The content we created for SEF in 2010 (and updated in March 2012) appears below. This content is likely to be no longer fully accurate, both with respect to what it says about SEF and with respect to what it implies about our own views and positions. With that said, we do feel that the takeaways from this examination are sufficient not to prioritize re-opening our investigation of this organization at this time.
In 2011, we declared SEF a "standout organization," which meant that we found it to be an outstanding opportunity to accomplish good but that we rated our top charities above it.
Published: 2010; Updated: March 2012
The Small Enterprise Foundation (SEF) is a microfinance institution operating primarily in the Limpopo province of South Africa.1 SEF is currently expanding into the Eastern Cape, Mpumalanga, and North-West provinces.2 (For more on microfinance, see our overview of microfinance.)
SEF shows a strong focus on collecting the information necessary to assess its social impact, including (a) data on how many clients are dropping out of the program; (b) data on whether SEF is succeeding in its attempt to target people with low incomes.
We believe that SEF stands above every other microfinance institution we have reviewed for its strong commitment to self-evaluation. Nevertheless, we have concerns about the overall impact of microlending on poverty. (For more on this general issue, see our blog post, "Is borrowing good for the borrowers?")
We reviewed SEF in late 2009 as part of our process to distribute $250,000 in funds to an economic empowerment organization in Sub-Saharan Africa. In our investigations of microfinance, we had trouble finding an organization that could answer what we consider to be key questions about microfinance, and we conducted a search for non-U.S. organizations in order to find one.
The substance of the review below was initially written in early 2010, after a GiveWell site visit to SEF conducted in February 2010. The text was updated in March 2012 to reflect updates from the Small Enterprise Foundation.3 SEF reviewed an earlier draft of this update, and we made modifications after some back-and-forth. The older SEF review is available here. We have not investigated other microfinance organizations since our original research in 2009.
The Small Enterprise Foundation (SEF) is a microfinance institution (MFI) operating primarily in the Limpopo province of South Africa. SEF provides loans to groups of people.4 The majority of loans are for 6 months, with repayments due monthly. SEF also offers 4 and 10 month loans paid monthly, and 4 and 6 month loans for which repayments are due every 2 weeks.5
SEF does not provide savings services, but requires loan recipients to save in accounts administered by independent institutions.6 SEF stated to us that it does not provide savings services because of the high cost and difficulty of doing so, and noted that other institutions in the area provide "reasonable" access to savings services.7 It does not provide insurance services.8
In evaluating SEF, we have used our key questions for evaluating microlending charities. The sections below cover its answers to our key questions (see the previous link for why we consider these questions important).
We feel that SEF is likely succeeding in targeting people with very low incomes, and is seeing genuinely high repayment rates from participants. We have some concerns about whether its clients are benefiting from the loans, but we feel that SEF stands above other microfinance institutions we've found in assessing and addressing these questions.
We are not fully confident in SEF's social impact. However, SEF stands out from other microfinance institutions for its strong commitment to self-evaluation: not only does it provide loans with high repayment rates, but it is collecting the information necessary to assess whether these loans are helping clients (including information on dropout rates, which is often not provided by other microfinance institutions).
Some of the issues discussed below may sound discouraging, but in our view, it is highly encouraging that SEF is collecting and sharing the information necessary to discuss them. Other microfinance charities we have examined have not shared the information necessary to assess issues like clients' dropping out, harassment by officers, and overindebtedness.
In our view, an organization that consistently collects, assesses and shares important information is a better bet for a donor than one that does not.
Other examples of SEF's commitment to collecting, analyzing and learning from important information about social impact:
We have received dropout rate reports from SEF at two times. In the first report, covering the period between April 2008 and September 2009, SEF's drop out rate (calculated monthly) varied between 18% and 24%,14 and in the second report, covering the period between April 2010 and September 2011, SEF's dropout rate varied between 16% and 22%.15 SEF defines its dropout rate as the number of clients who completed a loan in the six months prior to a given date and did not take out a subsequent loan in that period or within one month following the end of the six month period divided by the total number of clients who completed a loan in the six months prior to the end of the period.16
SEF's dropout rate, especially recently, is well below the 28% average of dropout rates for microfinance institutions that report this data,17 but still seems substantial. It appears that clients are primarily dropping out due to dissatisfaction with the program, not just choosing not to borrow again because their needs have been met.18
SEF reports that it considers its dropout rate to be a key metric of how well it is doing. SEF's loan officers are rewarded for maintaining low dropout rates (as well as recruiting new clients and maintaining a low portfolio at risk ratio).19
For more information on microfinance dropout rates and how they are calculated, see our microfinance glossary.
