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Enabling local adoption of the sustainable development goals (SDGs) is important to accelerate global efforts to achieve sustainable development. However, local governments have plural perspectives on how to engage with the SDGs. In this paper, we identify three perspectives on how to enable local SDGs based on cases of nine local governments in Australia. We emphasize the need for seeing local SDG adoption as contextualized and actor-driven processes.
Technical Summary
Local governments worldwide are taking the initiative to engage with sustainable development goals (SDGs) despite the absence of a globally coordinated guideline on local SDGs actions. With less than a decade until its 2030 deadline, a more targeted and nuanced approach to enabling local SDG actions is needed. In this paper, we argue that there is a need to look at local SDG actions as an actor-driven process where agency, contexts, purpose, and dynamics co-evolve and shape the outcome of the process. Using Q-methodology, we explore different perspectives on what enables local SDGs actions in nine local governments in Australia. Three perspectives in enabling local SDG actions emerged from the study: (1) ‘Enablers should support institutional embeddedness of the SDGs’, (2) ‘Enablers should support stakeholder coordination for the SDGs’, and (3) ‘Enablers should support community engagement for the SDGs’. Each perspective has preferred enablers, contextualized within certain ways of engaging with the SDGs, certain views of the SDGs, and specific local contexts and capacities. This study provides insights to contextualize knowledge in current literature to enable local SDG actions.
Social media summary
Many understand that the local adoption of the sustainable development goals (SDGs) is not a one-shoe-fits-all process, but what are some of the plurality in local SDG adoptions? In this paper, we identify three perspectives on enabling the SDGs based on nine local governments in Australia.
This article takes stock of the 2030 Agenda and focuses on five governance areas. In a nutshell, we see a quite patchy and often primarily symbolic uptake of the global goals. Although some studies highlight individual success stories of actors and institutions to implement the goals, it remains unclear how such cases can be upscaled and develop a broader political impact to accelerate the global endeavor to achieve sustainable development. We hence raise concerns about the overall effectiveness of governance by goal-setting and raise the question of how we can make this mode of governance more effective.
Technical Summary
A recent meta-analysis on the political impact of the Sustainable Development Goals (SDGs) has shown that these global goals are moving political processes forward only incrementally, with much variation across countries, sectors, and governance levels. Consequently, the realization of the 2030 Agenda for Sustainable Development remains uncertain. Against this backdrop, this article explores where and how incremental political changes are taking place due to the SDGs, and under what conditions these developments can bolster sustainability transformations up to 2030 and beyond. Our scoping review builds upon an online expert survey directed at the scholarly community of the ‘Earth System Governance Project’ and structured dialogues within the ‘Taskforce on the SDGs’ under this project. We identified five governance areas where some effects of the SDGs have been observable: (1) global governance, (2) national policy integration, (3) subnational initiatives, (4) private governance, and (5) education and learning for sustainable development. This article delves deeper into these governance areas and draws lessons to guide empirical research on the promises and pitfalls of accelerating SDG implementation.
Social Media Summary
As SDG implementation lags behind, this article explores 5 governance areas asking how to strengthen the global goals.
Models are increasingly used to inform the transformation of human–Earth systems towards a sustainable future, aligned with the sustainable development goals (SDGs). We argue that a greater diversity of models ought to be used for sustainability analysis to better address complexity and uncertainty. We articulate the steps to model global change socioeconomic and climatic scenarios with new models. Through these steps, we generate new scenario projections using a human–Earth system dynamics model. Our modelling brings new insights about the sensitivity of sustainability trends to future uncertainty and their alignment with or divergence from previous model-based scenario projections.
Technical summary
The future uncertainty and complexity of alternative socioeconomic and climatic scenarios challenge the model-based analysis of sustainable development. Obtaining robust insights requires a systematic processing of uncertainty and complexity not only in input assumptions, but also in the diversity of model structures that simulates the multisectoral dynamics of human and Earth system interactions. Here, we implement the global change scenarios, that is, the shared socioeconomic pathways and the representative concentration pathways, in a feedback-rich, integrated assessment model (IAM) of human–Earth system dynamics, called FeliX, to serve two aims: (1) to provide modellers with well-defined steps for the adoption of established scenarios in new IAMs and (2) to explore the impacts of model uncertainty and its structural complexity on the projection of these scenarios for sustainable development. Our modelling shows internally consistent scenario storylines across sectors, yet with quantitatively different realisations of these scenarios compared to other IAMs due to the new model's structural complexity. The results highlight the importance of enumerating global change scenarios and their uncertainty exploration with a diversity of models of different input assumptions and structures to capture a wider variety of future possibilities and sustainability indicators.
Social media summary
New study highlights the importance of global change scenario analysis with new, SDG-focused IAMs.
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