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    <identifier>10.57760/sciencedb.j00100.00052</identifier>
    <datestamp>2026-06-08T10:15:49Z</datestamp>
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  <dc:date>2026-06-08</dc:date>
  <dc:title>The spatiotemporal characteristics and driving factors of the  coupling coordination between green low-carbon development  and green finance in the Yangtze River Economic Belt</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00100.00052</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The synergistic advancement of green low-carbon development and green finance constitutes a pivotal pathway for achieving China&amp;rsquo;s &amp;quot;Dual Carbon&amp;quot; goals and for steadily promoting high-quality development. Based on panel data from 107 prefecture-level cities in the Yangtze River Economic Belt over the period 2008-2023, this study elucidates the coupling and coordination mechanism between green low-carbon development and green finance. A suite of analytical methods are employed to investigate the spatiotemporal evolution and driving forces of their coupling coordination degree, including a modified coupling coordination degree model, kernel density estimation, standard deviational ellipse analysis, exploratory spatiotemporal data analysis, spatiotemporal transition analysis, and nested quantile regression.&amp;nbsp;Data on Green and Low-Carbon Development and Green Finance in the Yangtze River Economic Belt from 2008 to 2023.</dc:description>
  <dc:subject>green low-carbon development; green finance; Driving factor</dc:subject>
  <dc:creator>Deng Qizhong</dc:creator>
  <dc:creator>Xu Lei</dc:creator>
  <dc:creator>Ma Yudan</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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