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    <identifier>10.57760/sciencedb.j00289.00099</identifier>
    <datestamp>2026-04-17T17:53:49Z</datestamp>
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  <dc:date>2026-04-17</dc:date>
  <dc:title>The Impact of Industry-University-Research Collaboration on Regional Patent Scale: The Threshold Effects Analysis of Scientific and Technological Human Capital</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00289.00099</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Data set is the used in the paper. Abstract: Industry-University-Research Collaboration (IURC) is an important means to enhance the effectiveness of the national innovation system. Exploring the role of scientific and technological human capital (S&amp;amp;T HC) in the function of IURC is one of the key measures in implementing the requirements of &amp;quot;education, S&amp;amp;T, and talent&amp;quot; integrated development. Building on existing research, this study proposes a threshold effect hypothesis regarding the role of S&amp;amp;T HC in IURC and regional patent scale (RPS), and employs an econometric model to conduct empirical analysis. Using panel data of 30 provincial-level regions in China's mainland from 2010 to 2019, the findings are as follows: (1) IURC does not necessarily increase RPS, and S&amp;amp;T HC plays a threshold effect in this process; (2)The innovative effects of IURC have an upper limit on the size of S&amp;amp;T HC, and only when the S&amp;amp;T HC is relatively small does it show a positive impact on RPS; (3) There is heterogeneity in the effect of S&amp;amp;T HC on patent size and substitutability between it and S&amp;amp;T financial capital. The article reveals the threshold effect of S&amp;amp;T HC faced by IURC. The policy implications include implementing IURC policies according to local conditions for local governments, and actively guiding the balanced distribution of S&amp;amp;T HC for the central government, in order to better leverage the efficiency of the innovation system.</dc:description>
  <dc:subject>Industry-University-Research Collaboration; Regional Innovation; Patent Scale; S&amp;T Human Capital; Threshold Effect</dc:subject>
  <dc:creator>Chen Zitao</dc:creator>
  <dc:creator>Chen Yichen</dc:creator>
  <dc:creator>Yuan Meng</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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