This paper analyses whether different measure of entrepreneurship can explain economic growth. It utilises 14 difference indicators of entrepreneurship to analyse the contribution of entrepreneurial activity, aspirations, and attitudes to Gross Domestic Product (GDP) per capita. It also examines whether the importance of entrepreneurship varies across high-income and middle/low-income countries. An unbalanced panel of 55 countries over the time period 2004-2011 is used. Fourteen different indicators of entrepreneurship are utilised and are condensed into three components using principle components analysis. Regression analysis is then used to assess whether these three different components of entrepreneurship drive economic growth. The results indicate that entrepreneurial attitudes are found to stimulate GDP per capita in high-income countries while entrepreneurial activity is found to have a negative effect in middle/low-income economies.

PurposeThis paper combines the concepts of search depth and cognitive proximity to investigate the impact of intense collaboration with different external agents on firms' innovation performance. It empirically tests whether firms that draw deeply on cognitively proximate collaborative partners are more innovative than those collaborating intensively with cognitively distant partners. It explores whether the impact of each external agent is equally important in determining the innovation output of firms.Design/methodology/approachUsing data from the Irish Community Innovation Survey 2012–2014, this paper employs a probit model to empirically test the impact of collaboration with cognitively proximate and distant sources of external knowledge to establish whether their impact on innovation performance is uniform.FindingsThe results show that not all collaborators equally impact firm innovation performance. Firms who indicate that knowledge sourced from backward linkages with suppliers is highly important are more likely to engage in both product and process innovation, with the effect more pronounced for the former. The extent of this is greatest for backward linkages compared to forward, horizontal and public linkages. Public linkages have the weakest impact on innovation output which raises questions from a policy perspective given the focus on university–industry collaboration for innovation. The findings indicate that collaboration with cognitively proximate sources of knowledge benefits firms' innovation output.Originality/valueThe study provides empirical evidence on the role of intense collaboration with cognitively proximate and distant external knowledge sources to explore their impact on the subsequent innovation performance of firms. The results can be used to help shape firm-level innovation policy, and indeed national policy, to promote innovation performance.

This research focuses on the impact of regional entrepreneurial activity on employment growth. Specifically it analyses whether new firm formation in European NUTS-2 regions can stimulate job creation and drive employment growth.

This paper analyses the knowledge sourcing, transformation, and exploitation stages of the innovation value chain for a sample of Irish small to medium sized enterprises (SMEs) using Community Innovation Survey data. It explores the role of internal research and development (R&D) and external knowledge on SMEs’ innovation and performance. The open innovation paradigm, which stresses the importance of external linkages, is used to examine the impact of different external knowledge sources on SMEs’ innovation. The consideration of external linkages in the innovation performance of SMEs is crucial as these firms may be constrained in their ability to perform R&D due to their size. The analysis expands the traditional CDM methodology beyond the consideration of research and development as the sole source of knowledge for innovation by also considering a range of potential external knowledge sources. The findings indicate that SMEs generate knowledge internally through the performance of R&D, while also exploiting linkages to external agents. However, the impact of external sources of knowledge is not uniform. The results suggest that backward linkages have a positive impact on SME product innovation, but negatively affect SME process innovation, while public knowledge sources are positively related to the probability of product innovation occurring. This may have important policy implications. Finally, process innovation is also found to be a key determinant of SME productivity, while product innovation has no impact on SME performance.

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