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  title = {Exiobase 3: Developing a Time Series of Detailed Environmentally Extended Multi-Regional Input-Output Tables},
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}

@misc{oecd-2021-oecd-inter,
  Author = {OECD},
  Date = {2021},
  Title = {OECD Inter-Country Input-Output Database},
  URL = {http://oe.cd/icio},
}


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@article{coronese-2022-econom-impac,
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  Author = {Matteo Coronese and Davide Luzzati},
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  Year = {2022},
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}

@article{botzen-2019-econom-impac,
  Title = {The {{Economic Impacts}} of {{Natural Disasters}}: {{A Review}} of {{Models}} and {{Empirical Studies}}},
  Abstract = { Abstract Economic losses from natural disasters have been increasing in recent decades. This has been attributed mainly to population and economic growth in disaster-prone areas. Future natural disaster losses are expected to increase due to a continued increase in economic exposure and climate change. This highlights the importance of designing policies that can mitigate the impacts of these disasters on the economy and society. A rapidly expanding literature has estimated the direct (e.g., property damage) and indirect (e.g., gross domestic product growth, trade) economic impacts of natural disasters. This article reviews this emerging literature. We synthesize the main theoretical, computational, and empirical methods used, summarize key findings on the economic impacts of natural disasters, and discuss factors that have been found to mitigate disaster impacts. We conclude by identifying lessons for policymakers and outlining an agenda for future research in this field. },
  Author = {Botzen, W J Wouter and Deschenes, Olivier and Sanders, Mark},
  DOI = {10.1093/reep/rez004},
  Date = {2019-08-01},
  File = { /home/samuel/Nextcloud/BiblioGlobal/Papers/ThesisDisruptSC/botzenEconomicImpactsNatural2019.pdf },
  ISSN = {1750-6816, 1750-6824},
  JournalTitle = {Review of Environmental Economics and Policy},
  Note = {00003},
  Number = {2},
  Pages = {167--188},
  ShortTitle = {The {{Economic Impacts}} of {{Natural Disasters}}},
  URL = {https://academic.oup.com/reep/article/13/2/167/5522921},
  URLDate = {2020-03-09},
  Volume = {13},
  langid = {english},
}

@misc{numpy,
     author        = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J.
                 van der Walt and Ralf Gommers and Pauli Virtanen and David
                 Cournapeau and Eric Wieser and Julian Taylor and Sebastian
                 Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
                 and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
                 Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del
                 R{\'{i}}o and Mark Wiebe and Pearu Peterson and Pierre
                 G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
                 Warren Weckesser and Hameer Abbasi and Christoph Gohlke and
                 Travis E. Oliphant},
    title = {NumPy},
    year = {2020},
    publisher = {GitHub},
    journal = {GitHub repository},
    url = {https://github.com/numpy/numpy}
}

https://github.com/IndEcol/pymrio


@article{stadler2021_Pymrio,
  title = {Pymrio \textendash{} {{A Python Based Multi}}-{{Regional Input}}-{{Output Analysis Toolbox}}},
  author = {Stadler, Konstantin},
  year = {2021},
  month = may,
  volume = {9},
  pages = {8},
  publisher = {{Ubiquity Press}},
  issn = {2049-9647},
  doi = {10.5334/jors.251},
  abstract = {Pymrio is an open source tool for Environmentally Extended Multi-Regional Input-Output (EE MRIO) analysis developed in Python. It provides a high-level abstraction layer for global EE MRIO databases in order to simplify common EE MRIO data tasks. Among others, Pymrio includes parsers for several openly available EE MRIO databases (EXIOBASE v1 \textendash{} v3, WIOD, Eora26, OECD-ICIO) as well as methods for production and consumption based accounts calculation, aggregation, stressor origin estimation and visualization. The use of a consistent storage format including meta data and modification history for MRIOs allows to exchange data with other analysis tools, aiming for an increased interoperability of Industrial Ecology analysis software.},
  copyright = {Authors who publish with this journal agree to the following terms:    Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a  Creative Commons Attribution License  that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.  Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.  Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See  The Effect of Open Access ).  All third-party images reproduced on this journal are shared under Educational Fair Use. For more information on  Educational Fair Use , please see  this useful checklist prepared by Columbia University Libraries .   All copyright  of third-party content posted here for research purposes belongs to its original owners.  Unless otherwise stated all references to characters and comic art presented on this journal are \textcopyright, \textregistered{} or \texttrademark{} of their respective owners. No challenge to any owner's rights is intended or should be inferred.},
  journal = {Journal of Open Research Software},
  keywords = {Consumption Based Accounting,Eora26,EXIOBASE,Footprinting,Multi Regional Input Output Analysis,OECD-ICIO,Python,Sustainability Analysis,WIOD},
  language = {en},
  number = {1}
}

