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Abstract
Regional income inequality is a topic of increasing relevance worldwide that has received considerable scientific attention. However, a clear-cut, comprehensive view has yet to be put forward of the main determinants of regional income inequality. Indeed, the extant empirical literature on the topic has reported differing results. Thus, this study develops a comprehensive meta-analysis using 33 comparable empirical studies spanning 29 years of research, involving 28 main determinants of which the most frequently mentioned were regional development, human capital, manufacturing/industry share, unemployment, financial development, and trade openness. After adjusting for publication bias and heterogeneity in the results reported by the primary studies, we conclude that the not very frequently addressed institutional related determinants (financial development, fiscal policies and public sector size), substantially contribute to reduce within-region income inequality, particularly in lower-income settings. In a smaller extent, human capital and trade openness also mitigate within-region income inequality. Region level of development, urbanization and, in a lesser extent, technological intensity aggravate within-region income inequality. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

Abstract
In the original publication the authors’ affiliations were incompletely represented. The complete affiliations are represented here. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature.

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Smart specialisation is a major driver of contemporary regional development policy in the European Union. Politicians, policymakers, and academics enthusiastically wave smart specialisation as the remedy that will fix the problems affecting previous policy rounds. The expectations towards the ‘remedial' effect of smart specialisation bear on the assumption that the policy approach will place the emphasis on what is unique in a given region by means of a so-called entrepreneurial process of discovery, basically a wide participatory process, underpinning a learning mechanism aimed at revealing the R&D and innovation domains in which that region can hope to excel. Universities are generally seen as central organisations in smart specialisation strategies, as made explicit in policy documents and academic papers. The chapter aims at knowing more about the power of smart specialisation policies to induce change in university-industry interactions and the promotion of sustainable growth.

Abstract
The scant literature that addresses issues related to the Technology Balance of Payments (TBP) often refers that a surplus balance may correspond to a high degree of technological autonomy, a low level of technology imports, or an inability to assimilate foreign technologies. It is not clear, however, from this literature whether, and to what extent, the balance of the TBP is related to countries' international competitiveness. The purpose of this paper is to detail the evolution of the TBP for Southern European countries and to assess the extent to which it influences these countries' international competitiveness. Using static and dynamic panel data techniques on data for four Southern European countries (Greece, Italy, Portugal and Spain) between 2000 and 2017, our results highlight that a positive TBP significantly contributes to foster countries' international competitiveness.

Abstract
Most empirical research on the effects of the economic downturns has been a-spatial and overlooked the location choices of creative industries (CIs). The present study addresses an open debate on whether economic downturns have pushed a change in the relative importance of resilience-based versus traditional CIs location factors. Considering the location choices of 6332 CIs Portuguese start-ups in the period 2005-2012, we found that: (1) the crisis brought changes in the relative importance of location factors, enhancing traditional CI location factors such as technology and diminishing the relevance of resilience-based factors related to regions industrial specialisation; (2) resilience-based factors, such as industrial diversity, higher education, cultural and social networking and traditional CI factors, namely lower social inequality and life quality, were robust drivers for the emergence of new start-ups all over the period; and (3) although cultural policy significantly and positively support the emergence of new CIs start-ups in the crisis period, the austerity period reversed that role. Our results suggest that the sustainable development of regions implies encompassing public stimulus to the generation of a diversified, interdependent network of creative activities, able to enhance innovation through their own synergies and linkages with the rest of the economy.