We examine the relationship, across 39 countries, between regulation and entrepreneurship using a new two-equation model. We find the minimum capital requirement required to start a business lowers entrepreneurship rates across countries, as do labour market regulations. However the administrative considerations of starting a business – such as the time, the cost, or the number of procedures required – are unrelated to the formation rate of either nascent or young businesses. Given the explicit link made by Djankov et al. [Djankov et al. 2002, ‹The Regulation of Entry’, Quarterly Journal of Economics 117(1), 1–37] between the speed and ease with which businesses may be established in a country and its economic performance – and the enthusiasm with which this link has been grasped by European Union policy makers – our findings imply this link needs reconsidering.

Using Global Entrepreneurship Monitor data for 29 countries this study investigates the (differential) impact of several factors on female and male entrepreneurship at the country level. These factors are derived from three streams of literature, including that on entrepreneurship in general, on female labour force participation and on female entrepreneurship. The paper deals with the methodological aspects of investigating (female) entrepreneurship by distinguishing between two measures of female entrepreneurship: the number of female entrepreneurs and the share of women in the total number of entrepreneurs. The first measure is used to investigate whether variables have an impact on entrepreneurship in general (influencing both the number of female and male entrepreneurs). The second measure is used to investigate whether factors have a differential relative impact on female and male entrepreneurship, i.e. whether they influence the diversity or gender composition of entrepreneurship. Findings indicate that – by and large – female and male entrepreneurial activity rates are influenced by the same factors and in the same direction. However, for some factors (e.g. unemployment, life satisfaction) we find a differential impact on female and male entrepreneurship. The present study also shows that the factors influencing the number of female entrepreneurs may be different from those influencing the share of female entrepreneurs. In this light it is important that governments are aware of what they want to accomplish (i.e. do they want to stimulate the number of female entrepreneurs or the gender composition of entrepreneurship) to be able to select appropriate policy measures.