@article{lange-2020-projec-expos,
  Title = {Projecting Exposure To Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales},
  Author = {Stefan Lange and Jan Volkholz and Tobias Geiger and Fang Zhao and Iliusi Vega and Ted Veldkamp and Christopher P. O. Reyer and Lila Warszawski and Veronika Huber and Jonas J{\"a}germeyr and Jacob Schewe and David N. Bresch and Matthias B{\"u}chner and Jinfeng Chang and Philippe Ciais and Marie Dury and Kerry Emanuel and Christian Folberth and Dieter Gerten and Simon N. Gosling and Manolis Grillakis and Naota Hanasaki and Alexandra‐Jane Henrot and Thomas Hickler and Yasushi Honda and Akihiko Ito and Nikolay Khabarov and Aristeidis Koutroulis and Wenfeng Liu and Christoph M{\"u}ller and Kazuya Nishina and Sebastian Ostberg and Hannes M{\"u}ller Schmied and Sonia I. Seneviratne and Tobias Stacke and J{\"o}rg Steinkamp and Wim Thiery and Yoshihide Wada and Sven Willner and Hong Yang and Minoru Yoshikawa and Chao Yue and Katja Frieler},
  DOI = {10.1029/2020ef001616},
  JournalTitle = {Earth's Future},
  Number = {12},
  URL = {https://doi.org/10.1029/2020ef001616},
  Volume = {8},
  Year = {2020},
  date_added = {Thu Jan 7 10:15:34 2021},
}

@software{gabriela-aznar-siguan-2023-8383171,
  author       = {Gabriela Aznar Siguan and
                  Emanuel Schmid and
                  Thomas Vogt and
                  Samuel Eberenz and
                  Carmen B. Steinmann and
                  Thomas Röösli and
                  Yue Yu and
                  Evelyn Mühlhofer and
                  Samuel Lüthi and
                  Inga J. Sauer and
                  Jan Hartman and
                  Chahan M. Kropf and
                  Benoit P. Guillod and
                  Zélie Stalhandske and
                  Alessio Ciullo and
                  David N. Bresch and
                  Lukas Riedel and
                  Chris Fairless and
                  Timo Schmid and
                  Pui Man (Mannie) Kam and
                  Nicolas Colombi and
                  wjan262 and
                  Simona Meiler and
                  Leonie Villiger and
                  Rachel\_B and
                  Raphael Portmann and
                  Veronica Bozzini and
                  Dario Stocker},
  title        = {CLIMADA-project/climada\_python: v4.0.1},
  month        = sep,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v4.0.1},
  doi          = {10.5281/zenodo.8383171},
  url          = {https://doi.org/10.5281/zenodo.8383171}
}

@article{guan-2020-global-suppl,
  Title = {Global Supply-Chain Effects of {COVID}-19 Control Measures},
  Author = { Dabo Guan and Daoping Wang and Stephane Hallegatte and Steven J. Davis and Jingwen Huo and Shuping Li and Yangchun Bai and Tianyang Lei and Qianyu Xue and D'Maris Coffman and Danyang Cheng and Peipei Chen and Xi Liang and Bing Xu and Xiaosheng Lu and Shouyang Wang and Klaus Hubacek and Peng Gong },
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  URL = {https://doi.org/10.1038/s41562-020-0896-8},
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}

