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Towards systemic and contextual priority setting for implementing the 2030 Agenda.

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Understanding interactions between Sustainable Development Goals (SDGs) is crucial for effective policy. This study introduces a new method using network analysis to reveal complex SDG target relationships, improving priority setting for the 2030 Agenda.

Keywords:
2030 AgendaNetwork analysisPolicy coherenceSustainable development goals (SDG)Systems analysis

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Area of Science:

  • Environmental Science
  • Policy Studies
  • Systems Analysis

Background:

  • The 2030 Agenda for Sustainable Development necessitates understanding interdependencies between Sustainable Development Goals (SDGs).
  • Previous analyses of SDG interactions have been simplistic, focusing on individual goal perspectives.
  • A more sophisticated approach is needed to grasp the systemic nature of SDG target interrelationships for effective implementation.

Purpose of the Study:

  • To develop and present an advanced methodology for assessing systemic and contextual interactions among SDG targets.
  • To provide a robust framework for policy and planning that accounts for the complex web of SDG interdependencies.
  • To enhance the prioritization of efforts towards achieving all 17 SDGs by considering their interconnectedness.

Main Methods:

  • Utilizing a cross-impact matrix with a novel typology for scoring interactions between SDG targets.
  • Employing network analysis techniques to explore and visualize the complex relationships among SDG targets.
  • Applying the developed approach to a case study, such as Sweden, to illustrate practical implications for SDG prioritization.

Main Results:

  • Identification of SDG targets with the most significant positive and negative influences within the network.
  • Mapping of strong synergistic and trade-off links between targets, highlighting areas needing focused attention.
  • Discovery of clusters of mutually reinforcing SDG targets, indicating opportunities for cross-sectoral collaboration.

Conclusions:

  • The proposed approach offers a more comprehensive understanding of SDG interactions than traditional methods.
  • Systemic analysis of SDG targets provides a stronger evidence base for strategic planning and resource allocation.
  • Context-specific application of this methodology can significantly refine priority setting to maximize progress across the entire SDG framework.