<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-14T13:22:13Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.11375" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.11375</identifier>
    <datestamp>2024-09-25T16:01:59Z</datestamp>
</header>
    <metadata>
        
<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>2024-09-25</dc:date>
  <dc:title>Firm's Digital Transformation and NIS Efficacy</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.11375</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset include firms' digital transformation and NIS efficacy related variables, and the related regression code. The digital transformation data are firm-level data, and they are collected from public companies listed on the Shanghai&amp;nbsp;or&amp;nbsp;Shenzhen Stock Exchange from 2011 to 2020.&amp;nbsp;The innovation system efficacy data, intelligent development data, and control variable data are city-level data. These data are collected from 286 cities&amp;nbsp;in 31 provinces of mainland China. After dropping observations of firms in the finance or real estate industries, observations of firms that are special-treated,&amp;nbsp;and observations with missing information, the final sample consists of 13,010 firm-year observations. The digital transformation-related data are collected from the China Stock Market and Accounting Research (CSMAR) database and city-level data are collected from the National Bureau of Statistics of China&amp;nbsp;(NBS).The dataset is available to be used by Stata, the data are &amp;quot;.dta&amp;quot; format and the code is &amp;quot;.do&amp;quot; format.</dc:description>
  <dc:subject>digital transformation; NIS efficacy; regional intelligent development</dc:subject>
  <dc:creator>Xuefeng Zhou</dc:creator>
  <dc:creator>Lu Han</dc:creator>
  <dc:creator>Yi Wang</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>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>