role of micro credit in poverty alleviation
TRANSCRIPT
ROLE OF MICRO CREDIT IN POVERTY ALLEVIATION
By
Amina Mushtaq
A Thesis Submitted in Partial Fulfillment of the Requirements for the
Degree of
Master of Business Administration
at
National University of Modern Languages
Islamabad- Pakistan
2008
Acknowledgement
I gratefully acknowledge the contribution of my parents especially my father Dr.
Mushtaq Ahmad and the residents of Muslim Colony, Dhok Kala Khan, Tehmaspabad
and Shakrial who warmly provided me the opportunity to know about their lives. I am
thankful to my supervisor Madam Fareeha for her constant encouragement and
supervision.
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Executive Summary
The study tries to look at the impact of micro credit on the lives of the poor people. There
are different views on micro credit as a powerful development tool regarding its success
in developing the lives of the poor and some times these views are contradictory.
However poverty is a global issue; it is a problem that even the wealthiest nation is
facing. In this scenario country like Pakistan is facing a great challenge to alleviate or
reduce poverty because poverty is becoming cause of many problems like suicides,
illiteracy, unemployment, diseases like depression, stress etc. In order to control these
diseases first we have to control poverty. At government level and also at international
level many strategies are made every day to control poverty. But now Dr. Younis gave a
formula of micro credit that successfully worked in Bangladesh and is now replicated all
over the world and also in Pakistan so; the purpose of the study was to observe that what
role micro credit plays in Pakistan in poverty alleviation.
The study was conducted in four urban slum areas of Rawal pindi and Islamabad that are
Muslim Colony, Dhok Kala Khan, Tehmaspabad and Shakrial. Those people are targeted
who have taken micro credit so that the comparison of living standard before and after
use of micro credit can be made and hence it can be seen that, if there is any
improvement in their living standard after using micro credit or not. The study was based
on questionnaires which were distributed after translating it into Urdu so that respondents
can easily understand it and fill it accordingly. Sample for this survey was 200 with 50
respondents per area. The dependent variable taken in this study is poverty reduction
where as independent variable is micro credit and moderating variable is political
environment.
Some of the factors that show poverty reduction are Training and education, clean water
and hygienic environment, nutrition and adequate food, accommodation, income and
savings.
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Overall we can say that training and education, clean water and hygienic environment,
nutrition and adequate food, accommodation, income and savings are important factors of
poverty reduction. Because when a person has training and education he can improve his
living standard, if a person has clean drinking water and adequate food he will be healthy
and can earn in a better way for his family, if his accommodation is better and enough for
family members and strong enough for natural disasters he can live in a better way. And
obviously if his earning is good and enough for family he can also provide recreational
activities to his children and can also afford uncertain expenses such as sudden guest etc
and can also do savings for future, then all these things points towards a good life, a life
with a good living standard and a life above poverty line. So; all above mentioned factors
plays an important role in poverty reduction.
From data analysis it is concluded that the micro credit program is effective in giving un
employed people employment such as taxi driver, shop keeper etc and to meet short term
needs such as return debt taken from some one else, paying fee, operation, treatment of
disease etc. Mostly borrowers of Muslim colony, Dhok Kala Khan, Shakrial and
Tehmaspabad have used micro credit to purchase taxi, sewing machine and opening
small shop and improving accommodation.
But micro credit system is not the perfect one; it is not a replacement for jobs that are not
there and skills that do not exist. Important thing is to make them financially stable, to
bring them out of the poverty line and to make them able to sustain their position and
improve living condition instead of returning back to the poverty line. It can be done in
this way that micro credit institutions can make contract with driving centers that can
giving training to those people who don’t know driving on half rate, contracts with
boutiques can be made, contracts with BATA and Unilever can be made. In those areas
where BATA do not have outlet, a person can take micro credit purchase BATA shoes and
can sell them in his area. Similar contract can be made with Unilever.
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TABLE OF CONTENTS
List of tables………………………………………………………………. vOverview of the study……………………………………………………. vi
Chapter 1
Research Objective………………………………………………. 2 Ethical Consideration……………………………………………. 3 Declaration……………………………………………………… 4Motivation for the study…………………………………………. 5Significance of the study………………………………................. 6Purpose of the study……………………………………………… 7Type of investigation…………………………………………….. 8 Extent of researcher interference with the study…………………. 9Study setting……………………………………………………… 9 Unit of analysis…………………………………………………… 10Type of research…………………………………………………. 10Hall marks or eight main distinguishing characteristics of scientific study………………………………………………………………… 11Hypothetico deductive method……………………………………… 14Main definitions………………………………………...................... 16Introduction…………………………………………….................... 23
Chapter 2 Literature Review....................................................... 29
Chapter 3
Survey design................................................................. 56 Selecting Location......................................................... 57 Data Collection Method................................................ 57 Limitations of the study…………………………….... 58 Theoretical Frame work................................................ 59
Problem Statement………………………………….. 59 Variables…………………………………………….. 59
Dependent Variable…………………………. 60Independent Variable…………………………. 60Moderating Variable…………………………… 60
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Transmission mechanism of micro credit to poverty alleviation…………………………………………. 63 Hypothesis Development…………………………… 64
Hypothesis Statements……………………………… 65
Chapter 4 Statistical techniques
Percentage…………………………………………….. 67 Frequency………………………………………………. 67Mean……………………………………………………. 67Standard deviation……………………………………… 68Range………………………………………………….. 68
Data Analysis……………………………………………. 69
Chapter 5
Suggestions for making micro credit more effective in Poverty Reduction………………………………………………………… 123
Chapter 6
Comparison of results with other researcher……………………. 128
Conclusion……………………………………………………… 145
APPENDIX
When is micro credit needed?………………………………… 148Questionnaire…………………………………………………….. 149
REFERENCES……………………………………………………… 156
List of tables
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Socio-demographic characteristics of respondents Pattern of micro credit utilization Associations Socio-economic characteristics of respondents Resource availability of the respondents Loan repayment time FADU’s assistance to farmers after Loan Gender analysis of FADU beneficiaries
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Chapter 1
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This chapter provides the research objective, ethical consideration, declaration,
motivation for the study, significance of the study, purpose of the study, type of
investigation, extent of researcher interference with the study, study setting, unit
of analysis, type of research, hall marks or eight main distinguishing
characteristics of scientific study, hypothetico deductive method ,main definitions
and introduction of the topic.
Research Objective
The main purpose of the study is to understand the success rate, and the social and
economical change created by micro finance among the poor. I found that the
issue may be approached from two different angles. Firstly from the clients’
perspective, that is how the poor people involved with micro credit judge the
impact of it in their lives and what their understanding of development gained by
it is. It can also be approached from the perspectives of the organizations working
with micro credit, how they see the impact of micro credit on these people’s lives
and how they look at their achievement.
My objective here is to understand the situation of the client’s perspective, how
they perceive micro credit and how micro credit is changing their lives. With this
I also tried to observe the outreach, success and sustainability of micro credit
program for the poor. I put my emphasis on this approach to know the situation
from the perspective of the poor people because I think the solution should come
from those people whose lives are to be changed. They are the one who can and
should show how they want to change their lives and what problems should be
solved in order to achieve development.
9
Ethical consideration
The study was conducted by following the ethical principles of research.
Name and identity of individuals has been concealed .All the comments and
opinion expressed during the survey is quoted with permission.
10
Declaration
I declare that “Role of micro credit in poverty alleviation” is my own work and all
resources I have used have been indicated and acknowledged with complete
references.
11
Motivation for the study
Inequality is increasing around the world while the world appears to come closer
due to phenomenon of globalization. Even the wealthiest nation has the largest
gap between rich and poor. In such scenario countries like Pakistan is facing a
great challenge in the form of poverty because by the time gap between rich and
poor is increasing day by day. Majority of population of Pakistan is living at
poverty line or below poverty line. According to a survey about five million
households in the country are living below poverty line.
This poverty is also becoming cause of many problems that are prevailing in our
society such as crimes, suicides, illiteracy, unemployment and diseases like
depression, anxiety, stress and many more.
In order to control these problems, first poverty should be controlled. At
government level, many strategies are made every day, world bank and
International monetary fund is also working for this purpose but now Dr. Younis
gave such a wonderful idea to alleviate poverty that really works in Bangladesh,
and is now working all over the world i-e Micro Credit.
So; I decided to study what is the Role of Micro Credit in Poverty Alleviation.
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Significance of the study
Study results would be useful
In policy formulation and decision making in respect of government micro credit.
To Government departments implementing micro credit programs.
Contribute to existing body of literature and form a basis for further research.
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Purpose of the study
Studies may be either exploratory in nature or descriptive, or may be conducted to
test hypothesis. Exploratory study is that in which we attempt to explore new
areas of organizational research. Descriptive study is that in which we try to
describe certain characteristics of the phenomenon. Where as this study is
conducted to test hypothesis. Where we examine whether or not the conjectured
relationships have been substantiated and an answer to the research question has
been obtained.
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Type of Investigation
There are three types of investigations
Casual
Correlation
Group references
Casual
Casual way is that in which researcher wants to delineate the cause of one or more
problems.
Correlation
Correlation is that way in which researcher is interested in delineating the
important variables associated with the problem.
This study “Role of micro credit in poverty alleviation” is correlational study.
Group References
This method includes ranks smaller, greater.
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Extent of Researcher interference with the study
The extent of interference by the researcher with the normal flow of work at the
workplace has a direct bearing on whether the study undertaken is casual or
correlational. A correlational study is conducted in the natural environment of the
work place with minimum interference by the researcher with the normal flow of
work. Though there is some disruption to the normal flow of work in the system
as the researcher administers questionnaires at the work place, the researcher’s
interference in the routine functioning of the system is minimal as compared to
that caused during causal studies.
This study is correlational study because my interference in respondents’ routine
life was less as I just asked them to fill questionnaire.
Study setting
Study setting can be contrived and non contrived.
This study is non contrived. When research is conducted in natural environment
where work proceeds normally it is non contrived setting. During this study my
interference was less in respondent’s routine life.
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Unit of analysis
The unit of analysis refers to the level of aggregation of the data collected during
the subsequent data analysis stage. As my problem statement is
What impact micro credit has on poverty alleviation?
So; I required data from those individuals who have experienced or experiencing
micro credit. In this way it can be observed that what impact micro credit has on
their living standard. What was their living standard before utilization of micro
credit and after micro credit?
So; here in this study unit of analysis is Individual.
Type of Research
Research can be undertaken for two different purposes. One is to solve a current
problem, demanding a timely solution. For example, a particular product may not
be selling well and the manager might want to find the reasons for this in order to
take corrective action. Such research is called Applied Research.
The other research that I conducted in this study is Basic research. It is to generate
a body of knowledge by trying to comprehend how certain problems that occur in
organizations can be solved. Later on the knowledge gained by the findings of
basic research can be applied to solve problems.
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Hall marks of scientific study
This study is scientific study as it possess eight hallmarks or eight main
distinguishing characteristics explained below
1) Purposiveness
2) Rigor
3) Testability
4) Replicability
5) Precision and confidence
6) Objectivity
7) Generalizabilty
8) Parsimony
Purposiveness
Purposiveness basically means that study should have definite aim and purpose.
Here in this study purpose is to study the Role of micro credit in poverty
alleviation.
Rigor
Rigor means that the study should have a good theoretical base and a sound
methodological design. This study also has a sound theoretical frame work.
Variables taken in this study are explained below
The dependent variable in this study is Poverty reduction.
Independent variable in this case is Micro Credit.
The moderating variable has a contingent effect on the independent and
dependent variables relationship. In this study environment is a Moderating
Variable.
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Environment is taken in a sense that it covers Political environment, it means
that what are the government strategies to reduce poverty and to improve
living standard of its people. What are the banks policies to reduce poverty,
what is the interest rate? What are the conditions on which bank is lending
loan to people, are conditions acceptable by people, are conditions affordable
by people?
Testability
Collected data is statistically analyzed by using percentage, frequency, range,
mean and standard deviation. Hypothesis formed are then statistically tested to
come to know whether hypothesis is accepted or rejected.
Replicability
Replicability means that research conducted on this topic with these variables
should give same results again and again. In discussion part it is shown that
results of this research is mostly same as research on this topic conducted in other
areas having same variables, similar problems, similar culture and similar
economic position such as Bangladesh and also in other parts of Pakistan such as
in northern areas.
If further research on this topic is conducted within Pakistan having same
variables results would be similar.
Precision and Confidence
Precision refers to the closeness of the findings to "reality" based on a sample. In
other words, precision reflects the degree of accuracy or exactitude of the results
on the basis of the sample.
Confidence refers to the probability that our estimations are correct.
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Objectivity
The conclusion drawn through the interpretation of the results of data analysis is
objective. It is based on the facts of the findings derived from actual data and not
on own subjective or emotional value.
Generalizabilty
The results of this study can be applied in any other area of Pakistan. The
suggestions to make micro credit more effective can be applied not only in
Pakistan but also abroad.
Parsimony
Results of this study are simply explained and there is no ambiguity or confusion
in results. Simple language is used and results are explained clearly.
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Hypothetico-deductive method
Hypothetico-deductive method is used to study the Role of micro credit in poverty
alleviation. This method has seven steps:
1) Observation
2) Preliminary information gathering
3) Theory formulation
4) Hypothesizing
5) Further scientific data collection
6) Data analysis
7) Deduction
Observation
Observation is the first step in which researcher observes the problem or issue. I
observed the issue of Role of micro credit in poverty alleviation.
Preliminary information gathering
I used questionnaire to gather data from those people who have experienced micro
credit or are experiencing micro credit and questions regarding their living
standard before and after micro credit is asked so that an effective comparison can
be made of their living standard before and after use of micro credit.
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Theory formulation
Theoretical frame work is then formulated in which dependent, independent and
moderating variables are taken.
Hypothesizing
From the theorized network of associations among the variables certain
hypothesis are formulated.
Further scientific data collection
In order to analyze Role of micro credit in poverty alleviation data of customers
using micro credit is required but not only after use of micro credit, data before
use of micro credit is also needed for making comparison.
Data analysis
Collected data is then analyzed using Statistical Package for Social Sciences
(SPSS) and graphs are made on MS EXCEL.
Statistical tools are applied using percentage, frequency, mean, range and
standard deviation.
Deduction
Deduction is the process of arriving at conclusion by interpreting the meaning of
the results of the data analysis.
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Main definitions
Microfinance
Microfinance, according to Otero (1999, p.8) is “the provision of financial services to
low income poor and very poor self-employed people”. These financial services
according to Ledgerwood (1999) generally include savings and credit but can also
include other financial services such as insurance and payment services. Schreiner
and Colombet (2001, p.339) define microfinance as “the attempt to improve access to
small deposits and small loans for poor households neglected by banks.” Therefore,
microfinance involves the provision of financial services such as savings, loans and
insurance to poor people living in both urban and rural settings who are unable to
obtain such services from the formal financial sector.
Micro finance and micro credit
In the literature, the terms micro credit and microfinance are often used
interchangeably, but it is important to highlight the difference between them because
both terms are often confused. Sinha (1998, p.2) states “micro credit refers to small
loans, whereas microfinance is appropriate where NGOs and MFIs supplement the
loans with other financial services (savings, insurance, etc)”. Therefore micro credit is
a component of microfinance in that it involves providing credit to the poor, but
Micro finance also involves additional non-credit financial services such as savings,
insurance, pensions and payment services (Okio credit, 2005).
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The History of Microfinance
Micro credit and microfinance are relatively new terms in the field of development,
first coming to prominence in the 1970s, according to Robinson (2001) and Otero
(1999). Prior to then, from the 1950s through to the 1970s, the provision of financial
services by donors or governments was mainly in the form of subsidized rural credit
programs. These often resulted in high loan defaults, high lose and an inability to
reach poor rural households (Robinson, 2001).
Robinson states that the 1980s represented a turning point in the history of
microfinance in that MFIs such as Grameen Bank began to show that they can
provide small loans and savings services profitably on a large scale. They received no
continuing subsidies, were commercially funded and fully sustainable, and could
attain wide outreach to clients (Robinson, 2001). It was also at this time that the term
“micro credit” came to prominence in development (MIX3, 2005). The difference
between micro credit and the subsidized rural credit programs of the 1950s and 1960s
was that micro credit insisted on repayment, on charging interest rates that covered
the cost of credit delivery and by focusing on clients who were dependent on the
informal sector for credit (ibid.). It was now clear for the first time that micro credit
could provide large-scale outreach profitably.
The 1990s “saw accelerated growth in the number of microfinance institutions
created and an increased emphasis on reaching scale” (Robinson, 2001, p.54). Dichter
(1999, p.12) refers to the 1990s as “the microfinance decade”. Microfinance had now
turned into an industry according to Robinson (2001). Along with the growth in micro
credit institutions, attention changed from just the provision of credit to the poor
(micro credit), to the provision of other financial services such as savings and
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pensions (microfinance) when it became clear that the poor had a demand for these
other services (MIX, 2005).
