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An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM

Author

Listed:
  • Yi-Ming Wei

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Rong Han

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Qiao-Mei Liang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Bi-Ying Yu

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Yun-Fei Yao

    (Beijing Institute of Technology)

  • Mei-Mei Xue

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Kun Zhang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Li-Jing Liu

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Juan Peng

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Pu Yang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Zhi-Fu Mi

    (Beijing Institute of Technology
    University College London)

  • Yun-Fei Du

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Ce Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Jun-Jie Chang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Qian-Ru Yang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Zili Yang

    (Beijing Institute of Technology
    State University of New York at Binghamton)

  • Xueli Shi

    (The National Climate Center of China Meteorological Administration)

  • Wei Xie

    (Peking University)

  • Changyi Liu

    (The National Climate Center of China Meteorological Administration)

  • Zhongyu Ma

    (The National Information Center of National Development and Reform Commission)

  • Jinxiao Tan

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Weizheng Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Bao-Jun Tang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Yun-Fei Cao

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Mingquan Wang

    (Chinese Academy of Sciences)

  • Jin-Wei Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Jia-Ning Kang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Ke Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

  • Hua Liao

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Beijing Key Lab of Energy Economics and Environmental Management)

Abstract

A series of global actions have been made to address climate change. As a recent developed climate policy, Intended Nationally Determined Contributions (INDC) have renewed attention to the importance of exploring temperature rise levels lower than 2 °C, in particular a long-term limit of 1.5 °C, compared to the preindustrial level. Nonetheless, achieving the 2 °C target under the current INDCs depends on dynamic socioeconomic development pathways. Therefore, this study conducts an integrated assessment of INDCs by taking into account different Shared Socioeconomic Pathways (SSPs). To that end, the CEEP-BIT research community develops the China’s Climate Change Integrated Assessment Model (C3IAM) to assess the climate change under SSPs in the context of with and without INDCs. Three SSPs, including “a green growth strategy” (SSP1), “a more middle-of-the-road development pattern” (SSP2) and “further fragmentation between regions” (SSP3) form the focus of this study. Results show that after considering INDCs, mitigation costs become very low and they have no evident positive changes in three SSPs. In 2100, a temperature rise would occur in SSP1-3, which is 3.20, 3.48 and 3.59 °C, respectively. There are long-term difficulties to keep warming well below 2 °C and pursue efforts toward 1.5 °C target even under INDCs. A drastic reduction in greenhouse gas emissions is needed in order to mitigate potentially catastrophic climate change impacts. This work contributes on realizing the hard link between the earth and socioeconomic systems, as well as extending the economic models by coupling the global CGE model with the economic optimum growth model. In C3IAM, China’s energy consumption and emissions pattern are investigated and refined. This study can provide policy makers and the public a better understanding about pathways through which different scenarios could unfold toward 2100, highlights the real mitigation and adaption challenges faced by climate change and can lead to formulating effective policies.

Suggested Citation

  • Yi-Ming Wei & Rong Han & Qiao-Mei Liang & Bi-Ying Yu & Yun-Fei Yao & Mei-Mei Xue & Kun Zhang & Li-Jing Liu & Juan Peng & Pu Yang & Zhi-Fu Mi & Yun-Fei Du & Ce Wang & Jun-Jie Chang & Qian-Ru Yang & Zil, 2018. "An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 585-618, June.
  • Handle: RePEc:spr:nathaz:v:92:y:2018:i:2:d:10.1007_s11069-018-3297-9
    DOI: 10.1007/s11069-018-3297-9
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    References listed on IDEAS

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    1. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    2. Tol, Richard S.J., 2013. "Targets for global climate policy: An overview," Journal of Economic Dynamics and Control, Elsevier, vol. 37(5), pages 911-928.
    3. Joseph Aldy & William Pizer & Massimo Tavoni & Lara Aleluia Reis & Keigo Akimoto & Geoffrey Blanford & Carlo Carraro & Leon E. Clarke & James Edmonds & Gokul C. Iyer & Haewon C. McJeon & Richard Riche, 2016. "Economic tools to promote transparency and comparability in the Paris Agreement," Nature Climate Change, Nature, vol. 6(11), pages 1000-1004, November.
    4. Johannes Emmerling & Laurent Drouet & Lara Aleluia Reis & Michela Bevione & Loic Berger & Valentina Bosetti & Samuel Carrara & Enrica De Cian & Gauthier De Maere D'Aertrycke & Tom Longden & Maurizio M, 2016. "The WITCH 2016 Model - Documentation and Implementation of the Shared Socioeconomic Pathways," Working Papers 2016.42, Fondazione Eni Enrico Mattei.
    5. Alexander Popp & Florian Humpenöder & Isabelle Weindl & Benjamin Leon Bodirsky & Markus Bonsch & Hermann Lotze-Campen & Christoph Müller & Anne Biewald & Susanne Rolinski & Miodrag Stevanovic & Jan Ph, 2014. "Land-use protection for climate change mitigation," Nature Climate Change, Nature, vol. 4(12), pages 1095-1098, December.
    6. Sohngen, Brent & Tennity, Colleen & Hnytka, Marc & Meeusen, Karl, 2008. "Global Forestry Data for the Economic Modeling of Land Use," GTAP Working Papers 2602, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    7. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    8. Tsang, Eric W. K., 2014. "Old and New," Management and Organization Review, Cambridge University Press, vol. 10(03), pages 390-390, November.
    9. Steven K. Rose & Richard Richels & Geoffrey Blanford & Thomas Rutherford, 2017. "The Paris Agreement and next steps in limiting global warming," Climatic Change, Springer, vol. 142(1), pages 255-270, May.
    10. Detlef Vuuren & Timothy Carter, 2014. "Climate and socio-economic scenarios for climate change research and assessment: reconciling the new with the old," Climatic Change, Springer, vol. 122(3), pages 415-429, February.
    11. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    12. Wirsenius, Stefan & Azar, Christian & Berndes, Göran, 2010. "How much land is needed for global food production under scenarios of dietary changes and livestock productivity increases in 2030?," Agricultural Systems, Elsevier, vol. 103(9), pages 621-638, November.
    13. Sohngen, Brent & Tennity, Colleen & Hnytka, Marc & Meeusen, Karl, 2008. "Global Forestry Data for the Economic Modeling of Land Use," Working papers 283459, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Avetisyan, Misak & Uris Baldos & Thomas Hertel, 2010. "Development of the GTAP Version 7 Land Use Data Base," GTAP Research Memoranda 3426, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    15. Wei, Yi-Ming & Wang, Lu & Liao, Hua & Wang, Ke & Murty, Tad & Yan, Jinyue, 2014. "Responsibility accounting in carbon allocation: A global perspective," Applied Energy, Elsevier, vol. 130(C), pages 122-133.
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