An Examination of the Microcredit Movement
By Jason Meade
One day our grandchildren will go to museums to see what
poverty was like.
- Muhammad Yunus, founder of the Grameen bank, quoted in The
Independent 5 May 1996
This essay will examine the microcredit movement. It will begin
by explaining what microcredit is and how it functions. Microenterprise
clusters will also be defined. Some background on the current state
of the microcredit movement will then be given. The second section
of the essay will look at the benefits of microcredit and the advantages
of clustering microcredit financed enterprises. The third section
will look at the problems associated with microcredit and microenterprise
clusters. The essay will conclude with an analysis of the net effects
of microcredit and give some idea of its prospects for reducing
world poverty.
I. Definition and Background
Definition
Microcredit is the name given to extremely small loans
made to poor borrowers. A typical microcredit scheme involves the
extension of an unsecured, commercial-type loan at interest to a
poverty stricken borrower. The definition of poverty stricken varies
with the situation, but in Bangladesh the typical definition is
a borrower who owns less than 0.5 acres of land and relies on wages
for all income. Loans are disbursed in a group setting to poor borrowers,
with some amount of non-credit assistance also being made available.
The non-credit assistance typically ranges from skills training
to marketing assistance to lessons in social empowerment. (Khander,
1998)
Most microcredit programs are set up in the following way (description
taken from New Study Confirms Benefits of Bangladeshs
Microcredit Programs, 1998). Credit services are targeted
to landless or assetless borrowers, the moderately to extremely
poor. Borrowers are placed into groups of 10-20 people which meet
regularly with the loan officer of the microcredit program. These
groups of borrowers substitute for collateral and take over the
role of securing the loans dispersed. Each borrower in a group agrees
to be held liable for all debts incurred by any member of the group.
In the event that a borrower defaults, the other members of the
group are required to make up the amount in default. Borrowers are
encouraged or even required to monitor the behavior of one another
to make sure that no one is danger of default. This process has
led to extremely low rates of default, especially for first time
borrowers. Repayment rates are usually above 95%.
Extremely small business ventures, such as those financed with
microcredit loans, are known as microenterprises. Microenterprise
clusters are simply groups of microenterprises located in close
proximity to one another and engaging in similar business activities.
The beenfits of clustering will be outlined in a later section of
this essy. Clustering can either arise spontaneously, or as a result
of outside encouragement from government or NGOs.
Background
Most microcredit programs target women as the most desirable borrowers.
This is partly a result of a policy of social empowerment and partly
as a result of the perception that women have higher rates of repayment
than men. As noted above, loans are usually collateral free. Maturity
is normally 50 weeks with repayment in weekly installments. All
financial transactions are conducted in the presence of the entire
borrowing group and all transactions are recorded in individual
passbooks. Most microcredit programs begin with small loans, but
allow borrowers to take more and more as they repay each previous
loan and thus prove themselves good credit risks. Finally, borrowers
have full freedom to choose the activities to be financed. Loans
need not be spent only on investment; spending for consumption is
equally acceptable.
In broad terms all microcredit programs are working towards the
goal of decreasing income poverty and decreasing the vulnerability
of the poor. Microenterprise clusters claim to enhance these effects
by improving on the microcredit strategies. According to the supporters
of microenterprise clusters, clustering can solve many of the problems
associated with microcredit financed enterprises such as distance
from markets and inefficiency.
The origin of the microcredit movement is usually attributed to
the work of Muhammad Yunus Grameen Bank which was founded
more than 20 years ago in Bangladesh (Jolis, 1996). Today microcredit
and microenterprise programs can be found throughout South and Southeast
Asia, many parts of Africa and Latin America and even in the US
and other Western countries. Support for such programs has been
on the increase in recent years and there is a lot of optimism about
the capacity of microcredit to reduce poverty. To quote from The
Independent again (5 May 1996), Muhammad Yunus believes
that he can eradicate world poverty, all by the use of one simple
idea. Now the worlds leaders are starting to take him seriously.
This essay will try to determine whether such belief and optimism
is warranted.
Lastly, it should be noted that despite the spread of microcredit
programs and their growing popularity with policy-makers, hard data
is somewhat lacking. There is little standardization across studies
as to how to define critical processes and measures of success.
