The Shared Socioeconomic Pathways and Their Energy, Land Use, and Greenhouse Gas Emissions Implications¶
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., et al. (2017). The Shared Socioeconomic Pathways and Their Energy, Land Use, and Greenhouse Gas Emissions Implications: An Overview. Global Environmental Change, 153-168.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Backcasting
- Linear backcasts can miss these feedbacks; more sophisticated approaches use system-dynamics modeling or agent-based simulation to layer feedback onto the backcast structure—an approach exemplified in the Shared Socioeconomic Pathways (SSP) framework Riahi et al. (2017) developed for integrated climate-economy modeling.
This sourceEstablishes the SSP framework integrating socioeconomic narratives with quantified emissions pathways.
- Linear backcasts can miss these feedbacks; more sophisticated approaches use system-dynamics modeling or agent-based simulation to layer feedback onto the backcast structure—an approach exemplified in the Shared Socioeconomic Pathways (SSP) framework Riahi et al. (2017) developed for integrated climate-economy modeling.
- Scenario Planning
- Traditional sensitivity analysis varied one parameter at a time; the company recognized that the interactions between these parameters were strategically critical, mirroring the multi-driver Shared Socioeconomic Pathways framework formalized by Riahi et al. (2017) for energy-emission scenario construction.
This sourceEstablishes the SSP framework integrating socioeconomic narratives with quantified emissions pathways; demonstrates how scenario logic and feedback modeling combine to support backcasting from climate-policy targets.
- Traditional sensitivity analysis varied one parameter at a time; the company recognized that the interactions between these parameters were strategically critical, mirroring the multi-driver Shared Socioeconomic Pathways framework formalized by Riahi et al. (2017) for energy-emission scenario construction.
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