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        <identifier>oai:figshare.com:article/34018569</identifier>
        <datestamp>2026-09-28T22:01:47Z</datestamp>
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          <dc:title>Supplementary file 1_Multidimensional climate physical risk and reported farmland abandonment among rural farm households in China: evidence from household panel data.docx</dc:title>
          <dc:creator>Ruofan Liao (24050355)</dc:creator>
          <dc:creator>Kexin Zhang (301752)</dc:creator>
          <dc:creator>Mi Tan (25078429)</dc:creator>
          <dc:creator>Jianxu Liu (18778493)</dc:creator>
          <dc:subject>Food Packaging, Preservation and Safety</dc:subject>
          <dc:subject>agricultural resilience</dc:subject>
          <dc:subject>climate physical risk</dc:subject>
          <dc:subject>family farming systems</dc:subject>
          <dc:subject>household fixed effects</dc:subject>
          <dc:subject>land-use continuity</dc:subject>
          <dc:subject>reported farmland abandonment</dc:subject>
          <dc:subject>rural China</dc:subject>
          <dc:description>Introduction&lt;p&gt;For family-operated farms, keeping contracted land in cultivation is one practical dimension of resilience to climate stress. This study asks whether multidimensional climate physical risk is associated with reported farmland abandonment among rural households in China.&lt;/p&gt;Methods&lt;p&gt;We matched the 2014, 2016, and 2018 China Labor-force Dynamics Survey (CLDS) waves to province-level Climate Physical Risk Index (CPRI) values from the preceding agricultural years. Abandonment is coded from a household report that some contracted cropland was uncultivated during the reference period; the survey does not show whether that status was temporary or persistent or the reason for it. The resulting unbalanced panel contains 19,311 household-year observations for 11,982 households in 27 provincial-level units. Household fixed-effects linear probability models include survey-wave fixed effects, province-clustered standard errors, and Webb-weight wild cluster bootstrap inference.&lt;/p&gt;Results&lt;p&gt;A one-standard-deviation within-province increase in CPRI is associated with a 3.02-percentage-point increase in reported abandonment, approximately one-fifth of the sample mean. The association remains positive under alternative outcomes, exposure dates, sample restrictions, and model choices. The four hazards are jointly significant; only extreme low temperature is individually significant in the exploratory decomposition.&lt;/p&gt;Discussion&lt;p&gt;Although the estimates are observational rather than causal, they suggest that multidimensional climate exposure may weaken land-use continuity in household farming systems.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T22:01:47Z</dc:date>
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          <dc:identifier>10.3389/fsufs.2026.1948860.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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