The importance of microfinance in the field of development was reinforced with the
launch of the Micro credit Summit in 1997. The Summit aims to reach 175 million of
the world’s poorest families, especially the women of those families, with credit for
the self-employed and other financial and business services, by the end of 2015
(Micro credit Summit, 2005). More recently, the UN, as previously stated, declared
2005 as the International Year of Micro credit.
Poverty
Poverty (also called penury) is deprivation of those things that determine the quality
of life, including food, clothing, shelter and safe drinking water, but also "intangibles"
such as the opportunity to learn and to enjoy the respect of fellow citizens. Ongoing
debates over causes, effects and best ways to measure poverty, directly influence the
design and implementation of poverty reduction programs and are therefore relevant
to the fields of international development and public administration.
Poverty as a social problem is a deeply embedded wound that permeates every
dimension of culture and society. It includes sustained low levels of income for
members of a community. It includes a lack of access to services like education,
markets, health care, lack of decision making ability, and lack of communal facilities
like water, sanitation, roads, transportation, and communications. Furthermore, it is a
"poverty of spirit," that allows members of that community to believe in and share
despair, hopelessness, apathy, and timidity. Poverty, especially the factors that
contribute to it, is a social problem, and its solution is social.
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Factors, Causes and History of poverty
A "factor" and a "cause" are not quite the same thing. A "cause" can be seen as
something that contributes to the origin of a problem like poverty, while a "factor"
can be seen as something that contributes to its continuation after it already exists.
Poverty on a world scale has many historical causes: slavery, war and conquest.
There is an important difference between those causes and what we call factors that
maintain conditions of poverty. The difference is in terms of what we, today, can do
about them. We can not go back into history and change the past. Poverty exists.
Poverty was caused. What we potentially can do something about are the factors that
perpetuate poverty.
It is well known that many nations of Europe, faced by devastating wars, such as
World Wars I and II, were reduced to bare poverty, where people were reduced to
living on handouts and charity, barely surviving. Within decades they had brought
themselves up in terms of real domestic income, to become thriving and influential
modern nations of prosperous people. We know also that many other nations have
remained among the least developed of the planet, even though billions of dollars of
so-called "aid" money was spent on them. Why? Because the factors of poverty were
not attacked, only the symptoms were attacked .At the macro or national level, a low
GDP (gross domestic product) is not the poverty itself; it is the symptom of poverty,
as a social problem.
The factors of poverty (as a social problem) that are listed here, ignorance, disease,
apathy, dishonesty and dependency, are to be seen simply as conditions. No moral
judgment is intended. They are not good or bad, they just are. If it is the decision of
a group of people, as in a society or in a community, to reduce and remove poverty,
they will have to, without value judgment, observe and identify these factors, and take
action to remove them as the way to eradicate poverty.
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The big five, in turn, contribute to secondary factors such as lack of markets, poor
infrastructure, poor leadership, bad governance, under employment, lack of skills,
absenteeism, lack of capital, and others. Each of these are social problems, each of
them are caused by one or more of the big five, and each of them contribute to the
perpetuation of poverty, and their eradication is necessary for the removal of poverty.
The impact of microfinance on poverty
There is a certain amount of debate about whether impact assessment of microfinance
projects is necessary or not according to Simanowitz (2001b). The argument is that if
the market can provide adequate proxies for impact, showing that clients are happy to
pay for a service, assessments are a waste of resources (ibid.). However, this is too
simplistic a rationale as market proxies mask the range of client responses and
benefits to the MFI (ibid.) Therefore, impact assessment of microfinance
interventions is necessary, not just to demonstrate to donors that their interventions
are having a positive impact, but to allow for learning within MFIs so that they can
improve their services and the impact of their projects (Simanowitz, 2001b, p.11).
Poverty is more than just a lack of income. Wright (1999) highlights the shortcomings
of focusing solely significant difference between increasing income and reducing
poverty (1999). He argues that by increasing the income of the poor, MFIs are not
necessarily reducing poverty. It depend what the poor do with this money, oftentimes
it is gambled away or spent on alcohol (1999), so focusing solely on increasing
incomes is not enough. The focus needs to be on helping the poor to “sustain a
specified level of well-being” (Wright, 1999, p.40) by offering them a variety of
financial services tailored to their needs so that their net wealth and income security
can be improved.
Dichter (1999, p.26) states that microfinance is a tool for poverty reduction and while
arguing that the record of MFIs in microfinance is “generally well below expectation”
he does concede that some positive impacts do take place. From a study of a number
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of MFIs he states that findings show that consumption smoothing effects, signs of
redistribution of wealth and influence within the household are the most common
impact of MFI programs (ibid.).
Hulme and Mosley (1996, p.109) in a comprehensive study on the use of
microfinance to combat poverty, argue that well designed programs can improve the
incomes of the poor and can move them out of poverty. They state that “there is clear
evidence that the impact of a loan on a borrower’s income is related to the level of
income” as those with higher incomes have a greater range of investment
opportunities and so credit schemes are more likely to benefit the “middle and upper
poor” (1996, pp109-112). However, they also show that when MFIs such as the
Grameen Bank and BRAC provided credit to very poor households, those households
were able to raise their incomes and their assets (1996, p.118).
Mayoux (2001, p.52) states that while microfinance has much potential the main
effects on poverty have been:
Credit making a significant contribution to increasing incomes of the better
off poor, including women
Micro finance services contributing to the smoothing out of peaks and troughs
in income and expenditure thereby enabling the poor to cope with
unpredictable shocks and emergencies.
Hulme and Mosley (1996) show that when loans are associated with an increase in
assets, when borrowers are encouraged to invest in low risk income generating
activities and when the very poor are encouraged to save; the vulnerability of the very
poor is reduced and their poverty situation improves. Johnson and Rogaly (1997, p.12)
also refer to examples whereby savings and credit schemes were able to meet the
needs of the very poor. They state that microfinance specialists are beginning to view
improvements in economic security, rather than income promotion, as the first step in
poverty reduction (ibid.) as this reduces beneficiaries’ overall vulnerability.
Therefore, while much debate remains about the impact of microfinance projects on
poverty, we have seen that when MFIs understand the needs of the poor and try to
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meet these needs, projects can have a positive impact on reducing the vulnerability,
not just of the poor, but also of the poorest in society.
Introduction
Micro credit Programs extend small loans to very poor people for self
employment projects that generate income for their survival, allowing them to
care for themselves and their families. Developed over the past twenty years,
micro credit is now considered as one of the most effective tools that we used to
fight poverty. It is not charity, but investment, and to understand it we need to
look at poverty in the world today.1
Poverty is a global issue. Despite changes in development paradigms in the last
half of the 20th century, the promise to bring wellbeing to all human being
remained unfulfilled. As it stands, more than 100 million children of primary
school age have never stepped inside a class room, about 29000 children die each
day from largely preventable malnutrition and disease and more than 1.2 billion
people in the world are struggling to survive at the margin of human existence
“on under a dollar a day”. Poverty is the problem for all the countries irrespective
of their level of development. It can be observed in many forms. It has both
income and non income dimensions. It may be a lack of income or resources, a
lack of coping capacity, a lack of basic human capabilities, a lack of institutional
defenses or in extreme cases a lack of all of these. In a wider sense, it may be a
combination of economic, social and political deprivations. 2
1
1Quoted from ASSESSMENT OF THE ROLE OF MICROCREDIT IN THE DEVELOPMENT OF SOCIAL CAPITAL, A Field Study about Micro-
credit Program Clients in Bangladesh.
2 Quoted from Micro credit and poverty Reduction H.I Latifee Grameen Trust
29
In consideration of poverty line, people in each country can broadly be divided
into two categories namely poor and non poor. The non poor are living above and
the poor are living below the poverty line. The poor may be divided into destitute
(Bottom 10 percent below the poverty line), extreme poor (those in the bottom 10
to 50 percentile of households below the poverty line), and moderate poor (those
top 50 percent of households living below the poverty line are moderate poor). A
further category of vulnerable non poor may also be recognized who may slip into
category of poor anytime.3
The tool that is being used today in order to alleviate poverty is micro finance.
The main purpose of microfinance is to break the vicious circle of ‘low income
low investment-low profit’ by inserting capital from outside into the economic
life of poor people. According to Adam Smith “Money, says the proverb, makes
money. When you have got a little, it is often easy to get more and the great
difficulty is to get the little” (Adam Smith, 1937: 93).4
Microfinance provides “the little” money where even there is total absence of
capital or profit as living is based on subsistence only. Thus microfinance seeks to
improve the condition of the poor by raising income and profit, thereby making
people free from poverty and improving living standard.5
2
2 3 Quoted from Micro-credit and Poverty Reduction H. I. Latifee Grameen Trust
4 Quoted from A Social And Financial Assessment of Micro Finance for the extreme poor, A case study from Bangladesh
5 Quoted from A Social And Financial Assessment of Micro Finance for the extreme poor, A case study from Bangladesh
30
Its key feature is bringing the bank (money/capital) to the poor where traditional
banking system does the opposite and involves a lot of bureaucratic complications
and hidden costs like travel cost and sometimes bribing the bank officials. Local
moneylenders charge a very high 10 to 20 percent per month, depending on the
seasonal condition and region.6
First started as an experimental project by Dr. Muhammad Yunus in a village
named Jobra, near Chittagong University (where he was a professor of
economics), in the late 1970s, the idea now grown all over the world. The micro
credit program was first initiated in 1976 with the promise of providing credit to
poor people without collateral, alleviating poverty and unleashing human
creativity and endeavor of poor people. Professor Yunus wanted to see poverty in
the museum in future. In his speech at the micro-credit summit in Washington
D.C. in 1997, he compared his dream to eradicate poverty completely from this
world with the dream of people to fly 100 years ago. He mentioned that Wright
brothers in 1903, in their first successful attempt, could stay in the air only 12
seconds and fly only 120 feet. But, only after 65 years of the first successful
attempt of Wright brothers, people in this world are able to go to moon and can
also successfully able to come back in this world. Professor Yunus compared his
dream, complete eradication of poverty from this world, with the Wright brothers’
attempt to fly and the following success in flying and aviation. He mentioned that
he would also be able to go to his moon, Poverty free world, in 55 years time
through the micro credit program [Yunus, (1997)4].7
3
3 A SOCIAL AND FINANCIAL ASSESSMENT OF MICROFINANCE FOR THE EXTREME POOR- A CASE STUDY FROM
BANGLADESH
7 A SOCIAL AND FINANCIAL ASSESSMENT OF MICROFINANCE FOR THE EXTREME POOR- A CASE STUDY FROM
BANGLADESH
31
In current overview it has been able to gain huge popularity, both in number of
clients and organizations using microfinance, and in rate of loan return.
Where the traditional banks did not considered the poor as loan worthy because of
the uncertainty of their returning ability, Grameen Bank (the largest micro credit
organization of Bangladesh and joint winner of the Nobel Peace Prize) has
claimed around 99% returning rate. It is interesting to note that the main
borrowers of this money are women and this is a policy decided by the Bank.
Women are regarded as more trustworthy and able to deal with money more
skillfully than men and this in turn has lead to their empowerment. The high rates
of loan return have helped microfinance organizations like the Grameen Bank to
become self-reliant (not depending on the donors any more) and bring a lot of
people out from the national poverty level (Yunus, Nobel Lecture, 2006).8
In Pakistan poverty has many dimensions. The poor in Pakistan have not only low
income but they also lack access to basic needs such as education, health, clean
drinking water and proper sanitation. The latter undermines and limits their
capabilities, limits their opportunities to secure employment, results in their social
exclusion and exposes them to exogenous shocks. Then the vicious cycle of
poverty is accentuated when government structures exclude the most vulnerable
from the decision making process.9
8 A SOCIAL AND FINANCIAL ASSESSMENT OF MICROFINANCE FOR THE EXTREME POOR- A CASE STUDY FROM BANGLADESH
9 POVERTY ALLEVIATION THROUGH MICRO-CREDIT Zahid Shahab Ahmed (Pakistan)
32
In an era where poverty and unemployment have been growing, globally and in
Pakistan in particular, perhaps due to the policies and programs, which
collectively define globalization, public and non-governmental processes have set
upon themselves the task of reducing poverty and enhancing employment and the
quality of life of the poor.10
Currently in Pakistan, a variety of institutions ranging from NGOs to private and
government sponsored rural support programs are delivering microfinance
services to the poor. Two Commercial banks i.e. First Women Bank and Bank of
Khyber are also providing lines of credit for the microfinance sector.11
In Pakistan, the poor usually acquire loans from informal sources. Lack of income
and resources force them to take loans to meet basic necessities of life and the
hurdle of collateral leave them at the mercy of the informal avenues.12
It is recognized that people living in poverty are innately capable of working their
way out of poverty with dignity, and can demonstrate creative potentials to
improve their situation when an enabling environment and the right opportunity
exists. It has been noted that in many countries of the world, micro-credit
Programs, provide access to small capitals to people living in poverty (Ahmed,
2000).13
4
410 POVERTY ALLEVIATION THROUGH MICRO-CREDIT Zahid Shahab Ahmed (Pakistan)
11 Role of Micro credit in Poverty Alleviation First Quarterly Report for FY05
12 Role of micro credit in poverty alleviation first quarterly report for FY05
13 POVERTY ALLEVIATION THROUGH MICRO-CREDIT Zahid Shahab Ahmed (Pakistan)
33
Chapter 2
This chapter provides an overview of the theoretical background that provides the
premise of the study. Concepts of poverty, micro credit, objectives of micro credit
and impact of micro credit are discussed.
34
Literature Review
In Pakistan poverty has many dimensions. The poor in Pakistan have not only low
income but they also lack access to basic needs such as education, health, clean
drinking water and proper sanitation. The latter undermines and limits their
capabilities and their opportunities to secure employment, results in their social
exclusion and exposes them to exogenous shocks. Then the vicious cycle of
poverty is accentuated when government structures exclude the most vulnerable
from the decision making process. Poverty in Pakistan was reported at 31.8%,
which comprises of 22.39% urban and 38.65% rural population in the country,
which is based on average calories intake of 2350 calories per adult per day that
was equal to Rs. 670 per month in 1998-99, and in 2000-01 moved up to Rs. 748
per month (Economic Survey 2002-03).
The phenomenon of poverty was felt and observed more during the decade of
1990s, as the overall growth slowed down. While the slowed economic growth
contributed to poverty, the “trickle down effect” once thought to improve living
conditions, did not reach the lowest level owing largely to lack of accessibility of
institutions, unjust and non-poor policies (Waheed, 2001).
In an era where poverty and unemployment have been growing, globally and in
Pakistan in particular, perhaps due to the policies and programs, which
collectively define globalization, public and non-governmental processes have set
upon themselves the task of reducing poverty and enhancing employment and the
quality of life of the poor (Zaidi, 2003).
Micro credit is defined as a credit provided to ‘poor’ free of collateral (the only
collateral is the “peer” collateral) through institutionalized mechanism. This credit
35
is made available ‘as and when’ needed, at the doorstep of the client (Bajwa,
2001).
The major objectives of micro credit schemes are: (1) to stop exploitation of the
poor caused by expensive informal credit; (2) to provide small loans to poor
people at relatively lower cost as compared to accessible informal loans; (3) to
finance economically and socially viable projects those cannot be financed
otherwise; (4) to empower women within households as decision makers and in
society through active economic participation; (5) to create maximum
employment opportunities; (6) to create self sufficient and self-employed people
and the most importantly; and (7) to reduce poverty, accelerate growth and
improve the living standards on sustainable basis. (First Quarterly Report for
FY05 on Role of micro credit in poverty alleviation)
Poverty has many faces, changing from place to place and across time, and has
been described in many ways. Most often, poverty is a situation, people want to
escape. So poverty is a call to action for the poor and the wealthy alike a call to
change the world so that many more may have enough to eat, adequate shelter,
access to education and health, protection from violence, and a voice in what
happens in their communities. Poverty amid plenty is the world’s greatest
challenge. And it has been recognized that successful development requires a
comprehensive, multifaceted, and properly integrated mandate. The study accepts
the now established view of poverty as encompassing not only low income and
consumption but also low achievement in social (education, health, nutrition),
political (voice, empowerment), and other sectors of human development.
(Faheem Jehangir Khan)
The impact of micro credit on poverty alleviation is so far found to be
controversial in the literature. Several studies have found that micro credit
36
program has a positive impact on eradicating poverty (Hossain, 1988; Khandker,
1998; Wahid, 1993; Yaron, 1994)
Khandker (2000) considers savings as an indicator and finds that this factor has an
influence on eradicating poverty. He argues that credit programs do stimulate
savings because micro credit borrowers make mandatory savings every week,
which they are entitled to withdraw at the end of their membership. In addition, he
finds micro credit program has a positive impact in generating not only voluntary
savings but also additional savings among the borrowers. Apart from savings, it
can be argued that there are other factors that may contribute towards eradication
of such poverty. For example, income and accumulation of assets of the
household may be considered as additional causal factors. It is likely that with the
introduction of micro credit programs, borrowers may have better income, better
savings and more assets. In this backdrop, it is necessary to analyze how these
micro credit programs can influence income, savings and assets for the borrowers.
