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    <identifier>10.57760/sciencedb.18904</identifier>
    <datestamp>2024-12-26T18:00:49Z</datestamp>
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  <dc:date>2024-12-26</dc:date>
  <dc:title>Digitalisation and Green Transformation Synergies and Corporate Debt Financing Costs Dataset of China's Shanghai and Shenzhen A-share Listed Companies, 2007-2022</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.18904</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset collects some data from China's Shanghai and Shenzhen A-share listed companies from 2007-2022 in the Cathay Pacific database and the Dibbo database, collects the annual reports of relevant companies in the Juchao information website, uses Python to perform text analysis, obtains the number of frequency of words for digitalisation and greening transformation, and performs data processing using excel to remove the missing values and perform the indentation process through the Stata software.</dc:description>
  <dc:subject>Synergy of Digital and Green Transformation; Corporate Debt Financing Cost;  quality of internal control; information transparency</dc:subject>
  <dc:creator>cheng xiao li</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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