Benchmarking microfinance

8 September 2022

In the last few years we have seen a notably bleaker narrative around our efforts to end global poverty. Severe impacts of climate change, lingering effects of an unprecedented pandemic, and a looming food insecurity crisis: all suggest that the challenges we face in achieving the UN Sustainable Development Goals (SDGs) set in 2015 are more daunting than ever.

Global economic and political challenges mean that resources to support poverty relief programs are finite. It’s clear that – as we pass the half-way point to 2030 – if we are to reach the SDGs we need to allocate those resources as efficiently and effectively as possible.

Now more than ever, there is a pressing need to understand which solutions are most effective in helping the vulnerable, in order to channel funding where it will have the greatest impact on poverty and inequality. However, one of the longest standing problems in international development is the difficulty of comparing outcomes across different programs.

As one of the largest and fastest growing sectors in development, microfinance is a good example of this problem. Over the past five decades, microfinance institutions (MFIs) have sprung up across the Global South to provide financial services to previously unserved low-income, remote and rural households. The sector now serves over 140 million households, and access to finance can be transformative, allowing microfinance clients to start or grow small businesses, cover medical costs or pay children’s school fees. However, research also shows that client outcomes are highly dependent on many different ‘performance’ factors for providers, for example how carefully clients are selected, how well staff are trained, and how effectively the institution trains clients.

As with any other area of development work, we could get more bang for our development buck if we could identify the highest performing institutions and redirect our finite funding to those providers. But such efforts have until now been stifled by a lack of good quality, comparable and complete data.

A new initiative is aiming to change this. The 60 Decibels Microfinance Index was launched earlier this year to provide comparable outcomes data across the microfinance sector.

60 Decibels uses a lean-data approach to data collection. Expert enumerators survey a sample of clients by telephone to understand their experience with the MFI, for example, to what extent have they seen an increase in income and savings, an improvement in quality of life, or increased their spending on education, essential healthcare costs or home improvements.

Using this approach, 60 Decibels surveyed a total of 18,000 microfinance clients across 72 MFIs in 41 countries in the first three months of 2022, completing analysis of the data and publishing results from their Microfinance Index in June. Each of the 72 participating MFIs received a report detailing results for their sample of 200–250 clients across 18 key indicators, and how each of these results compared with regional and global benchmarks for all 72 MFIs. Institutions can identify where they perform well, and where they perform below average, leading to action to address specific challenges and shortfalls.

International development networks participating in the initiative are using these benchmarks to better direct investment. One of those networks is Opportunity International, a global non-profit that has funded microfinance in developing countries for over 40 years. Nine of Opportunity’s microfinance partners participated in the first year of the Microfinance Index, and results were positive.

It was found that Opportunity’s partners do a good job of reaching households who did not previously have access to finance; a majority of clients reported an improvement in quality of life thanks to the microfinance services received; microfinance services improved client resilience, increasing savings balances and improving the ability of clients to meet unforeseen expenses; and clients generally reported few problems in making loan repayments.

Perhaps more importantly, the results also showed a broad range of performance across Opportunity’s partners. For example, a much larger percentage of clients increased savings in the best case, compared to the lowest performing partner. These variations allow Opportunity to reward high performers with additional funding, and work with the remaining partners to address challenges and help them improve performance.

Based on the success of the Microfinance Index in its first year, 60 Decibels hopes to double the size of the survey in year two, covering 150 MFIs who collectively serve 50 million clients, or around a third of the microfinance sector, and providing national outcome benchmarks for the first time. 60 Decibels plans to take the same approach with the energy sector next, allowing institutions that are connecting remote and rural communities to the grid, or providing solar-powered lighting or clean cooking stoves, to compare themselves with their peers.

This innovation in data collection, analysis and benchmarking should lead to more effective allocation of development funding across all parts of the development sector. We might also expect an increase in overall funding for international development thanks to greater confidence about outcomes and the ability to ensure value for money in development spending.

As the challenges of meeting the SDGs seem tougher than ever, this data-driven approach to understanding performance and allocating resources will be an important spur to more effective and impactful international development programs.

Authors

Calum Scott

Calum Scott is Global Impact Director for Opportunity International. He leads Opportunity’s program to promote best practices in client-focused financial inclusion, and impact measurement and reporting, across Opportunity’s global network of microfinance and development partners.

Comments

  1. “Global economic and political challenges mean that resources to support poverty relief programs are finite. It’s clear that … we need to allocate those resources as efficiently and effectively as possible.” Calum Scott

    Agreed. There is an enormous need to identify what works and support it in a big way. Are micro finance providers (MFP) then a major part of the answer? Possibly.

    Understandably, MFP like all lending institutions focus upon the capacity of the borrower or in the case of MF, the borrower and their peer group to repay the debt.

    While we understand that the model pioneered by the Grameen bank was a huge success in Bangladesh, this model has not translated well in Papua New Guinea for example.

    As a tool to lift rural people out of poverty on a family by family basis it is largely a nonstarter because culturally that model does not integrate well within Melanesian communities. Individuals at the bottom of the social hierarchy are not of themselves agents for change in these societies.

    It is true that PNG Microfinance, Village Bank and others have had a modicum of success but in each instance, they became reliant upon retaining a handful of success stories that developed into SMEs to cover costs.

    Rather than focus upon the individual households as agents for change, I am of the view that mobilising whole communities around common goals resonates more strongly in these settings.

    If an idea resonates strongly enough in a community or group of community settings, there is the possibility of reaching the economies of scale to effect real change. This idea has been demonstrated in Western Province, PNG. The single largest province by area, most sparsely populated, with least accessibility to basic services and 4 km from Australia’s northernmost border.

    An industry built around family rubber blocks, started by a visionary thinker in the 1960s is today collecting rubber from close to 10,000 families each of whom can expect returns of around AUD$800-1,000 per annum.

    Each block was funded by a MFP as part of a broader vision supported by the necessary transport and downstream processing to create impact at language and cultural group scales.

    This model of economic empowerment which integrates well within cultural and social norms, can reach the economies of scale to also bring positive change to health and education outcomes on a significant scale.

    I suggest that this type of integrated approach is where Australia, as the leading provider of development assistance to PNG, should be directing greater focus to.

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