As far as developing countries are concerned, Bangladesh may be considered as
the pioneer that started this financial innovation that provides loans to the poor
especially to women engaged in self-employment projects allowing them to
generate income and in many cases, begin to build wealth and eliminate poverty
(Hulme and Mosley 1996; Yunus 1983; World Bank 1994).
World Bank (Micro credit Summit 1997) classified the micro credit program in
Bangladesh as one of the most effective anti-poverty tools for the poorest. The
program extends small loans to unemployed poor people that are not bankable.
These individuals lack collateral, stable employment and therefore cannot meet
even the most minimum qualifications to gain access to formal credit.
37
Several empirical studies support that credit market involvements improve both
consumption and production of the poor via smoothing consumption and reducing
constraints in production (Feder et al., 1988 and Foster, 1995).
It is often argued that the formal financial sector and informal financial sector in
developing countries have failed to serve the poorer section of the community.
Collateral, credit rationing, preference for high income clients and large loans,
and bureaucratic and lengthy procedures of providing loan in the formal sector
keep poor people outside the boundary of the formal sector financial institutions
in developing countries. On the other hand, the informal financial sector has also
failed to help the poor. Monopolistic power, excessive higher interest rates, and
exploitation through under valuation of collaterals and high interest rates have
restricted the informal financial sector to providing credit to poor people for
income generating and poverty alleviation purposes (Bhaduri (1983); Rao (1980);
Bardhan (1980); Ghosh (1986); Ghat et. al. (1992).
Removing gender inequity and empowering of the women has been a cherished
goal of the NGOs and many other development organizations in Bangladesh.
Microfinance has definitely created an impact on the women borrowers. A good
number of studies have revealed the extent to which microfinance has contributed
to women’s empowerment. Results of one study suggested that microfinance’s
largest impact has been on the set of indicators relating to female control over
assets and knowledge of social issues (Zaman, 1999: 1-13).
The dynamics of social, economic, political, cultural and environmental forces
contrive in a manner that it separates the rich from the poor, strong from the
weak, haves from the have-nots and favor those in a better position. The
chemistry of sociology and the social factors like class, gender, ethnicity, caste,
religion, age, etc., play an important role in determining the access to and control
over resources for various groups of people in a given society. It is these
38
relationships among people, their social structures and institutional settings, and
their access to, and commands over resource base (physical, human, intellectual
and social) and the policy framework that promote (or hinder) development.
These factors are all the more relevant in the case of women who carry the double
burden of gender and poverty (Subrahmanyam, 2000).
However, some studies (Murdoch, 98; Amin, Rai and Topa, 2003) indicate that
the micro credit has not been as successful for the extreme poor as it was for the
other group of clients. Sometimes the blame goes towards the poor clients who do
not consider themselves eligible or who remain in seclusion from the formal
system and sometimes it goes to the organizations who do not consider them as
prospective clients due to their vulnerable condition. It is acknowledged by
researchers like D.S.K Rao (2004) and S. Ahmed (2004) that the approach
towards this particular group should be different than towards others. This makes
it is essential to have an in-depth understanding of micro credit and extreme
poverty relation from a practical level in order to use it successfully for the
extreme poor people.
A World Bank study by Khandker (2005) shows that micro credit programs have
greater impact on extreme poverty than on moderate poverty where he has defined
the extreme poor as households with 20 decimals of land or less. Many advocates
of micro credit, including Dr.Yunus, have strongly supported this and are very
much hopeful in eradicating extreme poverty by micro credit.
About 1.3 billion extremely poor people struggle to live on less than $1 a day.
They are trapped in poverty so severe, that they cannot adequately feed, clothe, or
shelter themselves or their families. Steady jobs and income elude the very poor.
To get by, many people have to create and run their own tiny businesses or small
handicraft manufacturing in the unregulated, "informal" sector. They might sell
39
produce at the market, or shine shoes, weave mats, or bake bread. Micro-
enterprises may be small, but their cumulative impact is huge: depending on the
country, micro-enterprises employ an estimated 30-80 percent of the working
population (Charmes, 1992: pp 23-24).
Some studies find micro credit a very successful and effective way of reaching
development goals, while other acknowledge issues such as women lacking
control over capital, creation of dependency for the loans and services, not
reaching the poorest of the poor (Thente, 2003).
Besides, rural political economy of Bangladesh consists of class relation
expressed through patron client hierarchies, with poor landowner’s sharecroppers
and landless labors being class clients tied individually to patrons who might be
landowners, moneylenders and employers, usually in combination. (Wood; 1994:
p486)
The limitations of the formal financial sector and the informal financial sector in
providing financial services, especially credit, encouraged the micro-credit
program to evolve. The micro-credit program was initiated with the objective of
providing poor people with credit without collateral. The harmony among group
members, the strict discipline in providing credit and collecting repayments, and
supervision of borrower’s activities in the micro-credit system replaced the
provision of collateral, which is very important in receiving credit from the formal
financial sector institutions. Professor Yunus called the process of substituting the
provision of collateral with group harmony and other aspects of micro-credit as
‘freeing of credit from the bondage of collateral’ [Yunus, (1997)].
Yunus idea of microfinance has been an inspiration for many countries and been
adapted by many organizations in Bangladesh. In a Bangladeshi village there
might be several different organizations offering loans to women. The Nobel
Peace Prize made a great stir in Bangladesh and as it started to fade, criticism
40
towards the system of microfinance started to be heard. Nijera Kori is a well-
known NGO in Bangladesh that is critical towards the system of microfinance and
declares that .We doesn’t do credit. (Kabeer, 2002a:2).
Micro credit is an enabling, empowering, and bottoms-up tool to poverty
alleviation that has provided considerable economic and non-economic
externalities to low-income households in developing countries. But there has
been a gradual apprehension that micro credit alone is not enough. Micro credit is
not a replacement for jobs that are not there, markets that are inaccessible, or
education and skills that do not exist. Micro credit is indeed an essential
ingredient in the development process, but not the only ingredient. (Faheem
Jehangir Khan)
Credit creates opportunities for self-employment rather than waiting for
employment to be created. It liberates both poor and women from the clutches of
poverty. It brings the poor into the income stream. Given the access to credit
under an appropriate institutional structure and arrangement, one can do whatever
one does best and earn money for it. One can overcome poverty. One can become
the architect of one's destiny and the agent of change not only for one's family but
also for the society. (H. I. Latifee Grameen Trust)
It is known that poor people live in a high risk and vulnerable conditions. Their
ability to take advantage of opportunities that will lead to increase their income or
economic status, to protect themselves against risks of crises, and to cope with
these when they occur is very important. Reduction of poverty is partly a process
of increasing income and economic stability which enables fulfillment of basic
needs and access to different kinds of services. This may also be understood in the
form of developing a range of assets that will reduce the vulnerability of the poor
to physical, economic and social shocks. These assets may be defined as financial
41
(income size, regularity and security, savings, loans or gifts), human (skills and
knowledge, ability to work, good health, self-esteem, bargaining power,
autonomy and control over decisions), physical (housing, land, productive and
nonproductive possessions etc.) and social (networks, group and centre
membership, trust based relationship, freedom from violence and wider access to
society and social institutions. (H. I. Latifee, Grameen Trust)
There are several good reasons for giving loans exclusively to women. First of all,
the Grameen Bank aims to provide loans for .the poorest of the poor. As women
are among the most disadvantaged in Bangladeshi society, the poorest of the poor
are often women. Secondly, loans given to women seem to bring more benefit to
the family than loans given to men. Women tend to use the income generated
by the loans to promote their children. Welfare rather than for radios,
motorcycles, gambling and tobacco, which is often the case with loans given to
men. Finally, women have proven better credit risks than men have. They are less
mobile and socially more vulnerable than men, and therefore easier to apply
pressure to. A married woman finds it difficult to leave home and defaulting on a
loan could damage her reputation seriously in the village. Therefore, female
borrowers go to great lengths to ensure repayment of the loans (Rahman 1999;
71-75).
Today, the world faces the major challenge of reducing poverty. Of the world’s
six billion people, 2.8 billion live on less than 2 dollar a day and 1.2 billion live
on less than 1 dollar a day. Of these 1.2 billion, 500 million live in South Asia.
General Assembly of the United Nations has recognized the positive impact of
micro credit in poverty reduction. Microfinance impact studies have demonstrated
that:
. Micro finance helps poor households meet basic needs and protects them
against risks.
42
. The use of financial services by low-income households leads to
improvements in household economic welfare and enterprise stability and
growth.
. By supporting women’s economic participation, microfinance empowers
women, thereby promoting gender-equity and improving household well
being.
. The level of impact relates to the length of time clients have had access
to financial services.
(First Quarterly Report for FY05 on Role of Micro credit in Poverty Alleviation)
Microfinance, in simple terms, can be described as small loans offered to poor
households to foster self-employment and income generations. The loans largely
go to rural landless, disadvantaged women and marginal farmers who depend
largely on selling their labor. The terminology of Micro credit has undergone a
change in recent time. Practitioners in many countries call it microfinance for its
wider dimension. Micro finance generally involves the following features:
Small loans, for both working capital and assets
Collateral free, substituted by group guarantees or compensatory savings
Access to repeat and larger loans
Intensive supervision and close monitoring
Secure savings products
Loan period generally for one year, may go up to 3 years
Options available for weekly/monthly installment payment
Can combine social development with financial intermediation.
(Fazle Hasan Abed, Founder Executive Director, BRAC)
A sustainable micro credit system in the country is vital for the long term
development of micro credit mechanism and to provide credit to the poverty hit
43
poor people, especially women in Pakistan. (Roshaneh Zafar, Founder president
of Kashf foundation)
A hefty sum of one trillion rupees is required to eliminate poverty from the
country. Ten million houses holds in Pakistan needed micro credit support and
one trillion rupees are required to meet the credit requirements of the deserving
people in the country who do not have access to small credit and living in extreme
poverty conditions. Out of 10 million house holds at present only 7% of them
have got micro credit. Charity and micro credit could not go together and a viable
micro credit system is the only sustainable option to reduce poverty and to extend
credit to the money less country men. (Roshaneh Zafar, Founder president of
Kashf foundation)
Micro credit banking should be kicked off on commercial basis. All the human
beings, including the poorest, are endowed with endless potential and with the
provision of financial support the poor people too can perform better and become
respectable members of the society. (Roshaneh Zafar, Founder president of Kashf
foundation)
In the market for micro, finance has undergone a rapid shift in the country. There
has been a marked increase in the number and the typology of players,
particularly in terms of the entry of four new micro finance banks. However,
despite this new development, scale continues to be a major challenge for the
market. An analysis of the Punjab market has revealed that the total number of
potential house holds that can access micro finance is about 5.6 million, with 1.6
million in the urban areas and four million in the rural areas. At the same time, the
overall market penetration in the Punjab is 12%, implying that 88% of the market
is still untapped. (Roshaneh Zafar, Founder president of Kashf foundation)
44
Micro finance has important economic and social value thus the
institutionalization and development of SMEs and micro finance sector in
Pakistan is an urgent need of the hour which can lead towards job creation,
enhancement of competitiveness and exports while pushing the overall economic
growth. Micro finance related financial services and access can make a stepping
stone towards uplifting including the borrowers and beneficiaries middle and
lower middle classes of the society for who accesses to institutional credit was
very limited previously. However, in Pakistan, this economic phenomenon is at
initial stage which needs to be implemented by extending their network following
the socio-economic ground realities of our rural and urban society. (Erum Zaidi)
Pakistan has to look at micro credit as it is successfully implemented in other
parts of the world. It then has to create a regulatory environment that will support
and promote micro credit operations. In many countries these operate outside the
banking controls regime and are not restricted in setting up entities that enable
successful operations. There are of course legal changes. In many cases social
collateral (a gathering of a group of people who know each other and thus provide
surety of the lending by the micro credit entity) or Group lending may not be
legally recognized. In certain cases even the micro finance entity may not be in
accordance with prevailing rules. Therefore the regulatory environment has to
provide for this growth. (Erum Zaidi)
The Pakistan Living Standard Measurement Survey (PSLM) conducted during
2004-05 shows a sharp decline in poverty incidence as suggested by falling Head
Count Ratio (HCR). The data indicates that the number of poor (i-e; people
having income below the poverty line of Rs 878.64 per adult per month) has
shrunk by 12 million. Region wise data indicates that the decline in rural poverty
more profound (12.5 million people) that the urban decline (9.8
million).Pakistan’s performance in reducing poverty compares well with the
45
MDG that has envisaged a 50% reduction in the poverty by 2015 in accordance
with which the poverty reduction strategy paper (PRSP) has targeted to reduce the
poverty level to 28% by FY06. (Erum Zaidi)
The majority of our population is referred to as a group living on disadvantages.
Comparing the economic conditions of the past years the inflation rate of Pakistan
is growing rapidly. Growing inflation has also become one of the biggest trends in
the society of Pakistan and it is affecting nothing but the lower class of Pakistani
society. The rich are growing richer and on the other side the poor are becoming
poorer. If we look at the basic needs of the people of Pakistan, what we expect
from them is, “food, clothing and shelter” or we can form different perceptions of
their basic needs “job, education and utilities”. The proportion of their three basic
needs with their three basic perceived needs is crucial not only for the poverty
alleviation but also for rising standard of living and economic stability (Erum
Zaidi).
The attempt of the Grameen Bank to alleviate poverty and enhance the skills and
productivity of its rural women clients provides the fascinating backdrop to this
important study of micro-credit institutions (Tazal Islam).
Poverty is hunger and not knowing where your next meal is coming from, because
you have already eaten the seeds you had stored for next year's planting. Poverty
is not having a roof over your head and having nowhere to go. Poverty is being
sick and not being able to see a doctor. It is the death of a child from a
preventable illness because you are unable to pay for medicine or clean water.
Poverty is not being able to read and not being able to go to a school. Poverty is
being unemployed and having little chance of getting a job even if there are any
because you have no training. Poverty is powerlessness, lack of representation
and freedom with no hope of change. Poverty is living one day at a time. Poverty
is not being able to bury your dead (Global Education).
46
Poverty is not created by poor people. It has been created and sustained by the
economic and social system that we have designed for ourselves; the institutions
and concepts that make up that system; the policies that we pursue (The Nobel
Foundation, 2006).
Micro credit and other financial services for poor people are important
instruments for poverty reduction and for empowerment, especially for women. In
declaring 2005 the International Year of Micro credit, the Global Development
Research Center (GDRC) identified an opportunity to raise awareness of the
importance of micro credit and microfinance in the eradication of poverty and to
share good practices (Global Education).
In the literature, the terms micro credit and microfinance are often used
interchangeably, but it is important to highlight the difference between them
because both terms are often confused. Sinha (1998, p.2) states “micro credit
refers to small loans, whereas microfinance is appropriate where NGOs and Micro
Financing Institutions supplement the loans with other financial services (savings,
insurance, etc)”. Therefore micro credit is a component of microfinance in that it
involves providing credit to the poor, but microfinance also involves additional
non-credit financial services such as savings, insurance, pensions and payment
services (Okio credit, 2005).
Robinson states that the 1980s represented a turning point in the history of
microfinance in that Micro Financing Institutions such as Grameen Bank and
BRAC began to show that they could provide small loans and savings services
profitably on a large scale. They received no continuing subsidies, were
commercially funded and fully sustainable, and could attain wide outreach to
clients (Robinson, 2001). It was also at this time that the term “micro credit” came
to prominence in development (MIX3, 2005). The difference between micro
credit and the subsidized rural credit programs of the 1950s and 1960s was that
47
micro credit insisted on repayment, on charging interest rates that covered the cost
of credit delivery and by focusing on clients who were dependent on the informal
sector for credit .It was now clear for the first time that micro credit could provide
large-scale outreach profitably.
Otero (1999, p.10) illustrates the various ways in which “microfinance, at its core
combats poverty”. She states that microfinance creates access to productive
capital for the poor, which together with human capital, addressed through
education and training, and social capital, achieved through local organization
building, enables people to move out of poverty (1999). By providing material
capital to a poor person, their sense of dignity is strengthened and this can help to
empower the person to participate in the economy and society (Otero, 1999).
The aim of microfinance according to Otero (1999) is not just about providing
capital to the poor to combat poverty on an individual level, it also has a role at an
institutional level. It seeks to create institutions that deliver financial services to
the poor, who are continuously ignored by the formal banking sector. Littlefield
and Rosenberg (2004) states that the poor are generally excluded from the
financial services sector of the economy so micro financing Institutions have
emerged to address this market failure. By addressing this gap in the market in a
financially sustainable manner, an micro financing institution can become part of
the formal financial system of a country and so can access capital markets to fund
their lending portfolios, allowing them to dramatically increase the number of
poor people they can reach (Otero, 1999).
