made to perform the necessary analysis and evaluation of the stated research problem. First the study assumes that Catholic Diocese of Eldoret, Savings and Internal Lending Communities (SILC) project member and women have participated in community based micro finance programs in their organization. Second, it will be assumed that the respondents will answer the questions with openness, candor, and honesty with regards to the questionnaire. Finally, the third assumption will be that the results will not be biased towards one outcome over another.

1.6 Significance of the Study

The findings of the study were useful to the following stakeholders;

Government

To the government in line with the ability of micro financing services to ensure economic development by providing savings and credit to low income women, the government has been pushed to support the development of microfinance institutions. This has seen a lot of investment by the government in providing financial support to the microfinance institutions. The information from this study on the factors that influence women participation in community based microfinance may help the government in determining the viability of their investments.

Microfinance institution’s management

The microfinance institutions are formed with the objective of ensuring that women participate in community based microfinance to have access to financial services. There are several women who fall under the bracket of low income earners. Microfinance institutions aim at ensuring that all these women who are low income earners are catered for in terms of provision of financial services. It is therefore necessary for the institutions to understand the perceptions of the women on the factors that influence women participation. This information may be used by the management of the microfinance institutions in determining areas for improvement so as to ensure their success.

Academicians/ Researchers

Little research has been done in Africa to directly identify the factors that influence women participation in community based microfinance. Considering the benefits attributed to microfinance institutions in economic development and the rapid development of these institutions, factors influence have received attention of researchers and academicians. Therefore a study on the awareness and the factors influencing women participation in community based microfinance in Kenya, with major focus on Catholic Diocese of Eldoret; Savings and International Lending Communities Innovations, may therefore attract researchers and academicians who are in need of educating more and providing solutions to lack of access to financial services in Africa. The information from the study also formed basis for literature for other researchers and academicians who are willing to carry out studies in the same field. Next, the study was a starting point for further studies on women participation in community based microfinance.

1.7 Scope of the Study

The scope of the study shows the boundaries from which the study is limited for effective investigation.

Geographically, the study was limited to Catholic Diocese of Eldoret; Savings and International Lending Communities. This is due to resources and logistical problems being faced by the researcher which could not allow the researcher to carry out the research in all the organizations country wide. Conducting the research in Catholic Diocese of Eldoret; Savings and International Lending Communitieswith quite a good number of women as who participate in community based microfinance enabled the researcher to get better outcomes of the research.

In content, the study focused on the factors that influence women participation in community based microfinance as the independent variable and community based microfinance as the dependent variable using Catholic Diocese of Eldoret; Savings and International Lending Communities. The study reviews the effects of socio-cultural and demographic factors on women participation in community based microfinance programs, effects of amount of savings on women participation in community based microfinance programs and effects of satisfaction of interest charges on women participation in community based microfinance programs at Catholic Diocese of Eldoret. The study covered a period of three months, that is, from August 2014-November 2014.

CHAPTER TWO

LITERATURE REVIEW

Overview

This chapter reviews the existing knowledge or literature on factors influencing women participation in community based microfinance in relations to the objectives of the study. The chapter will review the concept of women participation in community based micro finance , community based microfinance programs, savings and internal lending communities (silcs) and the role of microfinance in women’s participation. This chapter will also review the effects of socio-cultural and demographic factors, amount of savings and interest rates charges on women participation in community based microfinance programs. The conceptual framework will also be reviewed in this chapter.

2.1 Women Participation in Community Based Microfinance

With an estimated 2.5 billion people remaining outside the formal financial system, community-based approaches to microfinance are proving to be effective for contributing to financial inclusion goals and reaching those who are currently not served by banks or other financial institutions. These approaches not only provide access to financial services at doorstep, but they also build community institutions, strengthening solidarity and social capital. Community-based approaches to microfinance are particularly useful in remote areas and especially popular among women, though they have also proven successful in urban regions (Lewis and Conaty, 2009).

A study by Kangogo, et al. (2013) on the influence of social capital dimensions on household participation in micro-credit groups and loan repayment performance have been identified following the multi-stage purposive and random sampling technique and selecting in Uasin Gishu County for the study. It has been observed that socially backward, landless and marginal farm households participate more in this programme. Possession of livestock and consumer goods by the member households has been found to deter the joining of group.

However, according to Mahadeva (2009) the number of households having informal borrowings, especially from money lenders has been recorded to be higher among the members before joining the group. Analysis of determinants of women participation in microfinance programme using probit model has revealed that the age of women and value of productive assets other than land have a significant negative influence on their participation. However, social backwardness, indebtedness and presence of other microcredit programmes in the same or nearby villages have a significant positive influence on women participation in this programme (Little, 1997).

All over the world, the significant of women entry into the workforce over the past three decades has produced profound transformations in the organization of families, society, the economy, and urban life. Since the late 1950s, women's economic activities have been steadily increasing. Women have always actively participated in their local economies. In Africa, for example, women produce 80 percent of the food and in Asia 60 percent and in Latin America 40 percent. In many cases, women not only produce the food but market it as well, which gives them a well-developed knowledge of local markets and customers. This is a small example of the importance of women's work in society. It does not illustrate the real extent of women's contribution, especially in developing countries, not only to the labour force, but also their role as a significant income-source for the family (Schumacher, 2003).

For instance, in Africa all tasks related to a family's support are the responsibility of women. Due to cultural and traditional aspects, a woman's presence has been a question of survival of her family. Women, especially poor mothers, must divide their time between work "productive role" and family "reproductive role", and balancing all the demands. Time is valuable for these women, as their livelihoods depend largely on their ability to fulfill the multiple demands of the household and the marketplace. In spite of the remarkable importance of women's participation, their jobs have been considered as an "extra income" to family survival or simply to improve its living conditions (Jackson, 2009).

Moreover, microenterprises owned by women have been considered as a way to meet primary needs instead of a profitable source of income. Unfortunately, labor markets have followed this perception and have offered less favorable conditions to women. Women workers consistently earn less than their male partners do. Women have had to fight against an adverse environment, which traditionally had been minimizing and exploiting their capacities. As a consequence of this reality, in some cases, women are just satisfied with the non-financial benefits, such as the psychological satisfaction of "social contact (Moyo, 2009). Although men, as well as women, face difficulties in establishing an additional enterprise, women have barriers to overcome. Among them are negative socio-cultural attitudes, legal barriers, practical external barriers, lack of education and personal difficulties. In spite of this, for women and especially for poor women, micro enterprise ownership has emerged as a strategy for economical survival.

One of the most essential factors contributing to success in micro entrepreneurship is access to capital and financial services. For various reasons, women have had less access to these services than men. In this context, credit for microenterprise development has been a crucial issue over the past two decades. Research has shown that investing in women offers the most effective means to improve health, nutrition, hygiene, and educational standards for families and consequently for the whole of society. Thus, a special support for women in both financial and non-financial services is necessary. Regarding limited-access to financial services, women depend largely on their own limited cash resources or, in some cases, loans from extended family members for investment capital. Smaller amounts of investment capital effectively limit women to a narrow range of low-return activities which require minimal capital outlays, few tools and equipment and rely on farm produce or inexpensive raw materials (Anielski, 2006).

In general, women need access to small loans (especially for working capital), innovative forms of collateral, frequent repayment schedules more appropriate to the cash flows of their enterprises, simpler application procedures and improved access to saving accounts. Surveys have shown that many elements contribute to make it more difficult for women in small businesses to make a profit. These elements are: lack of knowledge of the market and potential profitability, thus making the choice of business difficult, inadequate bookkeeping, employment of too many relatives which increases social pressure to share benefits, setting prices arbitrarily, lack of capital, high interest rates, inventory and inflation accounting is never undertaken and Credit policies that can gradually ruin their business (many customers cannot pay cash; on the other hand, suppliers are very harsh towards women) (Kennedy, 1995).

2.2 Community Based Microfinance Programs

One  solution  to  the  imperfect  credit  markets  is  the  concept  of  microfinance.  Since its breakthrough  that  came  with  the  start  of  banks  in  1976, microfinance  has  become  one  of  the  most  important  channels  of  accessing  credit  for  poor people  in  developing  countries  (Buckley, 1997).  Grameen bank developed a  microfinance  program  based  on  a  group  lending  technique  where  the  group  members  serve  as  guarantees  for  each  other’s  individual  loan.  The loan amount normally  starts  at  a  low level,  but  can  be  increased  as  the  lending  group  demonstrates  financially  stability  in  terms  of  repayments (Albee, 1994)  The  method  of  group  lending  and  its  fundamental  idea  of  group  responsibility  can  therefore  circumvent  the  previously  discussed  issues  that  asymmetric information  in  the  formal  banking  sector  gives  rise  to  (Ardener and Burman, 1995).    

From  the  start,  microfinance  was  called  microcredit  as  its  purpose  was  purely  lending.   Over  time  the  concept  of  micro credits  broadened  to  include  other  financial  services  as well  (Robinson  2001).  A  presentation  of  all  different  microfinance  activities  and  their objectives  are  beyond  the  scope  of  this  paper.  A  brief  summary  over  the  key  principles  of  microfinance  by  Wiig (1997). These  include  a  presumption  that  access  to  credit  is  more  important  to  the  poor  than  the  price  of  that  credit,  the  widespread  use  of  group  and  progressive-​‐lending  as  a  substitute  for  collateral,  the  maintenance  of  low  administration  costs  through  simplified  procedures,  the mobilization  of  savings  through  deposit  products,  and  the  use  of  intensive  motivational techniques (Zamperetti and Dalla, 2008).

Long and Long  (1992)  also  presents  a  list  of  activities  normally  included  in  a microfinance  program Small  loans,  typically  for  working  capital, Informal  appraisal  of  borrowers  and  investments, collateral  substitutes,  such  as  group  guarantees  or  compulsory  savings, access  to  repeat  and  larger  loans,  based  on  repayment  performance, streamlined  loan  disbursement  and  monitoring  and secure  savings  products. A  majority  of  the  loans  from  microfinance  programs  are  issued  for  self-​‐employed  and  income-​‐generating  activities  and  loans  are  thus  provided  mainly  to  poor,  who  operate,  or  plan  to  start  up  and  to  substantially  expand  small  enterprises  (Moris and Copestake, 1993).  These  microenterprises  can  range  from  production,  recycling,  repairing  or  selling  of  various  goods,  to  services  such  as  renting  out  small  amounts  of  land,  draft  animals  or  machinery and  tools  (Rogaly, 1996). Even  though  the  definition  of  microfinance  normally  only  includes  financial  activities,  it  is  common  that  a  microfinance  program  is  not  exclusively  about  providing  the  poor  with  financial  services,  but  often  includes  a  non-​‐economic  agenda  as  well. Examples  of  such  non-​‐economic  activities  are:  skills  training,  marketing,  literacy  training  and  health  care.  The  purpose  of  these  non-​‐economic  activities  is  to  give  support  to  the  lender’s  business  as  well  as  social  support  for  the  individual  borrower  and  her  family  (Lutiz,  1999). On  the  basis  of  the  economic,  as  well  as  the  non-​‐economic  activities  offered  by  a  microfinance  program,  Moselyand Hulme    (1998)  state  microfinance  presents  a  series  of  exciting  possibilities  for  extending  markets,  reducing  poverty,  and  fostering  social  change (Fairbourne, et al., 2007).