We have seen two small surveys that SEF conducted on why clients dropped out of its program, the most recent of which is from 2009.
A 2007 survey of 79 dropouts gave the following reasons:20
SEF interviewed 17 dropouts in 2009 to determine why dropout rates had increased.21 The main reason given for dropping out was distrust of staff members who used clients' savings to pay group loans without the clients' knowledge, required clients to attend long fortnightly meetings, and were even accused of committing fraud.22
In early 2012, Small Enterprise Foundation reported that they had not conducted any dropout surveys in the past two years. SEF said that they had not conducted further surveys because they found them redundant: "We found that the dropout surveys don't tell us anything new, because the results tend to be the same across the different surveys. Dropouts tend to be unhappy about having to bear other people's debt."23 SEF reports that they have taken steps to respond to the concerns raised in these surveys, including prohibiting field staff from using one client's savings to pay off other another's debts.24
SEF determines the size of a loan based on how much savings the client has and the capacity of her business as judged by the loan officer.25 The independent rating agency M-CRIL considers these "reasonable systems to assess client borrowing capacity."26 There are some questions, however, about whether staff consistently implement these systems as intended.27
In at least one area, however, access to other sources of credit has resulted in clients' taking out more loans than they are able to repay (see "Other issues" section below).
Only 3% of clients cited "issues with SEF staff" as the reason they dropped out of the program in the 2007 drop out study.28
SEF states that it keeps close track of repayment rates, savings and attendance at group meetings in order to be able to respond quickly to potential issues.29 M-CRIL states that client protection is "partially monitored."30
Loan officers are rewarded for maintaining a high repayment rate and disbursing new loans.31 It is possible that such incentives could lead to loan officers pressuring clients to repay or to take out loans they wouldn't otherwise have taken out. On the other hand, loan officers are also rewarded for maintaining a high client retention rate, which may lead to better treatment of clients.
SEF reports that their quality assurance procedures include regularly asking some clients about their treatment by staff members, and that that negative feedback is treated as a major issue.32
SEF's impact may be diminished if the area in which it works has strong alternative sources of credit. A 2009 report by M-CRIL claimed that "none of the clients are a member of another MFI,"33 but a 2003 report stated that SEF faced competition from two other programs,34 and the M-CRIL report noted that SEF may be moving into areas where other microfinance services exist.35
A 2009 SEF report noted that some clients were becoming overindebted in "the North Zone" where clients have access to other sources of credit, including another MFI.36 SEF told us that they took remedial actions to try to limit client overindebtedness in the North Zone following the entrance of the other MFI, at substantial financial cost.37
In late 2011, SEF reported that it had not had recent issues with client over-indebtedness.38 At the same time, they reported that two new branches were in areas already served by other MFIs.39
SEF appears to charge high interest rates on its loans, in the range of 6-8% per month (equivalent to 67-89% APR and 91-140% EIR).40
These interest rates appear to be high compared to other MFIs working in Sub-Saharan Africa.41 However, we do not regard these rates as particular cause for concern. SEF reports that they are making smaller loans than the average Sub-Saharan African MFI, which could help explain the relatively high rates.
For more information on microfinance interest rates and how we calculate the cost of a loan to borrowers, see our microfinance glossary.
It appears that a very high percentage of SEF's loans are repaid. We calculated a conservative estimate of SEF's "collection rate" for January 2009 to December 2010 i.e., the percentage of money disbursed during this period that was repaid by the first two quarters of 2011. We estimate that this rate was 99.25% over this period.42 This lower-bound "collection rate" corresponds to approximately a 3.45% annual loan loss rate (i.e. percent of loan portfolio that is lost per year).43 Note that:
Though we have had to do a fair amount of estimating and approximating, our understanding of SEF's repayment rate is much clearer than our understanding of the average microfinance institution refers to as its "repayment rate." These rates often leave significant room for interpretation and can be very misleading.