Wright (2000,p.6) states that much of the skepticism of micro financing
institutions stems from the argument that microfinance projects “fail to reach the
poorest, generally have a limited effect on income…drive women into greater
dependence on their husbands and fail to provide additional services desperately
needed by the poor”. In addition, Wright says that many development
48
practitioners not only find microfinance inadequate, but that it actually diverts
funding from “more pressing or important interventions” such as health and
education (2000, p.6). As argued by Navajas et al (2000), there is a danger that
microfinance may siphon funds from other projects that might help the poor more.
They state that governments and donors should know whether the poor gain more
from microfinance, than from more health care or food aid for example.
Therefore, there is a need for all involved in microfinance and development to
ascertain what exactly has been the impact of microfinance in combating poverty.
Mayoux (2001, p.52) states that while microfinance has much potential the main
effects on poverty have been:
_ Credit making a significant contribution to increasing incomes of the better-off
poor, including women,
_ Microfinance services contribute to the smoothing out of peaks and troughs in
income and expenditure thereby enabling the poor to cope with unpredictable
shocks and emergencies.
Hulme and Mosley (1996) show that when loans are associated with an increase
in assets, when borrowers are encouraged to invest in low-risk income generating
activities and when the very poor are encouraged to save; the vulnerability of the
very poor is reduced and their poverty situation improves.
Johnson and Rogaly (1997, p.12) also refer to examples whereby savings and
credit schemes were able to meet the needs of the very poor. They state that
microfinance specialists are beginning to view improvements in economic
security, rather than income promotion, as the first step in poverty reduction as
this reduces beneficiaries’ overall vulnerability.
Chowdhury, Mosley and Simanowitz (2004) argue that if microfinance is to fulfill
its social objectives of bringing financial services to the poor it is important to
49
know the extent to which its wider impacts contribute to poverty reduction. In the
following sections I will examine the findings from wider assessments of
microfinance interventions at a household and community level, to show what
learning can be gained when impact assessments have a broad scope of analysis.
Littlefield, Murdoch and Hashemi (2003, p.4) state that one of the first things that
poor people do with new income from micro enterprise activities is to invest in
their children’s education. Studies show that children of microfinance clients are
more likely to go to school and stay longer in school than for children of non-
clients. Again, in their study of FOCCAS, client households were found to be
investing more in education than non client households. Similar findings were
seen for projects in Zimbabwe, India, Honduras and Bangladesh.
Chowdhury and Bhuiya (2004, p.377) assessed impact of BRAC’s poverty
alleviation program from a “human well-being” perspective in a program in
Bangladesh where they examined seven dimensions of ‘human-well being’. The
project included the provision of microfinance and training of clients on human
and legal rights .They noted that the project led to better child survival rates,
higher nutritional status, improvement in the basic level of education, and
increased networking in the community. Children of BRAC clients suffered from
far less protein-energy malnutrition than children of non members, and the
educational performance of BRAC member’s children was also higher than that
of children in non BRAC households. BRAC member households spent
significantly more on consumption of food items than poor non-members did and
per capita calorie intake was also significantly higher.
However, Johnson (2004, p.5) states that having women as key participants in
microfinance projects does not automatically lead to empowerment; sometimes
negative impacts can be witnessed. She refers to increased workloads, increased
domestic violence and abuse. This leads her to ask a crucial question of whether
targeting women is just an efficient way of getting credit into the household, since
50
women are more likely than men to be available in the home, attend meetings, be
manageable by field staff and take repayment more seriously, even if they do not
invest or control the loan themselves? Or on the other hand, if such targeting is
fully justified on the grounds of enhancing gender equity. She claims the answer
is probably somewhere between the two alternatives. She argues that micro
financing institutions must analyze both the positive and negative impacts their
interventions are having on women, and that micro financing Institutions need to
work with men to help pave the way for a change in attitudes to women’s
enhanced contribution to the household (2004, p.6).
The impact of microfinance on poverty alleviation is a keenly debated issue as we
have seen and it is generally accepted that it is not a silver bullet, it has not lived
up in general to its expectation (Hulme and Mosley, 1996). However, when
implemented and managed carefully, and when services are designed to meet the
needs of clients, microfinance has had positive impacts, not just on clients, but on
their families and on the wider community. There is however a need for greater
assessment of these wider impacts if the true value of microfinance to
development is to be understood (Zohir and Matin, 2004).
The poor are marginalized not only in relation to economic processes in society,
but also in relation to information and communication processes. The situation of
the poor is frequently misconstrued or ignored in societal communication. At the
same time, the poor are not able to make their voice heard and so are not able to
communicate accurate descriptions of their reality or engage in decision-making
processes (Burke, 1999; Hills, 2000).
Considerable debate remains about the effectiveness of microfinance as a tool for
directly reducing poverty, and about the characteristics of the people it benefits
(Chowdhury, Mosley and Simanowitz, 2004). Sinha (1998) argues that it is
51
notoriously difficult to measure the impact of microfinance programs on poverty.
This is so she argues, because money is fungible and therefore it is difficult to
isolate credit impact, but also because the definition of ‘poverty’, how it is
measured and who constitute the ‘poor’ “are fiercely contested issues” (1998,
p.3).
Poverty is a complex issue and is difficult to define, as there are various
dimensions to poverty. For some, such as World Bank, poverty relates to income,
and poverty measures are based on the percentage of people living below a fixed
amount of money, such as US$1 dollar a day (World Bank, 2003).
Carney (1998, p.4) defines a livelihood as comprising “the capabilities, assets
(including both material and social resources) and activities required for a means
of living.” Chambers (1997, p.10) states that livelihood security is “basic to well-
being” and that security “refers to secure rights and reliable access to resources,
food, income and basic services. It includes tangible and intangible assets to offset
risk, ease shocks and meet contingencies.” Lindenberg (2002, p.304) defines
livelihood security as “a family’s or community’s ability to maintain and improve
its income, assets and social well-being from year to year.” Concern also state that
livelihood security is more than just economic well-being as they define
livelihood security as “the adequate and sustainable access to and control over
resources, both material and social, to enable households to achieve their rights
without undermining the natural resource base” (Concern, 2003). Livelihood
security therefore, like poverty, is not just about income, but includes tangible and
intangible assets, and social well being.
Johnson and Rogaly (1997, p.122) state that “NGOs aiming for poverty reduction
need to assess the impact of their services on user’s livelihoods.” They argue
(1997) that in addressing the question of the impact of microfinance, NGOs must
52
go beyond analyzing quantitative data detailing the numbers of users, and
volumes and size of loans disbursed, to understanding how their projects are
impacting on clients’ livelihoods. They state (1997, p. 118) that the provision of
microfinance can give poor people “the means to protect their livelihoods against
shocks as well as to build up and diversify their livelihood activities”. Therefore
when analyzing the impact of microfinance the overall impact of the microfinance
services on the livelihoods of the poor needs to be taken into consideration.
A livelihood security approach according to Concern (2003) aims for a holistic
analysis and understanding of the root causes of poverty and how people cope
with poverty. They identify livelihood shocks such as natural disasters and
drought, the social, political and economic context, and people’s livelihood
resources such as education and local infrastructure as factors affecting people’s
livelihood security .Therefore, when analyzing the impact microfinance is having
on livelihood security, as is the objective of this dissertation, a holistic analysis of
people’s livelihood security must be conducted, rather than just focusing on the
material/economic impact microfinance is having on the livelihoods of the poor.
Health and education are two key areas of non-financial impact of microfinance at
a household level. Wright (2000, p.31) states that from the little research that has
been conducted on the impact of microfinance interventions on health and
education, nutritional indicators seem to improve where micro financing
institutions have been working. The Research on the Grameen Bank shows that
members are statistically more likely to use contraceptives than non-members
thereby impacting on family size. Littlefield, Murdoch and Hashemi (2003, p.3)
also acknowledge the sparse specific evidence of the impact of microfinance on
health but where studies have been conducted they conclude, “house holds of
microfinance clients appear to have better nutrition, health practices and health
education than comparable non-client households”. Among the examples they
give is of FOCCAS, a Ugandan micro financing institution whose clients were
53
given health care instructions on breastfeeding and family planning. They were
seen to have much better health care practices than non-clients, with 95% of
clients engaged in improved health and nutrition practices for their children, as
opposed to 72% for non-clients (Littlefield, Murdoch and Hashemi, 2003).
Littlefield, Murdoch and Hashemi (2003, p.4) state that access to micro financing
institutions can empower women to become more confident, more assertive, more
likely to take part in family and community decisions and better able to confront
gender inequities. However, they also state that just because women are clients of
micro financing Institutions does not mean they will automatically become
empowered. Hulme and Mosley (1996, p.128) also make this point when they
refer to the “naivety of the belief that every loan made to a woman contributes to
the strengthening of the economic and social position of women”. However, with
careful planning and design women’s position in the household and community
can indeed be improved. According to Littlefield, Murdoch and Hashemi (2003),
the Women’s Empowerment Program in Nepal found that 68% of its members
were making decisions on buying and selling property, sending their daughters to
school and planning their family, all decisions that in the past were made by
husbands.
They refer to studies in Ghana and Bolivia, which indicated that women involved
in microfinance projects, had increased self-confidence and had an improved
status in the community.
Zohir and Matin (2004, p.318) state that many micro financing institution loans
are used for agricultural production, trading, processing and transport, resulting in
an increase in the use of agricultural inputs and increased output of agricultural
production. This leads to enhanced employment opportunities in these sectors for
the wider community and a reduction in the prices of such produce due to
increased supply. They also state that trading activities financed by micro
54
financing institutions can help to establish new marketing links and increase the
income of traders, and this can lead to reduced migration due to increased
employment opportunities and increased income (Zohir and Matin, 2004). From a
social perspective, they state that reduced migration increases family cohesion
and greatly contributes towards improving child upbringing.
Zohir and Matin (2004) state that the interaction within micro financing
institution groups can create co-operation and trust that not only facilitates the
microfinance activities, but also contributes benefits beyond the service provided,
such as a greater sense of community, trust and reliance on the group in times of
crisis. These networks can lay the foundations for other social capital
developments in the community. They state that examples of cultural impacts of
social intermediation that affect the greater community could be a change in
attitude of society towards the acceptable age of women’s marriage, domestic
violence, dowry, etc.
One of the key roles microfinance has to play in development is in bringing
access to financial services to the poor, to those who are neglected by the formal
banking sector. This is their social mission. Mainstream banks target clients that
have collateral. The poor do not have assets to act as collateral, therefore they are
ignored by the formal financial sector. These banks tend to be found in urban
centers while the majority of the poor in the developing world live in rural areas,
where financial services are not provided. Therefore, if micro financing
institutions are to fill this void they must reach the rural poor. However, according
to most studies, microfinance is only reaching a small fraction of the estimated
demand of the poor for financial services (Littlefield and Rosenberg, 2004).
Micro financing institutions have more than just a social mission. Markowski
(2002, p.117) states they have a dual mission: a social mission “to provide
55
financial services to large numbers of low-income persons to improve their
welfare”, and a commercial mission “to provide those financial services in a
financially viable manner”.
We have already seen that micro financing institutions are not fulfilling their
social mission to the extent needed to meet the demands of the poor for financial
services. Simanowitz with Walter (2002) argue that microfinance is a compromise
between this social mission and commercial mission. As there is more emphasis
on financial and institutional performance, opportunities for maximizing poverty
impact and depth of outreach have been compromised. They call for a balancing
of social and financial/commercial objectives because the current focus on
financial objectives means fewer of those most in need of microfinance services
are being targeted. To do this they argue “it is now time to innovate and design
services that maintain high standards of financial performance, but which set new
standards in poverty impact” (2002, p.3).
The poor are marginalized not only in relation to economic processes in society,
but also in relation to information and communication processes. The situation of
the poor is frequently misconstrued or ignored in societal communication. At the
same time, the poor are not able to make their voice heard and so are not able to
communicate accurate descriptions of their reality or engage in decision-making
processes (Burke, 1999; Hills, 2000). These two aspects of poverty on the one
hand, the undermining nature of communication (or lack of communication)
about the poor in society, and on the other hand the inability of the poor to engage
in those communication processes on equal terms are mutually reinforcing.
Over the past three decades micro credit has gained enormous success in reducing
poverty on a global scale. As an efficient financial mechanism, micro credit
enables various governmental and non-governmental actors to realize the
millennium development goals (MDGs) (Farhad Hossain)
56
By adopting microfinance as a central element in their development programs,
several development organizations, among them governmental and non-
governmental organizations (NGOs), aim to decrease global poverty while
simultaneously enhancing the profile of women and other underprivileged
communities (Hossain, 2002).
CGAP (2003) defines microfinance as ‘the supply of loans, savings, and other
basic financial services to the poor’. Micro credit, a central theme of microfinance
(Greene and Gangemi, 2006), is broadly recognized as ‘the practice of offering
small, collateral-free loans to members of cooperatives who otherwise would not
have access to the capital necessary to begin small businesses (Hossain, 2002:
79).
Successful adoption and implementation of microfinance programs in
development organizations such as ACCION in the United States, ASA and
BRAC in Bangladesh and BRI in Indonesia has further increased the interest in
microfinance phenomenon (ASA, 1997; Navajas et al., 2000).
The success of microfinance initiatives have been countered by heavy criticism
regarding exploitation of women, inability to effectively cater to target groups,
unchanging poverty levels, high interest rates and loan repayment (Holt, 1994;
Dignard and Havet, 1995; Christen, 1997; Mallick, 2002; Brau and Woller, 2004).
Very poor individuals are often described as high risk due to their lack of
collateral and unstable sources of income and hence timely repayment of loans is
often not anticipated. Holt (1994) and Christen (1997) cite loan repayment as one
of the major challenges to microfinance, particularly in the Caribbean context, for
example, given that a poor repayment culture has plagued numerous microfinance
initiatives within the region (von Stauffenberg, 2000; Lashley, 2004).
57
Dignard and Havet (1995) and ASA (1997) propose several causes of default in
micro credit, which can be divided into four main categories. These are
organizational, household/financial, group dynamics and other factors such as
geographical location and environmental degradation. Christen (1997) observes
that initially between 1970s and 1980s, the latter three categories were held
responsible for high delinquency rates in credit programs for the poor. However,
he suggests that contemporary microfinance programs have countered this view
by demonstrating that the responsibility essentially relies upon factors within the
control of the lending institution, that is, organizational factors such as staff
inefficiency and skill as well as clear communication of repayment expectations.
Despite the various factors influencing default in micro credit programs, the
current literature generally concedes that high repayment rates are a common
feature of most micro credit programs (Dignard and Havet, 1995; Brau and
Woller, 2004).
Deheija et al. (2005: 6) observe that ‘high repayment rates are insufficient to drive
the microfinance revolution’. Consequently, they identify high interest rates as
necessary for generation of profitability, in order to ensure reduced reliance of
microfinance institutions (micro financing institutions) on external funding.
In a recent study by Knight (2007), it was observed that the interest rate is often
dependent on the purpose of the loan. Interest rates have been lowered for
particular initiatives such as education, agriculture and housing or mortgage, as
well as those which encourage productivity and help the poor to obtain access to
the basic necessities of life.
Yunus (The Nobel Foundation, 2006) maintains that the high repayment rate
which was present in the initial stages of his micro credit pilot program is still in
58
force today at 99 percent. This is enforced by group lending which incorporates
peer selection among the lending group (Ghatak, 1999 cited in Brau and Woller,
2004).
Mallick (2002) further suggests that the role of women in microfinance is simply
as an intermediary for loans to men, as a means of reducing the threat of physical
violence by men when pressured by bank workers to make repayments. This,
however, is countered by Newaz (2003) who advocates the effectiveness of
microfinance in facilitating empowerment of women by creating prestige and
rural social support systems for women, in terms of fulfilling societal, familial and
practical responsibilities. Hossain (2002) also observes that the improved status of
women over the last three decades has been illustrated by a significant increase in
the number of female workers in banking, education, garment manufacturing and
other service sectors as a result of microfinance initiatives. This observation
suggests that with expansion of the micro credit field, the role of women in
society has in fact become much less limited.
Since the 1990s, alleviating poverty has been the top priority in international
development. Within this framework, various initiatives have already been taken.
One particular strategy in tackling poverty that has caught the attention of many
aid donors and non government organizations (NGOs) is the provision of small
loans through micro credit programs. Bangladesh, one of the poorest countries in
the world, is the cradle of this "micro credit movement." Grameen Bank in
Bangladesh enjoys international fame, and its model has been replicated in
countries all over the world (Develtere, Patrick; Huybrechts)
There are different ways to measure the impact of micro credit on income and
consumption. First there is the borrowers' recall of the "before-after" situation.