The definition of poverty, and especially reductions
in poverty, tends to vary from study to study. Womens
empowerment is another very nebulous term. Many terms and
processes are redefined on an ad hoc basis each time a new study
is conducted. Much of the literature on the subject of microcredit
appears to be in the stage of empirical observation and anecdotal
evidence. However, after 20 years the preliminary results are in.
There is plenty of information on the positive and negative aspects
of microcredit programs, as well as some early information on the
long-term effects and prospects of microcredit and microculstering
schemes. This information should be more than enough for the purposes
of this essay.
II. The Benefits
The main benefits of microcredit claimed by proponents are
1. a reduction in vulnerability to adverse circumstances on the
part of the poor,
2. an increase in consumption in the same group,
and
3. a reduction in income-poverty. The supporters of microenterprise
clusters further claim that clustering increases the chances of
success and prosperity for poor loan recipients.
Reduction of Vulnerability
One of the most important benefits of microcredit programs is its
ability to reduce vulnerability among the poor. This reduction occurs
through a number of different channels (Zaman, pp.1,18). Microcredit
programs help borrowers to insure themselves against crises by building
up household assets. Such assets can be sold if needed. They can
also be used as security or proof of credit worthiness when dealing
with businessmen or more traditional lending agencies. Finally,
the diversification of assets can reduce the risks of catastrophic
loss. For example, a family which relies on share-cropping could
easily be bankrupted by a single crop loss, whereas a family with
a diversified base of crops and livestock or handicraft income could
survive until the next harvest. Other aspects of microcredit programs
such as skills training and female empowerment also contribute to
a familys ability to cope with crises by increasing the variety
of responses a family can make to a challenging situation.
These reductions in vulnerability are important because they allow
poor people to begin to hold their own in society. Gains made in
prosperous times are partially protected during bad times, and the
cycle of poverty is arrested. This is really a vital benefit for
the great numbers of poor people who live in rural, agricultural
areas. To quote Zaman (2000), seasonal deficits play a key
part in the poverty process in Bangladesh. The same is true
in many other parts of the world as well. The relative abundance
at harvest time, which derives both from the sale of crops and the
increased demand for labor is usually more than matched by the poverty
of rest of the year. The introduction of natural disasters into
the equation tends to make the situation even bleaker for the poorest
members of a society. So the beneficial effects of microcredit on
vulnerability are quite pronounced.
Increased Consumption
Another benefit of microcredit programs is the increase in household
consumption. One researcher in Bangladesh (Khandker, pg.148) has
found that for every 100 taka (the unit of currency in Bangladesh)
lent to a female borrower, household consumption rises by 18 taka.
Other researchers (Zaman, pg. 4) have found that income smoothing,
which is the result of lessened vulnerability, also leads to consumption
smoothing. These are both important effects for people who typically
live on the edge of disaster. Even small increases in consumption
and increased regularity in consumption can lead to better health
and nutrition, and enhance the ability to make long range plans
for the family. Combined with the investment possibilities opened
up via additional loans from the microcredit program, such stability
can have a far reaching positive effects on participating households.
Reduced Income Poverty
Microcredit programs also reduce income poverty. That is, borrowers
actually tend to make more money over time. Once the cycle of poverty
has been arrested and some stability provided, many borrowers go
on to make profitable investments and even lift themselves out of
poverty all together. Members of the Bangladesh Rural Advancement
Committee (BRAC) can expect to see their poverty fall by an average
of 15% after three years of participation. The so-called ultra-poor
experience poverty reductions of 25%. 21% of the members of the
Grameen Bank (GB) microcredit program lift themselves from poverty
within four years of joining the program. About 5% of the GBs
members rise from poverty each year. (Khander, pp. 2,69). Although
there is a great deal of variability among microcredit programs,
these results are not unusual. A rate of reduction of poverty of
5% per year is very good, and certainly seems to warrant optimism.
But, it will be shown that this indicator of success is somewhat
misleading.
Microclusters
Finally, there is the question of microenterprise clusters. The
main selling point for clustering is the collective efficiency
which it produces. Microcredit funded business ventures are frequently
plagued by the problems of small size and isolation. It is not worth
the time of itinerant traders to work with such ventures. Consequently,
the ventures can only rely on local patronage, which may or may
not be enough to support long term growth. With microcredit clusters
however, these problems are partly overcome. Traders are attracted
by the possibility of making cheap, bulk purchases. Vendors of raw
materials are also attracted by the possibility of making bulk sales.