2.2.1 Savings and Internal Lending Communities (SILCs)

Savings and Internal Lending Communities (SILCs) are a type of community-based savings groups promoted by Catholic Relief Services (CRS) and its partners to strengthen the livelihoods of the people we serve. SILCs build on traditional savings practices, and benefit from the accumulated experience of savings group practitioners around the world. In order to scale up SILCs, CRS and its partners help to recruit and train community-based Field Agents/Private Service Providers who promote SILC programs, train SILC members, and supervise SILCs for a set period of time. After this time, SILCs operate on their own.

SILCs, however, are not as widespread as ROSCAs because they are more complex to manage and require a record-keeping system. For this reason, CRS plays an important role in promoting SILCs, in order to strengthen people’s livelihoods. SILC builds on people’s knowledge and experience of ROSCAs, helping communities create sustainable and profitable Accumulating Savings and Credit Association (ASCAs).

2.3 The Role of Microfinance in Women’s Participation

 Today,  a  majority  of  the  microfinance  programs  around  the  world  target  women  as  their clients.  However,  at  the  time  when  microfinance  emerged  as  a  channel  for  poor  to  access  credit  and  as  a  tool  for  development,  the  greatest  share  of  the  clients  of bank  were  men.  The  move  towards  a  stronger  focus  on  female  borrowers  was  taken  in  the  1990s  in  response  to  growing  problems  with  repayments  of  loans  among  the  male  borrowers.  Consequently,  in  2002,  95  percent  of  the  clients  of    bank  were  women  (Kindleberger, 2002).In  addition  to  being more  reliable  and  efficient  when  regarding  repayment  schemes  and  also  displaying  a  higher  degree  of  cooperativeness,  studies  have  shown  that  women  are  more  likely  to  be  credit  constrained  than  men,  have  a  more  restricted  access  to  the  wage  labour  market  and  that  it  is  thus  of  importance  to  present  women  with  possibilities  that  gives  them  access  to  these  areas.  Moreover,  by  giving  women  access  to  credit  and increasing  women’s  participation  in  income-​‐generating  activities,  women’s  bargaining  power  and  decision-​‐making  roles  within  the  household  are  also  strengthened  (Islam, 2007).  

As  previously  pointed  out,  women  tend  to  spend  a  larger  part  of  their  income  on  family  well-​‐being,  which,  from  a  development  point  of  view,  is  more  optimal  (Jaquette and Summerfield  2012).    Microfinance  is  thus  seen  as  “a  road  to  gender  empowerment”  (Zamperetti and Dalla, 2008),  something  that  is  summed  up  well  by  Chao-Beroff (1997). By providing  access  to  financing  for  income-​‐generating  activities,  microfinance  institutions  can  significantly  reduce  women’s  vulnerability  to  poverty.  A reduction  in  women’s  vulnerability  can  sometimes  also  translate  into  empowerment  if  greater  financial  security  allows  the  women  to  become  more  assertive  in  household  and  community  affairs (Thillairajah, 1994)

2.4 Effects of Socio-Cultural Factors on Women Participation in Community Based Microfinance Programs

Women are a major force behind people’s participation in life of society today. Not only do they comprise the majority in terms of population, but they also play a crucial role in society as procreators of posterity as well as producers of goods and services. Although, women have made great strides forward in obtaining finances from micro-finances in many countries, they comprise less than 15 per cent of the Members of the financial institutions, and less than 5 per cent worldwide. They hold only a fraction of other positions nationally and internationally (Simtowe, 2008).

In Kenya, traditional perceptions of women as inferior to men prevail as many people uphold cultural practices which enhance the subordination of women. Consequently, men continue to dominate women in financial realms. The latter’s financial endeavours, achievements, and roles in society are hardly recognized or acknowledged. This situation has necessitated the clarion call that women should be empowered by giving them due status, rights, and responsibilities to enable them participate actively in decision making at the community based micro-finance programs (Palmer, 2004).

Hashemi and Schuler, (1996), state that socio-cultural factors are multiple forces that can shape the personal and environmental experiences of students and include various aspects of identity development”. These socio-cultural factors include: immigrant status, ethnic identity, gender roles, community orientation, and the role of religion. Among the social factors affecting women participation in community based micro-finance are close friends in the community, culture, social involvement (service learning, organizations), informal contact with community, identification with a group, and social integration (Simtowe, 2008)

Ethnic identity development is another social-cultural factors affecting student retention in school. Ethnic identity refers to “one’s knowledge of personal ownership or membership in the ethnic group, and the correlated knowledge, understanding, values, behaviors, and proud feelings that are direct implications of that ownership. Schmidt (2008), suggested that a developmental challenge faced by women is the conflict between the need to establish their personal identity within their ethnic heritage as well as within the culture and cited several conditions influencing their identity: this include their generational status within the country, the environment where they grew up, and their self perception (Islam, 2007).

In Africa, gender roles are the most alarming factor affecting student retention. According to Mustafa (1996) he conducted a cross-cultural study and reported that in spite of mixed results, what appears to be fairly consistent is that there are differences in sex role orientation that can be attributed to race/ethnicity, gender, and social class for the cultural groups. Peace and Hulme (1994) identifies socio-cultural beliefs, attitudes, biases and stereotypes as major barriers. These emphasize the superiority of men and the inferiority of women. They form the integral part of socialization process in form of gender education and training that men and women are exposed to from childhood. Another formidable barrier is the institutional framework guiding gender division of labour, recruitment, and vertical mobility (Mahadeva, 2009)

Current estimates show that women are particularly disadvantaged with their labour often under-valued and under-utilized. Women are more likely to be employed than men, yet their average income is lower. Yet another obstacle confronting women is lack of enough participation and empowerment in decisions that affect their lives in community based micro-finance and social processes. Olaoye and Odebiyi (2012) notes that since men dominate public decision-making processes, it is the male values that are reflected in the decision-making bodies (Burton, 2008).

All over the world, the significant of women entry into the workforce over the past three decades has produced profound transformations in the organization of families, society, the economy, and urban life. Since the late 1950s, women's economic activities have been steadily increasing (Feinstein, 1997). Women have always actively participated in their local economies. In Africa, for example, women produce 80 percent of the food and in Asia 60 percent and in Latin America 40 percent. In many cases, women not only produce the food but market it as well, which gives them a well-developed knowledge of local markets and customers. This is a small example of the importance of women's work in society. It does not illustrate the real extent of women's contribution, especially in developing countries, not only to the labour force, but also their role as a significant income-source for the family (Albee, 1994).

For instance, in Africa all tasks related to a family's support are the responsibility of women. Due to cultural and traditional aspects, a woman's presence has been a question of survival of her family. Women, especially poor mothers, must divide their time between work "productive role" and family "reproductive role", and balancing all the demands. Time is valuable for these women, as their livelihoods depend largely on their ability to fulfill the multiple demands of the household and the marketplace. In spite of the remarkable importance of women's participation, their jobs have been considered as an "extra income" to family survival or simply to improve its living conditions. Moreover, microenterprises owned by women have been considered as a way to meet primary needs instead of a profitable source of income (Von Bulow, 1996).

Unfortunately, labour markets have followed this perception and have offered less favorable conditions to women. Women workers consistently earn less than their male partners do. That is the case of Cameroon women who work, for example, up to 10 hours a day, but at the end of the month, their income is far below the Cameroon monthly minimum wage of 29000 CFA francs (US$ 60). Women have had to fight against an adverse environment, which traditionally had been minimizing and exploiting their capacities. As a consequence of this reality, in some cases, women are just satisfied with the non-financial benefits, such as the psychological satisfaction of "social contact (Chu, 2007).

2.5 Effects of Socio-Demographic Factors on Women Participation in Community Based Microfinance Programs

In  recent  years,  women’s  participation  has  been  acknowledged  as  a  key  variable  of development  in  less  developed  countries.  Focusing on women’s  e participation  in   development  is  not  only  expected  to  benefit  the  women  themselves,  but  is  also  believed  to   improve,  through  positive  externalities,  the  overall  life  standard  for  their  families  and  to   strengthen  their  communities.  Amongst  these  positive  externalities  of  women’s   participation  are:  higher  education  levels;  higher  awareness  of  health  issues;  lower   fertility  rates;  and  higher  political  awareness—all  of  these  being  important  positive   factors  for  development (Chu, 2007).

It has thus been recognized that the  interrelatedness  between   women’s  empowerment and  development  makes  it  difficult  to  proceed  in  one  area  without  making corresponding  changes  in  the  other  area,  and  also  that  neglecting   women’s empowerment  and  hindering  women  from  reaching  their  full  potential  is consequently  hindering  economic  and  political  development  (Chen and Dunn, 1996). Five socio-demographic factors emerged as important determinants of membership by women in microfinance institution programmes in urban areas. This included mother’s age, level of education, duration of marriage, spouse's income and ethnicity. Overall, this study found that better educated women, who were older, married and whose spouses had high incomes were more likely to enter into micro finance loan programmes (Wignaraja, 1990).

2.5.1 Level of Education

This lack of access to or inadequate education and low literacy levels has hampered their ability to: Acquire vocational skills for self-employment; rural women are the most disadvantaged in terms of access to education and other forms of formal and informal training programmes. Given such limitations, rural women are mostly engaged in mainly subsistence farming activities, and low-income generating activities, while poor urban women operate marginal enterprises in the informal sector. These activities yield little or negative returns on investment because the enterprises experience little or no growth during the lifetime of their owners. Thus, women form the bulk of the poor in many countries (Adams and Von Pischke, 1992).

Within the framework of women groups, Mustafa, (1996), shows that women constitute 80%-90% of the unskilled labor force in the Harambee projects in Machakos and Nyeri Districts. According to Simtowe (2008), with the majority of their contributions being in the higher percentage. Though the women’s group movement, women have expanded their activities from the social to house improvement and economic projects especially in middle and high potential areas of Kenya. The Kenyan government through the women’s Bureau, has shown commitment towards the movement. According to a UNESCO survey (1982), over 64% of Kenya’s non-literate populations are women and the greatest percentage are rural inhabitants. This situation has reduced the understanding performance and managerial abilities of women. Studies by FIDA (2009) show that lack of capital /material, poor and unreliable communication, lack of markets and technical know-how and leadership bickering have contributed to the underdevelopment of the women groups (Ardener and Burman, 1995).