Using this method in the early 1980s, Hossain concluded that both per capita
59
income and household income were positively associated with the amount of
credit obtained from Grameen Bank.
The impact can also be gauged through member perception. On the basis of a
survey of 1986 measuring borrower perception, Hossain found that 91 percent of
Grameen Bank members improved their economic conditions after joining
Grameen Bank. (Develtere, Patrick; Huybrechts)
It should be noted that many households working in the agricultural sector have to
deal with seasonality in consumption. At harvest time, their income reaches a
peak. In other periods they have almost nothing. The programs of Grameen Bank
and BRAC help to smooth their consumption pattern.
Finally, for a program to be successful, it is not only important to alleviate the
poverty of its clients but also to achieve a long-term sustainability of the benefits
(Develtere, Patrick; Huybrechts).
60
Chapter 3
61
This chapter provides perspective on the research design used to investigate the
research problem with specific reference to the survey design, selecting location,
data collection method, limitations of the study, theoretical frame work, problem
statement, variables (dependent, independent, moderating), transmission
mechanism of micro credit to poverty alleviation, hypothesis development and
hypothesis statements.
Survey design
Basically I am analyzing the role of micro credit in poverty alleviation. Micro
credit is known as an effective tool for poverty alleviation. In poor countries like
Pakistan greater attention has been paid to poverty alleviation through micro
credit, especially in the last decade. Many micro credit institutions are working in
Pakistan for poverty alleviation but still we can see that gap between poor and
rich is increasing every day. Rich is becoming richer and richer and poor is
becoming poorer and poorer.
So; I compared living standard of poor people living in four urban slum areas of
Rawal pindi and Islamabad (Muslim Colony, Dhok Kala Khan, Tehmaspabad and
Shakrial) before and after utilization of the credit in order to analyze the role of
micro credit in poverty alleviation. The sample size for this survey is 200 with 50
respondents per area. The study was based on questionnaires which were
distributed after translating it into Urdu so that respondents can easily understand
it and fill it accordingly. The dependent variable is Poverty reduction where as
independent variable is micro credit. And moderating variable is Environment.
Environment is taken in a sense that it covers Political environment, it means that
what are the government strategies to reduce poverty and to improve living
standard of its people. What are the banks policies to reduce poverty, what is the
interest rate? What are the conditions on which bank is lending loan to people, are
conditions acceptable by people, are conditions affordable by people?
62
Selecting location
This study was conducted in two cities of Pakistan i.e. Rawal pindi and
Islamabad. In both cities the study targeted four urban slum areas i.e. Muslim
Colony, Dhok Kala Khan, Tehmaspabad and Shakrial.
Data collection method
I used Questionnaire as a data collection tool. Questionnaire allows the researcher
to gather structured information from a large number of individuals. The analysis
of questionnaire is easy due to the structured information in it.
To get more relevant data I translated questionnaire into Urdu through In page
and then I distributed them to respondents so that they can easily understand
questions. Because if I asked them question in Urdu and they answer me I will not
be sure that they perceived my question in exactly that way in which I am asking.
So; to overcome this problem I found it better to translate questionnaire into Urdu
so that every one can easily read it, understand it and answer it accordingly.
Population consists of the totality of the observations with which researcher is
concerned. Where as a Sample is a subset of a population.
Population in this study consisted of people of Muslim Colony, Dhok Kala Khan,
Tehmaspabad and Shakrial who have taken micro credit and sample was of 200
with 50 respondents per area. Response rate was 100%.
I have used Purposive sampling which is type of Non probability sampling in
which the elements in the population do not have any probability attached to their
being chosen as sample subjects. Purposive sampling confines to specific type of
people who can provide the desired information, either because they are the ones
who have it, or confirm to some criteria set by the researcher. As I selected those
63
people who are using micro credit or have used micro credit. Purposive sampling
is of two types’ judgment sampling and quota sampling. I have used judgment
sampling. This sampling involves the choice of subjects who are most
advantageously placed or in the best position to provide the information required.
Because those people are experiencing micro credit or have experienced micro
credit so they can better tell what impact micro credit has or had on their living
standard. Better comparison can be made of their living standard before and after
utilization of micro credit.
The responses were tabulated and expressed in terms of percentage and
frequencies. Thus the collected data were analyzed statistically using mean,
Standard deviation and Range with the help of Statistical Package for Social
Sciences (SPSS) and graphs were made on MS Excel.
Limitations of the study
One of the limitations of my study is that I was not able to spend more time
among the community. It was not possible for a number of reasons. Such as it will
not seem ‘normal’ to the community to live among them in order to get to know
about their condition, to overcome this problem I tried to make such questionnaire
which will be easy for them to read, understand and fill it. That is why I translated
questionnaire into Urdu which everyone among them can read and understand.
But I think it would have been better if I could spend more time.
64
Theoretical Frame Work
After conducting surveys, completing a literature review and defining problem
statement, one is ready to develop a theoretical frame work.
A theoretical frame work is a conceptual model of how one theorizes or makes
logical senses of the relationships among the several factors that have been
identified as important to the problem.
After theoretical frame work I developed hypothesis to examine whether the
theory formulated is valid or not. The hypothesis relationships can therefore be
tested through appropriate statistical analysis.
Problem Statement
Problem statement is also often referred to, is a clear, precise and succinct
statement of the question or issue that is to be investigated with the goal of
finding an answer or solution.
Here in this study problem statement is:
What impact micro credit has on poverty alleviation?
Variables
A variable is anything that can take on differing or varying values. The values can
differ at various times for the same object or person, or at the same time for
different objects or persons.
65
Dependent Variable
The dependent variable is the variable of primary interest to the researcher. The
researcher’s goal is to understand and describe the dependent variable, or to
explain its variability, or predict it. In my study dependent variable is Poverty
reduction.
Independent Variable
An independent variable is one that influences the dependent variable in either
positive or negative way. That is, when the independent variable is present, the
dependent variable is also present, and with each unit of increase in the
independent variable, there is an increase or decrease in the dependent variable
also. In other words, the variance in the dependent variable is accounted for by the
independent variable. In this case independent variable is Micro Credit.
Moderating Variable
The moderating variable is one that has a contingent effect on the independent
and dependent variables relationship. That is, the presence of a variable
(moderating variable) modifies the original relationship between independent and
the dependent variables. I have taken environment as a Moderating Variable.
Environment is taken in a sense that it covers Political environment, it means that
what are the government strategies to reduce poverty and to improve living
standard of its people. What are the banks policies to reduce poverty, what is the
interest rate? What are the conditions on which bank is lending loan to people, are
conditions acceptable by people, are conditions affordable by people?
66
Independent variable Dependent variable
Moderating variable
67
POVERTY REDUCTION MICRO CREDIT
ENVIRONMENT
Here micro credit is taken as an independent variable and poverty reduction as a
dependent variable. When micro credit increases poverty decreases so; poverty
reduction is dependent on micro credit.
Previous researches conducted on this topic “Role of micro credit in poverty
alleviation” shows that micro credit is an effective tool in poverty alleviation.
“Micro-credit is known as an effective tool for poverty alleviation. In poor
countries like Pakistan greater attention has been paid to poverty alleviation
through micro-credit, especially in the last decade. The successful use of the
micro credit is considered as a victory for the disadvantaged segments.”
(Poverty alleviation through micro credit Zahid Shahab Ahmed (Pakistan))
68
Transmission Mechanism of Micro credit to Poverty Alleviation
69
Micro credit Target poorest segment of society
Increase in employment
Rise in income level
Better nutrition
Increase in training and education
Improvement in accommodation
Increase in savings
Improvement in living standard
Increase in consumption of goods and servicesAggregate demand increases
Increase in investment and employment opportunitiesAggregate supply increases
Economy grows and poverty declines
Some of the factors that show poverty reduction are Training and education, clean
water and hygienic environment, Nutrition and adequate food, Accommodation,
Income and savings.
Hypothesis development
Hypothesis can be defined as logically conjectured relationship between two or
more variables expressed in the form of a testable statement.
Once the researcher identifies the important variables in a situation and
establishes the relationships among them through logical reasoning in the
theoretical frame work, now is a time to test whether the relationships that have
been theorized do in fact hold true. By testing these relationships scientifically
through appropriate statistical analysis researcher is able to obtain reliable
information on what kind of relationship exist among the variables operating in
the problem situation. The results of these tests offer some clues as to what could
be changed in the situation to solve the problem. Formulating such testable
statements is called hypothesis development.
70
Hypothesis Statements
There are different formats of hypothesis statements such as if-then, directional
and non directional, null and alternate.
I have used Directional Hypothesis. It shows positive/negative relationship
between two variables.
Ho: Training and education does not play any role in poverty reduction
H1: Training and education plays an important role in poverty reduction
Ho: Clean water and hygienic environment has no impact on poverty reduction
H1: Clean water and hygienic environment has an impact on poverty reduction
Ho: Nutrition and adequate food is not an important player of poverty reduction
H1: Nutrition and adequate food is an important player of poverty reduction
Ho: Accommodation has no concern with poverty reduction
H1: Accommodation has an important concern with poverty reduction
Ho: Income does not play an important role in poverty reduction
H1: Income plays an important role in poverty reduction
Ho: Savings does not play an important role in poverty reduction
H1: Savings plays an important role in poverty reduction
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Chapter 4
72
This chapter presents the most salient findings based on the empirical analysis and
provides an overview of the research findings obtained based on the statistics for
the measuring instruments which were utilized. This chapter presents statistical
techniques (percentage, frequency, mean, standard deviation and range).
Statistical analysis is done using software Statistical Package for Social Sciences
(SPSS) and graphs are made on MS EXCEL.
Data Analysis
Statistical techniques
Percentage
A percentage is a special type of proportion where the ratio is multiplied by a
constant, 100, so that the ratio is expressed per 100.
Frequency
The rate at which something happens or is repeated is called frequency.
Mean
In statistics, the mean is the mathematical average of a set of numbers. The
average is calculated by adding up two or more scores and dividing the total by
the number of scores. Consider the following number set: 2, 4, 6, 9, and 12. The
average is calculated in the following manner: 2 + 4 + 6 + 9 + 12 = 33 / 5 = 6.6.
So the average of the number set is 6.6.
73
Standard deviation
Standard deviation is a measure of the dispersion of outcomes around the mean
(or expected value), used to measure total risk. It is the square root of the
variance.
Range
The Range R is defined as the difference between the extreme values, i-e the
difference between the largest and the smallest values in the data. Symbolically,
the range is given by the relation.
R=xm – xo
Where xm stands for the largest value and xo denotes the smallest one. In a
frequency distribution, the range is equal to the difference between the upper
boundary of the highest class and the lower boundary of the lowest class.
74
Results
Descriptive statistics
The descriptive statistics calculated for the sample are provided in the sections
that follow. In this manner, the properties of the observed data clearly emerge and
a feel for the data can be established (Sekaran, 2003).
Frequency( #) Percentage (%)
Gender
Male 130 65
Female 70 35
Age
20 yrs or below 19 9.5
21-30 yrs 50 25
31-40 yrs 59 29.5
41-50 yrs 54 27
Above 50 yrs 18 9
Education
Master 30 15
Bachelor 35 17.5
Intermediate 41 20.5
75
Matriculation 32 16
Under matric 31 15.5
Illiterate 31 15.5
Marital status
Single 147 73.5
Married 53 26.5
No. of children
0 67 33.5
1-2 57 28.5
3-4 55 27.5
5 or more 20 10
Occupation
None/ surviving on zakat,
charity and occasional labor
12 6
Driver 25 12.5
Sweeper 29 14.5
Labor 65 32.5
Peon 10 5
School teacher 44 22
Other 15 7.5
Do you have any experience
with micro credit?
Yes 155 77.5
76
No 45 22.5
If Yes, how long you been
using it?
Less than 6 months 5 3.2
6 months 12 7.7
1 year 41 26
More than 1 year 97 62.5
What is the total amount of
micro credit you have taken
so far?
2000 1 0.6
4000 26 16.7
6000 11 7.0
other 117 75
What did you do with the
money?
Open shop or purchased taxi,
rickshaw, sewing machine
63 40.6
Improve housing condition 50 32.2
Invest in children education 23 14.8
Other 35 22.5
Will you take more credit
after paying the current
77
due?
Yes 101 65
No 54 34.8
Are you satisfied with the
government policies of
granting loan?
Yes 71 45.8
No 84 54
Are you satisfied with the
bank policies?
Yes 57 36
No 98 63
Are you satisfied with the
interest rate you have to
pay?
Yes 42 27
No 113 73
Have you ever had any
problem in paying the
weekly payment?
Yes 106 68
No 49 31
Does the money you borrow
from micro finance bank
78
cover your needs or do you
have to borrow from
someone else?
Covers 71 45.8
Not covers 84 54
Do you think this system is
perfect or it should be
improved?
Perfect 44 28.3
Need improvement 111 71.6
Do you think this system is
according to your demand?
Yes 57 36.7
No 98 63.2
Do you have clean drinking
water and hygienic
environment?
Yes 52 33
No 103 66
Do most of diseases you
people bear are because of
unclean water and
unhygienic environment?
Yes 132 85
79
No 23 14
Is clean water and hygienic
environment always
available to you?
Yes 35 22
No 120 77
Do you have proper
sanitation system?
Yes 55 35
No 99 63
Do you have to face water
shortage?
Yes 122 78
No 33 21
Is drinking water available
to you at home or you had
to bring it from some other
area?
Available at home 51 33
Not available at home 104 67
Do you have your own
house, or it is rented?
Own 71 45
Rented 84 54
80
Is your house enough for
family members?
Enough 65 42
Not enough 90 58
What type of house it is?
Mud house 63 40
Stone house 92 59
Is your house strong
enough to bear
thunderstorm or any other
kind of natural disaster?
Strong enough 92 59
Not enough 63 40
Does your house have basic
necessities such as bed,
chair, and electricity?
Yes 140 90
No 15 9.6
Do you have enough rooms,
or you all live in one room?
Enough 43 27
One 112 72
81
Is your income enough for
family members?
Enough 44 28
Not enough 111 71
Is your income enough to
bear any uncertain
expenses (sudden guest,
child gets ill, breakage of
any property (house) due to
thunderstorm, earth quake
etc)?
Enough 45 29
Not enough 110 71
Are you the only earner of
the family?
Yes 90 58
No 65 42
What is your total family
income?
2000 5 3.2
4000 42 27
6000 28 18
Other 80 51
82
Is your income enough to
bear recreational activities
for children?
Yes 44 28
No 110 71
Do you want some other
sources of income?
Yes 132 85
No 23 14.8
Do you encourage savings?
Yes 146 94
No 9 5.8
Are you able to save, or it is
difficult for you?
Able 44 28
Difficult 111 71
Do you have savings for
rainy days and any natural
disaster?
Yes 53 34
No 102 65
How much part of income
do you save?
5% 32 20
83
10% 18 11.6
15% 11 7.0
None 94 60
What is the objective of
your savings?
To meet any uncertain crisis
in future
62 40
For future use, if you have
nothing left with you
42 27
For children welfare 32 20
Other 26 16
Do you want to invest your
savings in any form of
business (rickshaw, taxi,
shop etc)?
Yes 99 63
No 56 36
Have you involved in any
kind of training (Auto
workshop etc) or education
program?
Yes 63 40
No 92 59
84
Do you feel that by training
or education you can
improve your living
standard?
Yes 81 52
No 74 47
Do you think training or
education is expense or
asset?
Expense 81 52
Asset 74 47
Have any of your children
getting any kind of training
or education?
Yes 88 56
No 67 43
Do you think training or
education is a way to solve
your problems?
Yes 117 75
No 38 24.5
If opportunity of free
education and training is
provided to you, will you
85
avail it?
Yes 124 80
No 31 20
Do you have enough food
every day?
Yes 81 52.2
No 74 47.7
Do you feel difficult to
manage food expenses?
Yes 107 69
No 48 31
What is your daily average
expense on food?
100 39 25
150 42 27
200 39 25
Other 35 22.5
Is there any day you live
without food?
Yes 82 53
No 73 47
Have you ever felt
uncertain about whether I
86
will get next time meal or
not?
Yes 87 56
No 68 43.8
What do you mostly eat?
Fresh chapatti 108 70
Meat 95 61
Lintels 68 43.8
Stale chapatti 47 30.3
Rice 99 63.8
Other 13 8.3
How do you see the
difference in your life after
you started using micro
credit?
