To achieve the United Nations Sustainable Development Goals, coordinated action across their interlinked indicators is required. Although most of the research on the interlinkages of the SDGs is done at the goal level, policies are usually made and implemented at the level of indicators (or targets). Our study examines the existing literature on SDG interlinkages and indicator (or target) prioritization, highlighting important drawbacks of current methodologies. To address these limitations, we propose a generic network-based model that can quantify the importance of the SDG indicators and help policymakers in identifying indicators for maximum synergistic impact. Our model applies to any country, offering a tool for national policymakers. We illustrate the application of this model using data from India, identifying important indicators that are crucial for accelerating progress in the SDGs. While our main contribution lies in developing this network-theoretic methodology, we also provide supporting empirical evidence from existing literature for selected key observations.
翻译:为实现联合国可持续发展目标,需要在其相互关联的指标间采取协调行动。尽管当前关于可持续发展目标关联性的研究大多聚焦于目标层面,但政策制定与实施通常发生在指标(或具体目标)层级。本研究系统梳理了现有关于可持续发展目标关联性与指标(或目标)优先排序的文献,指出现有方法论的重要缺陷。为克服这些局限,我们提出一种基于网络的通用模型,该模型能够量化可持续发展目标指标的重要性,并协助决策者识别能产生最大协同效应的关键指标。本模型适用于任何国家,为各国政策制定者提供了实用工具。我们以印度数据为例演示该模型的应用,识别出对加速可持续发展目标进程至关重要的核心指标。虽然本研究的主要贡献在于发展这套网络理论方法学,我们也为部分关键发现提供了来自现有文献的实证支持证据。