Women entrepreneurs, especially in developing countries lack training (Devereux and Hoddinott, 1993) and entrepreneurial process is a vital source of developing human capital as well as plays a crucial role in providing learning opportunity for individuals to improve their skills, attitudes and abilities (Barnes, 1996). Again, the effect of training on women entrepreneurs’ performance, especially in developing countries, has not been adequately addressed in the literature. Taking cognizance of the peculiar situations of most women in developing countries in terms of poverty, low educational levels and other societal discriminations (Moser and Kalton, 2002) training is a very important micro-finance factor for women entrepreneurs as it would provide the skills and experience needed for business (Pulley, 2009). Literature supports the fact that majority of micro-finance institutions’ clients do not have specialized skills, and so cannot make good use of micro-finance factors (Hossain, 2008), hence they need training. Paid employment provides prior business experience that is vital for enterprise success, yet women entrepreneurs mostly in developing countries lack this (Bouman and Hospes, 1994). This further strengthens the need for training as a micro-finance factor for the women entrepreneurs. Again, there are suggestions from literature of the need to study credit jointly with training on entrepreneurship performance in developing countries because of low educational levels of women entrepreneurs in low-income countries (Islam, 2007).

Education is related to training, and women entrepreneurs in high-income countries are better educated than those in low income countries (Inserra, 1996). Literature confirms that skill training and tertiary education have positive effect on enterprise performance (Anielski, 2006). Many women lack this, especially in developing countries (Gaile and Foster, 1996), whereas the exploitation of entrepreneurial opportunity depends on the entrepreneur’s level of education, skills or knowledge acquired through work experience, social network and credit (Moris and Copestake, 1993); hence the need for training as a micro-finance factor especially in developing economies is highlighted.

Social capital is vital for start-ups and growing firms and women entrepreneurs, especially in developing countries, lack social connections that are a source of information for access to micro-finance factors (Wood and Shariff, 1997). Again, social capital has been widely measured and found to have positive impact on the performance of women enterprises in developing countries (Goetz and Gupta, 1996). Many studies abound on the relationship between one or a combination of credit, savings, training and social capital, and women entrepreneurs’ performance (Hulme and Mosley, 1996) but there is scarcity of research that jointly links credit, savings, training and social capital to women entrepreneurs’ performance especially in developing countries.

2.5.2 Duration of Marriage

Women are also discriminated against in the allocation of lineage lands for reasons that are associated with marriage because their control over their rights to land tends to diminish upon marriage for a number of reasons like Marriage and its attendant domestic obligations reduce women’s chances of participating in community based micro finance programs or comparatively larger portions than men (Beuningen, 1997). A wife is by tradition under obligation to help her husband on his own farm or business and they tend to respond to this by abandoning their own farms/business or by acquiring smaller portions of land. One other way of acquiring land is for the individual to buy or lease from the original owners. However, this requires huge sums of money, which also limits women’s access, especially poor women (Yaron, et al., 1997).

Apart from this the problem of land administration complicates the purchase of land. The difficulty in acquiring land by women particularly impacts negatively on women farmers who derive their livelihood from the land (Zhao and Zhang, 2012). When their access to land is hampered by cultural and economic constraints, their participation in economic activity is impaired and thus reduces their own efforts at improving themselves economically and socially (Snodgrass, 1996). They thus end up as farm labourers or become workers on their husbands and therefore are economically dependent on them. Difficulties in acquiring land especially by women farmers may lead them abandoned plots with relatively low fertility and this contributes to the lower participation of women in micro finance programs (Zadek and Gatward, 1996).

2.5.3 Spouse Income

Access to credit is a fundamental need for business. The business sector thrives well when there exist an efficient financial sector that mediates between borrowers and lenders such that funds are reallocated from surplus units to deficit units within an economy. “As such women in economic activities need funds at one period or another for start-up, expansion of business or to help keep their business activities a float (Yaron, and Piprek, 1997).

Women basically lack access to credit probably because of their low level of savings as well as the lack of the necessary collateral needed for the acquisition and repayment required for a loan. Furthermore, the bureaucracy involved in acquiring a loan is too complex and daunting for most women especially those with little or no educational background. Furthermore, some banks and other financial institutions consider women as risky customers because they either lack collateral which they seek before granting a loan or that the businesses that women are involved in are not stable and structured enough to fit into their clientele (Wood and Sharrif 1997).

Thus most women are denied access to formal credit and are therefore not able to improve upon their economic activities and to move away from subsistence-based to profit-based business activities. Some women resort to informal credit institutions. Borrowing from family members may be the cheapest source of financing for some of these women but that may be in short supply. The other sources of informal credit, especially from moneylenders and traders tend to put the borrowers at a great disadvantage. This is because the terms of repayment tend to be too stringent. First, the interest to be `aid on the spouse income is tog high, in fact sometimes higher than the going bank lending rate, which needs to be paid over a pretty short period of time. If they borrowed from traders then they are compelled to sell their proceeds to them which further puts them at the losing end slice they end up selling at a relatively cheaper price then they could$ have had if they had sold to a neutral trader (Wiig, 1997).

Where credit lines priorities women, they can also isolate them from the usual family and community support structure because they may be perceived as being self-sufficient even though their access to such credit benefited the family. The probable lack of support and their sole responsibility for loan repayment can create considerable stress and worry for them, particularly if borrowing is a very new concept to them (Rutherford, 1993).

2.6 Effects of Amount of savings on women participation in community based microfinance programs

Women, with access to savings, credit, insurance, and other financial services, are more resilient and better able to cope with the everyday crises they face. Even the most rigorous econometric studies have proven that microfinance can smooth consumption levels and significantly reduce the need to sell assets to meet basic needs. With access to micro insurance, poor people can cope with sudden increased expenses associated with death, serious illness, and loss of assets. On the other hand, saving offers flexibility, and while borrowers pay interest, savers earn interest. Also, the choice to save is voluntary; once indebted, repayment is mandatory. Both savings and loans have a place, but saving is often a better choice for poor women. As stated by Sen (1999), not all poor people are “budding entrepreneurs for people living in poverty, perhaps it is access to a savings account that needs to be the core service on offer.”Rutherford (2000) suggests that the poor (like the non-poor) use financial services to turn small, frequent cash inflows (such as from daily milk sales) into usefully large sums (perhaps to buy a cow or land). They may also use financial services to turn large inflows (such as monthly salaries or proceeds from the sale of a cow) into small, frequent outflows (such as daily food purchases) (Remenyi, 1991).

Accumulated savings can also buffer expected or unexpected spikes in household expenses due to childbirth, school fees, home repairs, life-cycle celebrations, or widowhood (by death, divorce, or abandonment). Savings may also cushion familial risks due to illness, theft, or job loss or structural risks due to war, floods, or fire. Finally, savings allow people to take advantage of unexpected investment opportunities. As stored resources, savings are useful for a wide range of purposes (Mustafa, 1996). Transaction costs are the non-price costs to use of financial services. An example is the opportunity cost of time to make a deposit or withdrawal.

Transaction costs also include indirect cash expenses for transport, childcare, food, or copies needed to open an account. For the poor, transaction costs can swamp all other factors in the choice of savings mechanism. Suppose, for example, that a woman has $5 that she might save. If she must find someone to watch her children, ride a bus (fare $0.25) for half an hour (one-way), and stand in line for 20 minutes, then she may choose not to bother. Cash at home, however, is easier to “withdraw” and spend than cash at a bank (Sebstad, et al., 1996). To maintain savings, poor women must resist demands from children who need clothes, husbands who want to drink or gamble and relatives and neighbors who want loans or gifts. These short-term pressures weigh less if cash is out-of-sight and out-of-reach. Furthermore, a social obligation to save a fixed amount each day, week, or month can be an acceptable excuse for a poor woman to deny requests for help. Door-to-door deposit collectors, Rotating Savings and Credit Associations, Annual Savings Clubs, and in-kind storage illustrate these two basic strengths of low transaction costs and assistance with deposit discipline (New Economics Founaton, 1996).

2.6.1 Door-to-door deposit collectors

Poor people often pay others to collect and to keep their savings. Deposit collectors visit men and women daily—often at their doorstep or their market stall—to pick up a small, fixed amount. In Ghana for example, market women make 30 small deposits per month (a trickle). After a month, they get back 28 times their daily deposit (a lump). During the month, the collector usually keeps the deposits in a bank or lends them out informally. Poor people are willing to pay to save because deposit collectors almost eliminate transaction costs (Montgomery, 1996). Exchanges take a few seconds and occur where savers live or work. Furthermore, the presence of the collector may prompt the saver to find a way to save something, even when difficult or inconvenient. The saver willingly submits to this pressure because she knows that without it she would sometimes take the easy way out in the short term, to her long-term detriment (Mosley, 1997)

2.6.2 Rotating Savings and Credit Associations

ROSCAs are small groups who meet to make fixed contributions at intervals.(For example, 12 people might meet monthly to contribute 100 lempira each.) By turns, each member gets the pool. Those who have yet to receive the pool are savers, and members who have already received the pool are debtors. Like deposit collectors, ROSCAs are common among poor women because they offer low transaction costs and the pressure to save regularly (Ardener and Burman, 1995). Transactions costs are low because ROSCAs form among people who know and trust each other and who already meet regularly or live or work close to each other. There is pressure to save because failure to do so reduces the pool for other members (Mayoux, 1997).

2.6.3 Annual Savings Clubs

These institutions resemble large-scale ROSCAs or small-scale credit unions. Run by religious groups, social clubs, or trade associations, Annual Savings Clubs have low transaction costs because members make deposits at regular meetings that they would attend anyway for non-financial reasons (for example, after weekly services in a mosque). The publicity of the deposit imposes external pressure to save. Annual Savings Clubs are more flexible than ROSCAs; each saver chooses the amount to deposit, and balances earn interest (Hyman and Dearden, 1996). The annual cycle starts and ends near major events such as Christmas or harvest that require or produce large cash flows. It is not clear how often poor women save in Annual Savings Clubs, especially ones run through male-dominated organizations (Kindleberger, 2002).

2.6.4 In-kind storage

Probably the most common form of informal savings for poor women is the in-kind storage of small, high-value items that can be sold for cash in an emergency. Examples include jewelry, cutlery, radios, bricks, steel reinforcement bars, cattle, goats, chickens, extra sets of clothes or shoes, bottles of alcoholic beverages, and sacks of rice, corn, or concrete. Cash under the mattress is also a form of in-kind storage. Transaction costs are low; “deposits” just require purchases of small, high-value items. The temptation to “withdraw” is low because sales usually fetch low prices and require time and effort to find a buyer (Khandker, 1996)

2.7 Effects of Satisfaction of Interest Charges on Women Participation in Community Based Microfinance Programs

There are three kinds of costs the MFI has to cover when it makes microloans. The first two, the cost of the money that it lends and the cost of loan defaults, are proportional to the amount lent. For instance, if the cost paid by the MFI for the money it lends is 10%, and it experiences defaults of 1% of the amount lent, then these two costs will total $11 for a loan of $100, and $55 for a loan of $500. An interest rate of 11% of the loan amount thus covers both these costs for either loan." The third type of cost, transaction costs, is not proportional to the amount lent. The transaction cost of the $500 loan is not much different from the transaction cost of the $100 loan (Montgomery, 1996).