Improve accommodation 90 58
Clean water and hygienic
environment
3 1.9
Increase income 29 18.7
Increase savings 14 9.0
Adequate food 8 5.1
Training and education 27 17.4
Other 11 7.0
87
The results for the various facets of the questionnaire to determine the Role of micro
credit in poverty alleviation are outlined in above table. Results indicate that majority
[(N=130) (65%)] of the borrowers are male. Most of borrowers [(N=59) (29.5%)]
belongs from 31-40age group. Majority [(N=41) (20.5%)] are intermediate. Major part of
the population [(N=147) (73.5%)] is single. Those who are married, their large
population [(N=67) (33.5%)] has zero children. mostly people are laborers [(N=65)
(32.5%)].total sample size was 200 out of which 155 (77.5%) has an experience of taking
micro credit. and [(N=97) (62.5%)] has an experience since more than 1 year. [(N=117)
(75%)] has taken credit more than 6000. [(N=63) (40.6)] has opened shop, purchased
taxi, rickshaw or sewing machine. [(N=101) (65%)] is planning to take more credit after
paying the current due. But [(N=84) (54%)] is not satisfied with government policies of
granting the loan and [(N=98) (63%)] is not satisfied with the bank policies. Similarly
[(N=113) (73%)] is not satisfied with the interest rate they have to pay. [(N= 106) (68%)]
faces problem with the weekly/monthly payments. And [(N=84) (54%)] says that the
money they borrow from micro finance bank does not covers their all needs. And
[(N=111) (71.6%)] says this system is not perfect for poverty reduction it needs
improvements. Similarly [(N=98) (63.2%)] says this system is not according to their
demand.
It has also been found that [(N=182) (117.1%)] micro credit beneficiaries had
improvement in their living standard after utilizing the micro credit.
Rests of 18 claims that before micro credit they used to sleep hungry but they were
relaxed as they did not have to return any credit. But after taking micro credit they have
tension of repayment credit, sometimes they have less earning and they have tension that
their earning is less then from where they can return credit. And also those people who
have purchased any taxi or rickshaw and they are worried about it that what they will do
if it is stolen. So; micro credit makes their life full of tension according to them.
88
As the factors that show poverty reduction in this study are training and education, clean
water and hygienic environment, nutrition and adequate food, accommodation, income
and savings.
And we can see from the above table that [(N=90)(58%)] see improvement in
accommodation after taking micro credit.[(N=29)(18.7%)] see betterment in income.
[(N=27)(17.4%)] gets training and education after taking micro credit.[(N=14)(9%)] see
increase in savings after utilizing micro credit. [(N= 11) (7%)] uses this credit to make
payments taken from other people, marriages, purchasing land etc. [(N= 8) (5.1%)] says
they get adequate food after using micro credit. and only [(N=3) (1.9%)] says they get
clean water and hygienic environment after using micro credit.
89
Graphical representation of respondent’s demographic characteristics
0
100
200
Gender
Series1 130 70
Male Female
As highlighted by above figure, the majority of the respondents in the
sample are males, with 65 (N=130) of the respondents being male and
35% (N=70) of the respondents being female.
90
0
10
20
30
40
50
60
Age
Series1 19 50 59 54 18
20 yrs or below
21-30 31-40 41-50Above 50
yrs
As illustrated by above figure, 59 respondents (29.5%) fall into the age
group 31-40 years. 54 respondents (27%) fall into the age group 41-50
years and 50 respondents (25%) fall into the age group 21-30 years.
19 respondents (9.5%) fell into the age 20 years or below. The fewest
respondents (18; 9%) fall into the age group above 50 years.
0
20
40
60
Education
Series1 30 35 41 32 31 31
Mast Bach Inter Matri Unde Illiter
91
Above Figure 3.6 highlights the educational level of the sample. It can
be noted that 30 (15%) are masters. 35 (17.5%) holds bachelor
degree. 41 (20.5%) are intermediate, 32 (16%) are matic. 31 (15.5%)
are under matric and 31 (15.5%) are illiterate.
0
100
200
Marital status
Series1 147 53
Single married
Above figure depicts the marital status of respondents. According to figure 147 (73.5%)
respondents are single and 53 (26.5%) respondents are married.
92
0
50
100
No. of children
Series1 67 57 55 20
zero one-two three- five or
From the above figure it is clear that 67 respondents (33.5%) have no children, 57
respondents (28.5%) have 1-2 children, 55 respondents (27.5%) have 3-4 children and 20
(10%) have 5 or more children.
0
50
100
Occupation
Series1 12 25 29 65 10 44 15
Non driv Swe lab peo Sch Oth
It is clear from above figure that 12 (6%) have no occupation, they survive on zakat,
charity and occasional labor. 25 (12.5%) were driver, 29 (14.5%) were sweeper, 65
(32.5%) were labor, 10 (5%) were peon, 44 (22%) were school teacher and 15 (7.5%)
belongs from other professions such as clerk, accountant, computer operator etc.
93
94
Pattern of micro credit utilization (n=200)
Mean + SD Range
Training and education program
Have you involved in any kind of training or
education?
77.5+ 20.5 29
Do you feel that by training and education living
standard can be improved?
77.5+4.94 7
What do you think training or education is expense or
asset?
77.5+4.94 7
Have any of your children is getting any kind of
training or education?
77.5+14.84 21
Do you think training or education is a way to solve
your problems?
77.5+55.86 79
If opportunity of free education or training is provided
to you, will you avail it?
77.5+65.7 93
Clean water and hygienic environment
Do you have clean drinking water and hygienic
environment?
77.5+36 51
Do most of diseases you people bear are because of
unclean water and unhygienic environment?
77.5+77 109
Is clean water and hygienic environment always
available to you?
77.5+60 85
Do you have proper sanitation system? 77+31 44
Do you have to face water shortage? 77.5+62.9 89
95
Is drinking water available to you at home or you had
to bring it from some other area?
77.5+37.4 53
Nutrition/adequate Food
Do you have enough food every day? 77.5+4.9 7
Do you feel difficult to manage food expenses? 77.5+41 59
What is your daily average expense on food? 38.7+2.87 7
Is there any day you live without food? 77.5+6.3 9
Have you ever felt uncertain about whether I will get
next time meal or not?
77.5+13.4 19
What do you mostly eat? 71.6+36.5 95
Accommodation
Do you have your own home, or it is rented? 77.5+9.1 13
Is your house enough for family members? 77.5+17.6 25
What type of house it is? 77.5+20.5 29
Is your house strong enough to bear thunderstorm or
any other kind of natural disaster?
77.5+20.5 29
Does your house have basic necessities such as bed,
chair and electricity?
77.5+88 125
Do you have enough rooms, or you all live in one
room?
77.5+48.7 69
Income
Is your income enough for family members? 77.5+47.3 67
Is your income enough to bear any uncertain
expenses?
77.5+45.9 65
Are you the only earner of the family? 77.5+17.6 25
What is your total family income? 38.7+31.4 75
Is your income enough to bear recreational activities 77+46.6 66
96
for children?
Do you want some other sources of income? 77.5+77 109
Savings
Do you encourage savings? 77.5+96.8 137
Are you able to save, or it is difficult for you? 77.5+ 47.3 67
Do you have savings for rainy days? 77.5+ 34.6 49
How much part of income do you save? 38.7+ 37.8 83
What is the objective of your savings? 40.5+ 15.7 36
Do you want to invest your savings in any form of
business?
77.5+ 30.4 43
How do you see the difference in your life after micro
credit utilization?
26+29.7 87
97
Graphical representation of factors showing poverty reduction
Training and education program
0
20
40
60
80
100
Have you involved in any kind of the training?
Series1 63 92
Yes No
From above figure we can see that 63 respondents 40.6% were involved in training and
92 respondents 59.3% were not involved in any kind of training or education program.
That training in which 63 respondents were involved was related to Auto workshop,
mobile repairing etc.
98
70
75
80
85
Do you feel that by training or education you can improve your living standard?
Series1 81 74
Yes No
From the above figure it is clear that 81 respondents (52.2%) think that through training
or education they can improve their living standard. And 74 respondents (47.7%) say that
training or education cannot improve their living standard.
70
75
80
85
Do you think training or education is an expense or an asset?
Series1 81 74
Expense Asset
From above figure we can see that 81 respondents (52.2%) think that training or
education is an expense and 74 respondents (47.7%) says that training or education is an
asset.
99
0
50
100
Have any of your children getting any kind of training or education?
Series1 88 67
Yes No
88 respondents (56.7%) are giving training and education to their children and 67
respondents (43.2%) are not giving training and education to their children.
0
50
100
150
Do you think training or education is a way to solve your problems?
Series1 117 38
Yes No
Above figure depicts that 117 respondents (75%) thinks that training or education is a
way to solve your problems. and 38 respondents (24%) don’t think that training or
education is a way to solve problems.
100
0
50
100
150
If opportunity of free education and training is provided to you, will you avail it?
Series1 124 31
Yes No
We can see from above figure that 124 respondents (80%) say that if opportunity of free
education and training is given to them they will avail it.
101
Nutrition and adequate food
70
75
80
85
Do you have enough food every day?
Series1 81 74
Yes No
It is clear from the above figure that 81 respondents (52.2%) have enough food every day
and 74 respondents (47.7%) don’t have enough food every day.
102
30
32
34
36
38
40
42
What is your average daily expense on food?
Series1 39 42 39 35
100 150 200 Other
We can see that 39 respondents (25%) have 100 daily average expenses on food, 42
respondents (27%) have 150 daily average expenses on food, 39 respondents (25%) have
200 daily average expenses on food and 35 respondents (22.5%) have other expenses
such as 250 etc.
65
70
75
80
85
Is there any day you live without food?
Series1 82 73
Yes No
103
82 respondents (53%) live without food some times, and 73 respondents (47%) have not
faced such situation of living without food.
0
50
100
150
Do you feel difficult to manage food expenses?
Series1 107 48
Yes No
Above figure depicts that 107 respondents (69%) feel difficult to manage food expenses
and 48 respondents (31%) don’t feel it difficult.
0
50
100
Have you ever felt uncertain about whether i will get next time meal or not?
Series1 87 68
Yes No
104
87 respondents (56%) are uncertain about whether they will get next time meal or not and
68 respondents (43.8%) are not uncertain about whether they will get next time meal or
not.
0
50
100
150
What do you mostly eat?
Series1 108 95 68 47 99 13
Fresh chapatti
Meat LintelsStale
chapattiRice Other
Large number of respondents 108 (70%) eat fresh chapatti, 99 respondents (64%) eat
rice, 95 respondents (61%) eat meat, 68 respondents (44%) eat lintels, 47 respondents
(30%) eat stale chapatti and 13 respondents (8%) eat other things such as vegetables.
105
Clean water and hygienic environment
0
50
100
150
Do you have clean drinking water and hygienic environment?
Series1 52 103
Yes No
Only 52 respondents (33.5%) have clean drinking water and hygienic environment and
103 respondents (66.4%) don’t have clean drinking water and hygienic environment.
0
50
100
150
Do most of the diseases you people bear are beacuse of unclean water and unhygienic environment?
Series1 132 23
Yes No
106
A huge part of the sample 132 respondents (85%) thinks that most of the diseases they
people bear are just because of unclean water and unhygienic environment and only 23
respondents (15%) thinks that unclean water and unhygienic environment has no concern
with their diseases.
0
50
100
150
Is clean water and hygienic environment always available to you?
Series1 35 120
Yes No
35 respondents (22.5%) say they have clear water and hygienic environment always
available to them but a major part of sample 120 respondents (77.4%) don’t have clean
water and hygienic environment always available to them.
107
0
20
40
60
80
100
Do you have proper sanitation system?
Series1 55 99
Yes No
Above figure depicts that 55 respondents (35%) have proper sanitation system but 99
respondents (64.8%) don’t have proper sanitation system.
0
50
100
150
Do you have to face water shortage?
Series1 122 33
Yes No
A large part of sample 122 respondents (78.7%) face water shortage and only 33
respondents (21.2%) don’t face it.
108
0
50
100
150
Is drinking water available to you at home or you had to bring it from some other area?
Series1 51 104
Available at home Not available at home
Only 51 respondents (33%) have drinking water available at home and 104 respondents
(67%) respondents have to bring it from other places.
109
Accommodation
60
65
70
75
80
85
Do you have your own house, or it is rented?
Series1 71 84
Own Rented
71 respondents (46%) have own house and 84 respondents (54%) are living in rent
houses.
110
0
20
40
60
80
100
Is your house enough for family members?
Series1 65 90
Enough Not enough
For 65 respondents (42%) their house is enough for their family members and for 90
respondents (58%) their house is not enough for their family members.
0
20
40
60
80
100
What type of house it is?
Series1 63 92
Mud house Stone house
63 respondents (40.6%) live in mud house and 92 respondents (59.3%) live in stone
house.
111
0
50
100
Is your house strong enough to bear thunderstorm or any other natural disaster?
Series1 92 63
Strong enough Not enough
92 respondents ((59.3%) have strong enough houses to bear natural disasters and 63
respondents (40.6%) don’t have such strong houses.
0
50
100
150
Does your house have basic necessitities?
Series1 140 15
Yes No
140 respondents (90%) have basic necessities such as electricity, bed, chair and only few
respondents 15 (10%) don’t have these facilities.
112
0
50
100
150
Do you have enough rooms or you all live in one room?
Series1 43 112
Enough One
Only 43 respondents (27.7%) have enough rooms for their family and 112 respondents
(72.2%) live in one room.
113
Income
0
50
100
150
Is your income enough for family members?
Series1 44 111
Enough Not enough
Only 44 respondents (28%) have enough income for their family and large number of
respondents 111 (71.6%) don’t have enough income for their family.
114
0
50
100
150
Is your income enough to bear any uncertain expenses?
Series1 45 110
Enough Not enough
Only 45 respondents (29%) have enough income to bear any uncertain expenses such as
sudden guest, child gets ill, breakage of any property such as house due to thunderstorm,
earthquake etc. and 110 respondents (70.9%) don’t have enough income to bear such type
of uncertain expenses.
0
20
40
60
80
100
Are you the only earner of the family?
Series1 90 65
Yes No
115
90 respondents (58%) are the only earner of their family and 65 respondents (41.9%) are
not the only earner, their children are also working (boys are working in auto workshops,
girls are working in houses), women are working in houses, in schools.
0
20
40
60
80
What is your total family income?
Series1 5 42 28 80
2000 4000 6000 Other
5 respondents (3.2%) have only 2000 income, 42 respondents (27%) have 4000 income,
28 respondents (18%) have 6000 income, and 80 respondents (51.6%) have income more
than 6000.
0
50
100
150
Is your income enough to bear recreational activities for children?
Series1 44 110
Yes No
116
Only 44 respondents (28.3%) have enough income to bear recreational activities for
children and 110 respondents (70.9%) don’t have enough income to bear recreational
activities for children.
0
50
100
150
Do you want some other source of income?
Series1 132 23
Yes No
A large number of people 132 (85%) want other sources of income and only 23
respondents (14.8%) don’t want other sources of income.
117
Savings
0
50
100
150
Do you encourge savings?
Series1 146 9
Yes No
A large number of people 146 respondents (94%) encourage savings and only 9
respondents (5.8%) don’t encourage it.
0
50
100
150
Are you able to save or it is difficult for you?
Series1 44 111
Able Difficult
118
Only 44 respondents (28.3%) feels that they are able to save and 111 respondents
(71.6%) feels saving as a difficult task for them.
0
50
100
150
Do you have savings for rainy days and any natural disaster?
Series1 53 102
Yes No
Only 53 respondents (34%) have savings for rainy days and any natural disaster and 102
respondents (65.8%) don’t have any savings for rainy days.
0
20
40
60
80
100
How much part of income do you save?
Series1 32 18 11 94
5% 10% 15% None
119
A large number of respondents 94 (60.6%) have no savings , 32 respondents (20.6%)
have only 5% savings, 18 respondents ( 11.6%) have only 10% savings and 11
respondents (7%) have 15% savings.
0
20
40
60
80
What is the objective of your savings?
Series1 62 42 32 26
To meet
For future
For children
Other
62 respondents (40%) claim that they do savings to meet any uncertain crisis in future.
42 respondents (27%) do savings for future use; if they are left with nothing, 32
respondents ( 20.6%) do savings for children welfare, 26 respondents do savings for other
purposes such as Hajj, marriages, etc.
120
0
20
40
60
80
100
Do you want to invest your savings in any form of business?
Series1 99 56
Yes No
99 respondents (63.8%) want to invest their savings in any form of business such as
rickshaw, taxi; shop etc. and 56 respondents (36%) don’t want to invest their savings in
any kind of business.
Impr
ove
acco
mm
odat
ion
Cle
an w
ater
and
hygi
enic
envi
ronm
ent
Incr
ease
inco
me
Incr
ease
savi
ngs
Ade
quat
e fo
od
Tra
inin
g an
ded
ucat
ion
Oth
er
S1
How do you see the difference in your life after utilizing micro credit?
121
We can see from above figure that 90 respondents (58%) see improvement in their
accommodation, 29 respondents (18.7%) see increase in their income, 27 respondents
(17.4%) see improvement in training and education, 14 respondents (9%) see increase in
savings, 11 respondents (7%) see improvement in their life in a way that they utilize
micro credit to pay their debt, to start business, marriage, treatment of disease, operations.
8 respondents (5.1%) say that they get adequate food after micro credit utilization. and
only 3 respondents (1.9%) see that they get clean water and hygienic environment after
micro credit utilization.
