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已有 688 次阅读 2019-6-4 22:37 |个人分类:阅读文献|系统分类:科研笔记

Studying the topology and drivers of networks has given us crucial insights about complex systems such as health16,17, ecosystems18, financial systems19 and our societies20. Network theory provides analytical tools to determine how such mathematical representations of systems can evolve through time and how they might respond to perturbations21. We apply a network approach to the SDGs to estimate what we call the sustainome—the system of SDG interactions. The sustainome can be represented as a network, where the vertices are the SDGs (goals or targets) and the edges are relationships between them. We estimate the sustainome network of interactions at two scales: among the 169 SDG targets and among the 17 SDGs them-selves. The concept of the sustainome is inspired from the conceptual definition of sustainomics22, defined as the study of how to achieve sustainability by maintaining six capitals (infrastructure, finance, communities, people, ecosystems and biodiversity) while generating the flows we require from those capitals to achieve the SDGs.

Relationships among goals can be defined in a number of ways, from shared concepts in their definitions4 to dependencies in indicator trajectories19. Within a sustainome framework, interactions between the SDGsare represented as the associations between progress towards each SDG (see Methods). For example, if initiatives are implemented to increase gross domestic product, will they be associated with a degradation of biodiversity? Several organizations have monitored macroscale indicators associated with the SDGs in most countries over the past decades, which allows us to determine global interactions among the SDGs.

The World Bank (see Methods) developed a set of 331 indicators to inform the SDGs (Supplementary Table 1) using data collected regularlyover the past 27 years for 263 countries23. The World Bank associated each of these indicators to SDG targets so that the indicators can be used as a measure of progress towards SDGs and their targets. Afterwards, the United Nations developed a set of indicators under the auspice of the Interagency and Expert Group on SDG Indicators. This set of indicators largely overlaps with that of the World Bank, which has more country representation and for more years. The World Bank data also allowed us to use indicators that were not given as a disaggregated percentage by age class and gen-der (which could not be re-aggregated without knowing the age and gender composition of each country and each year), thus minimizing collinearity issues in subsequent analyses. Therefore, we used the World Bank indicators to inform interactions between their respective identified 71 targets and 17 SDGs (98 SDG targets still lack indicators).




David Lusseau, Francesca Mancini. Income-based variation in sustainable development goal interaction networks. Nature sustainability, 2019, 2, 242-247.




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