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  • 1
    Publication Date: 2022-03-21
    Type: info:eu-repo/semantics/article
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  • 2
    Publication Date: 2022-03-21
    Description: To fulfill the 2030 Agenda, the complexity of sustainable development goal (SDG)interactions needs to be disentangled. However, this understanding is currently lim-ited. We conduct a cross-sectional correlational analysis for 2016 to understand SDGinteractions under the entire development spectrum. We apply several correlationmethods to classify the interaction as synergy or trade-off and characterize themaccording to their monotony and linearity. Simultaneously, we analyze SDG interac-tions considering population, location, income, and regional groups. Our findingshighlight that synergies always outweigh trade-offs and linear outweigh non-linearinteractions. SDG 1, 5, and 6 are associated with linear synergies, SDG 3, and 7 withnon-linear synergies. SDG interactions vary according to a country's income andregion along with the gender, age, and location of its population. In summary, toachieve the 2030 Agenda the detected interactions and inequalities across countriesneed be tracked and leveraged to“leave no one behind.”
    Type: info:eu-repo/semantics/article
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  • 3
    Publication Date: 2022-09-01
    Description: The Sustainable Development Goals (SDGs) were adopted by the United Nations in 2015 as part of the “2030 Agenda for Sustainable Development” and aim to address issues ranging from poverty and economic growth to climate change. Efforts to tackle one issue can support or hinder progress towards others, often with complex systemic interactions. Thus, each of the SDGs and their corresponding targets may contribute as levers or hurdles towards achieving other SDGs and targets. Based on SDG indicator data, we create a systems model considering influence among the SDGs and their targets. Once assessed within a system, we find that more SDGs and their corresponding targets act as levers towards achieving other goals and targets rather than as hurdles. In particular, efforts towards SDGs 5 (Gender Equality) and 17 (Partnerships for the Goals) may accelerate progress, while SDGs 10 (Reduced Inequalities) and 16 (Peace, Justice and Strong Institutions) are shown to create potential hurdles. The model results can be used to help promote supportive interactions and overcome hindering ones in the long term.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 4
    Publication Date: 2022-10-21
    Description: The 2020s are an essential decade for achieving the 2030 Agenda and its Sustainable Development Goals (SDGs). For this, SDG research needs to provide evidence that can be translated into concrete actions. However, studies use different SDG data, resulting in incomparable findings. Researchers primarily use SDG databases provided by the United Nations (UN), the World Bank Group (WBG), and the Bertelsmann Stiftung & Sustainable Development Solutions Network (BE-SDSN). We compile these databases into one unified SDG database and examine the effects of the data selection on our understanding of SDG interactions. Among the databases, we observed more different than similar SDG interactions. Differences in synergies and trade-offs mainly occur for SDGs that are environmentally oriented. Due to the increased data availability, the unified SDG database offers a more nuanced and reliable view of SDG interactions. Thus, the SDG data selection may lead to diverse findings, fostering actions that might neglect or exacerbate trade-offs.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 5
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    In:  The Political Impact of the Sustainable Development Goals: Transforming Governance Through Global Goals?
    Publication Date: 2023-05-24
    Language: English
    Type: info:eu-repo/semantics/bookPart
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  • 6
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    In:  Interlinkages between the Sustainable Development Goals
    Publication Date: 2024-02-20
    Description: Countries are not on track to achieve the 2030 Agenda for Sustainable Development, comprising 17 Sustainable Development Goals (SDGs). Rescuing the 2030 Agenda requires prioritizing SDGs based on an understanding of complex SDG interactions. Many methods are used to unentangle SDG interactions, from literature reviews to modelling. Among these methods, this chapter provides an overview of quantitative studies on SDG interactions, including a diverse SDG data landscape. We provide insights into selected studies on SDG interactions and their data used, methods applied, and findings obtained. These studies mainly include statistical analysis of SDG interactions based on longitudinal and cross-sectional analyses. Some studies further used the results obtained from the statistical analyses to build SDG networks and systems models. We also provide a brief account of other methods. This chapter highlights the need to use quantitative and qualitative methods for a holistic understanding of SDG interactions, including their local and context-specific mechanisms.
    Language: English
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