A Gini approach to spatial CO2 emissions
Fig 6
Sub-national inhomogeneity index Ge.
We calculated the Ge on the province level for China. In (a) the Ge-values are plotted against the corresponding province GDP per capita values on a logarithmic scale, analogous to Fig 4. The dashed line indicates the country-level mean Ge. Panel (b) shows a map of China where the provinces are color-coded according to the inhomogeneity index Ge. It can be seen that the development dependence as found in Fig 4 does also hold on the sub-national scale—at least in China. Provinces with lowest and highest Ge-values are Hong Kong and Tibet, respectively. Note, however, that for the USA we do not find sub-national correlations (S1 Fig in S1 File). (Data source of China level-1 administrative boundaries: https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-1-states-provinces/).