For more information on collection rates and other forms of microfinance repayment rates, see our microfinance glossary.
SEF aims to serve people with very low incomes, and there is some evidence that it is successfully doing so.
SEF works in one of the poorest provinces in South Africa.45 Within this area, SEF targets poor clients through "participatory wealth ranking" (PWR) where "members of a village define conditions of poverty in their village and rank community members according to these conditions...Those ranked poorest by the participants are eligible for membership" in SEF loan groups.46 In 2000, independent evaluators did an assessment of whether this targeting method was resulting in SEF's serving the poor.47 They compared "poverty scores" from random samples of new clients and non-clients and found that clients in the targeted program were poorer on average than non-clients.48 Poverty scores were based on a such indicators as condition of house, quality and quantity of food, education of household members, and assets owned.49
SEF also runs a non-targeted program, which they said accounts for 18% of loans.50 Clients in this program were found to be less poor on average than non-clients.51 SEF has said that this program is not being expanded.52
A representative survey53 done by SEF in 2007 on 625 clients54 in the poverty-targeted program estimated that 64.4% of clients lived on less than the equivalent of about $1.64 per day and 89.5% lived on less than the equivalent $3.28 per day.55 These percentages were estimated by asking clients simple questions such as "what type of fuel do you use?" and "what is your main source of income?" and using an independent conversion methodology to convert this data into income data.56 The survey also found that 87% of clients in the program targeted at the poor had electricity, 47% had piped water, and 3% had a flush toilet.57
In late 2011, SEF reported that it continues to use participatory wealth ranking to target poor clients, and that client demographics are largely unchanged since 2009.58
For more information on standard of living surveys of microfinance clients, see our microfinance glossary.
We believe that borrowing is bad for at least some borrowers;59 the above section addresses what we know about this concern in SEF's case.
We also have general concerns about charities' potential diversion of skilled labor and/or interference with government responsibilities. The latter concern seems minor in this case, as SEF's functions don't seem to overlap with (or involve funding) government functions. The former is a potential concern, although SEF has provided what we consider a reasonably strong argument that its personnel come from backgrounds of unemployment and underemployment.
We have not completed a cost-effectiveness analysis for the Small Enterprise Foundation.
On a per-person-served basis, the Small Enterprise Foundation's activities are more costly than the health interventions we recommend most strongly. According to Mix Market, SEF's cost per borrower in 2010, the most recent year available, was $128.60 For the Against Malaria Foundation (AMF), purchasing and distributing a single long-lasting insecticide-treated bed net costs approximately $5.50. Therefore, for SEF's cost of serving one borrower, AMF could provide 22 bednets covering approximately 40 people with nets for a little over 2 years.61 It is plausible that each person receiving a loan from SEF benefits much more than they would from a bed net, but we doubt that they benefit proportionally to the higher cost.
Note that this cost-per-borrower figure is for the average client, not the marginal client. We are uncertain about how additional contributions to SEF would translate into more clients served: charitable contributions may be leveraged in a way that leads to a cost of either much more or much less than $128 per additional client served.
SEF estimates that it could productively use approximately $931,000 in additional donations in 2012, including:62
Small Enterprise Foundation has shared a document showing how they would allocate funding across these priorities at different fundraising levels.67
SEF received half of GiveWell's 2009 economic empowerment grant, the majority of which was used to fund a client skills training program through Freedom from Hunger.68
Data for 1995-2009 comes from Mix Market; data for 2010 and 2011 comes from SEF's audited financial statements.69
Revenue and expense growth (about this metric): SEF's revenues and expenses have grown gradually over time.
Donations as a % of revenues: We consider this metric for microfinance institutions to check the degree to which they still require donations to meet their obligations.
Expenses by program area (about this metric): The Small Enterprise Foundation currently runs only one program.
Expenses by IRS-reported category (about this metric): The Small Enterprise Foundation operates in South Africa and is not a IRS-registered charity.
We believe that SEF is a standout microfinance organization for its commitment to self-evaluation. We are uncertain, however, about the overall impact of providing microloans on poverty in the developing world.
