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

6.42 Examples of the use of this approach can be found in measurement exercises focusing on<br />

potential funding from institutional investors or funding from governments. As an example, work being<br />

carried out by NABs has provided information on the scope of public expenditures and public procurement<br />

based on National Accounts aggregates. The potential SII demand was identified by narrowing down to<br />

social service delivery funded by government. Another potential use of this approach is the measurement<br />

of potential investments by institutional investors as described in section 6.3.2.<br />

6.4.2. Bottom-up approach<br />

6.43 A different approach to sizing SII components is to focus on individual units (e.g. social<br />

enterprises, specific types of investors or intermediaries). This approach requires that sufficiently detailed<br />

information is available at a high level of disaggregation that allows identifying individual units within SII.<br />

Information to identify SII delivery organisations would include sector of economic activity, legal form,<br />

business description\mission, inter alia. This information could either come from NSO micro databases or<br />

from commercial data providers. As a second step, it is then essential to understand whether the individual<br />

units gathered represent the population or a subset of it. In the most likely case that it only represents a<br />

subset of the population, it is important to ensure that the sample is representative (e.g. through observing<br />

characteristics contained in the data). Finally, based on the information gathered, the SII component can be<br />

measured either through aggregation (if the population is observed) or by inference (if using a subset of the<br />

population).<br />

6.44 The key challenge of using this approach is ensuring that either the whole population is observed<br />

or the sample is representative. Section 6.6 discusses sampling challenges at length. The emphasis given to<br />

NSOs derives from the fact that they usually provide information on a population set or at least on a<br />

representative sample. In addition NSOs have expertise in collection of high quality data in a consistent,<br />

cross country comparable way. The United Nations Handbook on Non-Profit Institutions in the System of<br />

National Accounts (UN, 2003) provides guidance for NSOs to identify and collect data on NPIs. An<br />

interesting feature is the practical solution to the measurement approach to non-market output (i.e. social<br />

impact). As a long term goal, it would be important to consider agreement on definitions and legal<br />

structures in such a way that (demand) data can be collected in a systematic and internationally comparable<br />

way by NSOs.<br />

6.45 Examples of this approach can be found in efforts to size the demand side of the SII framework<br />

(specifically measuring the social enterprise sector). In a study of the Italian social enterprise sector, Fedele<br />

and Miniaci (2010) use commercial data sources (Amadeus database from Bureau van Dijk) to distinguish<br />

the capital structure of cooperatives (proxy for social companies) vis a vis for profit enterprises.<br />

© OECD 2015 93

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