The role of innovation and human capital for the productivity of industries:
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...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2021
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Schriftenreihe: | OECD Science, Technology and Industry Policy Papers
no.103 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. |
Beschreibung: | 1 Online-Ressource (50 p.) |
DOI: | 10.1787/197c6ae9-en |
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spelling | Cammeraat, Emile VerfasserIn aut The role of innovation and human capital for the productivity of industries Emile, Cammeraat, Lea, Samek and Mariagrazia, Squicciarini Paris OECD Publishing 2021 1 Online-Ressource (50 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Science, Technology and Industry Policy Papers no.103 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. Science and Technology Samek, Lea MitwirkendeR ctb Squicciarini, Mariagrazia MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/197c6ae9-en Volltext |
spellingShingle | Cammeraat, Emile The role of innovation and human capital for the productivity of industries Science and Technology |
title | The role of innovation and human capital for the productivity of industries |
title_auth | The role of innovation and human capital for the productivity of industries |
title_exact_search | The role of innovation and human capital for the productivity of industries |
title_full | The role of innovation and human capital for the productivity of industries Emile, Cammeraat, Lea, Samek and Mariagrazia, Squicciarini |
title_fullStr | The role of innovation and human capital for the productivity of industries Emile, Cammeraat, Lea, Samek and Mariagrazia, Squicciarini |
title_full_unstemmed | The role of innovation and human capital for the productivity of industries Emile, Cammeraat, Lea, Samek and Mariagrazia, Squicciarini |
title_short | The role of innovation and human capital for the productivity of industries |
title_sort | role of innovation and human capital for the productivity of industries |
topic | Science and Technology |
topic_facet | Science and Technology |
url | https://doi.org/10.1787/197c6ae9-en |
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