The concept of entrepreneurial ecosystems has quickly established itself as one of the latest 'fads' in entrepreneurship research. At face value, this kind of systemic approach to entrepreneurship offers a new and distinctive path for scholars and policy makers to help understand and foster growth-oriented entrepreneurship. However, its lack of specification and conceptual limitations has undoubtedly hindered our understanding of these complex organisms. Indeed, the rapid adoption of the concept has tended to overlook the heterogeneous nature of ecosystems. This paper provides a critical review and conceptualisation of the ecosystems concept: it unpacks the dynamics of the concept; outlines its theoretical limitations; measurement approaches and use in policy-making. It sets out a preliminary taxonomy of different archetypal ecosystems. The paper concludes that entrepreneurial ecosystems are a highly variegated, multi-actor and multi-scalar phenomenon, requiring bespoke policy interventions.

Writing in Small Business Economics Scott Shane argues that policy-makers should stop subsidising start-ups and instead focus on supporting the small subset of new businesses with high growth potential. However, both Shane and other scholarswho havemade the same argument only offer broad-brush proposals to achieve this objective. The aim of this article, in contrast, is to engage in a detailed discussion of how to create appropriate policies for high-growth firms (HGFs). Drawing on research in Scotland, we argue that policy-makers are looking for HGFs in the wrong places. The heterogeneous nature of HGFs in terms of sector, age, size and origins makes in impractical to target support on particular sectors, technologies or types of firms (e.g., new or R&D intensive). The article proposes a reorientation of HGFs, both in terms of appropriate targeting and forms of support. Public policy also needs to focus on the retention of HGFs which are acquired by non-local businesses. Finally, policy-makers need to properly reflect upon the specificities of their entrepreneurial environment when devising appropriate policy interventions

As COVID-19 spreads across the globe, a common public policy response has been to enforce the temporary closure of non-essential business activity. In some countries, governments have underwritten a proportion of the wage income for staff forced to furlough or broadened their welfare systems to accommodate newly laid off workers or small business owners. While these actions are helpful, they do not explicitly address the lack of sales trading activity on business income and cash balances. In commentary, we identify what types of businesses have been increasing their cash holdings in the lead up to COVID-19 as an indication of what types of small and medium-sized enterprises (SMEs) are most at risk if the lockdown extends for a protracted period of time. We find that only 39% of the of businesses were bolstering their cash balances leading up to COVID-19 which suggests that 61% of businesses may run out of cash, including 8.6% that had no retained earnings whatsoever with micro firms at particular risk. The importance of precautionary saving for SMEs is critical to enhance resilience when Black Swan events occur.

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This commentary explores the manner in which the current COVID-19 crisis is affecting key sources of entrepreneurial finance in the United Kingdom. We posit that the unique relational nature of entrepreneurial finance may make it highly susceptible to such a shock owing to the need for face-to-face interaction between investors and entrepreneurs. The article explores this conjecture by scrutinising a real-time data source of equity investments. Our findings suggest that the volume of new equity transactions in the United Kingdom has declined markedly since the outbreak of the COVID-19 pandemic. It appears that seed finance is the main type of entrepreneurial finance most acutely affected by the crisis, which typically goes to the most nascent entrepreneurial start-ups facing the greatest obstacles obtaining finance. Policy makers can utilise these real-time data sources to help inform their strategic policy interventions to assist the firms most affected by crisis events.