|
on Economics of Strategic Management |
|
Issue of 2022‒02‒07
four papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Rhoden, Imke; Weller, Daniel; Voit, Ann-Katrin |
| Abstract: | We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and combine them with other innovation and economic data across 225 regions, 13 years and 8 patent classes. This allows us to identify innovation clusters that are supported by several innovation- and economy-related variables. We are able to form several regional clusters according to their specific innovation types. The regional innovation cluster solutions for IPC classes for 'fixed constructions' and 'mechanical engineering' are very comparable, and relatively less comparable for 'chemistry and metallurgy'. The clusters for innovations in 'physics' and 'chemistry and metallurgy' are similar; innovations in 'electricity' and 'physics' show similar temporal dynamics. For all other innovation types, the regional clustering is different and innovation concentrations in the respective regions are unique within clusters. By taking regional profiles, strengths and developments into account, options for improved efficiency of location-based regional innovation policy in order to promote tailored and efficient innovation-promoting programs can be derived. |
| Keywords: | Functional Data Analysis (FDA),innovation concentration,spatio-temporal cluster modeling,multivariate cluster analysis,European innovation,cluster algorithm |
| JEL: | O33 R12 C38 |
| Date: | 2021 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:rwirep:926&r= |
| By: | Mauricio Camargo (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine); Laure Morel (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine); Pascal Lhoste (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine) |
| Abstract: | Regarding SMEs' relationship with R&D and technology, university technology transfer (UTT) programs have evolved in recent years toward approaches that are more focused on a systemic and continuous exchange between firms, university departments, and R&D centers. Financial support such as innovation vouchers and open initiatives has been applied for a few years, and only recently have research works analyzed the impacts of these programs on the innovative capabilities of SMEs. Existing studies are based on short-term analysis, but there are no studies on the medium- or long-term influence of innovation vouchers on firms' innovation capabilities. This chapter aims to contribute to this topic through a longitudinal exploratory study of two SMEs in eastern France. It puts forward an original modular program proposed by an engineering school at the University of Lorraine, where groups of students participate throughout the academic year in innovation-related projects. Empirical evidence shows that this type of project has positive impacts on firms' innovative capabilities, but also fosters the analytical skills and self-directed learning capabilities of students. |
| Keywords: | UTT,SMEs Innovation capabilities,Open innovation,Innovation vouchers,Problem-based learning |
| Date: | 2021–02–07 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03140931&r= |
| By: | Nelson Lind; Natalia Ramondo |
| Abstract: | We develop a Ricardian model of trade in which countries innovate ideas that diffuse across the globe. In this model, the forces of innovation and diffusion combine to shape trade substitution patterns. Innovation makes a country technologically distinct, reducing their substitutability with other countries, while diffusion between countries generates technological similarity and increases head-to-head competition. In the special case of an innovation-only model where countries do not share ideas, productivities are independent across space, and the demand system is CES. As a consequence, departures from CES expenditure reveal diffusion patterns. Our theoretical results provide a mapping between the dynamics of observable trade flows and the dynamics of innovation and knowledge diffusion. |
| JEL: | F1 O3 |
| Date: | 2022–01 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:29629&r= |
| By: | Orsatti, Gianluca; Quatraro,Francesco; Scandura, Alessandra (University of Turin) |
| Abstract: | This paper studies the entry of regions in new green technological specializations, specifically investigating the role of local recombinant capabilities and the involvement of academic inventors in patenting activities, as well as the interplay between the two. We test our hypotheses on a dataset of Italian NUTS 3 regions over the period 1998-2009. The results show that both recombinant capabilities and the presence of academic inventors are positively associated to new entries in green technological specializations, and that their interaction provides a compensatory mechanism in regions lacking adequate novel combinatorial capabilities. The findings of this work are relevant for policy makers involved in the elaboration of successful regional specialization strategies in green technological domains. |
| Date: | 2021–10 |
| URL: | http://d.repec.org/n?u=RePEc:uto:dipeco:202119&r= |