In addition, we have not yet fully answered the following questions:
Small Enterprise Foundation, "Background."
Small Enterprise Foundation, "Social Performance Standards Report (2008)."
| Length of loan | How often are repayments due? | % of SEF loans |
|---|---|---|
| 4 months | Every 2 weeks | 11% |
| 4 months | Monthly | 28% |
| 6 months | Every 2 weeks | 7% |
| 6 months | Monthly | 53% |
| 10 months | Monthly | 0.4% |
Data from Small Enterprise Foundation, "Breakdown of loans by loan type."
"Why doesn't SEF offer savings services? – Two main reasons (1) Regulation – we would have to obtain a banking license. These are not easy to come by and also require a really large amount of capital. (2) Because of South Africa’s relatively very high labour costs and high rate of violent crime it is very expensive to collect small savings deposits or to allow small savings withdrawals, especially in rural areas. It may also be noted that the Post Bank and commercial banks do offer reasonable (“reasonable” not “good”) access to savings facilities for the poor." John de Wit, email to GiveWell, December 7, 2009.
Small Enterprise Foundation, "Annual Financial Statements."
Sara Duke, phone conversation with GiveWell, November 18, 2009. She told us that M-CRIL sends evaluators to meet with representatives of the organization and gather data for their report. She was not able to share other reports with us due to confidentiality restrictions.
"SEF’s management systems were unable to support the growth of the previous financial year, leaving key aspects of the methodology – support to client businesses and well-functioning groups and centres – to be poorly managed. A lack of experienced staff due to recruitment for expansion and due to dismissals also meant that many staff were not equipped to deal with the problems they encountered." Small Enterprise Foundation, "Executive Summary: Dropout/Arrears Study Research," Pg 3.
“GiveWell: At one point in the past, you conducted surveys to see why clients have dropped our. Have you done any more of that?
SEF: Not in the last 2 years. We found that the dropout surveys don't tell us anything new, because the results tend to be the same across the different surveys. Dropouts tend to be unhappy about having to bear other people's debt.” John de Wit, phone conversation with GiveWell, January 19, 2012.
"In 2009 SEF paid for the design of a specific poverty scorecard (identical to a PPI, Progress Out of Poverty Index) for rural, black households in South Africa. (See the attached invoice from Microfinance Risk Management.) Such a tool had already been developed for all of South Africa but the indicators in this tool were not appropriate for trying to measure change in poverty status over time. We, therefore, commissioned the more focused tool.
Unlike almost all MFIs worldwide SEF has not just accepted the PPI but has carried out extensive field tests to try to verify that (1) the PPI gives reliable results and (2) can be implemented by staff who do not have the highest levels of education. (A quick example of this work is attached as “2012-03-05 Field trip to BBR for PMTs”.)"
John de Wit, email to GiveWell, March 6, 2012.
Small Enterprise Foundation, "Drop Out Report (2009)."
Small Enterprise Foundation, “Drop Out Report (2011).”
For instance, drop out rate as of June 30 is calculated on July 31 as:
(Number of clients who completed a loan between January 1 and June 30 and after completion, did not take out a second loan before July 31) divided by (Number of clients who completed a loan between January 1 and June 30). John de Wit, email to GiveWell, July 13, 2010.
GiveWell, "Is borrowing good for the borrowers?"
"SEF has a detailed incentive system in place which has been adapted over time and is still evolving. It applies primarily to DFs [Development Facilitators] and to BMs [Branch Managers]. The incentive can contribute up to 70% of the basic monthly salary – and is assessed for DFs every month. Branch Managers have one component that is paid monthly and another which is paid fortnightly. The system is based primarily on growth (number of groups, deliberately not portfolio) and maintaining portfolio quality (low number of groups with arrears). During 2007/8 SEF has piloted a revised system to include a weighting for dropouts. SEF is able to do this because of its close monitoring of the dropout rate (see below) and is concerned to include this alongside growth and quality parameters, so as to support client retention." M-CRIL, "Social Rating of SEF (2008)," Pg 6.
Small Enterprise Foundation, "Drop-Out Study."
