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    <identifier>10.57760/sciencedb.j00289.000ey</identifier>
    <datestamp>2026-09-24T14:21:44Z</datestamp>
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  <dc:date>2026-09-24</dc:date>
  <dc:title>Research on the Micro-Tech Empowering Effects of Data Elements and Green Low-Carbon</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00289.000ey</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is the enterprise and annual panel data used in the empirical analysis of the paper &amp;quot;Research on the Micro-Tech Empowering Effect of Data Elements and Green Low-Carbon&amp;quot;. The sample consists of Chinese A-share listed companies, with a time span from 2011 to 2024, totaling 17,177 observations. The core variables include: the dependent variable, the number of green technology integration of enterprises, which is constructed by taking the logarithm of the number of patents resulting from the intersection of enterprise digitalization and green technology; the core explanatory variable, the national green data center pilot, which is a policy dummy variable; if an enterprise is located in a region that has been approved as a pilot, it takes 1, otherwise 0. In addition, the dataset also includes variables for mechanism testing such as green attention, control variables at the enterprise financial and governance levels, and variables for further analysis such as green total factor productivity. The data mainly come from Guotai An (CSMAR), the Chinese Research Data Service Platform (CNRDS), and public policy documents.</dc:description>
  <dc:subject>green data center; digital‑green technological integration; double machine learning; digital‑green attention</dc:subject>
  <dc:creator>wang rui yin</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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