Both loans require roughly the same amount of staff time for meeting with the borrower to appraise the loan, processing the loan disbursement and repayments, and follow-up monitoring. Suppose that the transaction cost is $25 per loan and that the loans are for one year. To break even on the $500 loan, the MFI would need to collect interest of $50 + 5 + $25 = $80, which represents an annual interest rate of 16%. To break even on the $100 loan, the MFI would need to collect interest of $10 + 1 + $25 = $36, which is an interest rate of 36%. At first glance, a rate this high looks abusive to many people, especially when the clients are poor. But in fact, this interest rate simply reflects the basic reality that when loan sizes get very small, transaction costs loom larger because these costs can't be cut below certain minimums (Inserra, 1996).

In microfinance, interest calculation is made usually in flat system as opposed to declining method, which is customary in the banks. As for instance, 15% interest in flat system is congruous to 30% in declining method. Mostly the interest rate is 15%independent of other financial costs. The PKSF funded branches of the MFIs, however, charge interest at 12.5% for the moderate poor and 10% for the hard-core or ultra poor clients. There are some MFIs found among the INCOME partners that are providing health services to the clients who charge 17% or even 18% interest against the loans using the flat method. The findings show that 100% (29) groups say they do not like the current rates of interest charged by the MFIs (Hyman and Dearden, 1996).

In many countries, including Uganda, Bangladesh, and Bolivia, microfinance has become more competitive in recent years.1 Competition is generally expected to benefit consumers by offering a wider choice of appropriate products and providers, better service, and lower prices (Hossain, 2008).

However, in some countries where microfinance is considered competitive, interest rates on microloans have remained stubbornly high. For example, in Bangladesh, interest rates on loans have averaged 15 percent flat for many years, despite competition among hundreds of microfinance institutions (MFIs). This situation has been criticized by politicians and some activists and has even led to interventions, such as interest rate ceilings, to address the apparent failure of market-based solutions (Holcombe, 1995).

In Bangladesh, for example, the state apex body PKSF recently capped on-lending interest rates for its MFI clients at 12.5 percent flat. MFIs’ interest rates play an important role in the distribution of the gains to microcredit access that has sky-rocketed in the past few decades. As we can see from the recent microfinance crisis, it is interest rates that most problems in microfinance emerge through, directly or indirectly, regardless of what the trigger is. At the same time, it often is interest rates that those problems are settled through. That is why MFI’s high interest rates have constantly been at issue (Hashemi, and Riley, 1996).

While commercial banks’ lending interest rates are usually from 5% to 20%,1 microfinance institutions’(MFIs) nominal interest rates mostly disperse between 20% and 50% (Ditcher and Haper, 2007). After the initial public offering (IPO) of Banco Compartamos in 2007, the debate surrounding MFIs’ high interest rates became even more intense. Yunus (2009) proposed a simple method for evaluating the interest rates of MFIs. Yunus classifies MFIs into following three zones based on their interest rate premium (interest rate – cost of funds): Green Zone (interest premium ≤ 10%), Yellow Zone (10% <interest premium ≤ 15%), and Red Zone (interest premium > 15%). Yunus says that MFIs, which belong to Red Zone, are loan sharks, whereas MFIs in Green Zone are devoted to the poverty reduction mission. However, it is not clear how valid this criterion is, since we lack hard data on justifiable markups by MFIs (Devereux and Hoddinott, 1993).

2.8 Conceptual Framework

A conceptual framework is a model that presents and explains the relationship between various variables. In a conceptual framework there are three types of variables: dependent, independent and intervening variable. In this study, as conceptualized by the author (2014), the independent variables are the factors influencing which include socio-cultural factors, socio-demographic factors, amount of savings andsatisfaction of interest charges. These independent variables influence participation in community based microfinance which in this study is the dependent variable.

Independent Variables Dependent Variables

image1.emf image2.emf (Factors Influencing)

Source: Researcher’s Work (2014)

Figure 1.1 Factors Influencing Participation in Community Based Microfinance

From the above figure 1.1 shows that there are several factors that influence women participation in community based microfinance and this include the socio-cultural factors, socio-demographic factors, amount of savings and satisfaction of interest charges. The social cultural factors include that norms, culture and values adopted by some of the communities which affects them in participating in community based microfinance. The socio-demographic factors include women’s age, level of education, duration or status of marriage, income level and ethnicity. The other factor influencing women participation is amount of savings that is within the financial institution and the satisfaction of interest charges.

CHAPTER THREE

RESEARCH METHODOLOGY

3.0 Overview

This chapter majorly highlights the following elements: area of study, research design, target population, sampling size and sampling procedures, types of sources of data, data collection procedures, research, instruments, questionnaire, interview schedule, reliability and validity of the research instruments, data analysis and ethical considerations.

3.1 Research Design

Research design is a plan for collecting and utilizing data so that desired information can be obtained with sufficient precision (Miles and Huberman, 2004). The study adopted a descriptive survey research design. The descriptive design adopted because descriptive studies are not only useful for fact finding but often result in the formulation of important principles of knowledge and solution to significant problems (Orodho, 2003). It was appropriate for obtaining factual and attitudinal information (Yin, 2004). This study sought to obtain descriptive and self reported information from women groups within the church.

3.2 Study Area

The study was conducted in Catholic Diocese of Eldoret; Savings and International Lending Communities. Catholic Diocese of Eldoret; Savings and International Lending Communities is located in Eldoret town off Uganda road. This area is selected because there is no similar evidence of such study having been done in the study area. The area was also selected because there are several women who have participated in community based microfinance programs. It is therefore believed that the study area gave a wide and varied view of the problem under study.

3.3 Target Population

According to Cooper and Schindler (2000), a population is the total collection of elements about which to make inferences. For the purpose of this study, the study targeted the women within Catholic Diocese of Eldoret; Savings and International Lending Communities. The target population specifically comprised of the self initiated groups and the association organized by the church. The reason why the researcher targeted the respondents was because they had the right information the researcher is interested in. The researcher targeted 280 respondents as shown on the table below.

Table 3.1 Target Population

Category

Target population

Self initiated (self help groups)

63

Church Organized

217

TOTAL

280

Source: Catholic Diocese of Eldoret (2014)

3.4 Sample Size and Sampling Procedure

Creswell (2009) states that sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. The sampling frame must be representative of the population and this is a question outside the scope of statistical theory demanding the judgment of experts in the particular subject matter being studied. The study used stratified sampling technique to put the women in groups. After stratification, simple random sampling was used to select the respondents. Simple random sampling was used to avoid biasness and to enable every individual to participate in the study. Yamane (1967) provides a simplified formula to calculate sample sizes. This formula was used to calculate the sample size. A 0.95% confidence level and P = 0.05 was assumed during the study. The sample size formulae provide the number of responses that need to be obtained.

n=NC2

_______________

C2 + (N-1)e2

Where;

n is the sample size,

N is the population size,

e is the level of precision.(0.05)

C is the confidence level(0.5)

Thus the sample size was determined through the following calculations

NC2 280×0.52

n= _______________=__________________=74

C2 + (N-1) e2 0.52 + (280-1) * 0.052

The sample size comprised of 74 respondents.

3.5 Sources of Data

There was two types of data sources that researcher obtained from the data collection approaches above to provide the necessary input for further analysis of this study. These two types of data sources were primary data and secondary data.

3.5.1 Primary Data

Primary data are collected specifically for the analysis desired (Polit and Hungler, 2007). Primary data collection usually involves the originated data that has been collected by the researcher for a purpose to delve specific research problems. Researchers are responsible to collect the data in an efficient and useful format for decision-making as the data is not exists in a compiled form. The primary data collected using the methods below to enhance the validity of the findings. The data collection strategy used is determined by the question of the study, and also by determining which source of data yielded the best information with which to answer the question.

3.5.2 Secondary Data

Secondary data is a resource of information that has been collected from other alternatives by the researcher or any other authors. According to Miles and Huberman (2004), secondary data are the statistics that are already exist, and they had been gathered for a previous purpose, not for immediate study at hand. In addition, they have already been compiled and are available for statistical analysis. It is also important to support the efforts of the researcher in gaining any additional information about interconnection with the research that has been done. Secondary sources include things like historians’ or sociologists’ analyses, as well as the accounts of people who were not eyewitnesses and are not scholars.

3.6 Research Instruments

During the data collection period, the researcher used one research tool to gather the relevant information under the area of the study. The study used primary data obtained through questionnaires with selected respondents. The questionnaires was piloted by a pre-testing the level of understanding of questionnaires. The questionnaires were distributed personally to the respondents.

3.6.1 Questionnaire

This instrument was used to transmit a set of questions to which the subject required to respond to fill in their answers depending on their understanding of the factors affecting strategy formulation. In the study, the researcher used the questionnaire of opinion which sought to ascertain the attitude or opinion of the respondent. The questionnaires was both closed and open in order to give the respondent a chance to respond to that which has not been captured in the questionnaire.

3.7 Validity and Reliability of Research Instruments

3.7.1 Validity

Validity refers to whether the questionnaire or survey measures what it intends to measure. As nearly as possible, the data gathering should match the decisions you need to make.  This means if the researcher needs to make a priority-focused decision. In ensuring the questionnaires validity, the researcher gave the copy to the supervisor who determined whether it suits the study or not. The questionnaire should be able to help collect the needed information for it to be termed valid (Polit and Hungler, 2007).

3.2.2 Reliability

A reliable questionnaire is one that that would give the same results if the study used it repeatedly with the same group. The one that was able to fetch the required information and this means that there is high level of clarity of the questions asked in the questionnaire to enable the correspondent to understand the presented question. To test the reliability of a questionnaire, the researcher carried out a pilot test on them i.e. issue them out to non- target sample people to determine whether they are clearly understood or are ambiguous. The questionnaire should lack any elements of ambiguity for it to be termed reliable. The study also employed the Cronbach's Alpha method to determine the reliability of the research instruments as per the objectives. Reliability results on 0.7 and above were considered reliable.

Table 3.2 Reliability Results

Reliability Statistics – Social Demographic Factors

Cronbach's Alpha

N of Items

.808

5

Reliability Statistics – Interest rates

Cronbach's Alpha

N of Items

.708

5

Reliability Statistics – Amount of Savings

Cronbach's Alpha

N of Items

.759

5

Reliability Statistics – Level of Awareness

Cronbach's Alpha

N of Items

.912

5

Source: Researcher’s Work (2014)

All the objectives indicated reliability results of over 0.7 to imply that the data collected was reliable enough for the study.

3.8 Data Collection Procedures

This refers to the series of events to be followed during the data collecting process. In this research study, the researcher first sought a letter of introduction from Moi University and a research permit from the Ministry of education. The researcher then booked an appointment with the Catholic Diocese to seek for permission to carry out the study on a date provided by the management before making a formal visit on the day of the appointment which depended on the availability of the respondents in the organization. On the day of the study, the researcher picked the samples and issued them with the questionnaires. They were given 40 minutes to fill in and in case of any problem; the researcher assisted the respondents. The researcher then assembled the collected data, appreciate the respondents before leaving.

