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SOCIAL IMPACT INVESTMENT: BUILDING THE EVIDENCE BASE<br />

6.87 Collecting data is costly and its value is often not fully appreciated by the industry and\or<br />

policymakers. While costs should be minimised and data collection efficiency strived for, it is clear that<br />

further resources should be deployed into gathering the evidence base. For example, small grants or<br />

lottery-type prizes can be provided as an additional incentive for organisations to report data (Bloom and<br />

Clark, 2011). The efforts need to be made jointly between all SII market actors. Better data would be<br />

important for delivery organisations that would get more visibility, investors that would know better where<br />

to allocate their money, intermediaries that would be able to provide a better offer of investment products,<br />

as well as policymakers to fully understand whether the SII model is superior and should be further<br />

supported and incentivised.<br />

6.88 Providing comprehensive information can be a significant burden for delivery organisations.<br />

However, requiring specific information (e.g. impact measurement) for funding purposes is a key incentive<br />

for investee reporting that can be aligned with investor interests. Further efforts are needed to embed a data<br />

reporting culture in delivery organisations – and also in supply side organisations and intermediaries.<br />

Incentives for investor reporting, likely via intermediaries or investors networks, can include disclosure of<br />

part of the available data or even granting access to a dataset on potential SII investment. Also, ensuring<br />

that investors report actual (instead of potential) returns is essential to guaranteed data reliability.<br />

Incentives based on data exchange arrangements can also be important to bring SII intermediaries together<br />

in a platform or a network for data exchange.<br />

6.89 Data collection also requires technological infrastructure. It is important to have a simple<br />

infrastructure where all data can be put in. A possible way to further advance on data collection and<br />

comparability in the long run could be to work towards creating a platform in which players currently<br />

engaged in data collection (from the different parts of the SII framework) could come together and share<br />

information.<br />

6.90 At a first stage, increased collaboration among a few key players through meetings to share<br />

experience and data can contribute to further advancing the understanding about the SII market. At the<br />

OECD SII Expert Meetings it was noted that the group of experts could be drawn upon to help move<br />

beyond proprietary data, generate consensus and have a “clear” model for data collection. It would be<br />

important that data shared in such platform is made freely available on an open-source basis, keeping in<br />

mind that organisations collecting data also have to appropriate some value from their efforts.<br />

6.91 Optimal data on SII is currently not feasible to obtain, but it is important to push the discussion<br />

forward. It is however important to bear in mind that data collection should not become an end in itself and<br />

the purposes for data collection need to be a priori clear. The bulk of systematic evidence on SII will likely<br />

come from private data sources in earlier stages of market development. Fostering the collaboration<br />

between the different organisations collecting SII data through in surveys, polls and other approaches is<br />

key. While reaching a common understanding about definitions is vital, agreeing on a methodology to<br />

collect comparable cross-country data could provide the evidence base for a better understanding of the SII<br />

market. It can also help in the analysis of the role that policymaking can play in this area. Drawing upon<br />

private and other types of finance to meet public objectives is an opportunity, but one which requires a<br />

good understanding of the incentives of the different players involved.<br />

104 © OECD 2015

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