@article{ranger-2010-asses-poten,
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  Author = { Nicola Ranger and St{\'e}phane Hallegatte and Sumana Bhattacharya and Murthy Bachu and Satya Priya and K. Dhore and Farhat Rafique and P. Mathur and Nicolas Naville and Fanny Henriet and Celine Herweijer and Sanjib Pohit and Jan Corfee-Morlot },
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  Volume = {104},
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}

@article{henriet-2012-firm-networ,
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  Author = {Fanny Henriet and St{\'e}phane Hallegatte and Lionel Tabourier},
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  JournalTitle = {Journal of Economic Dynamics and Control},
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  Year = {2012},
  date_added = {Tue Feb 16 11:56:06 2021},
}

@article{hallegatte-2010-asses-climat,
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  Year = {2010},
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}

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  Title = {An Adaptive Regional Input-Output Model and Its Application To the Assessment of the Economic Cost of {K}atrina},
  Author = {St{\'e}phane Hallegatte},
  DOI = {10.1111/j.1539-6924.2008.01046.x},
  JournalTitle = {Risk Analysis},
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  Year = {2008},
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}

@article{hallegatte-2013-model-role,
  Title = {Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters},
  Author = {St{\'e}phane Hallegatte},
  DOI = {10.1111/risa.12090},
  JournalTitle = {Risk Analysis},
  Number = {1},
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  URL = {https://doi.org/10.1111/risa.12090},
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}

@article{wu-2011-region-indir,
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  Author = {Jidong Wu and Ning Li and St{\'e}phane Hallegatte and Peijun Shi and Aijun Hu and Xueqin Liu},
  DOI = {10.1007/s12665-011-1078-9},
  JournalTitle = {Environmental Earth Sciences},
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}

@article{jenkins-2013-indir-econom,
  Title = {Indirect Economic Losses of Drought Under Future Projections of Climate Change: a Case Study for {{Spain}}},
  Abstract = { Drought is an economically important hazard for many countries, with the potential to cause large direct and indirect economic losses. Superimposed on this risk is the danger that future anthropogenic climate change poses. The study utilises projected estimates of direct drought losses, for a variety of different climate change scenarios, to assess how input-output analysis could be used to estimate indirect losses. Modifications were made to the adaptive regional input-output model to consider both the severity of individual drought events and the propagation of economic losses over time and applied to a case study of Spain. The study highlights the importance of the distribution of drought severity and direct losses over time when modelling indirect losses, emphasising a need to focus on time steps shorter than a year to model losses more comprehensively. The results suggest that annual drought losses in 2003-2050 could be up to 32~\% higher for short-term droughts if indirect economic losses were considered and 57~\% higher for longer-term droughts. Indirect losses were shown to increase nonlinearly over time and as emission scenarios became more severe. This suggests that the benefits of stringent mitigation policies in terms of avoided indirect losses may be more substantial than for direct losses in the second half of the twenty-first century. Whilst the estimates presented here are considered illustrative, the study highlights the importance of considering indirect economic losses for providing more comprehensive economic estimates of drought loss under future climate change and for assessing economic benefits of future mitigation and adaptation strategies. },
  Author = {Jenkins, K.},
  DOI = {10.1007/s11069-013-0788-6},
  Date = {2013-12-01},
  File = { /home/samuel/Nextcloud/BiblioGlobal/Papers/ThesisDisruptSC/jenkinsIndirectEconomicLosses2013.pdf },
  ISSN = {1573-0840},
  JournalTitle = {Natural Hazards},
  Note = {00020},
  Number = {3},
  Pages = {1967--1986},
  ShortJournal = {Nat Hazards},
  ShortTitle = { Indirect Economic Losses of Drought under Future Projections of Climate Change },
  URL = {https://doi.org/10.1007/s11069-013-0788-6},
  URLDate = {2020-03-27},
  Volume = {69},
  langid = {english},
}