3.9 Data Analysis

Data analysis is the process of creating order, structure and meaning to the mass of information collected (Mugenda, 2003). The computer program, Statistical Package for Social Science (SPSS) version 18 for windows, was useful in coding the data that was collected. The data collected was analyzed using descriptive statistics. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data which provides simple summaries about the sample and about the observations that have been made (Obure, 2002). The descriptive statistics that were used included frequencies tables and percentages. Graphs and charts were also used to analyze data. Another method that was used is cross tabulation process, an essential technique in tabulating frequencies and occurrences of some variables. The inferential statistics regression analysis was also used to test research hypothesis. It was used to measure the relative influence of each independent variable based on its covariance dependent variable and was useful in forecasting. The regression equation employed in the study was as follows;

Y = C + β1X1 + β2X2 + β3X3 + Error rate

Where Y = Level of women participation in microfinance programs (Independent Variable)

Β = Coefficient

X1 = Social Demographic Factors (Independent Variable)

X2 = Interest rates Charged (Independent Variable)

X3 = Amount of Savings (Independent Variable)

3.10 Ethical Issues

To ensure that the study complied with the ethical issues pertaining research undertaking, a permission to conduct the research was sought from the respective authorities. A full disclosure of all the activities concerning the study was explained to the authorities and this involved the study intention which was only for learning purposes. A high level of confidentiality and privacy was observed and the findings of the study only submitted to the University and the Catholic Diocese of Eldoret; Savings and International Lending Communities. A letter of introduction was also obtained from the University to serve as evidence of the purpose of the study. In respect for the informants and in order to protect them from abuse of data they gave for the research against their people, data was presented in such a way that it did not link to individuals who gave it except by the researcher who may need to seek clarification during analysis of data.

3.11 Limitations of the Study

The study limited itself to factors that influence women participation in community based micro finance programs. The study was conducted to cover only Catholic Diocese of Eldoret; Savings and International Lending Communities among other organizations in the country. Findings therefore were limited to the church thus not useful to other organizations. This study intended to collect data using questionnaires as the main instrument in the research.

CHAPTER FOUR

DISCUSSIONS, INTERPRETATION AND, PRESENTATION OF RESULTS

4.0 Overview

This chapter aimed to analyze the factors influencing women participation in community based microfinance at Catholic Diocese of Eldoret, Savings and Internal Lending Communities (SILC) Project. This chapter will review the response rate, findings on the background information of the respondents and in relation to the objectives of the study.

Regression analysis and hypothesis testing will also be viewed in this chapter. The information collected was presented in tabular and graphical formats. Discussions of the findings were also given and the information analyzed was interpreted in relation to the research objectives to ensure that it is provides answers to the research questions.

4.1 Response Rate

The study sought to establish data from 74 respondents as a representative sample. The researcher issued a total of 74 and out of the 74 questionnaires distributed to the respondents, the study was able to collect information from 62 and this showed a response rate of 84% of the total which was considered valid for the purpose of research. Keeter et al. (2006) states that any survey with a response rate of above 70% gives out a more reliable and accurate information as it manifests significant feedbacks.

The cross sectional nature of the sample was intended to collect views regarding the subject from several perspectives as shown in the frequency tables graphs and charts below.

4.1.1 Background Information of the Respondents

The research found it necessary to analyze the general characteristics of the respondents as the characteristics of the respondents could have had an influence on the responses elicited from the respondents. The demographic information of the respondents was conceptualized by the, age, education level and numbers of years respondents has been within Catholic Diocese of Eldoret.

Table 4.1 Background Information of the Respondents

 

 

 

Age Bracket of the Respondents 

 

Frequency

Percent

21-30 years

26

41.9

31-40 years

23

37.1

41-50 years

9

14.5

Above 50 years

4 104

6.5

Total

62

100

Level of Education of the Respondents  

 

Frequency

Percent

Primary

22

35.5 64.16

Secondary

23

37.1

Certificate

4

6.5

Diploma

5

8.1

College

5

8.1

University

3

4.8 3.33

Total

62

100

Number of Years in Catholic Diocese of Eldoret  

 

Frequency

Percent

1- 5 years

54

87.1

6-10 years

6

9.7

Above 15 years

2

3.2

Total

62

100

Marital Status of the Respondents

Married

49

79.0

Single

11

17.7

Separated

2

3.2

Total

62

100

According to the findings, majority (41.9%) of the respondents were in the age bracket of 21-30 years while a significant number 37.1% were between 31-40 years. It was also clear that 14.5% were in the age bracket of 41-50 years and the remaining partly (6.5%) were above 50 years of age. This is an indication that the age bracket of the respondents was well represented whereby the study was able to collect data from older and young respondents who were well versed with the factors influencing women participation in community based microfinance and the researcher was able to collect information from different age groups whether young or old participated in the study.

From the results it was clear that a significant number (35.5%) of the respondents were primary holders whereas a majority (37.1%) of the respondents attained the secondary level of education. The respondents who attained the certificate level of education accounted for 6.5% of the population while those who attained the diploma and college represented 8.1% and college the remaining partly (4.8%) were university degree holders. This indicates the majority of the respondents have a secondary level of education with a sizeable amount with primary level of education. This forms a good population who is educated and therefore is in better position to answer questions and give a technical opinion on the subject of the study.

Table 4.1 shows that majority (87.1%) of the respondents had been within the Diocese for 1-5 years whereas 9.7% had been there for 6-10 years. It was also established that the remaining 3.2% of the respondents had been at the Catholic Diocese of Eldoret for above 15 years. The findings indicated that varied responses could be collected from the respondents considering that those who had little years at the church and those who had stayed for many years within the church participated in the study.

The findings indicated that the marital status of the respondents varied. The findings revealed that majority (79.0%) of the respondents were married while a significant number 17.7% were single. It was also clear that the remaining partly 3.2% of the respondents were separated. The findings indicated that varied responses could be collected from the respondents considering that those who married, single or separated participated in the study.

4.3 General Information

With an aim of identifying the factors influencing women participation in community based microfinance, the study investigates the extent to which they agreed with a number of statements on the objectives of the study which included the effects of socio-cultural and demographic, amount of savings and satisfaction of interest charges as factors influencing women participation in community based microfinance. The findings are as presented below:

4.3.1 Effects of Socio-cultural and Demographic as Factors influencing women Participation in Community Based Micro finance Programs

The respondents were asked to indicate the effects of socio-cultural and demographic as factors influencing women participation in community based micro finance programs. The findings are as presented below.

Table 4.2 Effects of Socio-cultural and Demographic as Factors Influencing women Participation in Community Based Micro finance Programs

Socio-cultural and Demographic Factors

SA

A

N

D

SD

Total

Means

I have too many family obligations to participate in community based micro-finances

Freq

2

7

6

23

24

62

2.60

(52%)

%

3.2

11.3

9.7

37.1

38.7

The norms and values of my culture does not allow me to participate in community based microfinance programs

Freq

3

5

2

11

41

62

2.45

(49% )

%

4.8

8.1

3.2

17.7

66.1

100

My spousal income and family situation demands I engage in activities such as to participate in community based microfinance programs

Freq

27

22

0

9

4

62

4.16

(83%)

%

43.5

35.5

0.00

14.5

6.5

100

My age and education have made me realize that it is important to participate in community based microfinance programs

Freq

35

17

0

7

3

62

4.35

(87%)

%

56.5

27.4

0.00

11.3

4.8

100

Reflection on Table 4.2, it was established that 52% of the respondents were of the opinion that they have too many family obligations to participate in community based micro-finances with a mean of 2.60. It was also clear that 49% of the respondents accepted that the norms and values of my culture does not allow me to participate in community based microfinance programs (Mean=2.45) and 83.2% were of the opinion that their spouse income and family situation demands them engage in activities such as to participate in community based microfinance programs with a mean of 4.16 and the remaining majority (87%) were of the opinion that their age and education have made them realize that it is important to participate in community based microfinance programs (Mean=4.35).

The findings were interpreted to mean that age and education are key features in determining women’s participation in microfinance based programs. This could be because of the experience and knowledge associated with age and education. This provides women with the relevant knowledge that they require to understand the importance of participating in microfinance based programs with an intention of bettering their living standard in the society.

These findings are in agreement with Dichter, T. & Harper (2007) findings that note that the right information is always a key ingredient in determining the level of participation in microfinance programs. In his study, Dichter and Harper (2007) noted that there was a significant relationship between the education level of women and their participation in the microfinance based programs. The study findings also noted that the age of women participating in the micro finance based programs were mainly of the age 40 years and above. His study consequently concluded that there was a significant relationship between the age, education level and the participation in the micro-finance based programs.

4.3.2 Effects of the Amount of Savings as a factor Influencing women participation in community based micro finance programs.

Table 4.3 shows the effects of the amount of savings as a factor influencing women participation in community based micro finance programs. The findings are as presented below.

Table 4.3 Effects of the Amount of Savings as a factor Influencing women participation in community based micro finance programs.

Amount of Savings

SA

A

N

D

SD

Total

Means

The amount of saving within the bank does not allow me to participate in community based microfinance programs

Freq

5

3

2

15

37

62

2.55

(51%)

%

8.1

4.8

3.2

24.2

59.7

100

The little savings I have within the bank has enabled me to participate in community based microfinance program

Freq

25

18

1

7

11

62

3.89

(77.8)

%

40.3

29.0

1.6

11.3

17.7

100

I joined microfinance program to start saving

Freq

34

15

4

3

6

62

4.11

(82.2%)

%

54.8

24.2

6.5

4.8

9.7

100

My savings are mostly used for household needs hence cannot enable me to participate in community based microfinance program

Freq

5

4

3

14

36

62

2.55

(51%)

%

8.1

6.5

4.8

22.6

58.1

100

The desire to grow my savings through intervals has necessitated me to join a micro finance basses system

Freq

24

29

4

3

2

62

4.08

(81.6%)

%

38.7

46.8

6.5

4.8

3.2

100

Table 4.3 indicate that 51% of the respondents were of the opinion that the amount of saving within the bank does not allow them to participate in community based microfinance programs (Mean=2.55) while 77.8% agreed that the little savings they have within the bank has enabled me to participate in community based microfinance program with a mean of 3.89. it was also clear that majority (82.2%) were of the opinion that they have joined microfinance program to start saving (Mean=4.11) and 51% said their savings are mostly used for household needs hence cannot enable them to participate in community based microfinance program with a mean of 2.55 and the remaining 81.6% agreed that the desire to grow their savings through intervals has necessitated them to join a micro finance basses system (Mean=4.08).

