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Fig 1.

The temporal trend of carbon emissions from civil buildings in China.

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Fig 1 Expand

Fig 2.

The temporal trend of total carbon emissions from civil buildings (A) and per capita carbon emissions from civil buildings (B) in four major Chinese regions.

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Fig 2 Expand

Fig 3.

The temporal trend of total carbon emissions from civil buildings (A) and per capita carbon emissions from civil buildings (B) in Chinese provinces.

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Fig 3 Expand

Fig 4.

Kernel density curve of total carbon emissions from urban civil buildings (A) and per capita carbon emissions from civil buildings (B).

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Fig 4 Expand

Fig 5.

Dynamic stochastic kernel density curve (A) and density contour (B) of total carbon emissions from civil buildings.

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Fig 5 Expand

Fig 6.

Dynamic stochastic kernel density curve (A) and density contour (B) of per capita carbon emissions from civil buildings.

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Fig 6 Expand

Table 1.

The result of the Gini coefficient and its decomposition.

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Table 1 Expand

Fig 7.

The spatial difference in total carbon emissions from civil buildings.

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Fig 7 Expand

Fig 8.

The spatial difference in per capita carbon emissions from civil buildings.

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Fig 8 Expand

Table 2.

Spatial autocorrelation test of carbon emissions from civil buildings.

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Table 2 Expand

Fig 9.

Moran scatter plot of total carbon emissions from civil buildings in Chinese cities in 2000 (A) and 2018 (B).

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Fig 9 Expand

Fig 10.

Moran scatter plot of per capita carbon emissions from civil buildings in Chinese cities in 2000 (A) and 2018 (B).

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Fig 10 Expand

Table 3.

FGLS estimation results of the static panel data model.

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Table 3 Expand

Table 4.

Results of LM tests for the spatial panel data.

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Table 5.

Estimation results of spatial dynamic panel data.

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