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on Knowledge Management and Knowledge Economy |
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Issue of 2017‒04‒02
five papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Paul J.J. Welfens (Europäisches Institut für Internationale Wirtschaftsbeziehungen (EIIW)) |
| Abstract: | European economic recovery has made progress since the Banking and the Euro Crises, respectively, however there is still need for broader strategic growth progress in the EU. Following the BREXIT referendum result, medium term output forecasts for many European countries have seen a downward revision by the IMF WEO Update of July 19th, 2016. Europe could raise economic growth through a quintuple package: namely, a first element of growth-enhancing policy focusing on the Eurozone, a second element with emphasis on Eastern European EU countries and a third element with a broad emphasis on European infrastructure investment and digital modernization that would include the UK and other non-EU countries in Europe. The list of 11 growth drivers identified by MGI could largely be implemented at the national policy layer. Moreover, the Eurozone countries could adopt a virtual fiscal policy fund for part of both infrastructure and military expenditures so that a better policy mix and more efficient stabilization will be achieved. The UK and the EU27 countries should agree to set up a joint climate R&D funding agency in which the UK and the EU27 would jointly contribute funds so that sustained green innovation and growth projects could be financed in Europe. Beyond new institutions, other growth-enhancing measures which have a clear analytical basis should be adopted. A growth-enhancing G20 element as a follow-up to the Brisbane summit approach would be useful. A decisive focus of a success-promising plan for a dynamic EU27 and Europe, respectively, should be on understanding that the 21st century will be largely digital, shaped by Asian countries and Schumpeterian dynamics. Thus, securing FTAs between the EU and ASEAN, Japan and India are key challenges. A special joint fund for training/retraining in Eastern Europe would also be useful for economic convergence and reduced inequality. |
| Keywords: | Growth, Brexit, R&D, Research, Development, EU, Europe,Institutions, Policy, Reforms |
| JEL: | O11 O3 O43 E02 F5 |
| Date: | 2017–03 |
| URL: | http://d.repec.org/n?u=RePEc:bwu:eiiwdp:disbei231&r=knm |
| By: | Burhan, Nik Ahmad Sufian; Che Razak, Razli; Rosli, Muhamad Ridhwan; Selamat, Muhamad Rosli |
| Abstract: | Intelligence quotient (IQ) scores are normally distributed within a nation’s population. In a cross-country regression, Burhan et al. (2014, Intelligence, 46, 1–8) had statistically proven that intellectual class represented by the 95th percentile IQ had contributed most to economic growth. Those with average ability (50th percentile IQ) contributed second most, followed by the non-intellectual class (5th percentile IQ). Also, the researchers found that only the intellectual class was significant for technological progress. This paper reanalyzed their dataset using robust regressions. After eliminating some outliers, the IQs of the intellectual class and average ability group were found to have equal impacts on economic growth, and the impacts were larger than that of non-intellectual’s. Furthermore, the IQ of the average ability group was significant on technological achievement although not as strong as the intellectual class. Nevertheless, the number of professional researchers employed in research and development (R&D) sector did not give the same paramount effects as the impact of the average ability IQ in generating technological progress. Based on the conclusions drawn, it will be better for R&D sectors to employ professionals who possess not only high academic qualifications, but also exceptional levels of cognitive skills to develop new innovations. |
| Keywords: | economic growth; technological achievement; intelligence; social class; robust regression |
| JEL: | I25 J24 O3 O47 Z13 |
| Date: | 2017–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:77469&r=knm |
| By: | Matthew Ainurul Rosli (University of Wolverhampton); Federica Rossi (Birkbeck, University of London) |
| Date: | 2015–07 |
| URL: | http://d.repec.org/n?u=RePEc:img:wpaper:24&r=knm |
| By: | Francesco Aiello; Giuseppe Albanese; Paolo Piselli (Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF, Università della Calabria) |
| Abstract: | This paper evaluates the impact of R&D public support on the innovation activities of a sample of Italian SMEs. Unlike most of the literature, the analysis focuses more deeply on the innovation output than on the innovation input. The innovation output is measured through patent data. By using a new data set obtained by combining information from EPO records and the Capitalia data set on Italian corporations, we find that publicly supported firms have similar patenting activity to other R&D performers, regardless of the type of policy tool used to foster innovation. However, as far as patenting is concerned, supported SMEs face higher R&D spending than others. |
| Keywords: | Patents, R&D policy support, SMEs |
| JEL: | O31 O38 L1 C21 |
| Date: | 2017–03 |
| URL: | http://d.repec.org/n?u=RePEc:clb:wpaper:201702&r=knm |
| By: | Ham, John C.; Weinberg, Bruce A. |
| Abstract: | Using a new identification strategy and unique, rich data on Nobel laureates, we show that being in new or multiple locations, as measures of exposure to novel combinations of ideas, and the number of other local important innovators, all increase the probability that eventual Nobel laureates begin their Nobel prize winning work. Strikingly, and consistent with our identifying assumptions, we find that none of these measures increase the probability of doing Nobel prize winning work. Our results strongly suggest that spillovers affect the generation of ideas, and help us understand the weak spillover effects previously estimated in the economics literature. |
| Keywords: | Knowledge spillovers,Innovation,Nobel Prize,Duration models |
| Date: | 2017 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:glodps:30&r=knm |