Treating patent as relational data: Knowledge transfers and spillovers across Italian provinces

Translated title of the contribution: [Autom. eng. transl.] Treating patent as relational data: Knowledge transfers and spillovers across Italian provinces

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

The paper applies a relational perspective to patent data in order to investigate the characteristics of innovation flows within and across 103 Italian NUTS3 regions (province). In this way it is possible to use the CRENoS database on regional patenting built on EPO data spanning from 1978 to 2003to investigate the scientific and technological orelationso among invention-creatingo and coinvention-adoptingo territories. In particular, patents are used as relational data connecting inventors and applicants along a dual interpretation of a knowledge production and a knowledge utilization function. In addition a gravity model is used to identify frictions and attractions of the Italian innovation system. Analytical tools, such as social network analysis, spatial econometrics and negative binomial estimation procedures, are used to map and measure the structure and the evolution of a series of innovation sub-systems, both at territorial level (i.e. province) and at the industry level (i.e. five specific industries, chosen according to the Pavitt's taxonomy, Footwear, Textiles, Machinery, Personal Computers and Chemicals).
Translated title of the contribution[Autom. eng. transl.] Treating patent as relational data: Knowledge transfers and spillovers across Italian provinces
Original languageItalian
Pages (from-to)39-67
Number of pages28
JournalIndustry and Innovation
Volume18
DOIs
Publication statusPublished - 2011

Keywords

  • innovation
  • italian provinces
  • patents

Fingerprint

Dive into the research topics of '[Autom. eng. transl.] Treating patent as relational data: Knowledge transfers and spillovers across Italian provinces'. Together they form a unique fingerprint.

Cite this