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          <dc:title>Green Values and Sustainable Tourism Behavioural Tendencies among Chinese Tourists: De-identified Adult Survey Dataset (n = 329)</dc:title>
          <dc:creator>wang ling (23848302)</dc:creator>
          <dc:subject>Other commerce, management, tourism and services not elsewhere classified</dc:subject>
          <dc:subject>Green values</dc:subject>
          <dc:subject>Sustainable tourism</dc:subject>
          <dc:subject>Green product attachment</dc:subject>
          <dc:subject>Perceived environmental knowledge</dc:subject>
          <dc:subject>PLS-SEM</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;Dataset Description&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;This dataset supports the PLOS ONE manuscript entitled "Green values and self-reported sustainable tourism behaviour in ethnic destinations: Serial mediation by perceived environmental knowledge and green product attachment."&lt;/p&gt;&lt;p dir="ltr"&gt;Data were collected through an online questionnaire administered to Chinese tourists from 10 to 31 January 2025. Of 428 questionnaires initially submitted, 366 remained after quality screening. An additional 37 respondents who reported being younger than 18 years were excluded, resulting in the final adult analytic sample of 329 participants.&lt;/p&gt;&lt;p dir="ltr"&gt;The dataset includes 18 questionnaire indicators measuring green values (GV1–GV4), perceived environmental knowledge (EK1–EK4), green product attachment (GPA1–GPA4), and self-reported sustainable tourism behavioural tendencies (STB1–STB6), together with three demographic variables.&lt;/p&gt;&lt;p dir="ltr"&gt;This updated dataset corresponds to the final adult-only analyses reported in the revised manuscript. It replaces the earlier 366-response dataset for the purposes of reproducing the study's published analyses. Original survey response values have been preserved for the 329 retained participants, and original record sequence identifiers have been excluded.&lt;/p&gt;&lt;p dir="ltr"&gt;The accompanying Codebook and README worksheets provide variable definitions, coding information, and details of the analytic sample. The data were analysed using SPSS 26.0 and SmartPLS 4.0.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-14T15:10:14Z</dc:date>
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