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on Economics of Strategic Management |
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Issue of 2022‒10‒03
four papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Leogrande, Angelo; Costantiello, Alberto; Laureti, Lucio |
| Abstract: | In this article we investigate the determinants of “New Doctorate Graduates” in Europe. We use data from the EIS-European Innovation Scoreboard of the European Commission for 36 countries in the period 2010-2019 with Pooled OLS, Dynamic Panel, WLS, Panel Data with Fixed Effects and Panel Data with Random Effects. We found that “New Doctorate Graduates” is positively associated, among others, with “Human Resources” and “Government Procurement of Advanced Technology Products” and negatively, associated among others, with “Total Entrepreneurial Activity” and “Innovation Index”. We apply a clusterization with k-Means algorithm either with the Silhouette Coefficient either with the Elbow Method and we found that in both cases the optimal number of clusters is three. Furthermore, we use the Network Analysis with the Distance of Manhattan, and we find the presence of seven network structures. Finally, we propose a confrontation among ten machine learning algorithms to predict the value of “New Doctorate Graduates” either with Original Data-OD either with Augmented Data-AD. Results show that SGD-Stochastic Gradient Descendent is the best predictor for OD while Linear Regression performs better for AD. |
| Keywords: | Innovation, and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation. |
| JEL: | O3 O30 O32 |
| Date: | 2022–09–06 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:114452&r= |
| By: | Katrin Hussinger (Université du Luxembourg); Wunnam Basit Issah (University of Leicester) |
| Abstract: | Family firms are known for their reluctance to invest in research and development. We show that strengthened trade secret protection is associated with higher R&D investment by family firms. More specifically, we show that the association between the strength of trade secret protection through the U.S. Uniform Trade Secrets Act and R&D investment is positively moderated by family control. Our results further show that the positive moderation of family control on the association between the strength of trade secret protection and R&D investment varies with the industry context, being stronger in high tech industries and weaker in discrete product industries. |
| Keywords: | Family firms; intellectual property protection; trade secret protection; UTSA; R&D investments; socioemotional wealth. |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:luc:wpaper:22-11&r= |
| By: | Silvia Appelt; Matej Bajgar; Chiara Criscuolo; Fernando Galindo-Rueda |
| Abstract: | This report presents new insights on trends in business R&D performance and funding, drawing on the micro-aggregated R&D and tax relief statistics collected for 21 OECD countries as part of the OECD microBeRD project. Micro-aggregated statistics provide an important input for policy analysis, highlighting important variations in business R&D performance and funding across industries and different types of firms that are hard to uncover based on aggregate R&D and tax relief statistics. They shed light on country and industry specific trends in the concentration of R&D activity, business R&D dynamics, the structure of R&D performance among different types of firms and the way that they fund their R&D activities. Such evidence can be relevant in assessing the contribution of different types of firms (e.g. young firms, foreign-controlled affiliates) and individuals (e.g. female R&D staff, doctorate holders) to research and development in the business sector and designing business R&D support policies. |
| Keywords: | additionality, government support, impacts, research and development, tax incentives |
| JEL: | O38 H25 L25 |
| Date: | 2022–09–16 |
| URL: | http://d.repec.org/n?u=RePEc:oec:stiaaa:2022/04-en&r= |
| By: | Damien Dussaux (OECD); Shardul Agrawala (OECD) |
| Abstract: | Innovation is key to reducing the environmental impacts of plastics. However, literature is generally lacking in the field of environmentally relevant plastics innovation. This paper develops an innovative conceptual framework to document and map environmentally relevant plastics innovation. Using this framework, it develops plastics innovation metrics using patents and trademarks to quantify trends over time, across countries, and to establish preliminary empirical links between policies and innovation outcomes.Plastic waste prevention and recycling innovation has increased slightly more rapidly than overall plastics innovation. In contrast, innovation in bioplastics have witnessed a significant slowdown in recent years. Another key finding of this analysis is that environmentally relevant plastics innovation is concentrated in OECD countries and China and that top inventor countries are not specialized in the same technologies. Finally, the patent analysis shows some empirical evidence that recycling regulations may have triggered innovative activity in plastic recycling. |
| Keywords: | Circular economy, Environmental Policy, Innovation, Plastics, Recycling, Waste |
| JEL: | O31 O38 Q53 Q55 Q58 |
| Date: | 2022–09–21 |
| URL: | http://d.repec.org/n?u=RePEc:oec:envaaa:199-en&r= |