The findings were interpreted to mean that the amount of savings have a significant effect on the women participation in micro financed based programs. The findings revealed that there was a reason why the women and men joined the program and there motive was to start saving as indicated by the majority of the respondents. This is due to the fact that some of the people did not acquire enough knowledge on the importance of micro finance based program which enabled them to start savings for future investments and also to meet their daily needs. It is also because some individuals like women basically lack access to credit probably because of their low level of savings as well as the lack of the necessary collateral needed for the acquisition and repayment required for a loan.

The findings are in line with a study conducted by Batra (2012) whose main objective was to assess the factors determining women self help group members and their patterns in rural Haryana who acknowledged that women participation in microfinance based programs are vital for quality and development through their savings and their participation enables them to acquire enough knowledge on how to utilize the little savings made on their own investments as a community, group or individuals.

Batra (2012) further states that women, with access to and have started saving, have credit, insurance, and other financial services, are more resilient and better able to cope with the everyday crises they face. Even the most rigorous econometric studies have proven that microfinance can smooth consumption levels and significantly reduce the need to sell assets to meet basic needs. Accumulated savings can also buffer expected or unexpected spikes in household expenses due to childbirth, school fees, home repairs, life-cycle celebrations, or widowhood (by death, divorce, or abandonment). Savings may also cushion familial risks due to illness, theft, or job loss or structural risks due to war, floods, or fire. Finally, savings allow people to take advantage of unexpected investment opportunities.

4.3.2 Effects of the Satisfaction of Interest Charges as a factor Influencing women participation in community based micro finance programs

The respondents were asked to indicate the effects of the satisfaction of interest charges as a factor influencing women participation in community based micro finance programs. The findings are as presented below.

Table 4.4 Effects of the Satisfaction Of Interest Charges As A Factor Influencing Women Participation in Community Based Micro Finance Programs.

Satisfaction of Interest Charges

SA

A

N

D

SD

Total

Means

Interest rates are more stable in the microfinance program hence more participation in community based microfinance programs

Freq

33

13

1

7

8

62

4.11

(82.2%)

%

53.2

21.0

1.6

11.3

12.9

100

The interest charges are too high for me to participate in community based microfinance programs

Freq

3

7

2

9

41

62

2.48

(49.6%)

%

4.8

11.3

3.2

14.5

66.1

100

The interest rates payable to the institution are affordable to all women hence high participation in community based microfinance programs

Freq

39

9

1

5

8

62

4.55

(91%)

%

62.9

14.5

1.6

8.1

12.9

100

Interest rates can only go down after you take a loan hence no worry of repaying more hence more participation in community based microfinance programs

Freq

8

7

5

14

28

62

2.76

(55.2%)

%

12.9

11.3

8.1

22.6

45.2

100

Microfinance based organizations interest rate are regulated by a policy document that defines exactly how much interest should be charged clearly hence more participation in community based microfinance programs

Freq

33

16

4

5

4

62

4.13

(82.6)

%

53.2

25.8

6.5

8.1

6.5

100

According to the findings, 82.2% of the respondents were of the opinion that interest rates are more stable in the microfinance program hence more participation in community based microfinance programs with a mean of 4.11. It was also clear that 49.6% of the respondents were of the opinion that the interest charges are too high for me to participate in community based microfinance programs with a mean of 2.48.

It was also clear that majority (91%) of the respondents were of the opinion that the interest rates payable to the institution are affordable to all women hence high participation in community based microfinance programs (Mean=4.55) and 55.2% agreed to the opinion that interest rates can only go down after you take a loan hence no worry of repaying more hence more participation in community based microfinance programs with a mean of 2.76. It was also established that 82.6% of the respondents were of the opinion that microfinance based organizations interest rate are regulated by a policy document that defines exactly how much interest should be charged clearly hence more participation in community based microfinance programs (Mean=82.6).

The findings were interpreted to mean that the reason why women participate in community based micro finances programs is due to the fact that the interest rates payable to the institution are affordable to all women hence high participation in community based microfinance programs. This also shows that some of the women also had negative attitudes towards the programs because they did not have the knowledge on the interest charged and some were also misinformed that the interest charges were high.

Zhao and Zhang (2012) disagreed with the above findings where they state that most of the microfinance practitioners have long argued out that they charge high interest rates simply because it is unavoidable because the cost of making each loan cannot be reduced below a certain level while still allowing the lender cover costs such as offices and staff salaries. However, global average interest rates for microfinance loans are still well above 30% and the answer to providing microfinance services to women who participated in their programs at an affordable cost may lie in rethinking one of the fundamentals assumptions underlining microfinance that micro finance borrowers need extensive monitoring and interaction with the loan officers in order to benefit from and repay they loans.

However, Otero and Rhyne (2005) agreed with the above findings indicating that micro financed community based programs are important because poor people need such alternatives in order to turn their savings into large lump sums to receive large sums and pay monthly with low interest rates unlike banks and other money lending institutions have high interest rates and simply wont extent loans to poor people.

4.4 Regression analysis

The study computed the regression model with an aim of establishing the relationship between the dependent and independent variables of the study

Table 4.5 Regression Model

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.241a

.558

.009

.61275

a. Predictors: (Constant), Amount of Savings, Interest rate charged, Social Cultural and Demographic

ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

1.344

3

.448

1.193

.000a

Residual

21.777

58

.375

Total

23.121

61

a. Predictors: (Constant), Amount of Savings, Interest rate charged, Social Cultural and Demographic

b. Dependent Variable: Women Participation in Microfinance

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

2.040

.818

2.495

.015

Social Cultural and Demographic

.103

.159

.413

.645

.002

Interest rate charged

.260

.152

.219

.713

.000

Amount of Savings

-.011

.116

-.012.

.095

.094

a. Dependent Variable: Women Participation in Microfinance

The model summary from the regression model indicated that about 55.8% of the data could be accounted for in the regression while the ANOVA indicated a significant relation (p= 0.000) to imply that the data that had been employed in the regression model had not been computed by chance. From the coefficients, the study was able to illustrate the women participation as indicated in the equation below

Women participation = 2.040 + 0.413 (Social Cultural and Demographic) + 0.219 (Interest rate charged) – 0.012 (Amount of Savings) + 0.818 (error rate)

From the equation it is therefore clear that the social cultural and the demographic factors affect women participation in micro-finance the most followed by the interest rate charged while the amount of savings had a negative effect on women participation. This basically implied that women will most likely engage in community based microfinance projects based on their social demographic characteristics and information they have about the interest rates charged by the microfinance programs. However also their amount of savings will least likely influence their decision to participate in women microfinance programs.

4.4.1 Hypothesis Testing

The study employed hypothesis testing in the regression analysis to ascertain the significant factors that could influence women participation in community based microfinance programs and the results were as presented;

HO1 Socio-cultural and demographic factors has no significant effect on women participation in community based microfinance programs.

Results: REJECT HYPOTHESIS (β = .645, P = 0.002)

The study rejected this hypothesis because the study findings indicated that there was a significant relationship between the Socio-cultural and demographic factors and the women participation in community based microfinance programs.

This findings concurred with (Kalesho, 2011) study which noted that women from various backgrounds are likely to engage in a number of microfinance programs in an effort to promote their economic well being. This is all in pursuit of economic freedoms that are meant to improve their living standards.

HO2 Satisfaction of interest charges has no significant effect on women participation in community based microfinance programs.

Results: REJECT HYPOTHESIS (β = .713, P = 0.000)

The study rejected this hypothesis because the study findings indicated that there was a significant relationship between the interest rates charged and women participation in microfinance programs. This can be interpreted to mean that women will only engage in community based programs when they find the interest rates being charged by the SACCOs to be favorable enough. This is because most women view the SACCOs as enterprises to help them raise capital required to fund their business enterprises. These findings conform to Kalel, (2013) findings that noted that women will move from one micro finance to another and settle on one that has the most attractive interest rates.

HO3 Amount of savings has no significant effect on women participation in community based microfinance programs.

Results: ACCEPT HYPOTHESIS (β = .095, P = 0.094).

The study accepted this hypothesis because the study findings indicated that there was no significant relationship between the amount of savings and women participation in microfinance programs. This was interpreted mean that women will go looking for funding irrespective of how much they have saved and will make efforts to save after they have already joined the microfinance programs. This according to Keshi, (2010) is true considering most women who join the women groups are usually in search of financial support and hence will not have much savings with them.

CHAPTER FIVE

SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS

5.0 Overview

This chapter aims to present a summary of the findings on the factors that influence women participation in community based microfinance in catholic diocese of Eldoret. The chapter will also review conclusion to the study, recommendations to the study and suggestions for further studies based on the objectives of the study.

5.1 Summary of Findings

On the background information of the respondents the research identified that the respondents were distributed across all ages which meant that the researcher was able to collect different views about the specific research questions from the different age groups and the distribution on the years of the respondents within Catholic Diocese indicated a fair distribution. The findings indicated that varied responses could be collected from the respondents considering that those who had little years at the church and those who had stayed for many years within the church participated in the study. This indicates the majority of the respondents have a secondary level of education with a sizeable amount with primary level of education. This forms a good population who is educated and therefore is in better position to answer questions and give a technical opinion on the subject of the study. The findings indicated that varied responses could be collected from the respondents considering that those who married, single or separated participated in the study.

Findings with respect to the effects of socio-cultural and demographic as factors influencing women participation in community based micro finance programs showed that majority (87%) of the respondents were of the opinion that their age and education have made them realize that it is important to participate in community based microfinance programs (Mean=4.35). the findings also showed that a significant number agreed that they have too many family obligations to participate in community based micro-finances. It was also clear that the respondents accepted that the norms and values of my culture does not allow me to participate in community based microfinance programs and that their spousal income and family situation demands them engage in activities such as to participate in community based microfinance programs.

The findings were interpreted to mean that age and education are key features in determining women’s participation in microfinance based programs. This could be because of the experience and knowledge associated with age and education. This provides women with the relevant knowledge that they require to understand the importance of participating in microfinance based programs with an intention of bettering their living standard in the society.

The second objective was to assess the effects of the amount of savings as a factor influencing women participation in community based micro finance programs and from the above findings, it was clear that majority (82.2%) were of the opinion that they have joined microfinance program to start saving (Mean=4.11). The findings also showed that a significant number were of the opinion that the amount of saving within the bank does not allow them to participate in community based microfinance programs and that the little savings they have within the bank has enabled me to participate in community based microfinance program. It was also clear that their savings are mostly used for household needs hence cannot enable them to participate in community based microfinance program and that the desire to grow their savings through intervals has necessitated them to join a micro finance basses system.

The findings were interpreted to mean that the amount of savings have a significant effect on the women participation in micro financed based programs. The findings revealed that there was a reason why the women and men joined the program and there motive was to start saving as indicated by the majority of the respondents. This is due to the fact that some of the people did not acquire enough knowledge on the importance of micro finance based program which will enable them to start savings for future investments.

