A Theory of Knowledge Growth by Gianluca Carnabuci

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By Gianluca Carnabuci

Why do convinced domain names of human wisdom boost speedier than others? This thesis units out to respond to this question through elaborating upon the concept that new principles spring from hybridizations of current principles. over the years, such hybridizations shape a path-dependent community constitution of interconnected and interconnecting wisdom domain names. This thesis develops a network-analytic method of version this constitution and to enquire its results. in keeping with all technological wisdom patented within the usa among 1975 and 1999, this thesis demonstrates that the community place a data area is embedded in at a given time limit impacts its next development clients in very important and predictable methods.

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Giummo (2003) examined the royalties received by patent holders at nine major German corporations and reached a similar conclusion. Hall, Jaffe and Trajtenberg (2004) analyzed the patenting activity of almost 5000 firms over a period of 30 years. They found that patent citations are indicative of firms’ intangible assets, even when controlling for raw patent counts and R&D investments. Besides indirect evidence, patent citations were found to indicate patent importance also in the studies of Albert (1991), and Jaffe, Trajtenberg and Fogarty (2000), who asked knowledgeable inventors/experts to evaluate the technological significance of selected samples of inventions.

G. Jaffe et al. 1993; Jaffe and Trajtenberg 1996; Jaffe and Trajtenberg 1998), many econometric studies have analyzed patent citations to investigate how knowledge spills over the economy5. This approach has gained further prominence in consequence of the widespread digitalization and systematization of patent data that took place in recent years. Patent citations have been used to trace knowledge spillovers within and between industries (Fai and von Tunzelmann 2001), from universities to firms (Jaffe et al.

For the computation of forward citation lags, observed data are less helpful. First, they are truncated, because patents granted after the end of the observation period keep citing the patents described USPTO patent and patent citations data 41 in the NBER dataset. Second, data truncation is more severe for patents granted later in the observation period. 10. Distribution of backward citation lags Source: Hall et al. 11 shows the cumulative distribution up to 50 years back. Note that a remarkable portion of citations is directed to patents granted many years before the citing patent.

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