The close proximity of a number of businesses in the same line of
work also allows for labor sharing, order sharing, and subcontracting
within a cluster. Successful clustered enterprises may also go on
to specialize, with the resulting benefits that come from division
of labor. It should also be noted that microenterprise clusters
still tend to be more successful when they are located near roads
or crossroads, even given the increased attraction associated with
clustering. (Weijland, pp. 18-19)
Supporters also point to the ease of sharing information and technological
innovations within clusters as other major advantages. Finally,
rural microenterprise clusters have been found to have certain competitive
advantages over more centrally located industries that do not have
the benefit of clustering. Rural clusters usually have flexible
to non-existent rules for land use and environmental impact. Labor
is also cheap, flexible, and unregulated. Finally, certain raw materials
such as wood or bamboo are also frequently available either for
extremely low prices or for free. (Weijland, pg. 17)
To sum up, both straight microcredit programs and clustered microenterprise
programs offer a number of benefits to participants. They have been
successful in lifting some people out of poverty, and arresting
the slide into further poverty for others. Based on the facts given
above, there seems to be ample reason for optimism. However, as
the next section will show, microcredit programs have a number of
drawbacks which can reduce and even negate their positive impact.
III. The Drawbacks
There are a variety of problems and shortcomings associated with
the microcredit and microenterprise cluster models of poverty alleviation.
One is the problem of using the loans effectively. A second problem
is that microcredit loans dont reach the poorest of the poor.
Instead they tend to reach the moderately poor members of society.
A third problem is the danger of borrowers becoming dependent on
microcredit, rather than using it as a means to escape poverty.
Fourth, successes in poverty reduction may not hold up over time.
Clustering brings with it a different set of problems. The inability
of some clusters to progress beyond a very rudimentary stage and
the related problem of the development of a parochial world view
inside clusters will be looked at. The significant issue of negative
externalities will also be reviewed.
Problems of Microcredit
1. Turning a Profit on the Loan
One of the most fundamental problems with microcredit programs is
the difficulty involved in actually turning a profit on the loans.
In the first place, borrowers must bear not just the cost of the
loan and interest payments. They must invest a significant part
of their time in group activities mandated by their programs. In
addition, women in many traditional societies must bear the stigma
of being under the authority of a male (the loan officer) who is
not a family member, and of engaging in work outside the home. Also,
the loans usually finance some type of womens work
which is not seen as fit for men to do. This leads women to rely
on their female children for supplemental labor, and thus female
children are under increased pressure to stay out of school so that
they can help contribute to the family income. (Khander, pp. 57,
59)
Investments may not turn a profit. In this event the money to repay
the loan must come from reduced consumption or borrowing from some
other source, usually on worse terms. Another problem is capture
of the loans by male relatives. In some cases, male relatives use
female borrowers as fronts to get relatively low interest loans.
These loans may or may not be used to benefit the family, and the
female borrowers rarely see any benefit at all. And yet, the women
are still held responsible for repayment of the loans. (Mayoux,
1997)
Indeed the chances of a female-headed enterprise succeeding at
all are often quite small. The experience of microentrepreneurs
in Botswana is illustrative. Seventy-five percent of the people
engaged in informal sector business activities are women. A majority
of their microenterprises never grow.
They either fail completely or remain at the
initial stage of street vending. ...in Botswana, Kenya, Malawi,
Swaziland, and Zimbabwe most enterprises that started with 1-4
workers never expanded. (Ntseane, 2000)
Women are legally perceived as minors. They are not allowed to
take out ordinary bank loans without the signature of absent, migrant
laborer husbands. And even when women do manage to start small businesses
they must continually fight against a repressive patriarchal social
structure, and make do with what little schooling they may have
received before going into business. So it is plain that making
use of a microcredit loan is not as easy as some supporters would
make it sound.
