Barely Significant
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Carbon emission governance and public health efficiency in transitional China: Regional differences and spatial aggregation.

PLoS One · 2026 · PMC13229364 · PMID 42228753

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closest p
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highly significantno p-value reported
In terms of statistical testing, with the exception of 2013 and 2017, the p-values of the Global Moran’s Index for all other years were below 0.05, indicating that the spatial agglomeration pattern of the coupling coordination degree is statistically highly significant.

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