In this paper, the start-up process is split conceptually into four stages: considering entrepreneurship, intending to start a new business in the next three years, nascent entrepreneurship, and owning-managing a newly established business. We investigate the determinants of all of these jointly, using a multinomial logit model; it allows for the effects of resources and capabilities to vary across these stages. We employ the Global

We consider the effects of immigration and ethnicity on entrepreneurship, distinguishing between the individual traits and the environmental characteristics. We look beyond the resource-opportunity framework and occupational choice: culture and values matter. Yet, instead of assigning the latter to specific ethnic features, we relate them to both immigration, and to the social environment defined by the share of immigrants, and by ethnic diversity. Empirical evidence we provide is based on Global Entrepreneurship Monitor UK data, 2003-2013. Having more immigrants in the locality enhances entrepreneurship. With increase in ethnic diversity, the likelihood of being engaged in start-up activity decreases, then increases.

We consider the effects of immigration and ethnicity on entrepreneurship, distinguishing between the individual traits and the environmental characteristics. We look beyond the resource-opportunity framework and occupational choice: culture and values matter. Yet, instead of assigning the latter to specific ethnic features, we relate them to both immigration, and to the social environment defined by the share of immigrants, and by ethnic diversity. Empirical evidence we provide is based on Global Entrepreneurship Monitor UK data, 2003-2013. Having more immigrants in the locality enhances entrepreneurship. With increase in ethnic diversity, the likelihood of being engaged in start-up activity decreases, then increases.

This empirical study examines the extent to which risk aversion and entrepreneurial ability influence an individual's decision to enter into entrepreneurship. Precisely, it delineates the gender gap in self-employment, nascent and high growth entrepreneurship. In doing so, it utilises the Global Entrepreneurship Monitor South Africa databases containing 19,469 usable cases sampled between 2009 and 2014. The study adopts a quantitative approach and it applies an estimator in the form of a probit model and a non-linear decomposition technique to test established hypotheses.The results indicate that lower levels of knowledge and skills among women explain a substantial part of the gender gap. Thus, the gender gap in nascent and high growth entrepreneurship would be reduced if women had similar characteristics as men. Also, their entry rates into self-employment would be high and there would be no gender difference. This shifts the emphasis from the significance of risk aversion for local entrepreneurship to accentuate the importance of entrepreneurial-specific skills required to successfully engage in entrepreneurship.

This article examines the effects of immigration on entrepreneurship, making a distinction between the individual level and the neighbourhood characteristics. The study combined individual level drawn from the Global Entrepreneurship Monitor data with neighbourhood level data for the English Index of Multiple Deprivation East Midlands region in the UK and applied a maximum likelihood logit model to test the hypotheses. The empirical evidence suggests that there is no direct link between the internal immigrants and start-ups on the one side; yet, there is direct link between the external immigrants and start-ups on the other side. However, the findings point to the importance of indirect effect of neighbourhood characteristics, as external immigrants have a significant effect on an individual’s perception of new entrepreneurial opportunities which predicts start-up activity. Their presence in the neighbourhood has a positive monotonic effect on individual entrepreneurship. Therefore, the critical factor is not that external immigrants come with unique knowledge and skills they utilise in the creation of their own businesses, instead they produce positive local externalities enabling others to start-up businesses.