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    <identifier>10.57760/sciencedb.j00266.00010</identifier>
    <datestamp>2026-02-12T16:03:37Z</datestamp>
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  <dc:date>2026-02-12</dc:date>
  <dc:title>Rural Carbon Neutrality Development in Different Dimensions</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00266.00010</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset presents the Rural Carbon Neutrality Development Index (RCNDI) scores for each province. The index is constructed based on two primary dimensions: Carbon Neutrality and Development. The assessment framework evaluates four key aspects: the current status of rural carbon neutrality, rural carbon sequestration potential, rural livelihood development status, and rural innovation potential. This system comprises 9 secondary indicators and 18 tertiary indicators (detailed in the associated article).The Full-Permutation Polygon Synthetic Indicator method was employed for the comprehensive assessment. This approach integrates graphical representation with indicator quantification&amp;mdash;specifically utilizing radar charts and area ratios&amp;mdash;to standardize and evaluate indicators across different directions. The provided data contains the final calculated RCNDI scores, offering a comprehensive view of regional performance.</dc:description>
  <dc:subject>Carbon neutrality; Carbon neutrality development index; Inter-provincial differences</dc:subject>
  <dc:creator>Wang Chenxing</dc:creator>
  <dc:creator>Wang Zetong</dc:creator>
  <dc:creator>Yan Yan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/j.ecofro.2026.01.010</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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