Barely Significant
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Study on spatial distribution, regional differences and dynamic evolution of rural financial risk in China.

PLoS One · 2024 · PMC11104626 · PMID 38768172

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a decreasing trendno p-value reported
From the analysis of Table 7 , it is evident that the Gini coefficient decomposition values in both total and its four regions have exhibited a decreasing trend during the sample investigation period from 2009 to 2021.

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highly significantno p-value reported
Kernel density estimation Kernel density estimation is a highly significant non-parametric method for estimating the distribution characteristics of rural financial risk levels using density curves.

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