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Sensitivity of projected long-term CO2 emissions across the Shared Socioeconomic Pathways

Author

Listed:
  • G. Marangoni
  • M. Tavoni
  • V. Bosetti

    (Fondazione Eni Enrico Mattei, CESifo and Euro-Mediterranean Centre for Climate Change, Milan - affiliation inconnue)

  • E. Borgonovo

    (DEC and ELEUSI - Bocconi University [Milan, Italy])

  • P. Capros

    (E3MLab - Institute of Communication and Computer Systems - NTUA - National Technical University of Athens [Athens])

  • O. Fricko
  • J. Gernaat
  • Céline Guivarch

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • P. Havlik

    (Ecosystem Services and Management - IIASA - International Institute for Applied Systems Analysis [Laxenburg])

  • D. Huppmann
  • N. Johnson
  • P. Karkatsoulis
  • I. Keppo

    (UCL Energy Institute - UCL - University College of London [London])

  • V. Krey

    (IIASA - International Institute for Applied Systems Analysis [Laxenburg])

  • E. Ó Broin

    (Chalmers University of Technology [Göteborg])

  • J. Price
  • D. P. van Vuuren

    (Universiteit Utrecht / Utrecht University [Utrecht], Netherlands Environmental Assessment Agency)

Abstract

Scenarios showing future greenhouse gas emissions are needed to estimate climate impacts and the mitigation efforts required for climate stabilization. Recently, the Shared Socioeconomic Pathways (SSPs) have been introduced to describe alternative social, economic and technical narratives, spanning a wide range of plausible futures in terms of challenges to mitigation and adaptation1. Thus far the key drivers of the uncertainty in emissions projections have not been robustly disentangled. Here we assess the sensitivities of future CO2 emissions to key drivers characterizing the SSPs. We use six state-of-the-art integrated assessment models with different structural characteristics, and study the impact of five families of parameters, related to population, income, energy efficiency, fossil fuel availability, and low-carbon energy technology development. A recently developed sensitivity analysis algorithm2 allows us to parsimoniously compute both the direct and interaction effects of each of these drivers on cumulative emissions. The study reveals that the SSP assumptions about energy intensity and economic growth are the most important determinants of future CO2 emissions from energy combustion, both with and without a climate policy. Interaction terms between parameters are shown to be important determinants of the total sensitivities.

Suggested Citation

  • G. Marangoni & M. Tavoni & V. Bosetti & E. Borgonovo & P. Capros & O. Fricko & J. Gernaat & Céline Guivarch & P. Havlik & D. Huppmann & N. Johnson & P. Karkatsoulis & I. Keppo & V. Krey & E. Ó Broin &, 2017. "Sensitivity of projected long-term CO2 emissions across the Shared Socioeconomic Pathways," Post-Print halshs-01437549, HAL.
  • Handle: RePEc:hal:journl:halshs-01437549
    DOI: 10.1038/nclimate3199
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    Cited by:

    1. Govorukha, Kristina & Mayer, Philip & Rübbelke, Dirk & Vögele, Stefan, 2020. "Economic disruptions in long-term energy scenarios – Implications for designing energy policy," Energy, Elsevier, vol. 212(C).
    2. Vivien Fisch-Romito & Céline Guivarch, 2019. "Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants," Post-Print hal-02131954, HAL.
    3. Giannousakis, Anastasis & Hilaire, Jérôme & Nemet, Gregory F. & Luderer, Gunnar & Pietzcker, Robert C. & Rodrigues, Renato & Baumstark, Lavinia & Kriegler, Elmar, 2021. "How uncertainty in technology costs and carbon dioxide removal availability affect climate mitigation pathways," Energy, Elsevier, vol. 216(C).
    4. Florian Leblanc & Ruben Bibas & Silvana Mima & Matteo Muratori & Shogo Sakamoto & Fuminori Sano & Nico Bauer & Vassilis Daioglou & Shinichiro Fujimori & Matthew J Gidden & Estsushi Kato & Steven K Ros, 2022. "The contribution of bioenergy to the decarbonization of transport: a multi-model assessment," Post-Print hal-03558507, HAL.
    5. Lili Sun & Huijuan Cui & Quansheng Ge, 2021. "Driving Factors and Future Prediction of Carbon Emissions in the ‘Belt and Road Initiative’ Countries," Energies, MDPI, vol. 14(17), pages 1-21, September.
    6. Marian Leimbach & Anastasis Giannousakis, 2019. "Burden sharing of climate change mitigation: global and regional challenges under shared socio-economic pathways," Climatic Change, Springer, vol. 155(2), pages 273-291, July.
    7. Florian Leblanc & Ruben Bibas & Silvana Mima & Matteo Muratori & Shogo Sakamoto & Fuminori Sano & Nico Bauer & Vassilis Daioglou & Shinichiro Fujimori & Matthew J. Gidden & Estsushi Kato & Steven K. R, 2022. "The contribution of bioenergy to the decarbonization of transport: a multi-model assessment," Climatic Change, Springer, vol. 170(3), pages 1-21, February.
    8. Shannon G. Klein & Cassandra Roch & Carlos M. Duarte, 2024. "Systematic review of the uncertainty of coral reef futures under climate change," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    9. Fei Guo & Bas J. Ruijven & Behnam Zakeri & Shining Zhang & Xing Chen & Changyi Liu & Fang Yang & Volker Krey & Keywan Riahi & Han Huang & Yuanbing Zhou, 2022. "Implications of intercontinental renewable electricity trade for energy systems and emissions," Nature Energy, Nature, vol. 7(12), pages 1144-1156, December.
    10. Brockway, Paul E. & Sorrell, Steve & Semieniuk, Gregor & Heun, Matthew Kuperus & Court, Victor, 2021. "Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    11. Jiancheng Qin & Hui Tao & Minjin Zhan & Qamar Munir & Karthikeyan Brindha & Guijin Mu, 2019. "Scenario Analysis of Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    12. Matteo Fontana & Massimo Tavoni & Simone Vantini, 2020. "Global Sensitivity and Domain-Selective Testing for Functional-Valued Responses: An Application to Climate Economy Models," Papers 2006.13850, arXiv.org, revised Apr 2024.
    13. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    14. Hsing-Hsuan Chen & Andries F. Hof & Vassilis Daioglou & Harmen Sytze de Boer & Oreane Y. Edelenbosch & Maarten van den Berg & Kaj-Ivar van der Wijst & Detlef P. van Vuuren, 2021. "Using Decomposition Analysis to Determine the Main Contributing Factors to Carbon Neutrality across Sectors," Energies, MDPI, vol. 15(1), pages 1-18, December.
    15. Marco Amendola & Francesco Lamperti & Andrea Roventini & Alessandro Sapio, 2023. "Energy efficiency policies in an agent-based macroeconomic model," LEM Papers Series 2023/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Edelenbosch, O.Y. & van Vuuren, D.P. & Blok, K. & Calvin, K. & Fujimori, S., 2020. "Mitigating energy demand sector emissions: The integrated modelling perspective," Applied Energy, Elsevier, vol. 261(C).
    17. Elke Stehfest & Willem-Jan Zeist & Hugo Valin & Petr Havlik & Alexander Popp & Page Kyle & Andrzej Tabeau & Daniel Mason-D’Croz & Tomoko Hasegawa & Benjamin L. Bodirsky & Katherine Calvin & Jonathan C, 2019. "Key determinants of global land-use projections," Nature Communications, Nature, vol. 10(1), pages 1-10, December.

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