IMPACT OF VILLAGE SAVINGS AND LOAN ASSOCIATIONS
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1 IMPACT OF VILLAGE SAVINGS AND LOAN ASSOCIATIONS FINDINGS FROM GHANA, MALAWI AND UGANDA BRAM THUYSBAERT WITH DEAN KARLAN (YALE) AND CHRIS UDRY (YALE) IPA-ADB-JPAL Bangkok conference September
2 Motivation Most of the world s poor lack access to formal financial services According to one World Bank estimate, 2.5 billion people don t have access to formal financial services Lack of access to reliable financial services may negatively affect welfare Economic or health shocks -> severe setbacks People may be unable to get sufficient capital together to invest in profitable economic activities Of course, informal savings tools exist
3 Motivation Saving at home Issues: Theft Social pressure Self-control Rotating savings and credit associations (ROSCAs) People meet regularly, make contributions and one person takes home the entire pot Safer Commitment feature But ROSCAs lack flexibility One pay-out Timing often set at beginning
4 The intervention Village savings and loan associations (VSLA) aim to improve upon ROSCA model How do VSLAs work? Around 25 members meet weekly (mostly women) At every meeting members make savings contributions (commitment) Members can take loans and repay with interest, providing interest on savings loans are typically repaid after 1 to 2 months with 10% interest rate At end of 10 to12 month cycle, fund is shared out in proportion to contributions Most VSLAs also have a social fund that provides either transfers or interest-free loans to members in need
5 The intervention Main advantages Compared to saving at home Safety Commitment Compared to ROSCAs More flexibility Allows to save up lumps sums and creates pool for risk sharing Cheap in terms of implementation No external capital Training in first cycle self-reliant afterwards Self-replicating through village agents Developed by CARE in 1991 in Niger and has spread to 58 countries with 6 million participants mostly in Africa but also in Asia and Latin America
6 The intervention
7 The intervention
8 Theory of change The hypotheses we test: H1: If VSLAs meet unmet demand for financial services, the intervention will increase financial savings and the use of credit H2: Through access to loans and the social fund, members will be able to cope better with unforeseen shocks and improve food security H3: Through loans and share-outs, VSLAs will spur investment in livestock, agriculture, small businesses and human capital H4: Participation in VSLAs renders women more powerful within the household and increases their involvement and influence within their communities H5: In the long run, VSLAs increase consumption levels and reduce poverty
9 The evaluation IPA is conducting large-scale, randomized evaluations of VSLAs in four countries to investigate impacts on households Uganda, Malawi and Ghana with CARE Mali with Oxfam (Saving for Change) Focus here is on Uganda, Malawi and Ghana Analysis for Mali still underway results soon! Since implementation is at the village level, so is the randomization (or cluster of villages) Two rounds of household surveys Baseline survey in 2008 in Ghana and in 2009 in Malawi and Uganda Endline surveys in first half of 2011 Information on health, education, income-generating activities, consumption, use of financial tools, social capital, etc. Sample of over 15,000 households in almost 950 rural villages
10 Take-up What percentage of women join a VSLA? 2 to 3 years after baseline 32% joined a VSLA in treatment villages 6% in control villages Very similar in Uganda and Ghana - lower take-up in Malawi More likely to join are women From wealthier households With small businesses (at baseline) With prior access to savings and credit Figure: Take-up 32% 6% 36% 8% Treatment Control 22% 3% 36% Pooled Ghana Malawi Uganda 6%
11 Use of VSLAs Savings contributions Figure: Loan uses 29% Typically between $.5 to $1 per week Median of $.66 13% 13% 12% 9% Credit Food Education Health Agriculture spending Business At endline, 68% of members had taken a VSLA loan Median loan size is about $20 Most frequent uses are small businesses, food, education, health and agriculture
12 Use of VSLAs Share-out Share-outs are typically $30 to $50 Figure: Share-out uses Most frequent uses for the VSLA loans are small businesses, food, agriculture and education 16% 16% 7% 8% 14% 13% 11%
13 H1: Financial management Savings Increase in total financial savings Loans Respondents in treatment areas report take more loans Total amount borrowed increases Some substitution away from other lending sources (formal, family and friends) Figure: Impacts on Financial Management Treatment Control Total savings Value of loans Net savings Evidence supports hypothesis that VSLAs meet previously unmet demand for savings and credit services
14 H2: Shocks Reactions to shocks Households in treatment areas are somewhat more likely to use loans from savings groups to cope with shocks less likely to sell assets, livestock or crops to deal with health shocks But effects are small (<2 percentage points) Recovery from shocks We don t see impacts Food security We see slight improvement in food security for adults
15 H3: Income-generating activities and investment Agriculture We don t see effects on agricultural input usage Businesses Increase in likelihood of running a business for women (from 18% in control to 20% in treatment) Income from businesses also increases Animal holdings and household assets We don t see impacts Human capital Non-robust evidence that school enrollment increases Should be considered suggestive
16 H4: Intra-household decision making and social capital Intra-household decision making Women in treatment villages are more likely to report having influence in household decision making Social capital We don t see impacts on our measures of Community participation: participation in groups, attend village meetings, etc. Political empowerment: feel people can change things, feel women should be involved in village decision making, etc Collective action: time spent on community work
17 H5: Consumption and poverty Do VSLAs increase food and non-food consumption and reduce poverty? We don t detect effects on Food consumption Non-food expenditures Poverty score (PPI)
18 Conclusion Popular program Relatively high take-up Program is spreading to control communities We find support for some of short run effects predicted by our theory of change Increase in financial savings and use of credit Business development Increased household decision making We do not detect impacts on Asset accumulation Ultimate welfare outcomes Evaluation is relatively short term - we cannot exclude that effects will materialize in the longer run In Mali study, exposure to VSLA is longer on average. Results soon!
19 Take-away Two readings Pessimistic We don t see welfare impacts Let s look for something else Optimistic Popular program Not revolutionizing lives But small changes Given that program is cheap, that s good enough
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