Understanding Firm Growth
Helping SMEs Scale Up
Few small and medium-sized enterprises (SMEs) scale up, but these few fast growing firms are the major driver of new jobs added to OECD economies. This report helps policy makers get a grip on growth of those few SMEs by considering the transformation they undergo before, during and after their high-growth phase. Based on analysis of detailed firm-level data in a pilot project implemented for Finland, Italy, Portugal, the Slovak Republic and Spain, the report shows that SMEs in all types of places, of all ages and in all sectors have the potential to scale up. The strength of the potential does, however, vary. Getting a grip on growth of SMEs can pay important dividends as scalers contribute the majority of new jobs created by SMEs during their high-growth phase, but also continue to contribute positively to aggregate job creation and aggregate growth in turnover in the following years. A closer look at the characteristics of SMEs that scale up compared to similar “peers” that do not, shows that scaling is likely a strategic choice and includes investments and other preparatory transformation in the years preceding scaling up.
Executive summary
Scalers are firms that undergo a period of high growth in employment or turnover by transforming the way they operate. OECD countries routinely collect and disseminate information on high-growth firms but little is known about the factors that support high growth, the transformations that accompany high growth, and the ability of firms to sustain their new scale. One key challenge is that aggregate data, even when broken down by sector and size, struggles to capture the full diversity of scalers and in particular the factors driving or acting as barriers to their transformation and success. This report shows how to achieve substantial progress in filling knowledge gaps by leveraging on confidential firm-level microdata that combines firms’ balance sheets with information on imports and exports and detailed information on workers. By using microdata, it is possible to respond to a range of questions that cannot be answered by aggregate data currently disseminated by national statistical offices.
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