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on Knowledge Management and Knowledge Economy |
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Issue of 2018‒04‒30
four papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Nicolò Barbieri (Department of Economics and Management, University of Ferrara (IT)); Alberto Marzucchi (SPRU, Science Policy Research Unit, University of Sussex (UK)); Ugo Rizzo (Department of Economics and Management, University of Ferrara (IT)) |
| Abstract: | The paper contributes to our understanding of the nature and impact of green technological change. We focus on the search and impact spaces of green inventions, scrutinising the knowledge recombination processes leading to the generation of the invention and the impact of the invention on subsequent technological developments. Using a large sample of patents filed during 1980-2012, we analyse a set of established patent indicators that capture different aspects of the invention process. Technological heterogeneity is controlled for by comparing green and non-green technologies within similar narrow technological domains. Green technologies are found to be more complex and radical than non-green ones and to have a larger and more pervasive impact on subsequent inventions. However, the results show a variety of distinctive patterns with respect to the knowledge dimension considered. We derive some important policy implications. |
| Keywords: | environmental inventions, patent data, knowledge recombination, knowledge impact |
| JEL: | O33 O34 Q55 |
| Date: | 2018–04 |
| URL: | http://d.repec.org/n?u=RePEc:sru:ssewps:2018-11&r=knm |
| By: | Sara Calligaris (OECD); Chiara Criscuolo (OECD); Luca Marcolin (OECD) |
| Abstract: | This paper examines the evolution of firm mark-ups across 26 countries for the period 2001-14. It also discusses and investigates empirically how this can be related to the degree of digital transformation in sectors. Four main facts emerge: i) mark-ups are increasing over the period, on average across country; ii) this result is driven by firms at the top of the mark-up distribution, while the bottom half of the distribution exhibits a flat trend over time; (iii) mark-ups are higher in digital-intensive sectors than in less-digitally intensive sectors; (iv) mark-up differentials between digitally-intensive and less-digitally-intensive sectors have increased significantly over time. |
| Keywords: | Digitalization, Mark-Ups, Market Power, Technological Change |
| JEL: | D2 L1 L2 O33 |
| Date: | 2018–04–25 |
| URL: | http://d.repec.org/n?u=RePEc:oec:stiaaa:2018/10-en&r=knm |
| By: | Belzil, Christian (Ecole Polytechnique, Paris); Poinas, François (Toulouse School of Economics) |
| Abstract: | We estimate a structural model of education choices in which individuals choose between a professional (or technical) and a general track at both high school and university levels using French panel data (Génération 98). The average per-period utility of attending general high school (about 10,000 euros per year) is 20% higher than that of professional high school (about 8000 euros per year). About 64% of total higher education enrollments are explained by this differential. At the same time, professional high school graduates would earn 5% to 6% more than general high school graduates if they both entered the labor market around age 18. The return to post-high school general education is highly convex (as in the US) and is reaped mostly toward the end of the higher education curriculum. Public policies targeting an increase in professional high school enrollments of 10 percentage points would require a subsidy of 300 euros per year of professional high school. |
| Keywords: | education choices, returns to schooling, professional education, structural model |
| JEL: | C51 I23 J24 |
| Date: | 2018–03 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp11433&r=knm |
| By: | Koschatzky, Knut |
| Abstract: | The objective of this paper is to broaden the knowledge base on the topic of innovation-based regional structural change and to discuss the possibilities of raising structurally weak regions to a dynamic growth path by means of innovation-promoting measures. The background to this objective are political developments in Germany with regard to the development of a comprehensive German support system for structurally weak regions from 2020 onwards. While regional structural support (ERDF and German regional support) is so far essentially concentrated on regions in the eastern federal states, it should focus in future on structurally weak regions in all federal states and eliminate the differentiation between eastern and western Germany (Deutscher Bundestag 2016, 4). The experience gained in the eastern German states with the focus on innovation as a driver of structural change is intended to provide a starting point here, but taking into account the fact that some structural factors differ markedly between East German and West German regions. Against this background, this paper focuses on the innovation policy component of a system for promoting structural change in structurally weak regions. |
| Date: | 2018 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fisifr:r12018&r=knm |