@article{WenzWillnerRadebachetal.2015,
  author    = {Wenz, Leonie and Willner, Sven N. and Radebach, Alexander and Bierkandt, Robert and Steckel, Jan Christoph and Levermann, Anders},
  title     = {Regional and sectoral disaggregation of multi-regional input-output tables - a flexible algorithm},
  series = {Economic systems research : journal of the International Input-Output Association},
  volume    = {27},
  journal   = {Economic systems research : journal of the International Input-Output Association},
  number    = {2},
  publisher = {Routledge, Taylor \& Francis Group},
  address   = {Abingdon},
  issn      = {0953-5314},
  doi       = {10.1080/09535314.2014.987731},
  pages     = {194 -- 212},
  year      = {2015},
  abstract  = {A common shortcoming of available multi-regional input-output (MRIO) data sets is their lack of regional and sectoral detail required for many research questions (e.g. in the field of disaster impact analysis). We present a simple algorithm to refine MRIO tables regionally and/or sectorally. By the use of proxy data, each MRIO flow in question is disaggregated into the corresponding sub-flows. This downscaling procedure is complemented by an adjustment rule ensuring that the sub-flows match the superordinate flow in sum. The approximation improves along several iteration steps. The algorithm unfolds its strength through the flexible combination of multiple, possibly incomplete proxy data sources. It is also flexible in a sense that any target sector and region resolution can be chosen. As an exemplary case we apply the algorithm to a regional and sectoral refinement of the Eora MRIO database.},
  language  = {en}
}
@article{OttoWillnerWenzetal.2017,
  author    = {Otto, Christian and Willner, Sven N. and Wenz, Leonie and Frieler, Katja and Levermann, Anders},
  title     = {Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate},
  series = {Journal of economic dynamics \& control},
  volume    = {83},
  journal   = {Journal of economic dynamics \& control},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0165-1889},
  doi       = {10.1016/j.jedc.2017.08.001},
  pages     = {232 -- 269},
  year      = {2017},
  abstract  = {World markets are highly interlinked and local economies extensively rely on global supply and value chains. Consequently, local production disruptions, for instance caused by extreme weather events, are likely to induce indirect losses along supply chains with potentially global repercussions. These complex loss dynamics represent a challenge for comprehensive disaster risk assessments. Here, we introduce the numerical agent-based model acclimate designed to analyze the cascading of economic losses in the global supply network. Using national sectors as agents, we apply the model to study the global propagation of losses induced by stylized disasters. We find that indirect losses can become comparable in size to direct ones, but can be efficiently mitigated by warehousing and idle capacities. Consequently, a comprehensive risk assessment cannot focus solely on first-tier suppliers, but has to take the whole supply chain into account. To render the supply network climate-proof, national adaptation policies have to be complemented by international adaptation efforts. In that regard, our model can be employed to assess reasonable leverage points and to identify dynamic bottlenecks inaccessible to static analyses. (C) 2017 Elsevier B.V. All rights reserved.},
  language  = {en}
}