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Multiregional Disaster Impact Models: Recent Advances and Comparison of Outcomes

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Advances in Spatial and Economic Modeling of Disaster Impacts

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

Abstract

This chapter provides an overview of several multiregional modelling approaches used for disaster impact analysis. The chapter specifically focuses on the multiregional supply-use model, the dynamic multiregional inoperability input-output model, the multiregional impact assessment model and the non-linear programming model. Whereas the first two approaches have been applied widely over the last years, the latter two are recently developed methods which aim to improve the estimation of a disruption in the economic system by, amongst others, allowing for a supply shock and spatial substitution effects. Our outcomes show significantly distinct results for the demand-driven multiregional supply-use model and the dynamic multiregional inoperability input-output model on the one hand, and for the non-linear programming model and the multiregional impact assessment model, on the other hand. Whereas for the former only negative impacts in all German regions and foreign countries are observed, the latter also shows positive impacts in several only indirectly impacted regions in addition to different negative impacts.

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Notes

  1. 1.

    For the sake of unnecessary repetition, this chapter will not provide a full comparison between IO and CGE models. For a more comprehensive comparison between the models and an overview in the field, please refer to, for instance, Okuyama and Santos (2014) and Koks et al. (2016).

  2. 2.

    Please refer to Moran and Wood (2014) for an overview of these datasets and how they relate to each other.

References

  • Anderson CW, Santos JR, Haimes YY (2007) A risk-based input–output methodology for measuring the effects of the august 2003 northeast blackout. Econ Syst Res 19(2):183–204

    Article  Google Scholar 

  • Andrijcic E, Horowitz B (2006) A macro-economic framework for evaluation of cyber security risks related to protection of intellectual property. Risk Anal 26(4):907–923

    Article  Google Scholar 

  • Arto I, Andreoni V, Rueda Cantuche JM (2015) Global impacts of the automotive supply chain disruption following the japanese earthquake of 2011. Econ Syst Res 27(3):306–323

    Article  Google Scholar 

  • Barker K, Santos JR (2010) Measuring the efficacy of inventory with a dynamic input–output model. Int J Prod Econ 126(1):130–143

    Article  Google Scholar 

  • Bierkandt R, Wenz L, Willner SN, Levermann A (2014) Acclimate—a model for economic damage propagation. part 1: basic formulation of damage transfer within a global supply network and damage conserving dynamics. Environ Syst Decis 34(4):507–524

    Article  Google Scholar 

  • Cavallo E, Galiani S, Noy I, Pantano J (2013) Catastrophic natural disasters and economic growth. Rev Econ Stat 95(5):1549–1561

    Article  Google Scholar 

  • Chenery HB, Clark PG, Pinna VC (1953) The structure and growth of the Italian economy. U. S. Mutual Security Agency, Special Mission to Italy for Economic Cooperation, Rome

    Google Scholar 

  • Christ CF (1955) A review of input-output analysis. In: Input-output analysis: an appraisal. Princeton University Press, Princeton, pp 137–182

    Google Scholar 

  • Crowther KG, Haimes YY (2010) Development of the multiregional inoperability input-output model (MRIIM) for spatial explicitness in preparedness of interdependent regions. Syst Eng 13(1):28–46

    Google Scholar 

  • Dell M, Jones BF, Olken BA (2014) What do we learn from the weather? The new climate–economy literature. J Econ Lit 52(3):740–798

    Article  Google Scholar 

  • Dietzenbacher E, Miller RE (2015) Reflections on the inoperability input–output model. Econ Syst Res 27(4):478–486

    Article  Google Scholar 

  • Eurostat (2008) Eurostat manual of supply, use and input-output tables. Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  • Ghosh A (1958) Input-output approach in an allocation system. Economica 25(4):58–64

    Article  Google Scholar 

  • Haimes YY, Jiang P (2001) Leontief-based model of risk in complex interconnected infrastructures. J Infrastruct Syst 7(1):1–12

    Article  Google Scholar 

  • Haimes YY, Horowitz BM, Lambert JH, Santos JR, Lian C, Crowther KG (2005) Inoperability input-output model for interdependent infrastructure sectors. I: Theory and methodology. J Infrastruct Syst 11(2):67–79

    Article  Google Scholar 

  • Hallegatte S (2008) An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina. Risk Anal 28(3):779–799. https://doi.org/10.1111/j.1539-6924.2008.01046.x