"Research Objective: To investigate reasons for SEF’s increased arrears and dropout rate since January 2009." Small Enterprise Foundation, "Executive Summary: Dropout/Arrears Study Research," Pg 1.
"'Dropouts complained of the lack of recording of patching and their savings being used, sometimes without their knowledge, to patch other members...Complaints of having to attend fortnightly meetings and the use of the centre savings fund for patching all pointed to a breakdown of discipline and poor problem-solving at the centre level. Conflicts were addressed by keeping the entire centre in a meeting for 3 to 4 hours...In areas that had particularly high exit rates, issues with staff honesty were cited by current clients as reasons they were thinking of dropping out or why others had already dropped out. Where fraud had occurred with the previous DF, centres in the area were undisciplined and faced the problems with patching mentioned above." Small Enterprise Foundation, "Executive Summary: Dropout/Arrears Study Research," Pg 3.
“GiveWell: At one point in the past, you conducted surveys to see why clients have dropped our. Have you done any more of that?
SEF: Not in the last 2 years. We found that the dropout surveys don't tell us anything new, because the results tend to be the same across the different surveys. Dropouts tend to be unhappy about having to bear other people's debt.” John de Wit, phone conversation with GiveWell, January 19, 2012.
"We have instituted steps to address such issues. Firstly, field staff may not require clients to use their savings to pay other clients’ debt. Secondly, where clients lend money to others to assist them to repay their loans then their field worker is required to keep a record of this and to ensure that the clients who assisted others are repaid.
Where we see individual field worker areas with high drop-outs their managers are instructed to return to check their adherence to the above." John de Wit, email to GiveWell, March 6, 2012.
"Loan size is linked to two features – level of savings and the business evaluation undertaken by the DF. The business evaluation estimates value of the business, stock/materials, accounts receivable and cash on hand of the clients, and is undertaken in detail." M-CRIL, "Social Rating of SEF (2008)," Pg 7.
M-CRIL, "Social Rating of SEF (2008)," Pg 7.
"Centre leadership complained of staff undermining decisions taken in the centre about loan sizes and allowing clients to have larger loans even after the centre had agreed otherwise." Small Enterprise Foundation, "Executive Summary: Dropout/Arrears Study Research," Pg 3.
Small Enterprise Foundation, "Drop-Out Study."
"Centre savings, attendance and repayment rates are monitored. Any centre which falls below a certain ‘trigger value’ for any one of these is defined as ‘vulnerable’, and so is targeted for corrective action. In this way, SEF has designed an ‘early warning system’ to detect problems before they become systemic and harmful to the MFI as well as its clients." Imp-Act Consortium, "SPM in Practice: The Small Enterprise Foundation (South Africa)," Pgs 3-4.
"Client protection: Strong values of social responsibility, reflecting principle of ‘respect for all’. These values are integrated into operations; and partially monitored as part of Quality Assurance." M-CRIL, "Social Rating of SEF (2008)," Pg 2.
"SEF has a detailed incentive system in place which has been adapted over time and is still evolving. It applies primarily to DFs and to BMs. The incentive can contribute up to 70% of the basic monthly salary – and is assessed for DFs every month. Branch Managers have one component that is paid monthly and another which is paid fortnightly. The system is based primarily on growth (number of groups, deliberately not portfolio) and maintaining portfolio quality (low number of groups with arrears). During 2007/8 SEF has piloted a revised system to include a weighting for dropouts. SEF is able to do this because of its close monitoring of the dropout rate (see below) and is concerned to include this alongside growth and quality parameters, so as to support client retention." M-CRIL, "Social Rating of SEF (2008)," Pg 6.
"How does SEF guard against harassment? We have a Quality Assurance department which conducts audits of ever branch once or twice per year. As part of these audits clients are interviewed about their experience with SEF. I have attached here three documents used in these audits.
1. “Client Service” ["Client Service Evaluation"] – this format was introduced many, many years ago. Probably more than ten years ago.
2. “QUALITY AUDITS RATING SYSTEM4 - June2008” ["Quality Assurance Rating System"] – question 13 in this document shows that checking on client service is part of our branch rating system that was introduced in 2008.
3. “Client Feedback System Evaluation Form_4” ["Client Feedback System"] – this is a new form that has been tested and will be implemented by Quality Assurance in the next month or so, in addition to the Quality Audit Rating System.