As we can see from above data analysis that after micro credit utilization 63 respondents
were engaged in training program which is 40% of the total sample which is less than
those 92 respondents which is 59.3% of total sample taking micro credit which are not
engaged in training and education program. But it is a good sign that 81 respondents
which is 52.2% of total sample using micro credit thinks that through training or
education they can improve their living standard but still they consider it as an expense
for them not an asset. which is more than 74 respondents which is 47.7% of those people
who do not think so that training or education is a way to improve living standard and 74
(47.7%) think it as an asset. also it is a positive sign that 88 respondents which is 56% of
total sample taking micro credit is giving their children training or education which is
more then 67 people which is 43% of total sample who are not giving their children
training or education.124 people(80%) who are ready to get training or education if they
get an opportunity to get free training or education. This ratio is more than only 31 people
(20%) who are not willing to get it.117 people (75%) consider training or education a
way to solve problems on other hand only 38 people (24.5%) don’t think it a way to solve
problems.
So; from above description it can be concluded that
H1: Training and education plays an important role in poverty reduction.
This hypothesis is proved.
Now; 103 respondents ( 66%) don’t have clean water and hygienic environment. Only 52
respondents have it which is 33.5% of total sample taking micro credit.132 respondents
122
(85%) thinks that most of the diseases they bear are just because of unclean water and
unhygienic environment.
120 respondents (77%) don’t have clean water and hygienic environment available to
them. 99 respondents (63.8%) don’t have proper sanitation system.122 respondents face
water shortage. 104 respondents (67%) don’t have drinking water available at home, they
have to bring it from some other place.
So; from above discussion it is clear that
H0: Clean water and hygienic environment has an impact on poverty reduction.
This hypothesis is proved.
If we see towards nutrition and adequate food We see that 81 people out of 155 (52.2%)
have enough food every day. but 107 respondents (69%) feels difficult to manage food
expenses.82 people (52.9%) experiences such days where they live without food.87
people (56%) feel uncertain about whether they will get next time meal or not. Its a good
sign that 108 people (69.6%) used to eat fresh chapatti and 99 people (63.8%) eat rice, 95
people (61%) used to eat meat.68 people (43.8%) used to eat lintels, 47 people (30%) eat
stale chapatti and 13 people (8.3%) eat vegetables.
It is a good sign that majority of the people have a good diet but the problem is that this is
not on regular basis as explained above 52.9% people live without food often.
From the above description it can be concluded that
H1: Nutrition and adequate food is an important player of poverty reduction.
So; H1 is accepted.
Now; we see that 84 people ( 54%) live in rented houses, 90 people (58%) claims that
their house is not enough for their family members, it is a good sign that 92 respondents
(59.3%) live in stone house and their house is strong enough to bear thunderstorms or
any other kind of natural disasters and 63 people (40.6%) live in mud house and their
house is not strong enough to bear thunderstorms or any other kind of natural disaster.140
people (90%) have basic necessities in their house such as electricity, bed, chair. But
unfortunately 112 people (72%) live in one room house.
From above discussion it can be concluded that
123
H1: Accommodation has an important concern with poverty reduction.
So; H1 is accepted.
If we look at income we see that 111 people ( 71.6%) claims that their income is not
enough for family members and 110 people (70.9%) claim that their income is not
enough to bear any uncertain expenses such as sudden guest, child gets ill, breakage of
any property such as house due to thunderstorm, earth quake etc, and also they cannot
afford recreational activities for their children.90 people (58%) are the only earner of
their family.132 people ( 85%) want some other source of income.
So; we can conclude from above discussion that
H1: Income plays an important role in poverty reduction.
This hypothesis is proved.
Last factor of poverty reduction in my study is Savings.
146 people (94%) encourage savings but 111 people (71.6%) feels difficult to do saving
and 102 people (65%) don’t have any savings for rainy days.
So; we can say that
H1: Savings plays an important role in poverty reduction.
So; this hypothesis is accepted.
Overall we can say that Training and education, clean water and hygienic environment,
Nutrition and adequate food, accommodation, Income and Savings are important factors
of poverty reduction. Because when a person has training and education he can improve
his living standard, training can be of any type; auto workshop, mobile repairing etc he
can earn in better way, if a person has clean drinking water and adequate food he will be
safe from various diseases, he will be healthy and can work in a better way, if his
accommodation is better and enough for family members and strong enough from natural
disasters he can live in better way. and obviously if his earning is good and enough for
family, he can also provide recreational activities to his children and can also afford
uncertain expenses such as sudden guest etc and can also do savings for future then all
these things point towards a good life, life with a good living standard and a life above
124
poverty line. So; all above mentioned factors plays an important role in poverty
reduction.
125
Chapter 5
MAKE MICRO CREDIT MORE EFFECTIVE AND USEFUL
IN POVERTY ALLEVIATION
Poverty reduction is not only the task of the Government and the whole society,
but it is first of all the responsibility of the poor themselves to develop the
capacity to escape from poverty.
Although it is the responsibility of government to help eliminate social and
economic constraints and barriers in order to eliminate hunger and reduce
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poverty, the outcome will be weak if the poor themselves do not actively strive to
improve their living conditions.
Poverty reduction must be seen as the mission of poor people and poor
communities themselves; because it is their own self help efforts to escape from
poverty that is the driving force and necessary condition for attaining the goal of
poverty elimination in all countries.
The State will support the poor to enable them to learn how to escape from
poverty and avoid falling back into poverty when risks befall them. Apart from
providing direct material support to the poor, providing them with guidance on
how to produce and do business and how to develop their economic activities,
given their particular conditions and circumstances, is the very condition for rapid
and sustainable achievement of poverty reduction.
Although micro credit is a good concept but Micro finance institutes in Pakistan
are making people more dependent then independent. People know that when they
will need money they can take it from micro credit institutions easily and will
return amount back on small interest. People of Pakistan are like that; If you
walked down the street and gave every passerby rupees hundred, many would just
spend it right away or gamble it rather than managing it and trying to make it
grow .I would say that purpose of micro credit institution should be to make
people independent not dependent, to make them able to set any source of income
for their family.
Poverty reduction objectives should be consistent and visionary: the goal should
be to not only improve the living standards of the people, but also to create
opportunities and a legal foundation for improving the Poor’s intellectual level
and sense of law compliance to enable their participation in the economic,
political and social life of the nation. State policies and mechanisms should not
only focus on fighting against poverty but also on preventing the falling back
again into poverty.
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First of all micro credit institutions should brief clients that what can be the best
use of this credit. For example in Muslim Colony, Dhok Kala Khan,
Tehmaspabad and Shakrial clients can keep cows and sell its milk, hens and can
sell its eggs, open shops, sew cloths and drive taxi, rickshaw.
Micro credit system can be improved in such a way (for above mentioned areas
and can be implemented in other areas as well) that micro credit institutions can
do a contract with companies like BATA and Unilever. Suppose micro credit
institution do a contract with BATA. Micro credit institution gives credit to their
client he then purchase BATA sandals and sell them in his area. This method will
be beneficial for both company and client.
With Unilever a contract can be made that a person takes credit from micro credit
institutions and purchase sachets of soap, toothpaste and shampoo of Unilever and
sell them in his area.
For female Clients micro credit institutions can make a contract with boutiques
and clients can take credit from micro credit institutions purchase a sewing
machine and can sew cloths for boutiques and can earn income for their family.
Through this they can earn enough to return credit.
Micro credit institutions should hire training managers or they should do
partnership with those institutions that will be core staff, equipped with basic
knowledge and qualified to brief people and their duty will be to train customers
with fewer fees for the purpose they are taking credit. In one specific area for
example Dhok Kala Khan mostly trend is to take taxi. So; in this area micro credit
institution should hire training managers (expert in driving) or they can do
partnership with driving centers who will train them drive. Otherwise credit will
be of no use. Let’s say customer is taking money to purchase a taxi but he doesn’t
know driving then there is no use of that credit. First he has to learn how to drive
by paying heavy fee to driving centre but through micro credit trainers he will
learn driving in less than half fee.
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Other important issue is Monitoring. Micro credit institutions should have a
proper monitoring system.
Such a system has to be made in which a proper record has to be prepared that for
what purpose credit is taken it is used for that purpose or not. If not then why it is
not used for that purpose? For which purpose it is used then?
If it used for one time investment only such as motor bike, radio, television then
restrict them and make a condition that credit will be only given for income
generating purpose. This amount cannot be used for any other purpose.
For this purpose certificate should be signed that “I will use this amount for this
purpose” and at the time when the customer is returning loan he has to show its
receipt which will prove that credit is used for the purpose it is taken.
Micro credit can also play an important role in poverty alleviation in the form of
community.
For example there are two houses. They collectively take loan and distribute
duties. Let’s say they purchase hen and decides to sell eggs. Now, one house takes
responsibility of marketing and other house takes responsibility of selling. And
they share profit and collectively return loan.
Beggars are also major part of Pakistan’s population which is totally ignored to
become an effective part of the society. Micro credit institutions should also
recruit beggars as their customers and turn them into a sales force. They can offer
small interest free loans of about $12 which beggars can use to purchase “cookies
or toys” which can be sold. The loan can be paid back at anytime.
In this way micro credit institution can play an important role in poverty
alleviation and making people able to earn for their family.
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130
Chapter 6
In this section the prominent findings of the research will be discussed,
comparison of results with other researchers and conclusions are drawn from the
results obtained.
Discussion and conclusion
Discussion
Comparison of results with other researchers
131
According to Zahid Shahab Ahmed (Pakistan) POVERTY ALLEVIATION
THROUGH MICRO CREDIT
Value of significance shows (Table: 11) that there is a significant association
between respondents’ age and their economic status after utilizing the micro-
credit. Also it has been found that micro credit beneficiaries from all the age
groups had improvement to their economic status after utilizing the micro-credit.
There is also a significant association between respondents’ total number of
family members and their economic status after utilizing the micro credit. It has
been found that the beneficiaries with smaller family size had significant increase
to their economic status after utilizing credit as compared to those having greater
family size. This could be due to less economic pressure on the smaller families.
There is also a significant association between respondents’ monthly household
income and their economic status after utilizing the micro credit. Further, it has
been found that respondents’ with greater monthly household income had better
economic status after utilizing the credit, as compared to those with lesser
monthly household income.
Associations Economic status after micro
credit utilization
Chi-square d.f. Significance Gamma
Age 12.470 6 0.050 -0.449
Family size 8.157 3 0.043 0.102
Total income
after credit
11.990 3 0.007 0.620
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utilization
Table: 11
Associations
According to Mohammad Jahangir Alam Chowdhury THE ROLE OF
MICRO-CREDIT IN ALLEVIATION OF POVERTY: A STUDY OF THE
GRAMEEN BANK IN BANGLADESH shows better results in favour of
program households in terms of school attendance of 6 to 13 years old children
compared to that of comparison households, but the chi-square value does not
reject the null hypothesis on school attendance of 6 to 13 years old children.
Therefore, there is no significant difference between the program households and
the comparison households in terms of ‘school attendance of 6 to 13 years old
children in the household’. The t-test result rejects the null hypothesis on ‘yearly
133
educational expenditure’ i.e. there is a significant difference between the program
households and comparison households in terms of ‘yearly educational
expenditure’. It means that micro-credit increases entitlement of program
households on education through increasing capability to spend more on
education of children. The chi-square result rejects the null hypothesis on
‘households reporting sick children’. The rejection of the null hypothesis means
that there is a significant difference between the program households and the
comparison households in terms of fewer than five sick children. The sickness of
an under five child indicates the malnutrition of that child and it also indicates
lack of enough capability of the parents of that child to provide required nutritious
food to the child. The rejection of the null hypothesis on ‘under 5 sick children’
indicates that program households have higher capabilities to provide required
nutritious food to their under 5 children. The t-test result rejects the null
hypothesis on yearly household medical expenditure, i.e. there is a significant
difference between the program households and comparison households in terms
of yearly household medical expenditure. This result reveals that program
households spend significantly higher amount of money on health and medical
purposes than that of comparison households. There is a significant difference
between the program households and comparison households in terms of the
immediate last medical advice taken by the households during the immediate last
sickness of a member of the household as the chi-square rejects the null
hypothesis. This means that program households have more ability to pay fees of
a qualified private practitioner and also have more ability to purchase medicine.
Therefore, the rejection of null hypotheses on fewer than five sick children, the
average yearly medical expenditure of households and the immediate last medical
advice indicates that micro-credit increases entitlement of program households on
health through increasing the capabilities of program households to spend more
on health. The impacts of micro-credit on shelter have been assessed through
comparison of different indicators related to shelter of program households with
134
those of comparison households. For analyzing the shelter status of program
households and comparison households, four indicators related to shelter have
been used. These four indicators are (a) the average total area of living space, (b)
housing condition (roof), (c) housing condition (side-wall) and (d) the average
value of dwelling houses. It shows that a program household (00.76% of program
households) and a comparison household (00.78% of comparison households)
have a permanent roof. 71.32% of program households and 77.10% of
comparison households have a roof of tin. 8.53% of program households and
2.29% of comparison households have a roof of partially tin and partially leave.
19.37% of program households have a roof of leaves only. On the other hand,
19.85% of comparison households have a roof of leaves only. It shows the
condition of side-walls of dwelling houses. It shows that program households
have better status in terms of the condition of side-walls than that of comparison
households. While 15.50% of program households have permanent side-walls, the
percentage share decrease to 6.11% for comparison households has permanent
side-walls. From the perspective of side-walls of tin, 4.65% of program
households and 2.29% of comparison households have this type of side-walls, i.e.
tin. It also shows that 13.95% of program households and 18.32% of comparison
households have side-walls of bamboo fence, 3.88% of program households and
5.34% of comparison households have side-walls of leaves, and 67.94% of
program households and 62.02% of comparison households have side-walls of
mud. It shows the present market value of dwelling houses of households. The
average value of the dwelling houses of program households and comparison
households are Taka 36298 and Taka 21950 respectively. The average value of
dwelling houses of program households is 65% higher than the value of the
comparison households. It shows that t-test result rejects the null hypotheses on
the average total area of living space of households and the average value of
dwelling houses. The chi square value rejects the null hypothesis on the condition
of side-walls of dwelling houses of households. Therefore, the rejection of null
135
hypotheses means that program households have significantly higher average area
of living space, higher\ average value of dwelling houses and better condition of
side walls of dwelling houses than that of comparison households. It indicates
program households have higher entitlement on shelter compared to comparison
households. It shows the weekly food consumption expenditure of households.
The average ‘weekly food consumption expenditure’ of program households is
Taka 858.58 and the average ‘weekly food consumption expenditure’ of
comparison households is Taka 588.85. The average ‘weekly food consumption
expenditure’ of program households is 46% percent higher than the average
‘weekly food consumption expenditure’ of comparison households. It shows the
availability of food of program households and comparison households. The
program households can arrange enough food for the members of the household
on an average 11.58 months of a year. On the other hand households can arrange
food for the members of the household on an average 9.31 months of a year.
These two averages demonstrate that food is more available in program
households than comparison households. The co-efficient of variation of
‘availability of food in months’ of program households and comparison
households are 0.13 and 0.26 respectively. It shows the distribution of
‘availability of food in months’ of households. The distribution also shows better
distribution for program households. While 62.60% of comparison households
have food deficit, only 10.86% of program households have food deficit. It shows
that the t test value rejects the null hypothesis on ‘weekly food consumption
expenditure’ and ‘food availability of households’.
According to Adeolu B. Ayanwale and Taiwo Alimi MICRO FINANCING AS
A POVERTY ALLEVIATION MEASURE Results of the salient socioeconomic
characteristics of the respondents are presented in Table 1 below. Most (48.44
percent) of the respondents fall in the age range 41-50 years, while about 70
percent fall between 31 and 50 years of age. The recipients are relatively young
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and in their productively active years. The gender distribution is almost equal
since a simple random sample produces an almost equal number of male and
female. Thus we can assert that FADU loan scheme is gender sensitive.
Most of the respondents (39.0 percent) have a family size of between 5 and 8
people, with the average family size of 10 people.
The average number of years spent in formal institution is three and a half years.
Most of the respondents (34.37 percent) completed their secondary school
education, while only (14.06 percent) had no formal education. Furthermore most
(32.81 percent) of the respondents have less than 10 years of farming experience.
The implications of these socio-economic characteristics are that “the FADU
beneficiaries are educated, young and have an average family size of 10. The fact
that they are educated means they will be able to keep farm record, since
education enables farmers to keep production and farm records and therefore
boosts farm output.
FADU encourages her beneficiaries to save. Table 2 shows the savings patterns of
the respondents. Most (32.81 percent) of the respondents save between N1000
and 2000 per annum, altogether about 60 percent of the respondents saves
between N11000 and N30000 per annum. The average amount of savings is N27,
530.00 which was about 68 percent of the mean amount of loan requested, which
was N40, 250.00.
