Fig 1.
Schematic diagram of the research hypothesis.
Table 1.
Carbon emission factors for primary carbon sources.
Table 2.
Variables and descriptive statistics.
Fig 2.
Trends in Dagum Gini coefficients for digital financial inclusion and agricultural carbon intensity.
Fig 3.
Trends in inter-provincial agricultural carbon emission Dagum Gini coefficient rankings, 2010–2020.
Table 3.
Results of the baseline regression analysis.
Table 4.
Impact of the three-dimensional Indices of digital financial inclusion on the regional agricultural carbon emissions gap.
Table 5.
Unconditional quantile regression results.
Fig 4.
The plot of the quantile effect of China’s digital financial inclusion on the Dagum Gini coefficient of agricultural carbon intensity.
Table 6.
Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province.
Table 7.
Results of the test for mediating effect (1).
Table 8.
Results of the test for mediating effect (2).
Table 9.
Regression results of the moderated effects model.
Table 10.
Endogeneity estimation results.
Table 11.
Robustness test results.
Table 12.
Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions.
Table 13.
Re-weighted RIF-OB decomposition results.