    Article  Google Scholar 

  • In den Baumen HS, Többen J, Lenzen M (2015) Labour forced impacts and production losses due to the 2013 flood in germany. J Hydrol 527(0):142–150. https://doi.org/10.1016/j.jhydrol.2015.04.030

    Article  Google Scholar 

  • Isard W (1951) Interregional and regional input-output analysis: a model of a space-economy. Rev Econ Stat 33(4):318–328

    Article  Google Scholar 

  • Jonkeren O, Giannopoulos G (2014) Analysing critical infrastructure failure with a resilience inoperability input–output model. Econ Syst Res 26(1):39–59

    Article  Google Scholar 

  • Klomp J, Valckx K (2014) Natural disasters and economic growth: a meta-analysis. Glob Environ Chang 26:183–195

    Article  Google Scholar 

  • Koks EE, Thissen M (2016) A multiregional impact assessment model for disaster analysis. Econ Syst Res 28(4):1–21

    Article  Google Scholar 

  • Koks EE, Carrera L, Jonkeren O, Aerts JCJH, Husby TG, Thissen M et al (2016) Regional disaster impact analysis: comparing input–output and computable general equilibrium models. Nat Hazards Earth Syst Sci 16(8):1911–1924

    Article  Google Scholar 

  • Kullback S (1959) Information and statistics. Wiley, New York

    Google Scholar 

  • Lazzaroni S, van Bergeijk PA (2014) Natural disasters’ impact, factors of resilience and development: a meta-analysis of the macroeconomic literature. Ecol Econ 107:333–346

    Article  Google Scholar 

  • Lenzen M, Rueda-Cantuche JM (2012) A note on the use of supply-use tables in impact analyses. SORT 36(2):139–152

    Google Scholar 

  • Leontief W, Strout A (1963) Multiregional input-output analysis. In: Structural interdependence and economic development. Springer, Heidelberg, pp 119–150

    Chapter  Google Scholar 

  • Lian C, Haimes YY (2006) Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model. Syst Eng 9(3):241–258

    Article  Google Scholar 

  • MacKenzie CA, Barker K, Grant FH (2012a) Evaluating the consequences of an inland waterway port closure with a dynamic multiregional interdependence model. IEEE Trans Syst Man Cybern Part A Syst Humans 42(2):359–370

    Article  Google Scholar 

  • MacKenzie CA, Santos JR, Barker K (2012b) Measuring changes in international production from a disruption: case study of the Japanese earthquake and tsunami. Int J Prod Econ 138(2):293–302. https://doi.org/10.1016/j.ijpe.2012.03.032

    Article  Google Scholar 

  • Miller RE (1969) Interregional feedbacks in input-output models: some experimental results. Econ Inq 7(1):41–50

    Article  Google Scholar 

  • Miller RE, Blair PD (2009) Input-output analysis: foundations and extensions. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Moran D, Wood R (2014) Convergence between the eora, wiod, exiobase, and openeu’s consumption-based carbon accounts. Econ Syst Res 26(3):245–261

    Article  Google Scholar 

  • Moses LN (1955) The stability of interregional trading patterns and input-output analysis. Am Econ Rev 45(5):803–826

    Google Scholar 

  • Okuyama Y (2004) Modeling spatial economic impacts of an earthquake: input-output approaches. Disaster Prev Manag 13(4):297–306

    Article  Google Scholar 

  • Okuyama Y (2015) How shaky was the regional economy after the 1995 kobe earthquake? A multiplicative decomposition analysis of disaster impact. Ann Reg Sci 55(2–3):289–312

    Article  Google Scholar 

  • Okuyama Y, Santos JR (2014) Disaster impact and input-output analysis. Econ Syst Res 26(1):1–12

    Article  Google Scholar 

  • Oosterhaven J (1981) Interregional input-output analysis and Dutch regional policy problems. Gower, Aldershot

    Google Scholar 

  • Oosterhaven J (1984) A family of square and rectangular interregional input-output tables and models. Reg Sci Urban Econ 14(4):565–582

    Article  Google Scholar 

  • Oosterhaven J (1988) On the plausibility of the supply-driven input-output model. J Reg Sci 28(2):203–217

    Article  Google Scholar 

  • Oosterhaven J (1996) Leontief versus Ghoshian price and quantity models. South Econ J 62(3):750–759

    Article  Google Scholar 

  • Oosterhaven J (2012) Adding supply-driven consumption makes the Ghosh model even more implausible. Econ Syst Res 24(1):101–111

