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    <identifier>10.57760/sciencedb.29382</identifier>
    <datestamp>2025-09-16T10:41:00Z</datestamp>
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  <dc:date>2025-09-16</dc:date>
  <dc:title>Annex A Stata Regression Code and Data (Using Multi-Way Fixed Effects Staggered Difference in Differences Method to Examine the Impact of Market-Oriented Allocation of Data Elements on Enterprises&amp;rsquo; New Quality Productive Forces); Annex B Stata Code and Raw Data for Entropy Weighting Method (Using Entropy Weighting Method to Construct New Quality Productive Forces Index); Annex C Python Code for Digital Transformation Keywords Frequency Analysis (Using Python to Count the Frequency of Digital Transformation Keywords in Annual Reports of Listed Companies on the Shanghai and Shenzhen A-share Markets)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.29382</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Attachment A is the Stata regression code and data used in the paper to test the impact of market-oriented allocation of data factors on the new quality productivity of enterprises using multidimensional fixed effects overlapping double difference method. Attachment B is the Stata code and raw data used in the paper to construct the new quality productivity index using entropy weight method. Attachment C is the code used in the paper to statistically analyze the frequency of digital transformation keywords in the annual reports of Chinese A-share listed companies in Shanghai and Shenzhen using Python.&amp;nbsp;</dc:description>
  <dc:subject>Code; Data; Entropy Weighting Method; Digital Transformation; Keywords Frequency Analysis</dc:subject>
  <dc:creator>zhou ya cheng</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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