Finally, the third objective was to establish the effects of the satisfaction of interest charges as a factor influencing women participation in community based micro finance programs and according to the findings, it was also clear that majority (91%) of the respondents were of the opinion that the interest rates payable to the institution are affordable to all women hence high participation in community based microfinance programs (Mean=4.55). the findings also showed that a significant number agreed that the interest rates are more stable in the microfinance program hence more participation in community based microfinance programs. It was also established that the interest charges are too high for me to participate in community based microfinance programs and that interest rates can only go down after you take a loan hence no worry of repaying more hence more participation in community based microfinance programs. It was also established that microfinance based organizations interest rate are regulated by a policy document that defines exactly how much interest should be charged clearly hence more participation in community based microfinance programs.

5.2 Conclusions

The findings of the study serve as a basis for making the following conclusions; role of women in societies especially their participation in community based micro finance programs has generated a lot of controversy, with one side of the debate arguing against increased women participation in all spheres of development activities on biological and cultural basis, whilst the other side have argued that a woman’s status in society depends crucially on her participation in economic and social activities and that the biology of sex does not confine the woman to the home.

On the issue of effects of socio-cultural and demographic as factors influencing women participation in community based micro finance programs, it was established that their age and education have made them realize that it is important to participate in community based microfinance programs. It was also clear that a significant number agreed that they have too many family obligations to participate in community based micro-finances. It was also clear that the respondents accepted that the norms and values of my culture does not allow me to participate in community based microfinance programs and that their spousal income and family situation demands them engage in activities such as to participate in community based microfinance programs.

The second objective was to assess the effects of the amount of savings as a factor influencing women participation in community based micro finance programs and from the above findings, it was clear that women have joined microfinance program to start saving. The findings also showed that a significant number were of the opinion that the amount of saving within the bank does not allow them to participate in community based microfinance programs and that the little savings they have within the bank has enabled me to participate in community based microfinance program. It was also clear that their savings are mostly used for household needs hence cannot enable them to participate in community based microfinance program and that the desire to grow their savings through intervals has necessitated them to join a micro finance basses system.

Finally, on the issue of the effects of the satisfaction of interest charges as a factor influencing women participation in community based micro finance programs and according to the findings, it was also clear that the interest rates payable to the institution are affordable to all women hence high participation in community based microfinance programs. It was also established that a significant number agreed that the interest rates are more stable in the microfinance program hence more participation in community based microfinance programs. It was also clear that the interest charges are too high for me to participate in community based microfinance programs and that interest rates can only go down after you take a loan hence no worry of repaying more hence more participation in community based microfinance programs. It was also established that microfinance based organizations interest rate are regulated by a policy document that defines exactly how much interest should be charged clearly hence more participation in community based microfinance programs.

5.3 Recommendations

5.3.1 Recommendations for Policy and Best Practice in Catholic Diocese of Eldoret

Based on the findings of the study, the following recommendations are made;

The study recommends effective training and creation of awareness on the need for participation in micro finance programs by women with an aim of raising literacy levels of the women with an aim of increasing the participation level

The management and other stakeholders in the microfinance and Catholic church should ensure that resource allocation is part of planning process to ensure that there is continuous women participation in community based microfinance programs in the county.

It is recommended that the church should ensure that factors such as culture which hinder women participation should be dealt with accordingly and select the best methods of women participation the can positively influence community based micro finance programs.

5.3.2 Recommendations for Further Studies

From the findings, further study is recommended on the effectiveness of community based micro finance programs on economic development, the effects of socio-cultural factors on women participation on community based microfinance programs and the role of microfinance programs on women access to credit policies.

REFERENCES

Adams, D. and von Pischke, J. (1992). ‘Microenterprise credit programs: ‘deja vu’, World Development 20, 1463-1470

Albee A. (1994). Support to Women’s Productive and Income-Generating Activities. Evaluation and Research Working Paper Series, Number 1.

Anielski,M. (2006). An assessment of Sweden’s No-Interest Bank, October 2006, Prepared for Vancity Capital Corporation, Canada.

Ardener, S. and Burman, S. (1995). Money-go-Rounds: the Importance of Rotating Savings and Credit Associations for Women, Oxford: Berg

Barnes, C. (1996). Assets and the Impact of Microenterprise Finance Programs, Washington DC: Management Systems International

Batra V. (2012). Factors Determining Women Self Help Group Members and their Patterns: A Field Experience in Rural Haryana. Economic Affairs. 57: 107-118.

Beuningen, C. (1997). ‘Outline for Impact Assessment in the Credit Line’, mimeo, Washington DC: Consultative Group to Assist the Poorest (CGAP).

Bhardwaj R., and Gebrehiwot, K. (2012). Microfinance and Women Empowerment: An impact study of Self Help Groups (SHGs) - An empirical study in the rural India with special reference to the state of Uttarakhand. In: Proceedings of 9th AIMS International Conference on Management, 1 st – 4th January, 2012

Bouman, F. and Hospes, O.(1994). Financial Landscapes Reconstructed, Boulder: Westview

Buckley, G. (1997). ‘Microfinance in Africa: is it either the problem or the solution?’, World Development 25(7), 1081-1094.

Burton M. (2008). Unraveling debt: The economy, banking and the case of JAK ( MSc Dissertation, Schumacher College, Southwest England. August 2008.

Casely, D. and Lury, D. (2012). Monitoring and Evaluation of Agricultural and Rural Development Projects, Baltimore: Johns Hopkins University Press

Chao-Beroff, R. (1997). ‘Impact Assessment Seen From an NGO Practitioner’s Scope’, mimeo. Washington DC: Consultative Group to Assist the Poorest (CGAP).

Chen, M. and Dunn, E. (1996). Household Economic Portfolios, Washington DC: Management

Chu M. (2007). Commercial Returns at the Base of the Pyramid, New Delhi.

Chu, M. (2013). “Microfinance: The next Ten Years in Microbanking: Creating Opportunities for the Poor Through Innovation, ed. Pakpahan, E.M Lokollo &Wijaya K. (Jakarta.PT. Bank BRI)

Cooper T. and Schindler, J. (2000). Doing Your Research Project, Buckingham: Open University Press.

Creswell, J.W. (2009). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Upper Saddle River, NJ: Pearson

Devereux, S. and Hoddinott, M. (1993). Field Research in Developing Countries, London: Harvester Wheatsheaf

Dichter, T. & Harper, M. (2007). What’s Wrong with Microfinance? London: Practical Action Publishers.

Dunn, E, Kalaitzandonakes, N and Valdivia, C. (1996). Risk and the Impacts of Microenterprise Services, Washington DC: Management Systems International

Dunn, E. (1996). Households, Microenterprises and Debt, Washington DC: Management Systems International

Fairbourne J., Gibson S.W. & Dyer W.G. (2007). Micro-franchising. Creating wealth at the Bottom of the Pyramid.

Federation of Women Lawyers Kenya (FIDA Kenya) 2009; Women Enterprise and Development Fund.An appraisal.

Feinstein, O. (1997). ‘A Transaction Costs Approach for Microfinance Project Assessment’, mimeo, Washington DC: Consultative Group to Assist the Poorest (CGAP).

Feroze S M, Chauhan A K, Malhotra R and Kadian K S (2011). Factors influencing group repayment performance in Haryana: Application of Tobit model. Agricultural Economics Research Review. 24: 57-65

The World Bank Working Paper (2004). Financial Sector Policy and the Poor. Selected Findings and issues. Washington, DC. 2004.

Gaile, G. (1997). Highlights and Recommendations from the Microenterprise Impact Virtual Meeting, Washington DC: Management Systems International

Gaile, G. and Foster, J. (1996). Review of Methodological Approaches to the Study of the Impact of Microenterprise Credit Programs, Washington DC: Management Systems International

Goetz, A. and Sen Gupta, R. (1996). ‘Who Takes the Credit? Gender, Power and Control Over Loan Use in Rural Credit Programs in Bangladesh’, World Development 24(1), 45-64

Hashemi, S., Schuler, S. and Riley, A. (1996). ‘Rural Credit Programs and Women’s Empowerment in Bangladesh’, World Development 24(4), 635-654

Holcombe, S. (1995). Managing to Empower: the Gramean Bank’s Experience of Poverty Alleviation, London: Zed Press

Hossain, M. (2008). Credit for Alleviation of Rural Poverty: the Grameen Bank in Bangladesh, Washington DC: IFPRI

Hulme, D. and Mosley, P. (1996). Finance Against Poverty, 1 and 2, London: Routledge

Hyman, E. and Dearden, K. (1996). A Review of Impact Information Systems of NGO Microenterprise Programs, Washington DC: Management Systems International

Hyman, E. and Dearden, K. (1998). ‘Comprehensive Impact Assessment systems for NGO microenterprise development programs’, World Development 26(2), 261-276

Inserra, A. (1996). A Review of Approaches for Measurement of Microenterprise and Household Income, Washington DC: Management Systems International

Islam, T. (2007). Microcredit and Poverty Alleviation. London: MacGraw Hill.

Jackson, T. (2009). Prosperity without growth. Economics for Finite Planet.

Jaquette, J. & Summerfield, G. (2012). Women and Gender Equity in Development Theory and Practice. Institutions, Resources and Mobilization

Kangogo, D. & Lagat, J. & Ithinji, G. (2013). "The Influence of Social Capital Dimensions on Household Participation in Micro-Credit Groups and Loan Repayment Performance in Uasin Gishu County, Kenya ," MPRA Paper 48624, University Library of Munich, Germany.

Kennedy, M. (1995). Interest and Inflation Free Money, Okemos, Michigan: Sava International.

Khandker, S. (1996). Fighting Poverty with Microcredit: Experience of the Grameen Bank and Other Programmes in Bangladesh, Washington DC: World Bank

Kindleberger, C. (2002). Manias, Panics and Crashes. A history of Financial Crises (Fourth Edition).

Lewis, M. and Conaty, P. (2009). The Great Transition: Navigating Social Economic, Ecological Change in Turbulent Times.

Little, P. (1997). ‘Assessing the Impact of Microfinance Programs on Incomes and Assets’, mimeo, Washington DC: Consultative Group to Assist the Poorest (CGAP),

Long, N. and Long, A. (1992). Battlefields of Knowledge, London: Routledge

Lutz, M. (1999). Economics for the Common Good. Two centuries of Social Economic thought in the Humanistic tradition. London: Routledge.

Mahadeva, M. (2009). Savings & Development: Understanding Financial Abandoning from A micro Perspective: Policy Responses to Promote Inclusion in India. Quarterly Review, 33 (4).

Martyn-Johns, E. (1996). Participatory Impact Assessment: Putting Theory into Practice, MA Dissertation, IDPM, University of Manchester

Mayoux, L. (1997). ‘Impact Assessment and Women’s Empowerment in Micro-Finance

Miles, M.B., & Huberman, A.M. (2004). Qualitative data analysis. Thousand Oaks, CA: Sage

Montgomery, R, Davies, R., Saxena, C. and Ashley, S. (1996). Guidance Materials for Improved Project Monitoring and Impact Review Systems in India, Swansea: Centre for Development Studies, University College Swansea

Montgomery, R. (1996). ‘Disciplining or protecting the poor? Avoiding the social costs of peer pressure in micro-credit schemes’, Journal of International Development 8(2), 289-305.

