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Acclimate—a model for economic damage propagation. Part 1: basic formulation of damage transfer within a global supply network and damage conserving dynamics

Author

Listed:
  • Robert Bierkandt

    (Potsdam Institute for Climate Impact Research (PIK)
    Potsdam University)

  • Leonie Wenz

    (Potsdam Institute for Climate Impact Research (PIK)
    Potsdam University
    Mercator Research Institute on Global Commons and Climate Change (MCC))

  • Sven Norman Willner

    (Potsdam Institute for Climate Impact Research (PIK)
    Potsdam University)

  • Anders Levermann

    (Potsdam Institute for Climate Impact Research (PIK)
    Potsdam University
    Potsdam Institute for Climate Impact Research (PIK))

Abstract

Climate extremes are expected to become more frequent and intense under future warming. In a globalized economy, outages of productive capital and infrastructure have the potential to spread around the world. In order to address those repercussions in the framework of a risk analysis or a resilience strategy, a disaster’s indirect consequences on the economic supply network need to be understood. We developed a numerical model to simulate these indirect effects along global supply chains for time scales of days to months. This article is the first in a series of four, which describes the damage-propagation model. In this first paper, we describe the pure damage propagation within the network and focus on the fundamental propagation of supply failure between production sites including their input and output storages and transport-related time delay. Idealized examples are presented to illustrate the dynamic damage propagation. Further articles will extend the dynamics to include demand changes due to the perturbation in the supply, the possibility to extend production to compensate for production failure, price responses and adaptive changes in the economic supply network. The underlying global supply network is based on data from multi-regional input–output tables. Transportation times are derived from geographic distances. In the initial model version presented here, indirect production losses are caused by cascading effects. They are propagated within the network without significant reduction in loss (damage conservation). They can thus be observed within the different storages or they “leak out” of the system through reduced consumption of the final consumer. As an example, we investigate the cascading behavior of losses for the machinery sector in Japan.

Suggested Citation

  • Robert Bierkandt & Leonie Wenz & Sven Norman Willner & Anders Levermann, 2014. "Acclimate—a model for economic damage propagation. Part 1: basic formulation of damage transfer within a global supply network and damage conserving dynamics," Environment Systems and Decisions, Springer, vol. 34(4), pages 507-524, December.
  • Handle: RePEc:spr:envsyd:v:34:y:2014:i:4:d:10.1007_s10669-014-9523-4
    DOI: 10.1007/s10669-014-9523-4
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    References listed on IDEAS

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    Cited by:

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    2. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. repec:hal:spmain:info:hdl:2441/1nlv566svi86iqtetenms15tc4 is not listed on IDEAS
    4. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Chan, Hau-Ling & Bryde, David J., 2022. "The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events," International Journal of Production Economics, Elsevier, vol. 251(C).
    5. repec:hal:spmain:info:hdl:2441/5qr7f0k4sk8rbq4do5u6v70rm0 is not listed on IDEAS
    6. Muhammad Abdullah Khalid & Yousaf Ali, 2020. "Economic impact assessment of natural disaster with multi-criteria decision making for interdependent infrastructures," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7287-7311, December.

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