    Article  Google Scholar 

  • Oosterhaven J (2017) On the limited usability of the inoperability IO model. Econ Syst Res 29(3):452–461

    Article  Google Scholar 

  • Oosterhaven J, Bouwmeester MC (2016) A new approach to modeling the impact of disruptive events. J Reg Sci 56(4):583–595

    Article  Google Scholar 

  • Oosterhaven J, Hewings GJ (2014) Interregional input–output models. In: Handbook of regional science. Springer, Berlin, pp 875–901

    Chapter  Google Scholar 

  • Oosterhaven J, Többen J (2017) Wider economic impacts of heavy flooding in Germany: a non-linear programming approach. Spat Econ Anal 12(4):404–428

    Article  Google Scholar 

  • Pant R, Barker K, Grant FH, Landers TL (2011) Interdependent impacts of inoperability at multi-modal transportation container terminals. Transport Res E-Log 47(5):722–737

    Article  Google Scholar 

  • Pant R, Barker K, Zobel CW (2014) Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors. Reliab Eng Syst Saf 125:92–102

    Article  Google Scholar 

  • Pant R, Barker K, Landers TL (2015) Dynamic impacts of commodity flow disruptions in inland waterway networks. Comput Ind Eng 89:137–149

    Article  Google Scholar 

  • Polenske KR (1970) An empirical test of interregional input-output models: estimation of 1963 Japanese production. Am Econ Rev 60:76–82

    Google Scholar 

  • Rose A, Wei D (2013) Estimating the economic consequences of a port shutdown: the special role of resilience. Econ Syst Res 25(2):212–232

    Article  Google Scholar 

  • Rose A, Liao S-Y, Bonneau A (2011) Regional economic impacts of a Verdugo scenario earthquake disruption of Los Angeles water supplies: a computable general equilibrium analysis. Earthquake Spectra 27(3):881–906

    Article  Google Scholar 

  • Santos JR (2006) Inoperability input-output modeling of disruptions to interdependent economic systems. Syst Eng 9(1):20–34

    Article  Google Scholar 

  • Santos JR, Haimes YY (2004) Modeling the demand reduction input-output (I-O) inoperability due to terrorism of interconnected infrastructures. Risk Anal 24(6):1437–1451

    Article  Google Scholar 

  • Santos JR, May L, Haimar AE (2013) Risk-based input-output analysis of influenza epidemic consequences on interdependent workforce sectors. Risk Anal 33(9):1620–1635

    Article  Google Scholar 

  • Stevens BH, Trainer GA (1980) Error generation in regional input-output analysis and its implications for nonsurvey models. In: Economic impact analysis: methodology and applications. Springer, Berlin, pp 68–84

    Chapter  Google Scholar 

  • Theil H (1967) Economics and information theory. North-Holland/Elsevier, Amsterdam

    Google Scholar 

  • Többen J (2017) Effects of energy and climate policy in Germany: a multiregional analysis. PhD thesis, Faculty of Economics and Business, University of Groningen

    Google Scholar 

  • Wenz L, Willner SN, Bierkandt R, Levermann A (2014) Acclimate—a model for economic damage propagation. part ii: a dynamic formulation of the backward effects of disaster-induced production failures in the global supply network. Environ Syst Decis 34(4):525–539

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Environmental Change Institute, University of Oxford, Oxford, UK

    Elco Koks & Raghav Pant

  2. Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Elco Koks

  3. PBL Netherlands Environmental Assessment Agency, The Hague, The Netherlands

    Trond Husby

  4. Norwegian University of Science and Technology, Trondheim, Norway

    Johannes Többen

  5. Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands

    Jan Oosterhaven

Authors
  1. Elco Koks
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  2. Raghav Pant
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  3. Trond Husby
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  4. Johannes Többen
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  5. Jan Oosterhaven
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Corresponding author

Correspondence to Elco Koks .

Editor information

Editors and Affiliations

  1. University of Kitakyushu, Kitakyushu, Japan

    Yasuhide Okuyama

  2. Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA

    Adam Rose

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Koks, E., Pant, R., Husby, T., Többen, J., Oosterhaven, J. (2019). Multiregional Disaster Impact Models: Recent Advances and Comparison of Outcomes. In: Okuyama, Y., Rose, A. (eds) Advances in Spatial and Economic Modeling of Disaster Impacts. Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-030-16237-5_8

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