TY  - JOUR
A1  - Wenz, Leonie
A1  - Willner, Sven N.
A1  - Radebach, Alexander
A1  - Bierkandt, Robert
A1  - Steckel, Jan Christoph
A1  - Levermann, Anders
T1  - Regional and sectoral disaggregation of multi-regional input-output tables - a flexible algorithm
JF  - Economic systems research : journal of the International Input-Output Association
N2  - 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.
KW  - Disaster impact analysis
KW  - Disaggregation
KW  - Global supply chains
KW  - Life cycle assessment
KW  - Regionalization
Y1  - 2015
U6  - https://doi.org/10.1080/09535314.2014.987731
SN  - 0953-5314
SN  - 1469-5758
VL  - 27
IS  - 2
SP  - 194
EP  - 212
PB  - Routledge, Taylor & Francis Group
CY  - Abingdon
ER  - 
TY  - JOUR
A1  - Otto, Christian
A1  - Willner, Sven N.
A1  - Wenz, Leonie
A1  - Frieler, Katja
A1  - Levermann, Anders
T1  - Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate
JF  - Journal of economic dynamics & control
N2  - 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.
KW  - Disaster impact analysis
KW  - Higher-order effects
KW  - Economic network
KW  - Resilience
KW  - Dynamic input-output model
KW  - Agent-based modeling
Y1  - 2017
U6  - https://doi.org/10.1016/j.jedc.2017.08.001
SN  - 0165-1889
SN  - 1879-1743
VL  - 83
SP  - 232
EP  - 269
PB  - Elsevier
CY  - Amsterdam
ER  -