One final obstacle to turning a profit is the fact that as microcredit
programs become more successful and hand out more loans, more people
enter the local marketplace as microentrepreneurs. Nan Dawkins Scully
(2000) writes that
The cumulative effect of rising costs, declining
demand, and competition from both cheap imports and increased
entrants into the sector leads to shrinking profits in informal-sector
trade. In Zimbabwe for example, women traders in the informal
sector experienced significant declines in income following the
implementation of structural adjustment, and new entrants into
the sector reported earning less than they had previously earned
in their formal sector jobs.
In other words, the initial success of microenterprises can lead
to subsequent overcompetition problems, especially when international
trade liberalization is factored into the equation. A few microentrepreneurs
in a given area may be able to turn a profit. A large number probably
can not.
2. Inability to reach the poorest of the poor
A second important drawback to microcredit programs is that they
dont reach the poorest members of the society. To quote Assessing
the Poverty and Vulnerability Impact of Micro-credit in Bangladesh
(pg 4), the poorest have a number of constraints (fewer income
sources, worse health and education, etc) which prevent them from
investing the loan in high-return activity The same report
also writes that there appears to be a growing consensus that
moderate-poor micro-credit borrowers benefit more than extremely
poor borrowers. The reasons for this are clear. The poorest
need tiny loans which are not cost effective even for microcredit
programs. The poorest also place the greatest demands on microcredit
training programs, which makes the cost of lending even higher.
As microcredit programs are pressured to become more self-sufficient,
the incentive to lend to such desperately poor borrowers evaporates.
(Mayoux, 1997)
This is a major problem for microcredit programs. Although they
are raising some people out of poverty and keeping some people from
further poverty, they do not appear to be reaching the people who
need assistance the most. In fact, such programs may even be increasing
the chasm between the poorest and the rest of society. This is clearly
a failure for programs whose avowed purpose is to narrow the gap
between rich and poor, and raise up the poorest members of society.
3. Microcredit dependency
Another possible failure of microcredit programs lies behind seemingly
benign statistics. Some researchers have proposed the idea that
the high repayment rates, repeated borrowing, and low drop-out rates
indicate a dependency on microcredit programs rather than an attraction
to successful microcredit programs on the part of poor borrowers.
Many borrowers have no alternative to borrowing from microcredit
programs, and consequently can not afford to default. Neither can
they afford to stop borrowing or drop-out of the programs. There
is nowhere else for them to go. (Khandker, pp.160,166) In order
to stay in good standing with the microcredit program, borrowers
may even be forced to resort to pawnbrokers or other alternate sources
of funding. Furthermore, unless borrowers can increase their incomes
they may become permanently dependent on microcredit lending (Khandker,
pg.166). This a very real possibility as was noted above.
Again this is a significant failure, as many microcredit programs
tout themselves as more progressive alternatives to the existing
systems of informal credit which have caused so many problems in
poverty stricken areas (systems such as share cropping, debt bondage,
and so on). The chances of microcredit programs becoming just another
form of debt-based oppression is real and must be addressed before
microcredit programs can progress much further. And yet it has hardly
been discussed up to this point.
4. Durability of poverty reduction
A related problem is the durability of poverty reduction. Infusions
of cash in almost any amount are bound to have some effect on the
poverty stricken borrowers. But this does not necessarily mean that
the effect will be permanent. The poverty reductions may be rolled
back in two ways. First of all, borrowers may use loans for consumption
purposes which result in a momentary increase in living standards,
but which must be paid for by cuts in future consumption. (Zaman,
pg. 23). Secondly, borrowers must make a net profit on their investments.
Otherwise, as noted above, they may become dependent on the creditor
programs. Even if they do not become dependent on microcredit lenders,
they will still have failed to improve their economic position.
Again, this would be a failure of microcredit lenders to achieve
their goals.
Problems of Microenterprise Clusters
1. Cluster stagnation
One of the biggest problems in microenterprise clusters is the inability
to progress. it is relatively easy to begin a cluster. Typically,
a group of craftspeople will simply set up shop near each other,
with each handling the entire manufacturing process for the goods
being produced. And, the goods will usually be fairly simple- textiles,
baskets, roofing tiles, etc. This is enough to draw in suppliers
and buyers. The problem is that many clusters do not progress beyond
this stage. Ideally, clustered producers should specialize over
time, but this does not always happen. Speaking of the situation
in Africa Dorothy McCormack writes that clustered producers
can only advance when there is both a demand for higher quality
goods and the availability of the technology to produce such goods.
(McCormack, pg. 1545) All too often one, or both, of these conditions
is lacking. Consequently, clusters may stagnate and or even collapse.
2. Parochialism
Another problem is parochialism within the clusters. Clusters tend
to center on interactions within the cluster at the expense of outside
interactions. So for example, businesses in a cluster may monitor
one another and adopt new techniques developed within the cluster.
It is less common for clustered businesses to follow the same process
when it comes to outside innovations. Even when outside innovations
are introduced into a cluster they may be met with suspicion. (Visser,
pg. 1566) This is can become a fatal flaw when clusters are forced
into competition with more advanced foreign producers. Researchers
in India found that clustered firms which did not step up cooperation
with outside entities (such as retailers) in the face of increased
foreign exposure did not fare as well as those that did. (Visser,
pg. 1554) Many such firms went out of business altogether.
3. Negative externalities
A final drawback of clustering microenterprises is the concentration
of negative externalities. In one African study (McCormack, pg.1531),
the effect of clustering on labor supply and wages was extremely
negative. So many unskilled workers were drawn to the cluster that
labor competition became intense and wages were severely depressed.
Another example of negative externalities was identified in a collection
of Indian leather tanners in clusters. (Kennedy, pg. 1673) The concentration
of enterprises led to unacceptably high pollution levels and entire
clusters were shut down based on the aggregate pollution levels
of each one.
So, it is clear that both microcredit programs and microenterprise
clusters have a number of drawbacks that tend to reduce the positive
effects they are intended to produce. The questions ahead are: 1.
do microcredit programs have a positive net benefit?, and 2. how
effective are they in the campaign to reduce world poverty? Are
they going to put poverty in the museum, as Dr. Yunus would have
us believe?
IV. Analysis and Conclusions
This section will first address the effectiveness of microcredit
in alleviating poverty and improving the status of women in existing
programs (since women are the target population). It will then look
at the question of whether implementation of microcredit programs
on a wider scale could have a significant impact on overall global
poverty. Finally, it will conclude by suggesting that microcredit
programs do have some value, but can not have a significant effect
by themselves owing to the multiple causes of poverty around the
world.
Poverty and Women in Current Microcredit Programs
As was stated above (section II. C), microcredit programs can lift
as many as 5% of program participants out of poverty every year.
Unfortunately, this figure fails to mention that, in Bangladesh
for example, microcredit programs only reach about 20% of the population.
Therefore, only about 1% of the population can rise from poverty
each year under microcredit programs. (Khandker, pg. 73) And at
the same time that this 1% is rising from poverty, the population
is increasing by 1.8% per year, predominantly in the poorer classes.
So the net effect is to hold poverty at bay rather than to roll
it back. There is also a further concern. Either an increase in
the rate of population growth or a decrease in the success rate
of existing programs could erase the poverty alleviation progress
that has been made to date. Similar situations exist in most areas
where microcredit programs are active, so the tenuous nature of
microcredit-based economic improvements can not be ignored.
Microcredits track record in the area of female empowerment
is equally mixed. Some studies have found a strong correlation between
participation in microcredit schemes and female empowerment. They
attribute this to the self-confidence women gain from handling money,
operating independent businesses, and earning money for the family.
Others point to the paternalism of lenders and tendency for loans
to be captured by men as factors which tend to negate any empowerment
which might be going on. They also point to the selectivity problem.
This is the problem of determining whether women who appear to be
empowered joined a lending scheme because they were empowered, or
became empowered as a result of their participation. These questions
have yet to be resolved either way.
Microcredit is also a mixed blessing for women in the sense that
even when women do increase their incomes, the increase comes at
the expense of their time and that of their female children, as
mentioned earlier (section III.A.1). So in some cases microcredit
may be doing nothing more than pioneering new routes to the same
old destination of female subordination. Microcredit may even worsen
the situation if women must work harder to maintain the same low
social status and lack of education they have always had. The prevailing
wisdom in microcredit circles holds that women are more helped than
harmed by microcredit, but this wisdom is increasingly being challenged
as programs are examined more closely.
Spreading Microcredit Programs
Microcredit programs are not suited to all poor people equally.
