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    <responseDate>2026-10-11T18:33:27Z</responseDate>
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    <identifier>10.57760/sciencedb.37275</identifier>
    <datestamp>2026-02-10T18:05:19Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-02-10</dc:date>
  <dc:title>Chinese A-share listed firms for the period 2016&amp;ndash;2024</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37275</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This panel dataset covers Chinese A-share listed firms for the period 2016&amp;ndash;2024. Firm-level financial and corporate governance variables are obtained from the CSMAR (China Stock Market and Accounting Research) database. Standard data screening procedures are implemented: ST and *ST firms are excluded; observations with missing values for core variables are dropped; and all continuous variables are winsorized at the 1% level in both tails to mitigate outlier effects.</dc:description>
  <dc:subject>AI; Data Asset; AI Innovation and Development Pilot Zone (AIPZ); quasi-natural experiment</dc:subject>
  <dc:creator>Lixia Liu</dc:creator>
  <dc:creator>Xinzhi Zhang</dc:creator>
  <dc:creator>Chuan Zhang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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