I asked the head of Quality Assurance as to how often issues of unsatisfactory treatment of clients by staff were raised by clients. He said this happened very seldom and whenever these were found such cases were treated as a “Major Audit finding”. He added that this is an area in which he had no doubt that managers took immediate and appropriate action.
In addition, while the world knows of terrible incidents of harassment of microfinance clients in India SEF operates in an entirely different cultural context. SEF’s clients and the communities in which they live would not tolerate the kinds of harassment that are reported having occurred in India." John de Wit, email to GiveWell, March 6, 2012.
M-CRIL, "Social Rating of SEF (2008)," Pg 13.
"Current competitors include the parastatal Land Bank’s Step-Up Programme and Marang Financial Services. SEF expects some disruption from the Step-Up Programme. This programme provides individual loans at less than half SEF’s interest rate. Moreover, Step-Up appears to be ‘pushing’ loans without regard to sustainability, and appears unconcerned about defaults. Marang currently serves the same market as MCP and offers similar products. This is currently SEF’s most serious competitor." Baumann 2003, Pg 27.
"In future it will need to try to review other household liabilities, as it expands into areas with other MFIs." M-CRIL, "Social Rating of SEF (2008)," Pg 7. "[C]ompetition is beginning in Limpopo and as SEF expands to the Eastern Cape." M-CRIL, "Social Rating of SEF (2008)," Pg 13.
"A previously mentioned, the North Zone is particularly affected by the presence of Marang, WDB and money lenders. While only 3 out of 8 clients in arrears interviewed admitted to having to take loans from sources other than SEF, though centre leaders implied that more clients than this were taking out “double” loans...This research did not find evidence of clients dropping out because of other’s over-indebtedness though the clients who did admit to being members of both SEF and WDB were in arrears, which implies that they had become over-indebted." Small Enterprise Foundation, "Executive Summary: Dropout/Arrears Study Research," Pg 1.
“Do we have any new indication about whether SEF’s clients may also be clients of other MFIs?
This is something which we try to keep an eye on as we are always concerned that our clients may become over-indebted by borrowing not only from ourselves but also from other MFIs. It is, however, difficult to firmly establish whether clients are borrowing from other sources as they will seldom openly reveal this information. We thus rely on our field staff to look out for indications of such problems as they may detect this when clients have difficulties in making loan repayments. In the past year we have not received reports of clients struggling to repay loans because of becoming over-indebted. Again, our record high repayments rates and client retention rates give us some ease that this is not a significant factor at this time.
Have new MFIs entered Limpopo?
No, as far as we are aware no new MFIs have entered Limpopo.” John de Wit, email to GiveWell, December 27, 2011.
Data and calculations are in Small Enterprise Foundation, "Summary including APR and EIR." Data on '% of SEF loans' is from Small Enterprise Foundation, "Breakdown of loans by loan type."
Annual percentage rate (APR), effective interest rate (EIR) and monthly rate were calculated by GiveWell. Note that the APR is equal to 12 times the monthly interest rate, while the EIR fully incorporates "compounding," whose relevance to microloans is debatable. For more information on calculating interest rates for microfinance banks, see Langeman 2010.
| Length of loan | Repayment schedule | % of SEF loans | Monthly rate | Annual Percentage Rate (APR) | Effective Interest Rate (EIR) |
|---|---|---|---|---|---|
| 6 months | Monthly | 53% | 7.0% | 82-84% (depends on loan size) | 121-126% (depends on loan size) |
| 4 months | Monthly | 28% | 7.0% | 84% | 124% |
| 4 months | Every 2 weeks | 11% | 7.4% | 89% | 140% |
| 6 months | Every 2 weeks | 7% | 6.3% | 76% | 111% |
| 10 months | Monthly | 0.4% | 5.5-7.4% (depends on loan size) | 67-89% (depends on loan size) | 91-135% (depends on loan size) |
Roodman, “Interest Rates by Region.” Note that the interest rates reported by Roodman are adjusted for inflation (while SEF's are not, which would make SEF's appear higher), and that interest rates are typically higher for MFIs, like SEF, working with poorer customers.
