论文标题
巴黎协定和可持续发展目标之间的非线性互联链接和关键目标
Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
论文作者
论文摘要
联合国对应对气候变化和繁荣人类发展的野心分别体现在巴黎协定和可持续发展目标（SDG）中。这些固有的链接是因为这些目标中的某些目标可能会加速或阻碍其他人的进步。我们通过为各个国家的各个群体定义了由17个SDG和气候变化组成的18个节点的网络来研究这两个议程如何相互影响。我们计算有条件依赖性的非线性度量，即剩余16个变量的任何子集，部分距离相关性。这些相关性被视为边缘的权重，并计算加权特征向量中心以确定最重要的节点。我们发现，在几乎所有国家组中，可持续发展目标6，清洁水和卫生设施以及可持续发展的质量教育是最重要的。在发展中的地区，实现目标的合作伙伴关系的可持续发展目标17与两个议程中其他目标的进步密切相关，而令人惊讶的是，在特征向量的中心性方面，可持续发展的工作和经济增长不错。
The United Nations' ambitions to combat climate change and prosper human development are manifested in the Paris Agreement and the Sustainable Development Goals (SDGs), respectively. These are inherently inter-linked as progress towards some of these objectives may accelerate or hinder progress towards others. We investigate how these two agendas influence each other by defining networks of 18 nodes, consisting of the 17 SDGs and climate change, for various groupings of countries. We compute a non-linear measure of conditional dependence, the partial distance correlation, given any subset of the remaining 16 variables. These correlations are treated as weights on edges, and weighted eigenvector centralities are calculated to determine the most important 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 strongly connected to the progress of other objectives in the two agendas whilst, somewhat surprisingly, SDG 8, decent work and economic growth, is not as important in terms of eigenvector centrality.
