Europe has a long history as a global center of scientific research, but not all European regions are alike. Regions such as Île de France and the corridor that stretches from Cambridge to Oxford via London produce a disproportionate share of Europe’s science output. An econometric analysis sheds light on the factors that explain the spatial distribution of European science. One result is that the regional volume of Web of Science publications depends on the regional number of researchers in higher education institutions. This is however not the only cause of high output. Universities and their surrounding regions are slowly evolving institutional structures. Some regions host universities that are more than 500 years old. A second key result is that an increase in the age of a region’s oldest university is associated with greater output, other things being equal. Third, interregional accessibility via road, rail, and air networks is important for small regions, but not for large ones. Conversely, regional high-tech R&D employment is important for large but not for small regions.
An essential feature of a modern patenting system is a classification schema for organizing, indexing and coding the technical information contained in a patent. Patent classification systems make it possible for patent examiners and prospective inventors to search through existing patents in order to find information pertinent to evaluating a patent application’s purported novelty. Patent classification systems also support the construction of a taxonomy for the various sources of inventive novelty embodied in patented inventions. Until 2013 the U.S. Patent Office utilized the United States Patent Classification system and since then it has used the Cooperative Patent Classification (CPC) system; these two systems implement very different classification logics with the CPC aiming at greater granularity. Here we examine the extent to which the two patent classification systems generate similar historical narratives as to the sources of inventive novelty. Despite the differences in classification principles, common patterns are revealed regardless of which classification system is used to identify technologies. Invention is primarily a cumulative process where new inventions are developed from combining existing technologies. Refinements (the re-use of existing technologies) and combinations of previously existing technological functionalities predominate in the patent record, while inventions embodying previously unseen technologies are very rare. The rate at which inventions representing non-refinements have been introduced into the stock of inventions has kept pace with the generation of inventions representing refinements, thereby feeding the combinatorial process.
Larger agglomerations of individuals create a social environment can sustain a larger repertoire of intellectual capabilities, thereby facilitating the creation and recombination of ideas, and increasing the likelihood that interactions among individuals will occur through which new ideas are generated and shared. Relatedly, cities have long been the privileged setting for invention and innovation. These two phenomena are brought together in the superlinear scaling relationship whereby urban inventive output (measured through patenting) increases more than proportionally with increasing population size. We revisit the relationship between urban population size and patenting using data for a global set of metropolitan areas in the OECD and show, for the first time, that the superlinear scaling between patenting and population size observed for US metropolitan areas holds for urban areas across a variety of urban and economic systems. In fact the scaling relationships established for the US metropolitan system and for the global metropolitan system are remarkably similar.