SEF argues that it faces different constraints than other Sub-Saharan African MFIs: "SEF operates in an entirely different economy from other Sub-Saharan African countries. Its labour costs, which make up 68% of all costs, are far higher than those of other Sub-Saharan African countries. The GDP per capita for Sub-Saharan Africa in 2010 was $1286 whereas for South Africa it was $7275.
Not only are SEF’s costs much higher than those experienced in other Sub-Saharan African countries but SEF’s average outstanding loan (the basis for earning income) at $242 is substantially lower than that for Sub-Saharan African MFIs where the number is $359. (These figures were obtained from the MIX for 2010.)" John de Wit, email to GiveWell, March 6, 2012.
In 2009 and 2010, SEF disbursed a total of R 541,298,000. To be conservative, we assume a 6-month loan term (only 1% of loans have a longer term than this). Between January 2009 and June 2011 (the end of the period plus the length of one loan term), there was R 3,592,961 in death write-offs and other write-offs (which SEF calls bad debts). The sum of the stock of rescheduled loans and arrears in June 2011 (i.e. all loans that were neither repaid nor rewritten of as of that date) was R 483,076. Under the assumption that all debt disbursed in 2009-2010 was either repaid, written off or entered into arrears/rescheduled loans by 6 months into 2011:
Lower bound collection rate = (R 541,298,000 – R 3,592,961 – R 483,076) / R 541,298,000 = 99.25%
Data is from Small Enterprise Foundation, "Some Program Data." Loan term data is from Small Enterprise Foundation, "Breakdown of Loans by Loan Type."
We used the estimation method given by Rosenberg 1999, Pg 20:
Annual loss rate (ALR) = [(1 - collection rate) / (loan term)] * 2
SEF's average loan term is 0.435 years. Small Enterprise Foundation, "Breakdown of Loans by Loan Type."
Mix Market, "Small Enterprise Foundation MFI Report."
"[T]he Northern Province emerges as one of the poorest provinces in South Africa. Moreover, two of the three communities in which the CGAP/SEF study was undertaken are among the poorest in that province." van de Ruit, May, and Roberts 2001, Pg 39.
See also van de Ruit, May, and Roberts 2001, Pg 38, Table 14.
van de Ruit, May, and Roberts 2001, Pg 13.
van de Ruit, May, and Roberts 2001.
"The results for the poverty targeted scheme, TCP, show that clients are consistently poorer than non-clients." van de Ruit, May, and Roberts 2001, Pg 23.
See list in van de Ruit, May, and Roberts 2001, Pgs 17-18.
It was 32% in 2008 according to M-CRIL "Social Rating of SEF (2008)," Pg 5. However, John de Wit reported that it had fallen to 18% in an email to GiveWell on March 6, 2012.
"MCP [the non-targeted program] clients are better off than the non-clients." van de Ruit, May, and Roberts 2001, Pg 23.
"The current strategy is to expand only with TCP, and no new MCP branches have been established for a number of years." M-CRIL, "Social Rating of SEF (2008)," Pg 5.
"At the outset of the PPI pilot, three key methodological decisions were made to select clients for the pilot’s sample:
1) The PPI pilot would only apply to TCP branches.
2) PPI interviews would be conducted in all 16 TCP branches.
3) Each member of the Survey Team would be given a list of twice as many TCP clients as they would be required to interview, randomised by PWR score and client age.
The third decision was made in recognition of the fact that reliable addresses, or directions, for finding clients do not exist in most of SEF’s areas of operation...As Figures 3 and 4 demonstrate, this modus operandi yielded a representative sample of TCP clients by PWR score and client age, when compared with the underlying TCP population as of June 2007...By providing members of the Survey Team with lists of twice as many clients as needed, their reliance on SEF’s loan officers skewed the pilot’s sample towards TCP clients in loan cycle 1 – also referred to as ‘entering clients’ – as Figure 5 confirms." Small Enterprise Foundation, "Extract from Draft PPI Pilot Survey," Pgs 5-6.
Small Enterprise Foundation, "Extract from Draft PPI Pilot Survey," Pgs 4.