Poor people with good oral math skills tend to participate more
in microcredit programs, while those with poor oral math skills
tend to gravitate towards subsidized wage employment programs, such
as public works projects. Studies also suggest that the poorest
of the poor are more likely to seek subsidized wage employment when
they want to improve their economic situations. (Khandker, pp. 155-6)
These findings suggest that microcredit programs alone will never
succeed in solving the poverty problem. Any solution that is unable
to reach the very poorest members of society will never be a complete
solution. A realistic attack on poverty must use a number of different
tactics. These should include subsidized wage employment programs,
in addition to subsidized business start-up programs. Food assistance,
health insurance, and legal education have all also been recommended
as necessary components of any comprehensive program. (Zaman, pg.
25) Finally, one recent study (Khandker, pg. 156) found that investment
in infrastructure improvements was at least as cost effective as
microcredit in increasing consumption among the rural poor. Therefore,
it is clear that microcredit programs do not warrant consideration
as the only solution to the poverty problem. They may not even warrant
a place at the center of poverty alleviation schemes.
There is one further argument against extending the reach of microcredit
programs. As Nan Dawkins Scully (2000) writes
Since a majority of people have neither the skills
nor the inclination to be entrepeneurs, why are microenterprises
proliferating? It has been clear for decades that the informal
sector is a depository for the victims of the failure of the formal
sector.
She goes on to point out that microcredit programs are frequently
used as a substitute for meaningful social reform. It is true that
microcredit and microenterprise cluster programs can help some people,
and can even lift people out of poverty. However, this essay has
shown that microcredit is not a cure-all. It can try to hold the
line against poverty, but there is still no record of microcredit
schemes rolling back poverty anywhere in the world, even after more
than 20 years of continuous and expanding operation in some areas.
The absence of serious social reforms probably guarantees continued
poverty in large parts of the globe, no matter how many microcredit
loans are disbursed. As the experience of women in Botswana demonstrated,
social and institutional impediments can cause serious problems.
Land reform and gender equality would probably be more effective
in reducing poverty than microcredit could ever be. Among the options
already mentioned, improving infrastructure would probably be a
more durable method of poverty alleviation.
Conclusions
Microcredit and microenterprise clustering have some merit within
certain narrowly defined limits. They can be a great help to poor
people with good math skills, and some predisposition for entrepreneurship.
Such programs are especially helpful for the moderately poor, and
for enterprises located near roads and crossroads (as noted above
in section II.D). Successful microentrepreneurs also need to be
able to choose good, money making investments, and be able to pursue
them without undercutting from other microentrepreneurs or cheap
imports. Finally, if the enterprises are going to be encouraged
to cluster they must not be of a kind that is likely to produce
large negative externalities.
With all of these restraints and qualifications, it should be obvious
that microcredit programs are not going to be solving all of the
worlds poverty problems. If our grandchildren go to museums
to see what poverty was like, it is not going to be as a result
of the spectacular success of expanded microcredit initiatives.
The problem of poverty is too multi-faceted. It just cant
be addressed by a single solution. Microcredit will never have significant
impact on the world-wide phenomenon of poverty.
That being said, microcredit can still have a place in the arsenal
of poverty reducing techniques. While not every poor person is a
budding entrepreneur, it is still true that some of them are. In
Bangladesh, as much as 1% of the population is composed of new entrepreneurs
working their way out of poverty each year (see section IV.A). This
is better than nothing. The fewer people in poverty, the easier
it will be to tackle to problem.
Also, the accumulating observations of differences within the mass
of poor people can be put to profitable use. While microcredit might
be increasing the divide between the extremely poor and moderately
poor, it is also identifying the differences between these two groups,
and clarifying the fact that such differences exist. Microcredit
experiences have brought to light the fact that the poorest of the
poor are in a bad position to benefit from credit programs. It seems
that they benefit more from subsidized wage programs and infrastructure
improvement programs. This is valuable information for those who
wish to reach the poorest members of society. Microcredit programs
have also shown that the moderately poor are capable of helping
themselves out of poverty given the infusion of relatively small
amounts of capital. Again this is valuable information. The apparent
divisions based on mathematical ability can also be put to use in
the formulation of new assistance programs.
