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on Knowledge Management and Knowledge Economy |
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Issue of 2026–01–26
four papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Elie Gray (TBS - Toulouse Business School); André Grimaud (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | We formalize inter-sectoral knowledge diffusion in a standard fully endogenous Schumpeterian growth model. Each sector is simultaneously sending and receiving knowledge; thereby, to produce new knowledge, the research and development activity of each sector draws from a pool of knowledge which stems from this diffusion. This enables us to revisit the scale effects issue by revealing how this property (inconsistent with empirical evidence) relates with knowledge diffusion (the importance of which is empirically highlighted). Weshow that suppressing knowledge diffusion across sectors is a sufficient but not necessary condition for obtaining scale-invariancy. Then, we identify several sets of assumptions which enable us to obtain models which are reasonably consistent with empirical evidence both on scale effects and how knowledge diffuses in the economy. Specifically, these models do not exhibit scale effects (or at least not significant ones) while considering various scope of knowledge diffusion (including possible occurrence of general-purpose technologies). |
| Keywords: | Schumpeterian growth theory, Scale effects, Knowledge diffusion, Knowledge, spillovers, Non rivalry, Technological distance |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04723727 |
| By: | Ma, Yubei; Hu, Wuyang; Zhan, Jintao |
| Keywords: | Productivity Analysis, Research and Development/Tech Change/Emerging Technologies |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea25:361096 |
| By: | Jos\'e M. Gaspar; Minoru Osawa |
| Abstract: | We develop a Schumpeterian quality-ladder spatial model in which innovation arrivals depend on regional knowledge spillovers. A parsimonious reduced-form diffusion mechanism induces the convergence of regions' average distance to the global frontier quality. As a result, regional differences in knowledge levels stem residually from asymmetries in the spatial distribution of researchers and firms. We analytically characterize the processes of innovation and knowledge diffusion. We then explore how the weight of intra-relative to inter-regional knowledge spillovers interacts with freer trade to shape the spatial distribution of economic activities. If intra-regional spillovers are relatively stronger, a higher economic integration leads to progressive agglomeration. If inter-regional spillovers dominate, researchers and firms may re-disperse after an initial phase of agglomeration as integration increases. This happens because firms and researchers have incentives to relocate to the smaller region, where they can leverage the concentrated knowledge base of the larger region while avoiding congestion in innovation. The smoothness of the dispersion process depends on the particular weight of intra-regional spillovers. If inter-regional spillovers become stronger as trade becomes freer, then the latter induces a monotone dispersion process. When integration is high enough, stable long-run equilibria always maximize the growth rate of the global frontier quality and the average distance to the frontier, irrespective of whether spillovers are mainly local or global. |
| Date: | 2025–12 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2512.06402 |
| By: | Vik, Jostein; Stræte, Egil Petter |
| Abstract: | The aim of this paper is to explore the diversity of farmers’ relationship to the networks that make up the knowledge and innovation systems. We approach farmer’s knowledge diversity through the development of a typology based on a principal component analysis (PCA) of Norwegian farmers. The analysis indicates a preliminary typology of farmers where the main types are: 1) the self-confident farmers; 2) the knowledge-seeking farmers; 3) the knowledge-purchasing farmers; 4) the experienced farmers; 5) the collective- knowledge farmers; and, 6) the well-educated farmers. We discuss how extension service may improve communication, knowledge services, and knowledge networks. |
| Keywords: | Agribusiness |
| URL: | https://d.repec.org/n?u=RePEc:ags:ief017:258181 |