@article{koks-2015-integ-direc,
  Title = {Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis},
  Author = {E. E. Koks and M. Bo{\v{c}}karjova and H. de Moel and J. C. J. H. Aerts},
  DOI = {10.1111/risa.12300},
  JournalTitle = {Risk Analysis},
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  Volume = {35},
  Year = {2015},
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}

@article{zhang-2018-analy-econom,
  Title = {Analysis of the Economic Ripple Effect of the United States on the World Due To Future Climate Change},
  Author = {Zhengtao Zhang and Ning Li and Hong Xu and Xi Chen},
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  JournalTitle = {Earth's Future},
  Number = {6},
  Pages = {828--840},
  URL = {http://dx.doi.org/10.1029/2018EF000839},
  Volume = {6},
  Year = {2018},
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}

@article{wang-2020-econom-footp,
  Title = {Economic Footprint of {California} Wildfires in 2018},
  Author = { Daoping Wang and Dabo Guan and Shupeng Zhu and Michael Mac Kinnon and Guannan Geng and Qiang Zhang and Heran Zheng and Tianyang Lei and Shuai Shao and Peng Gong and Steven J. Davis },
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  date_added = {Tue Apr 26 17:22:24 2022},
}

@article{wang-2018-quant-spatial,
  Title = {Quantifying the Spatial Ripple Effect of the {B}ohai Sea Ice Disaster in the Winter of 2009/2010 in 31 Provinces of {C}hina},
  Author = {Cailin Wang and Jidong Wu and Xin He and Mengqi Ye and Yu Liu},
  DOI = {10.1080/19475705.2018.1489312},
  JournalTitle = {Geomatics, Natural Hazards and Risk},
  Number = {1},
  Pages = {986--1005},
  URL = {http://dx.doi.org/10.1080/19475705.2018.1489312},
  Volume = {9},
  Year = {2018},
  date_added = {Tue Apr 26 17:51:27 2022},
}

@misc{juhel-2023-robus,
  DATE_ADDED =   {Mon Jan 22 17:46:13 2024},
  author =       {Samuel Juhel and Adrien Delahais and Vincent Vigui{\'e}},
  doi =          {10.31223/x5qd6b},
  title =        {Robustness of the evaluation of indirect costs of natural
                  disasters: example of the ARIO model},
  url =          {http://dx.doi.org/10.31223/X5QD6B},
  year =         2023,
}

@article{willner-2018-global-econom,
  Title = {Global Economic Response To River Floods},
  Author = {Sven Norman Willner and Christian Otto and Anders Levermann},
  DOI = {10.1038/s41558-018-0173-2},
  JournalTitle = {Nature Climate Change},
  Number = {7},
  Pages = {594--598},
  URL = {https://doi.org/10.1038/s41558-018-0173-2},
  Volume = {8},
  Year = {2018},
  date_added = {Tue Sep 21 15:35:46 2021},
}

@article{koks-2019-macroec-impac,
  Title = {The Macroeconomic Impacts of Future River Flooding in Europe},
  Author = {E E Koks and M Thissen and L Alfieri and H De Moel and L Feyen and B Jongman and J C J H Aerts},
  DOI = {10.1088/1748-9326/ab3306},
  Journal = {Environmental Research Letters},
  Number = {8},
  Pages = {084042},
  URL = {http://dx.doi.org/10.1088/1748-9326/ab3306},
  Volume = {14},
  Year = {2019},
  date_added = {Wed Nov 9 08:35:23 2022},
}

