Conference paper Open Access

The spatial distribution of knowledge production in Europe. Evidence from KET and SGC

Lepori, Benedetto; Guerini, Massimiliano; Scherngell, Thomas; Laredo, Philippe


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  <identifier identifierType="DOI">10.5281/zenodo.3451868</identifier>
  <creators>
    <creator>
      <creatorName>Lepori, Benedetto</creatorName>
      <givenName>Benedetto</givenName>
      <familyName>Lepori</familyName>
      <affiliation>Università della Svizzera Italiana</affiliation>
    </creator>
    <creator>
      <creatorName>Guerini, Massimiliano</creatorName>
      <givenName>Massimiliano</givenName>
      <familyName>Guerini</familyName>
      <affiliation>DIG - Politecnico di Milano</affiliation>
    </creator>
    <creator>
      <creatorName>Scherngell, Thomas</creatorName>
      <givenName>Thomas</givenName>
      <familyName>Scherngell</familyName>
      <affiliation>AIT</affiliation>
    </creator>
    <creator>
      <creatorName>Laredo, Philippe</creatorName>
      <givenName>Philippe</givenName>
      <familyName>Laredo</familyName>
      <affiliation>UPEM</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The spatial distribution of knowledge production in Europe. Evidence from KET and SGC</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-09-20</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3451868</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3451867</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/risis</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In this paper, we develop an analysis of the spatial distribution of knowledge production related to Key Emerging&lt;br&gt;
Technologies (KETs) and Societal Grand Challenges (SGCs) in Europe building on an extensive dataset developed&lt;br&gt;
in the H2020 KNOWMAK project. We first provide a broad characterization of European regions in terms of their&lt;br&gt;
knowledge volume and knowledge intensity, which leads to a distinction between the large metropolitan regions&lt;br&gt;
and smaller knowledge intensive regions. Second, by using principal component analysis, we identify two&lt;br&gt;
components of knowledge production that we broadly characterize as academic production and technology&lt;br&gt;
production. This distinction allows further categorizing regions in terms of the balance between the two&lt;br&gt;
components, which we suggest is also related to the ecology of actors in a region and, notably, of the importance&lt;br&gt;
of public-sector research and of knowledge producing firms. In a further step, we will adopt more advanced&lt;br&gt;
statistical techniques, i.e. latent class analysis, in order to provide a robust identification of classes of regions.&lt;/p&gt;</description>
    <description descriptionType="Other">Presented at ISSI/STI 2019</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/FP7/313082/">313082</awardNumber>
      <awardTitle>Research infrastructure for research and innovation policy studies</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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