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Social Impact Investing

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

is important to further understand the evolution and behaviour of the SII market to inform policymakers of<br />

any regulatory adjustments that might be needed. On the other hand, data collection efforts should also<br />

serve to inform investors about SII market potentiality.<br />

6.75 Priority should be given to capturing objective data before stepping into areas where definitions<br />

are not yet established and data is deemed subjective. This may apply to either demand, supply or<br />

transaction data. However, given that transaction data usually entails some information on both demand<br />

and supply, a thorough collection of this type of data can be a valuable starting point. In early stages of<br />

market development surveys can be a valuable tool. However, these are resource intensive and entail<br />

significant challenges in terms on ensuring representativeness. In the long run, data collection needs to be<br />

based on standardised reporting because, as the market grows, surveys will become increasingly expensive.<br />

6.7. Possible Future Approaches for Data Collection<br />

6.76 Different players are engaged in collecting data on SII components from different angles, with<br />

different approaches and using different definitions. The plethora of new initiatives and reports attempting<br />

to size the SII market is a positive trend and suggests growing interest in understanding SII. However it<br />

makes it harder to identify key sources of data and compare and consolidate estimates. In addition, effort<br />

duplication and data overlapping is a serious risk. Collaboration between those players currently involved<br />

in data collection efforts is key. Some steps in this direction are already being taken. For example, the<br />

“<strong>Social</strong> Investment Research Council” was recently created in the UK to consolidate research efforts and<br />

avoid duplication. 31 Also, efforts to increase data comparability across countries are being made through<br />

initiatives such as the GIIN or the work of the SIITF.<br />

6.77 To ensure comparability across data collection efforts taking place in different geographies,<br />

metadata is crucial as it helps understanding what exactly is available and how detailed are currently<br />

available data. This is particularly relevant when SII definitions are not yet established. Moreover,<br />

transparency requirements can help moving towards common standards. Such transparency requirements<br />

might be burdensome on the different players involved in the market, but they necessarily come with a<br />

standardisation exercise, whose benefits can outweigh the costs. It is however important to note that<br />

standards might limit the scope for innovation. The right balance should be found so that the<br />

standardisation procedure does not gridlock the SII market and prevents it from further innovating and<br />

growing.<br />

6.78 A system based on automatic reporting would bring some advantages in terms of coverage and<br />

quality of the data. Such data can then be complemented with further information collected via surveys for<br />

specific purposes. Data reporting can be very costly for companies (especially for small social businesses),<br />

investors, intermediaries, while a significant part of the data obtained might end up not being used. It is<br />

important to note that the direct benefits SII players accrue from reporting are relatively small, so the<br />

adequate incentive mechanism needs to be put in place.<br />

6.79 Requiring certification is an approach that can work as an incentive for companies to make the<br />

effort to report. By being certified (see Box 6.6 for the case of B-corp certification procedure), social<br />

enterprises gain more visibility as was as it sends a positive signal to potential investors. The certification<br />

procedure by B-corp is burdensome as it involves a survey, an interview, request for documentation and<br />

random checks, but it guarantees high data quality standards.<br />

31. The <strong>Social</strong> Investment Research Council is a joint venture between Big Society Capital, Big Lottery Fund,<br />

City of London, Citi and the Cabinet Office.<br />

© OECD 2015 101

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