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The United Nations' ambitions to combat climate change and prosper humandevelopment are manifested in the Paris Agreement and the SustainableDevelopment Goals (SDGs), respectively. These are inherently inter-linked asprogress towards some of these objectives may accelerate or hinder progresstowards others. We investigate how these two agendas influence each other bydefining networks of 18 nodes, consisting of the 17 SDGs and climate change,for various groupings of countries. We compute a non-linear measure ofconditional dependence, the partial distance correlation, given any subset ofthe remaining 16 variables. These correlations are treated as weights on edges,and weighted eigenvector centralities are calculated to determine the mostimportant nodes. We find that SDG 6, clean water and sanitation, and SDG 4,quality education, are most central across nearly all groupings of countries.In developing regions, SDG 17, partnerships for the goals, is stronglyconnected to the progress of other objectives in the two agendas whilst,somewhat surprisingly, SDG 8, decent work and economic growth, is not asimportant in terms of eigenvector centrality.

Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals