Assubayeva Aliya, Marco Jorge
Centre for International Development and Environmental Research, Justus Liebig University Giessen, 35390 Giessen, Germany.
Department of Economics, University of Girona, 17003 Girona, Spain.
iScience. 2024 Oct 5;27(11):111100. doi: 10.1016/j.isci.2024.111100. eCollection 2024 Nov 15.
The world is lagging in achieving the 2030 Agenda's 17 Sustainable Development Goals (SDGs), emphasizing social, economic, and environmental dimensions. Meeting one target may either help or hinder meeting another, but the high number of potential interactions complicates the evaluation of synergies and trade-offs. Here, we focus on the water-energy-food nexus to assess how the knowledge of SDG interlinkages has been operationalized to inform policymaking. Specifically, we review the effectiveness of research methodologies, such as correlation analysis, network analysis, meta-analysis and literature reviews, expert-based assessments, and integrated assessment models in characterizing SDG interlinkages. Most studies indicate that synergies are more prevalent than trade-offs, but they have seldom analyzed whether such infrequent trade-offs might nevertheless have a greater impact on sustainable development. Further, existing methods do not always reveal the directionality and strength of SDG interactions or consider projections of future interlinkages such as transboundary and intergenerational spillovers. In this context, it may be worth revisiting earlier definitions of sustainable development that prioritized intergenerational aspects and future needs.
在实现《2030年议程》的17项可持续发展目标(SDG)方面,世界正处于落后状态,这些目标强调社会、经济和环境层面。实现一个目标可能有助于或阻碍实现另一个目标,但大量潜在的相互作用使得协同效应和权衡取舍的评估变得复杂。在此,我们聚焦于水-能源-粮食关系,以评估关于可持续发展目标相互联系的知识是如何被应用于为政策制定提供信息的。具体而言,我们回顾了相关研究方法的有效性,如相关性分析、网络分析、元分析和文献综述、基于专家的评估以及综合评估模型在刻画可持续发展目标相互联系方面的有效性。大多数研究表明,协同效应比权衡取舍更为普遍,但它们很少分析这种罕见的权衡取舍是否可能对可持续发展产生更大的影响。此外,现有方法并不总是能揭示可持续发展目标相互作用的方向性和强度,也没有考虑未来相互联系的预测,如跨界和代际溢出效应。在这种背景下,或许值得重新审视早期那些优先考虑代际层面和未来需求的可持续发展定义。