The microcredit movement is part of a learning curve on the causes
and remedies of poverty. To answer the questions posed in the conclusion
of section III., microcredit does seem to have a mildly positive
net benefit. It has helped some families out of poverty and increased
the store of knowledge as to what poverty is and how it operates.
It has also given some insights into what not to do when trying
to relieve poverty. These are all valuable contributions. But the
hype surrounding microcredit is unwarranted. It will probably not
be a major factor in the overall reduction of world poverty.
Bibliography
Journals
1. Albu, Michael and Bell Martin; (1999); Knowledge Systems
and Technological Dynamism in Industrial Clusters in Developing
Countries; World Development; Volume 27, Number
9, pp. 1715-1734
2. Evans, Timothy; Adams, Alayne; Mohammed, Rafu, Norris, Alison;
(1999); Demystifying Non-Participation in Microcredit: A Population
Based Analysis; World Development; Volume 27, Number
2, pp. 419-430
3. Ghate, D.B.; (1988); Informal Credit Markets in Asian Developing
Countries; Asian Development Review; Volume 6, Number
1, pp. 64-85
4. Holcombe, Susan; (1995); Managing to Empower: the Grameen
Banks Experience of Poverty Alleviation; Zed Books; Atlantic
Highlands, NJ
5. Kennedy, Loraine; (1999); Cooperating for Survival: Tannery
Pollution and Joint Action in the Palar Valley (India); World
Development; Volume 27, Number 9, pp. 1673-1691
6. Knorringa, Peter; (1999); Agra: An Old Cluster Facing
New Competition; World Development; Volume 27, Number
9, pp. 1587-1604
7. McCormack, Dorothy; (1999); African Enterprise Clusters
and Industrialization: Theory and Reality, World Development;
Volume 27, Number 9, pp. 1531-1550
8. Meyer-Stamer, Jorg; (1999); How to promote Clusters: Experiences
From Latin America; World Development; Volume 27, Number
9, pp. 1693-1713
9. Nadvi, Khalid; (1999); Collective Efficiency and Collective
Failure: The Response of the Sialkot Surgical Instrument Cluster
to Global Quality Pressures, World Development; Volume
27, Number 9, pp. 1605-1626
10. Rabelotti, Roberta; (1999); Recovery of a Mexican Cluster:
Devaluation Bonanza or Collective Efficiency?; World Development;
Volume 27, Number 9, pp. 1571-1585
11. Rahman, Aminur; (1999); Microcredit Initiatives of Equitable
and Sustainable Development: Who Pays?; World Development;
Volume 27, Number 1, pp. 67-82
12. Schimtz, Hubert; (1999); Global Competition and Local
Cooperation: Success and Failure in the Sinos Valley, Brazil;
World Development; Volume 27, Number 9, pp. 1627-1650
13. Tewari, Meenu; (1999); Successful Adjustment in Indian
Industry: The Case of Ludhianas Woolen Knitwear Cluster;
World Development; Volume 27, Number 9, pp. 1651-1671
14. Visser, Evert-Jan; (1999); A Comparison of Clustered and
Dispersed Firms in the Small Scale Clothing Industry of Lima,
World Development; Volume 27, Number 9, pp. 1551-1570
15. Wahid, Abu N.M. (editor); (1993); The Grameen Bank : Poverty
Relief in Bangladesh; Oxford; Westview Press
16. Weijland, Hermine; (1999); Microenterprise Clusters in
Rural Indonesia: Industrial Seedbed and Policy Target; World
Development; Volume 27, Number 9, pp. 1515-1530
Internet Resources
17. Jolis, Alan; (5 May 1996); The Good Banker; The
Independent;
http://gdrc.org/icm/grameen-goodbanker.html
18. Khandker, Shahidur R.; (1998); Fighting Poverty with Microcredit:
Experience In Bangladesh; Published for the World Bank by
Oxford University Press;
http://www-wds.worldbank.org/cgi-bin/cqcgi/@production.env?CQ_SESSION_KEY
Connexions
Library Title Index - Connexions
Directory A-Z Index - Connexions
Directory Subject Index
Connexions
Links - Periodicals
& Broadcasters Online - Volunteer
Opportunities
Publicity
& media relations resources - The
Connexions Digest Archive
Connexions
Phone: 416-964-5735
E-mail:
www.connexions.org
|