2021
DOI: 10.26686/wgtn.14349203
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Adapting global shared socio-economic pathways for national and local scenarios

Abstract: © 2018 The Authors Socio-economic scenarios enable us to understand the extent to which global-, national- and local-scale societal developments can influence the nature and severity of climate change risks and response options. Shared socio-economic pathways (SSPs) enable a systematic exploration of the challenges to adaptation and mitigation that alternative futures entail. However, SSPs are primarily defined for the global scale. If countries are to test their adaptation and mitigation options for robustnes… Show more

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Cited by 7 publications
(9 citation statements)
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“…Learning from data is the objective of both statistics and ML techniques [Frame et al, 2018]. But instead of asymptotic statistical processes, the ML models not led by economic theory have a great deal with algorithms.…”
Section: Role Of Aimentioning
confidence: 99%
“…Learning from data is the objective of both statistics and ML techniques [Frame et al, 2018]. But instead of asymptotic statistical processes, the ML models not led by economic theory have a great deal with algorithms.…”
Section: Role Of Aimentioning
confidence: 99%
“…Community led and indigenous led adaptation research continues to burgeon (Ayers and Forsyth, 2009;David-Chavez and Gavin, 2018), especially in many mountain (Section 2.3.2.3), Arctic (Section 3.5), and coastal (Section 4.4.4.4, 4.4.5.4, Cross-Chapter Box 9) areas, and demonstrate potential for enabling transformational adaptation (Dodman and Mitlin, 2013;Chung Tiam Fook, 2017). Similarly, the concepts of scenario planning and 'adaptation pathway' design have expanded since AR5, especially in the context of development planning for coastal and delta regions (Section 4.4, Cross-Chapter Box 9; Wise et al, 2014;Maier et al, 2016;Bloemen et al, 2018;Flynn et al, 2018;Frame et al, 2018;Lawrence et al, 2018).…”
Section: Supporting Biological and Ecological Adaptationmentioning
confidence: 99%
“…O'Neill et al ( 2017) created a list of driving forces for the SSPs, but emphasised that this list was not exhaustive and could be adapted or extended. To link these driving forces with the SDGs, we refined the list of socioeconomic driving forces so that they were appropriate for the local context (O'Neill et al 2017;Absar and Preston 2015;Frame et al 2018;van Ruijven et al 2014). This was informed by knowledge gathered from the contextual analysis and community engagement, as we had identified the key community concerns and vision for the future.…”
Section: Identifying Local Driving Forcesmentioning
confidence: 99%
“…While there have been studies which extend the SSPs to be regionally relevant (Absar and Preston 2015;Frame et al 2018;Kok et al 2019;Nilsson et al 2017;Palazzo et al 2017;Reimann, Merkens and Vafeidis 2018;Zandersen et al 2019), and additionally studies which incorporate SSPs and SDGs at a sub-global scale (Allen et al 2019;Gil et al 2019;Moyer and Hedden 2020), a new approach was needed to address the unique challenges of assessing the achievement of the SDGs Wiedmann 2016, 2017), at both global and local scales. By downscaling and linking the SDGs to the existing pathway framework of the SSPs, we have provided a consistent and tested method to generate pathways that can be used with any SDG implementation.…”
Section: The Need For Local Socioeconomic Pathwaysmentioning
confidence: 99%
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