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on Economics of Strategic Management |
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Issue of 2021‒03‒22
three papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Federica Rossi (Birkbeck, University of London, UK); Ana Colovic (NEOMA Business School, France); Annalisa Caloffi (University of Florence, Italy); Margherita Russo (University of Modena and Reggio Emilia, Italy) |
| Date: | 2021–02 |
| URL: | http://d.repec.org/n?u=RePEc:img:wpaper:49&r=all |
| By: | Emile Cammeraat (OECD); Lea Samek (OECD); Mariagrazia Squicciarini (OECD) |
| Abstract: | This paper sheds light on the relationship between innovation, human capital endowment and upgrading, organisational capital (OC) and labour productivity. In addition to assessing correlations, it uses a Heckman selection model to address causal links and to account for the ways in which skills and investment in R&D affect the probability of innovating. The analysis finds that innovative output, the proportion of OC-related workers, investment in training (especially in informal training) and physical capital intensity are positively and significantly related to productivity. In most estimates ICT skills, cognitive skills and the presence of highly skilled workers in an industry also emerge as having a significant and positive relationship with productivity. ICT skills further appear to indirectly shape productivity, through a positive relationship with innovation. |
| Keywords: | Human Capital, ICT, Innovation, Labour Productivity, Organisational Capital, Patent, R&D, Skills, STEM, Training |
| Date: | 2021–03–16 |
| URL: | http://d.repec.org/n?u=RePEc:oec:stiaac:103-en&r=all |
| By: | Burcu Ozgun; Tom Broekel; |
| Abstract: | Variations in the frequency and tone of news media are the focus of a growing literature. However, to date, empirical investigations have primarily confirmed the existence of such differences at the country level. This paper extends those insights to the subnational level. We provide theoretical arguments and empirical support for systematic regional variations in the frequency and sentiments of news related to innovation and new technologies. These variations reflect regional socio-economic structures. We find that the average newspaper circulating in urban areas features more news on innovation and new technologies than media in more rural areas. Similar endings hold for locations in East Germany and to a certain degree for regions with low unemployment. The sentiments of innovation and new technology news are negatively associated to the unemployment rate, and they tend to be lower in regional newspapers than in national ones. Overall, our results suggest a strong link between the regional socioeconomic conditions and how newspapers circulating in these places report on innovation and new technologies. |
| Keywords: | innovation, technology, news media, sentiment analysis, topic modeling |
| JEL: | O33 R12 L82 |
| Date: | 2021–03 |
| URL: | http://d.repec.org/n?u=RePEc:egu:wpaper:2110&r=all |