"[T]he PPI tool estimated 89.5% of all TCP clients as ‘poor’, using a $2/day poverty line... [and] 64.4% of all TCP clients as ‘very poor’, using a $1/day poverty line." Small Enterprise Foundation, "Extract from Draft PPI Pilot Survey," Pg 8.
South Africa has price level index (i.e. the ratio of PPP (US$=1) to official exchange rate (US$=1) multiplied by 100) of 61, according to World Bank 2005, Pg 23. $1 divided by 0.61 to adjust for the differences in price levels between South Africa and the U.S. is $1.64. $2 divided by 0.61 to adjust for the differences in price levels between South Africa and the U.S. is $3.28.
"In contrast, the indirect approach via poverty scoring is simple, quick, and inexpensive. It uses ten verifiable indicators (such as “What is the main source of cooking energy/fuel for this household?” or “Does the household own a refrigerator or freezer?”) to get a score that is highly correlated with poverty status as measured by the exhaustive survey." Chen 2009, Pg 1.
M-CRIL, "Social Rating of SEF (2008)," Pg 12.
“Does SEF continue to collect data on whether it is succeeding in its attempt to target people with low-incomes? Have client demographics changed since our last report?
Yes, we are still fully committed to serving those who live in poverty and continue to use our poverty targeting methodology, participatory wealth ranking (or PWR) to ensure this.
Client demographics are very much the same as in 2009.” John de Wit, email to GiveWell, December 27, 2011.
GiveWell, "Is borrowing good for the borrowers?"
"Cost per borrower: 128 (USD)" Cost per borrower = (Operating Expense / Average Number of Active Borrowers). Mix Market, "Small Enterprise Foundation MFI Report."
Small Enterprise Foundation, “Prioritized Need for Funds (2012).”
SEF: In the last two years, we've found that when we ask staff to collect social performance data, they deemphasize this in favor for the things they are rewarded for (arrears, dropout). We get data, but we're not sure of the quality of the reporting; the staff take shortcuts in collecting the social performance data.
The answer is to strengthen our quality assurance team by creating special “social auditor” positions, probably 4 total, and then do a lot more auditing of the social performance data, like size of business. We've also been experimenting with the progress out of poverty index (PPI) and participatory wealth ranking (PWR), and we want to be able to audit both of those.
The cost I mentioned in my email is the cost for four social auditors for one year.” John de Wit, phone conversation with GiveWell, January 19, 2012.
SEF: We currently facilitate savings with banks, but don't take them ourselves. In many places, our clients have to travel quite far to deposit their savings, and the banks tend to charge fees to make withdrawals or deposits. Fees could be $.50 or so, discouraging small savings.
So we want to know if SEF should start offering savings directly. We'd study the market for savings, look into the policy framework, and see if there's a good way for us to become a legal deposit-taker. We'd also look for a creative way to collect savings to reduce cost; right now the costs appear prohibitive.” John de Wit, phone conversation with GiveWell, January 19, 2012.
SEF: We've tried to us psychometric tests to determine people who have high potential. Our employees usually have a really weak educational background, but some are extremely strong employees. Our idea is to identify six people like that, take them out of their current jobs, and put them in some kind of management exposure program where they can develop more general skills.
We tend to have to hire from outside the organization for skilled posts, but we'd rather hire from inside.” John de Wit, phone conversation with GiveWell, January 19, 2012.
Small Enterprise Foundation, “Prioritized Need for Funds (2012).”
Response from the Small Enterprise Foundation:
The most rigorous research done on SEF's social impact was the IMAGE randomized control trial. While that study mainly compared the combination of microfinance + HIV/AIDs and gender empowerment training versus a control group the researchers also carried out additional research to compare microfinance alone versus a control group. This was reported in the Bulletin of the World Health Organization http://www.who.int/bulletin/volumes/87/11/08-056580/en/index.html
This paper may also be found on SEF's website at http://www.sef.co.za/files/03%20-http://www.sef.co.za/files/03%20-%20Kim...
Quoting from this paper: “Evaluation of the effects of the MF-only intervention against the control group revealed a clear pattern of improvement across all nine indicators of economic well-being, including household asset value, ability to repay debts and ability to meet basic household needs.”
A full collection of papers from the IMAGE randomized control trial may be found at http://www.sef.co.za/image-study