@article{koester-2012-snakem-scalab,
  Title = {Snakemake-A Scalable Bioinformatics Workflow Engine},
  Abstract = {Summary: Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow. It is the first system to support the use of automatically inferred multiple named wildcards (or variables) in input and output filenames.Availability:http://snakemake.googlecode.com.Contact:johannes.koester@uni-due.de},
  Author = {Johannes K{\"o}ster and Sven Rahmann},
  DOI = {10.1093/bioinformatics/bts480},
  EPrint = {http://oup.prod.sis.lan/bioinformatics/article-pdf/28/19/2520/819790/bts480.pdf},
  ISSN = {1367-4803},
  Journal = {Bioinformatics},
  Month = {08},
  Number = {19},
  Pages = {2520-2522},
  Volume = {28},
  Year = {2012},
}

@article{thissen-2018-eureg,
  author =       {Mark Thissen and Maureen Lankhuizen and Frank van Oort and
                  Bart Los and Dario Diodato},
  title =        {Euregio: the Construction of a Global Io Database With
                  Regional Detail for Europe for 2000-2010},
  journal =      {SSRN Electronic Journal},
  year =         2018,
  doi =          {10.2139/ssrn.3285818},
  url =          {http://dx.doi.org/10.2139/ssrn.3285818},
  DATE_ADDED =   {Wed Jan 31 10:01:29 2024},
}

@article{koks-2016-multir-impac,
  Title = {A Multiregional Impact Assessment Model for Disaster Analysis},
  Author = {Elco E. Koks and Mark Thissen},
  DOI = {10.1080/09535314.2016.1232701},
  JournalTitle = {Economic Systems Research},
  Number = {4},
  Pages = {429-449},
  URL = {https://doi.org/10.1080/09535314.2016.1232701},
  Volume = {28},
  Year = {2016},
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}

@article{colon-2020-critic-analy,
  Title = {Criticality Analysis of a Country's Transport Network Via an Agent-Based Supply Chain Model},
  Author = {C{\'e}lian Colon and St{\'e}phane Hallegatte and Julie Rozenberg},
  DOI = {10.1038/s41893-020-00649-4},
  Journal = {Nature Sustainability},
  Number = {3},
  Pages = {209-215},
  URL = {http://dx.doi.org/10.1038/s41893-020-00649-4},
  Volume = {4},
  Year = {2020},
  date_added = {Fri Dec 8 11:06:46 2023},
}

@article{otto-2017-model-loss,
  Title = {Modeling Loss-Propagation in the Global Supply Network: the Dynamic Agent-Based Model Acclimate},
  Author = {C. Otto and S.N. Willner and L. Wenz and K. Frieler and A. Levermann},
  DOI = {10.1016/j.jedc.2017.08.001},
  JournalTitle = {Journal of Economic Dynamics and Control},
  Pages = {232--269},
  URL = {http://dx.doi.org/10.1016/j.jedc.2017.08.001},
  Volume = {83},
  Year = {2017},
  date_added = {Mon Apr 11 11:25:16 2022},
}

@article{shughrue-2020-global-spread,
  Title = {Global Spread of Local Cyclone Damages Through Urban Trade Networks},
  Author = {Chris Shughrue and BT Werner and Karen C. Seto},
  DOI = {10.1038/s41893-020-0523-8},
  JournalTitle = {Nature Sustainability},
  Number = {8},
  Pages = {606-613},
  URL = {http://dx.doi.org/10.1038/s41893-020-0523-8},
  Volume = {3},
  Year = {2020},
  date_added = {Wed Jun 15 12:00:32 2022},
}

@article{shughrue-2018-system-vulner,
  Title = {Systemic Vulnerabilities of the Global Urban-Industrial Network To Hazards},
  Author = {Chris Shughrue and Karen C. Seto},
  DOI = {10.1007/s10584-018-2293-0},
  JournalTitle = {Climatic Change},
  Number = {2},
  Pages = {173-187},
  URL = {http://dx.doi.org/10.1007/s10584-018-2293-0},
  Volume = {151},
  Year = {2018},
  date_added = {Wed Jun 15 11:59:20 2022},
}