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    <responseDate>2026-10-14T15:46:01Z</responseDate>
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    <identifier>10.57760/sciencedb.j00289.00410</identifier>
    <datestamp>2026-07-10T10:51:54Z</datestamp>
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  <dc:date>2026-07-10</dc:date>
  <dc:title>Appendix to the Research on the Impact of Public Data on the High-Quality Development of Specialized, Refined, Characteristic and Innovative Enterprises - Descriptive Statistics of the Main Variables</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00289.00410</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is the supplementary data of the paper &amp;quot;Research on the Impact of Public Data on the High Quality Development of Specialized, Refined, and New Enterprises&amp;quot;, presenting descriptive statistical results of the main variables used in the study. The dataset is generated based on annual observations of 2579 specialized, refined, and new listed companies in China from 2014 to 2022. The raw data is integrated from the National Tai'an Database (CSMAR), the list of specialized, refined, and new enterprises of the Ministry of Industry and Information Technology, public data open platforms in various regions, and statistical yearbooks in various regions. This descriptive statistical result provides necessary basic information for readers to preliminarily judge the rationality of data distribution and expand the empirical results of this study, and is applicable to empirical research such as panel data models and difference in differences methods.&amp;nbsp;</dc:description>
  <dc:subject>specialized、refined、characteristic and innovative enterprises; high-quality development; public data</dc:subject>
  <dc:creator>Xu Hongdan</dc:creator>
  <dc:creator>Wangjiu River</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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