Moris, J. and Copestake, J. (1993). Qualitative Enquiry for Rural Development: a Review, London: IT Publications

Mosely, P. and Hulme, D. (1998). ‘Microenterprise Finance: Is There a Conflict Between Growth and Poverty Alleviation?’, World Development, 26(5) 783-790

Moser, C. and Kalton, G. (2002). Survey Methods in Social Investigation, London: Heinemann

Mosley, P. (1997). ‘The Use of Control Groups in Impact Assessment for Microfinance’, mimeo, Washington DC: Consultative Group to Assist the Poorest (CGAP).

Mosse, D. (1994). ‘Authority, gender and knowledge: theoretical reflections on the practice of Participatory Rural Appraisal’, Development and Change 25(3), 497-525.

Moyo, M. (2009). Dead Aid: Why Aid is Not Working and How There is Another Way for Africa, New York: Farrar, Straus and Giroux.

Mugenda A. and Mugenda, O. (1999). Research Method. Nairobi: Government Press.

Mugenda, O. and Mugenda A. (2003). Research Methods Quantitative and Qualitative Approaches. Nairobi: Acts Press.

Mustafa, S. (1996). Beacon of Hope: an Impact Assessment Study of BRAC’s Rural Development Programme, Dhaka: BRAC

New Economics Foundation (1996). A Social Audit Manual for Small Organizations, London, New Economics Foundation

Obure, S. (2002). Kathuri N.J and Pals D.A (1993). Introduction to Educational Research: Egerton University.

Olaoye, O. and Odebiyi, O.C (2012). Economic viability for the use of microfinance bank loan on aquaculture development in Ogun state, Nigeria. International Journal of Fisheries and Aquaculture. 3: 70-77

Orodho, A.J (2003). Essentials of Educational and Social Science Research Method. Masole Publishers.

Otero, M. and Rhyne, E., (2005). The New World of Microenterprise Finance, London: IT Publications.

Palmer, R. (2004). For Credit Come Tomorrow: Financing of Rural Micro Enterprise. Evidence from Nkawie-Kuma Atwina District, Ghana.

Peace, G. and Hulme, D. (1994). ‘Microenterprise and Childrent:What are the Intra-household Impacts of Income-generating Programmes’, Small Enterprise Development 5 (1), 21-29

Polit, A. and Hungler, N. (2007). Questionnaire Design, Interview and Attitude Measurement.

Pulley, R (2009). ‘Making the Poor Creditworthy: a Case Study of the Integrated Rural Development Program in India’, World Bank Discussion Paper 58, Washington DC: World Bank

Remenyi, J. (1991). Where Credit is Due, London: IT Publications

Rogaly, B. (1996). ‘Micro-finance evangelism, ‘destitute women’, and the hard selling of a new anti-poverty formula’, Development in Practice 6(2), 100-112.

Rutherford, S. (1993). ‘Learning to lend: Informal Savings and Credit Schemes in Bangladesh’ SCF Working Paper No. 5, London: Save the Children Fund.

Schmidt, R. (2008). Microfinance, Commercialization, and Ethics. Banking the poor; The World Bank. Measuring, Measuring Access in 54 Economies; 2008.No. 194. September 2008

Schuler, S R and Hashemi, S M (1996). ‘Credit Programs, Women’s Empowerment and Contraceptive Use in Rural Bangladesh’, Studies in Family Planning 25(2), 65-76

Schuler, S R and Hashemi, S M and Riley, A P (1997). ‘The influence of women’s changing roles and status in Bangladesh’s fertility transition: evidence from a study of credit programs and contraceptive use’, World Development 25(4), 563-576

Schumacher, E.F. (2003). Small is Beautiful: A study of Economics as if People Matter, London: Blond and Briggs.

Sebstad, J, Neill, C, Barnes, C and Chen, G (1995). Assessing the Impacts of Microenterprise Interventions: A Framework for Analysis, Washington DC: USAID

Sebstad, J. and Chen, G. (1996). Overview of Studies on the Impact of Microenterprise Credit, Washington DC: Management Systems International

Sen, A. (1999). Development of Freedom. Oxford: Oxford University Press.

Simtowe F. (2008). Performance and Impact of Microfinance. Evidence from joint liability lending programs in Malawi

Snodgrass, D (1996). The Economic Policy and Regulatory Environment, Washington DC: Management Systems International

Thillairajah S. (1994). Development of Rural Financial Markets in Sub-Saharan Africa.219 World Bank Discussion Papers.Africa Technical Department Series.

Von Bulow, D. (1996). Financing empowerment or impoverishment? Credit schemes for women in Kilimanjaro, Tanzania. Centre for Development Research. Copenhagen, August 1996.

Wignaraja, P. (1990). Women, Poverty and Access to Credit: Innovative Approaches, Sage, New. Programmes: Issues for a Participatory Action and Learning Approach’, mimeo, Consultative Group to Assist the Poorest (CGAP), Washington DC. Publications

Wiig, A. (1997). ‘Credit Expansion in Microcredit Programmes: Dilemmas and Feasible Methods for Studying Them’, mimeo, Washington DC: Consultative Group to Assist the Poorest (CGAP).

Wood, G and Sharrif, S. (1997). Credit Where Credit is Due, Dhaka and London: UPL and Zed Press.

Yamane, T. (1967). Sample Size Determination: Rethinking theories and Methodology. University Press.

Yaron, J, Benjamin, M and Piprek, G (1997). Rural Finance: Issues, Design and Best Practices, Washington DC: Agriculture and Natural Resources Department, World Bank

Yin .M. (2004). Case study Research Design, Qualitative Research and Evaluation Methods. 3rd edition, London: Sage Publication.

Zadek, S and Gatward, M (1996). ‘Transforming the Transnational NGOs: Social Auditing or Bust?’, in M. Edwards and D. Hulme, Beyond the Magic Bullet: NGO Performance and Accountability in the Post-War World, West Hartford; Kumarian Press and London: Earthscan, 226-240.

Zamperetti F. & Dalla Costa G.F. (2008). Sharing Trust. Women and Microcredit in Eritrea.

Zhao, J. and Zhang, J. (2012). Credit constraint and non-separable behavior of rural households – Evidence from China. In: Proceedings of Agricultural and Applied Economics Association’s 2012 Annual Meeting, 12th-14th August, 2012, Seattle, Washington

APPENDICES

Appendix I: INFORMED CONSENT LETTER

Dear Respondents,

RE: PARTICIPATION IN MY STUDY

I am a student from Moi University pursuing masters degree of Business Administration in School of Business and Economics. I am currently conducting research for my masters degree project on FACTORS THAT INFLUENCE WOMEN PARTICIPATION IN COMMUNITY-BASED MICROFINANCE PROGRAMS: A CASE STUDY OF CATHOLIC DIOCESE OF ELDORET. I kindly request you to participate in my study and your responses to the items in the questionnaire was treated with utmost confidentiality, and will not be used for any other purposes except this study. You are free to withdraw from this study at any time you deem fit. You may also request the researcher to inform you about the findings of this study.

APPENDIX II: QUESTIONNAIRES FOR RESPONDENTS

INSTRUCTIONS

Kindly answer the questions provided by ticking (√) where appropriate

SECTION A: BACKGROUND INFORMATION

Your age

21-30 years ( )

31-40 years ( )

41-50 years ( )

Over 50 years ( )

What is your level of education?

Primary ( )

Secondary ( )

Certificate ( )

Diploma ( )

College ( )

University ( )

Number of years in Catholic Diocese of Eldoret

1-5 Years ( )

6-10 years ( )

11- 15 years ( )

Above 15 years ( )

4. Marital status

Married ( )

Single ( )

Divorced ( )

Separated ( )

SECTION B: GENERAL INFORMATION

To what extent do you agree with the following statements on the effects of socio-cultural and demographic as factors influencing women participation in community based microfinance programs at Catholic Diocese of Eldoret Where 5 means strongly agree, 4 Agree, 3, disagree, 2, strongly disagree and 1 neutral

Statements

5

4

3

2

1

I have too many family obligations to participate in community based micro-finances

The norms and values of my culture does not allow me to participate in community based microfinance programs

My spousal income and family situation demands I engage in activities such as to participate in community based microfinance programs

My age and education have made me realize that it is important to participate in community based microfinance programs

Other Specify

……………………………………………………………………………………………………………………………………………………………………………………………

4(b) How many other women from your community participate in community based microfinance programs?

None ( )

Few ( )

Quite a number ( )

4(c) What can you comment on the women’s effort to free themselves from socio and cultural bonds and participate in community based microfinance programs or activities

________________________________________________________________________________________________________________________________________________________________________________________________________________________

4(d) What have been some of the socio cultural and demographic issues affecting women participation community based microfinance programs

________________________________________________________________________________________________________________________________________________________________________________________________________________________

5(a) Do you have a savings account with a bank?

Yes ( )

No ( )

If no, why not

________________________________________________________________________________________________________________________________________________________________________________________________________________________

If yes, what is your motivation for having the savings?

________________________________________________________________________________________________________________________________________________________________________________________________________________________

5(b) did you start participating in the microfinance before or after you had sufficient savings?

Before ( )

After ( )

5 (c)To what extent do you agree with the following statements on the effects of amount of savings as factor influencing women participation in community based microfinance programs at Catholic Diocese of Eldoret;. Where 5 means strongly agree, 4 Agree, 3, disagree, 2, strongly disagree and 1 neutral

Statements

5

4

3

2

1

The amount of saving within the bank does not allow me to participate in community based microfinance programs

The little savings I have within the bank has enabled me to participate in community based microfinance program

I joined microfinance program to start saving

My savings are mostly used for household needs hence cannot enable me to participate in community based microfinance program

The desire to grow my savings through intervals has necessitated me to join a micro finance basses system

Other Specify

………………………………………………………………………………………………………………………………………………………………………………………………

6(a) Have you ever taken a loan from the bank

Yes ( )

No ( )

If yes what can you comment about the interest rate charged

________________________________________________________________________________________________________________________________________________________________________________________________________________________

To what extent do you agree with the following statements on the effects of satisfaction of interest charges as factor influencing women participation in community based microfinance programs at Catholic Diocese of Eldoret;. Where 5 means strongly agree, 4 Agree, 3, disagree, 2, strongly disagree and 1 neutral

Statements

5

4

3

2

1

Interest rates are more stable in the microfinance program hence more participation in community based microfinance programs

The interest charges are too high for me to participate in community based microfinance programs

The interest rates payable to the institution are affordable to all women hence high participation in community based microfinance programs

Interest rates can only go down after you take a loan hence no worry of repaying more hence more participation in community based microfinance programs

Microfinance based organizations interest rate are regulated by a policy document that defines exactly how much interest should be charged clearly hence more participation in community based microfinance programs

Other Specify

………………………………………………………………………………………………

Socio-cultural and demographic Factors

Participation in community based microfinance