The local dimension of information spillovers: a critical review of empirical evidence in the case of innovation *. (Dialogue)

Abstracts: Local Dimension of Information Spillovers: A Critical Review of Empirical Evidence in the Case of Innovation. The primary aim of this paper is to show that there is empirical evidence to support the theoretical claim of a link between information externalities and the agglomeration of information-intensive activities. Theoretical reasoning provides consistent and realistic explanations for the agglomeration of information-dependent activities including producer services and R&D. Empirical testing of these models raises a number of methodological problems. However, many empirical studies have been conducted into the local character of the diffusion of information. Much progress has been made over the last ten years and initial difficulties are progressively being overcome. Indirect tests provide a better understanding of information externalities and their consequences. These advances focus primarily on one category of information externalities: the information spillovers emitted and received by R&D. Most studies show a close link between the need for more or less tacit information exchanges and the effective proximity of agents and/or between this proximity and the production of innovation. ********** Au cours de ces dix dernieres annees, de nombreuses etudes ont ete effectuees sur le caractere localisd de la diffusion des informations, malgre l'existence de problemes methodologiques concernant la validation empirique de ces conjectures theoriques. Meme s'il n'existe pas de moyens directs d'evaluer les flux d'informations, des methodes indirectes permettent une comprehension plus precise des extemalit~s d'informations et de leurs consequences. La recherche empirique s'est concentree principalement sur une categorie particuliere d'externalites informationnelles, les [much less than] spillovers de connaissance [much greater than] lies aux activites de R&D et d'innovation. La plupart de ces etudes montrent l'existence d'un lien etroit entre besoin d'inforinations tacites et proximite et/ou entre proximite et production d'innovation. Knowledge traverses corridors and streets more easily than continents and oceans (Feldman 1994: 2). For the first time in history, it might be possible to locate on a mountain top and to maintain intimate, real-time, and realistic contact with business or other associates. All persons tapped into the global communication net would have ties approximating those used today in a given metropolitan region (Webber 1968 quoted in Moss 1987: 535). While Feldman considers that distance impedes the diffusion of knowledge, Webber claims that information interactions have become location-independent. These two contradictory statements have very different consequences in terms of the agglomeration of economic activities. Although it can be argued that thanks to new communication technologies, distance is now irrelevant to many information interactions, it is widely accepted that the more complex and strategic information interactions are still conditioned by close proximity or face to face contacts. The question is to determine which effect is prevalent. Basically, information exchanges generate spatial externalities. Indeed, information is, in some sense, a public good, because it is non-rival by nature: the individual who gives information still retains it. Information exchanges are therefore not really marketable and they generate a form of externality, i.e. non. price interaction or spillover. Moreover, other things being equal, distance is a barrier to the spread of information (Hagerstrand 1965), 50 that information flows generate spatial extemalities, that is non price spatial interactions (Fujita 1990), also called local spillovers. As far as information diffusion is spatially limited, information-intensive activities are expected to be located close to each other thereby maximising the benefits (Fujita and Ogawa 1982). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.