Table 1: Socio-economic characteristics of respondents
Variable Frequency % age Mean
Age (years) 5 3.05
21-30 36 21.95
31-40 79 48.17
137
41-50 41 25
51-60 3 1.83
>60 164 100
Total 46.28
Sex
Male 89 54.27
Female 75 45.73
Total 164
Family size
4 Jan 10 6.1
8 May 64 39.02
12 Sept 54 32.93
13-16 26 15.85
> 17 10 6.1
Total 100 10
Education level
No formal
education
23 14.02
Primary school
completed
36 15.85
Primary school
not completed
8 4.88
Secondary school 56 34.15
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completed
Secondary school
not completed
18 10.98
Territory 23 14.02
Total 164 100 3.52
Source: Analysis of Field Survey Data (2002)
Table 2: Resource availability of the respondents
Variable Frequency % age Mean
Savings
None 23 14.02
< 10,000 53 32.32
Nov-00
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21-3000 44 26.83
31-4000 8 4.88
41-5000 10 6.1 46.28
>50,000 13 7.93
Total 164
Amount of loan
requested
27530.0
< 30,000 75 45.73
31-60,000 75 45.73
> 60,000 14 8.54
Total 164
Amount of loan
granted
40245
< 10,000 46 28.04
10,000-20,000 16 9.76
21,000-30,000 75 45.73
31,000-40,000 19 11.59
> 40,000 8 4.88
Total 164 38,000
Most (45.90 percent) of the respondents have between N21000 and N30000
granted to them as loan out of the amount requested. Since the beneficiaries are
compelled to save to obtain credit line, both the lender and the borrower will
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benefit for the scheme, being stakeholders they will ensure a success of the
venture.
The average amount of loan granted N38, 000 is 94.44 percent of the average
amount of loan requested. FADU loans are short time loans that are repayable
within one production season, where most (65.57 percent) of the loan obtained is
repayable between 4 to 6 months.
Table 3: Loan repayment time
Repayment time
(Months)
Frequency Percentage
4-6-Apr 108 65.85
7-9 Jul 46 28.05
10-12 Oct 10 6.10
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Total 164 100
Table 4 shows the various forms of assistance given by FADU to her loan
beneficiaries. These forms of assistance encourage monitoring and enable the
NGO to assess the repayment ability of the borrower on time with a view to
intervene at critical periods to prevent default. The FADU takes special interest in
monitoring the loan utilization and repayment as reported by most (31.10 percent)
of the respondents. Training and evaluation of the funded project was also a very
important form of assistance as reported by 23.17 percent of the beneficiaries
each. The reported forms of assistance may be responsible for the success of the
FADU loan scheme. The specific forms of assistance may need to be noted by
other bodies involved in micro credit delivery to enhance their effectiveness and
possible efficiency.
Table 4: FADU’s assistance to farmers after Loan
Form of
Assistance
Frequency Percentage
Monitoring and
training
38 23.17
Monitoring loan
repayment and
utilization
51 31.10
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Evaluation
process
38 23.17
Technical
assistance
6 3.66
Distribution of
requested
farm needs
21 12.80
None 10 6.10
Total 164 100.00
Table 5 shows the breakdown of the socioeconomic characteristics of the
respondents by gender. From the table, it could be observed that the women
beneficiaries are younger in age 29 years compared with 35 years for men, have
more years a formal education 3.72 years compared with 3.34 years for men. The
women have less years of farming experience 14.28 years while men had 22.94
years of experience. Furthermore, women have lower number of children (about
two) while men had about three children on the average. In terms of access to
productive resources, more women purchase land than men, although more men
obtain land by lease, rent and gifts than the women.
In other words access to land by women is more by outright purchase than any
other means; women have restricted access to land as a productive venture, except
they want to purchase it outright which is costlier. Women seem to have less
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family size (about eleven) than men (about twelve), maybe because men are prone
to polygamy and as a consequence have more children.
Women have more hoes and cutlass (7.92) than men (5.50) on the average, and,
men make use of tractors more than women. This may be because women have
smaller farm size than men, hence may not need the service of tractors.
Women obtained more loans (N36900.00 from FADU, and N25840 from
Cooperatives) on the average than men (N32500 from FADU and N25000 form
Cooperatives). Although men have more of their loan request granted (61.13
percent) than women’s (57.90 percent), women obtain more loan (N24660) than
men (N23310) absolutely.
The World Bank had prescribed a threshold income of $1.00 per day as poverty
line. Results of the study showed that men reported a mean income of $751.76,
while female reported an income of $326.72. These figures are above the World
Bank’s minimum threshold income of $1.00 per day. This is encouraging given
the reported widespread prevalence of poverty in the country. The amount of
savings also reported translated to about $220.24 per annum which is an
indication of the success of the FADU’s savings mobilization effort.
The amount of income obtained by the FADU beneficiaries also indicated an
improvement when compared with the reported national average income level of
N3, 770. Obtained in 1997 (CBN 1999). Furthermore, the threshold income of
FADU’s potential beneficiaries was put at $260 per annum. If we compare the
average annual income obtained by the beneficiaries the mean annual income
obtained $721.76 by men and $326.72 by women to the national average income
we can safely assert that the welfare of beneficiaries has improved.
Table 5: Gender analysis of FADU beneficiaries
Male Female
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Characteristics Mean T ratio
Gender 89 75
Age (years) 48.69 43.38 2.905*
Educational
level
3.34 3.72 -0.918
Farming
Experience
(YRS)
22.94 14.28 3.330*
Rent land 8.315 0.235
Purchase land 15.89 60 -2.792
Lease 19 10 1.069
Gift 1.83 1.72 0.998
Family size 11.75 10.5 0.26
No. of children 2.32 1.71 1.803*
Hoes 4.46 5.48 -1.456*
Cutlass 5.50 7.92 -1.710*
Tractor 1.37 1.17 1.779
Amount spent
on food
2263.64 2065.52 0.671
Amount spent
on children
education
6152 3850 0.677
Amount of loan
obtained
25 25.84 3.856*
145
cooperative
from N’000
Amount of loan
obtained from
FADU
32.50 36.9 2.005*
Income
obtained from
operations
93.97 40.84 3.013*
Loan requested
N’000
38.13 42.59 -0.731
Loan granted
N’000
23.31 24.66 -0.348
Amount of
contribution
N’000
1.44 1.74 1.230
Amount put in
cooperative
N’000
0.59 0.943 -0.935
Total Savings 35.88 17.45 2.775*
According to Sayeed Al Russel A SOCIAL AND FINANCIAL ASSESSMENT OF
MICROFINANCE FOR THE EXTREME POOR- A CASE STUDY FROM
BANGLADESH .It can be concluded from the data that micro credit has brought some
positive changes in the life of these people, mostly in terms of food consumption and
146
other expenditure. It has given more ‘options’ to the extreme poor people's lives and they
are trying to adapt with these options and changes to use them successfully in developing
their living condition. I think the most important change has occurred by creating
awareness in various sectors of their lives and these changes are related directly or
indirectly with micro credit. Almost all the children are attending primary school and
people are more serious about their education. Similar development can also be seen in
health sector like drinking water from tube well, using sanitary latrine, vaccination of
children etc. These changes have occurred not only by creating awareness by the
development organizations but also for their various supports and facilities provided in
these sectors. However, it can not be said that Micro credit has created similar
development in financial condition of all the people. Except the four families who have
permanent income during the whole year, others still have not been able to make stable
financial base from where they can start for gradual development. There was mention of
two families who left the village for being unable to pay the loan. Though Micro credit
has smoothed living expense and food consumption it has not been able to create a stable
financial security. From this perspective it can be said that micro credit has failed to serve
its main purpose for these people. Moreover, many claimed that there situation has
deteriorated since they started taking micro credit. They are now suffering from chronic
debt and have to remain worried all the time about weekly installment People are using
micro credit to pay loan from the traditional money lenders and at the same time they are
also taking loan from the local traditional money lenders to pay installment of the micro
credit. It was found that about sixty percent of the households are in debt to the local
money lenders. This has created a circle among the clients, micro credit NGOs, and the
local money lenders. The clients have developed a loan dependent living pattern. Many
clients asserted that they do not want to take micro credit unless they fall in problem and
they will try not to take any credit after repaying the existing loan. However, it was also
found that some households take credit just as soon as they have enough primary savings
(which makes them eligible for taking loan) without making any prior plan to use the
money for income generation.
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The distinct nature of the poverty of the extreme poor people is their vulnerable condition
and insecurity in life. Villagers said that they used to starve when they did not have any
money to buy food, now they are using micro credit to face these situations. From this
point their life has become less vulnerable to hunger or disease but they have become
trapped in loan.
As most of these extremely poor families have no regular permanent income or savings
and live from day to day basis it is not easy for them to use micro credit in the desired
way. Very often they fall in difficult situations like illness and food shortage when it
becomes priority to solve these problems any how. They have to take micro credit or sell
the investment of micro credit (rickshaw, cattle etc.) to meet the needs in these situations.
All the households have faced such situations from which it was very hard for them to
recover. In case if their micro credit investment (like rickshaw or cattle) gets stolen or
dies they have to suffer a lot to recover from the loss. “For them the loss of a chicken is
like the loss of a cow to a farmer” an NGO worker asserted. Besides the lack of
permanent income source there is also lack of skill in using capital successfully. It has to
be kept in mind that these people are living as agricultural laborer for a long time and
they have long established living pattern. With this they also have a cultural and
psychological construction about their life and ambition. The biggest problem of their life
is hunger and they are worried more about today than tomorrow. They try to use any kind
of opportunity to meet these problems first. Besides, changing from the life of a wage
laborer to a self employed entrepreneur requires ambition and skill. Especially the
management of the credit has to be learnt and it requires time to do that. While trying to
learn it is easy to make mistakes and suffer the consequences for the people who are not
oriented with such kind of practices. Thus micro credit, a powerful tool of development,
can bring the opposite of the desired result.
Conclusion
148
I have tried to assess the role of micro credit in poverty alleviation through the
comparison of living standard of borrowers before and after use of micro credit.
From data analysis it is concluded that the micro credit program is effective in giving
unemployed people employment such as taxi driver, shop keeper etc , and to meet short
term needs such as return debt taken from some one else, paying fee, operation, treatment
of disease etc.
Mostly borrowers of Muslim colony, Dhok Kala Khan, Shakrial and Tehmaspabad have
used micro credit to purchase taxi, sewing machine and opening small shop and
improving accommodation.
But I would say that although micro credit is working well for poverty reduction but still
it is not the only way on which we can depend. This method also needs improvement
which I have explained in previous chapter.
Reasons for improvement in this system are: micro credit is creating people tenser then
they were before. Most of the taxi drivers claim that “Before micro credit we slept
without meal but we were not tense about returning credit, or about this thing that we
have no place to park taxi inside house, we park it outside and we are worried that what
will happen if any of its mirror is broken as children used to play outside, what will
happen if someone steal it? These questions can’t make us sleep all night”
As Dr. Younis said that best customers for micro credit is females I agree with it because
females mostly used to sew cloths for their family and earn for them, it also gives them
empowerment and they are also good in management so they better manage to earn such
amount from which they return credit and also keep some money for their daily use. On
other hand some of the males used to spend some of the amount on their drugs, purchase
TV which is just a one time investment.
Still further research is needed in this area and I think it would be a good research
question that whether the poverty alleviation through micro credit in Pakistan is on
sustainable basis or is it a temporary phenomenon?
149
APPENDIX
150
When is Micro Credit needed?
When there is
151
Inadequate foodPoor housing conditionNo education for childrenNo medicine or treatment of diseaseNo employmentNo clear water and hygienic environmentNo savings for future
National university of modern languages
Role of micro credit in Poverty Alleviation
Dear Sir/Madam
No source of Income
152
Micro Credit
Your contribution in helping me to analyze “Role of micro credit in
Poverty Alleviation” is highly valued. Completion of this information is
voluntary and confidentiality is assured. No individual data will be reported.
Gender ( ) Male ( ) Female
Age ( ) 20yrs or below ( ) 21-30yrs
( ) 31-40 yrs ( ) 41-50yrs
( ) above 50yrs
Education ( ) Master ( ) Bachelor
( ) Intermediate ( ) Matriculation
( ) Under matric ( ) illiterate
Marital Status ( ) single ( ) Married
No. of children ( ) 0 ( ) 1-2
( ) 3-4 ( ) 6 or more
Occupation ( ) None/Surviving on Zakat, charity and occasional
labor.
( ) Driver ( ) Sweepers
( ) Labor ( ) Peon
( ) School Teacher ( ) Other
Do you have any experience with micro credit?
153
( ) Yes ( ) No
If Yes, how long you been using it?
( ) less then 6 months ( ) 6 months
( ) 1 year ( ) more then 1 year
What is the total amount of micro credit you have taken so far?
( ) 2000 ( ) 4000
( ) 6000 ( ) other
What did you do with the money?
( ) Open shop or purchased taxi, rickshaw, sewing machine
( ) Improve accommodations
( ) Invest in children education
( ) Other
Will you take more credit after paying the current due?
( ) Yes ( ) No
Are you satisfied with the government policies of granting loan?
( ) Yes ( ) No
Are you satisfied with the bank policies?
( ) Yes ( ) No
Are you satisfied with interest rate you have to pay?
( ) Yes ( ) No
Have you ever had any problem in paying the weekly payment?
( ) Yes ( ) No
154
Does the money you borrow from micro finance bank cover your needs or
do you have to borrow from someone else?
( ) covers ( ) not covers
Do you think this system is perfect or it should be improved?
( ) perfect ( ) need improvement
Do you think this system is according to your demand?
( ) Yes ( ) No
Do you have clean drinking water and hygienic environment?
( ) Yes ( ) No
Do most of diseases you people bear are because of unclean water and
unhygienic environment?
( ) Yes ( ) No
Is clean water and hygienic environment always available to you?
( ) Yes ( ) No
Do you have proper sanitation system?
( ) Yes ( ) No
Do you have to face water shortage?
( ) Yes ( ) No
Is drinking water available to you at home or you had to bring it from some
other area?
( ) available at home ( ) not available at home
Do you have your own house, or it is rented?
( ) own ( ) rented
Is your house enough for family members?
155
( ) enough ( ) not enough
What type of house it is?
( ) mud house ( ) stone house
Is your house strong enough to bear thunderstorm or any other kind of
natural disaster?
( ) strong enough ( ) not enough
Does your house have basic necessities such as bed, chair, and electricity?
( ) Yes ( ) No
Do you have enough rooms, or you all live in one room?
( ) enough ( ) one
Is your income enough for family members?
( ) enough ( ) not enough
Is your income enough to bear any uncertain expenses (sudden guest, child
gets ill, breakage of any property (house) due to thunderstorm, earth quake
etc)?
( ) enough ( ) not enough
Are you the only earner of the family?
( ) Yes ( ) No
What is your total family income?
( ) 2000 ( ) 4000
( ) 6000 ( ) other
Is your income enough to bear recreational activities for children?
( ) Yes ( ) No
Do you want some other sources of income?
156
( ) Yes ( ) No
Do you encourage savings?
( ) Yes ( ) No
Are you able to save, or it is difficult for you?
( ) able ( ) difficult
Do you have savings for rainy days and any natural disaster?
( ) Yes ( ) No
How much part of income do you save?
( ) 5% ( ) 15%
( ) 10% ( ) none
What is the objective of your savings?
( ) to meet any uncertain crisis in future
( ) for future use, if you have nothing left with you
( ) for children welfare
( ) other
Do you want to invest your savings in any form of business (rickshaw, taxi,
shop etc)?
( ) Yes ( ) No
Have you involved in any kind of training (Auto workshop etc) or education
program?
( ) Yes ( ) No
Do you feel that by training or education you can improve your living
standard?
( ) Yes ( ) No
Do you think training or education is expense or asset?
157
( ) expense ( ) asset
Have any of your children getting any kind of training or education?
( ) Yes ( ) No
Do you think training or education is a way to solve your problems?
( ) Yes ( ) No
If opportunity of free education and training is provided to you, will you
avail it?
( ) Yes ( ) No
Do you have enough food every day?
( ) Yes ( ) No
Do you feel difficult to manage food expenses?
( ) Yes ( ) No
What is your daily average expense on food?
( ) 100 ( ) 150
( ) 200 ( ) other
Is there any day you live without food?
( ) Yes ( ) No
Have you ever felt uncertain about whether I will get next time meal or not?
( ) Yes ( ) No
What do you mostly eat?
( ) fresh chapatti ( ) stale chapatti
( ) meat ( ) rice
( ) lintels ( ) other
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How do you see the difference in your life after you started using micro
credit?
( ) improve accommodation ( ) clean water and hygienic environment
( ) increase income ( ) increase savings
( ) adequate food ( ) training and education
( ) Other Purpose
I grate fully acknowledge your time spent on this questionnaire.
Thank you!
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