Using virtual laboratories for disaster analysis – a case study of Taiwan

References

• Arto, I., V. Andreoni and J.M. Rueda Cantuche (2015) Global Impacts of the Automotive Supply Chain Disruption Following the Japanese Earthquake of 2011. Economic Systems Research, 27, 306–323. doi: 10.1080/09535314.2015.1034657
   Web of Science ®Google Scholar
• Blouin, D. (2017) 2016 Top Markets Report Semiconductors and Related Equipment. Washington DC, U.S. Department of Commerce.
   Google Scholar
• Carrera, L., G. Standardi, F. Bosello and J. Mysiak (2015) Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling. Environmental Modelling & Software, 63, 109–122. doi: 10.1016/j.envsoft.2014.09.016
   Web of Science ®Google Scholar
• Central Weather Bureau (2017a) FAQ for Earthquake. Taipei, Central Weather Bureau of Taiwan, http://www.cwb.gov.tw/V7e/knowledge/encyclopedia/eq000.htm
   Google Scholar
• Central Weather Bureau (2017b) FAQ for Typhoon. Taipei, Central Weather Bureau of Taiwan, http://www.cwb.gov.tw/V7e/knowledge/encyclopedia/ty014.htm
   Google Scholar
• Chang, J.-C. (1996) Natural Hazards in Taiwan. GeoJournal, 38, 251–257. doi: 10.1007/BF00204716
   Google Scholar
• Chang, S.E. (2000) Economic Considerations in Preliminary Report from MCEER-NCREE Workshop on the 921 Taiwan Earthquake. New York, The Multidisciplinary Center for Earthquake Engineering Research (MCEER), State University of New York.
   Google Scholar
• Chuang, S. (1999) “Tourism drops after quake.” Taipei Times. http://www.taipeitimes.com/News/twbiz/archives/1999/10/13/0000006347
   Google Scholar
• Cochrane, H.C. (1974) Predicting the Economic Impact of Earthquakes. In: H.C. Cochrane, M.J. Bowden and R.W. Kates (eds.) Social Science Perspectives on the Coming San Francisco Earthquake. Natural Hazards Research Paper, 25. Boulder, Colorado, University of Colorado, 1–42.
   Google Scholar
• Dietzenbacher, E. and R.E. Miller (2015) Reflections on the Inoperability Input-Output Model. Economic Systems Research, 27, 478–486. doi: 10.1080/09535314.2015.1052375
   Web of Science ®Google Scholar
• Donaghy, K.P., N. Balta-Ozkan and G.J. Hewings (2007) Modeling Unexpected Events in Temporally Disaggregated Econometric Input–Output Models of Regional Economies. Economic Systems Research, 19, 125–145. doi: 10.1080/09535310701328484
   Google Scholar
• Dong, W., G. Morrow, A. Tanaka, H. Kagawa, L.-C. Chou, Y.-B. Tsai, W. Hsu, L. Johnson, C.V. Anne, S. Segawa, C.-H. Yeh, K.-L. Wen and W.-l. Chiang (2000) Event Report Chi-Chi, Taiwan Earthquake. Risk Management Solutions, Inc.
   Google Scholar
• Faturay, F., M. Berglund, A. Geschke and M. Lenzen (2019a) Demand-Driven GHG Emissions of Swedish Regions: 2008–2016. In Preparation.
   Google Scholar
• Faturay, F., M. Lenzen and K. Nugraha (2017) A New Sub-National Multi-Region Input–Output Database for Indonesia. Economic Systems Research, 29, 234–251. doi: 10.1080/09535314.2017.1304361
   Web of Science ®Google Scholar
• Faturay, F., G. Vunnava, M. Lenzen and S. Singh (2019b) Multiregional Economic Impacts of Renewable Energy Adoption in the United States Using Industrial Ecology Virtual Laboratory. In Preparation.
   Google Scholar
• Geschke, A., R. Wood, K. Kanemoto, M. Lenzen and D. Moran (2014) Investigating Alternative Approaches to Harmonise MRIO Data. Economic Systems Research, 26, 354–385. doi: 10.1080/09535314.2014.937069
   Web of Science ®Google Scholar
• Ghosh, A. (1958) Input-Output Approach in an Allocation System. Economica, 25, 58–64. doi: 10.2307/2550694
   Web of Science ®Google Scholar
• Greenberg, M., C. Haas, A. Cox, K. Lowrie, K. McComas and W. North (2012) Ten Most Important Accomplishments in Risk Analysis, 1980–2010. Risk Analysis: An International Journal, 32, 771–781. doi: 10.1111/j.1539-6924.2012.01817.x
   PubMed Web of Science ®Google Scholar
• Haimes, Y.Y., B.M. Horowitz, J.H. Lambert, J.R. Santos, C. Lian and K.G. Crowther (2005) Inoperability Input–Output Model for Interdependent Infrastructure Sectors. I: Theory and Methodology. Journal of Infrastructure Systems, 11, 67–79. doi: 10.1061/(ASCE)1076-0342(2005)11:2(67)
   Web of Science ®Google Scholar
• Hallegatte, S. (2008) An Adaptive Regional Input-Output Model and Its Application to the Assessment of the Economic Cost of Katrina. Risk Analysis, 28, 779–799. doi: 10.1111/j.1539-6924.2008.01046.x
   PubMed Web of Science ®Google Scholar
• Hallegatte, S. and M. Ghil (2008) Natural Disasters Impacting a Macroeconomic Model with Endogenous Dynamics. Ecological Economics, 68, 582–592. doi: 10.1016/j.ecolecon.2008.05.022
   Web of Science ®Google Scholar
• Hsu, W.-K., W.-L. Chiang and C.-W. Chen (2013) Earthquake Risk Assessment and Optimal Risk Management Strategies for Hi-Tech Fabs in Taiwan. Natural Hazards, 65, 2063–2076. doi: 10.1007/s11069-012-0462-4
   Web of Science ®Google Scholar
• Hsu-min, Y., C. Po-sheng, F. Huang and E. Kao (2016) “Agricultural Losses from Typhoon Megi at Least NT$1 Billion (Update).” Focus Taiwan News Channel. http://focustaiwan.tw/news/aeco/201609280022.aspx
   Google Scholar
• Huan, T.-C., J. Beaman and L. Shelby (2004) No-Escape Natural Disaster: Mitigating Impacts on Tourism. Annals of Tourism Research, 31, 255–273. doi: 10.1016/j.annals.2003.10.003
   Web of Science ®Google Scholar
• Kellenberg, D.K. and A.M. Mobarak (2008) Does Rising Income Increase or Decrease Damage Risk From Natural Disasters? Journal of Urban Economics, 63, 788–802. doi: 10.1016/j.jue.2007.05.003
   Web of Science ®Google Scholar
• Koks, E.E. and M. Thissen (2016) A Multiregional Impact Assessment Model for Disaster Analysis. Economic Systems Research, 28, 429–449. doi: 10.1080/09535314.2016.1232701
   Web of Science ®Google Scholar
• Lenzen, M., A. Geschke, A. Malik, J. Fry, J. Lane, T. Wiedmann, S. Kenway, K. Hoang and A. Cadogan-Cowper (2017) New Multi-Regional Input–Output Databases for Australia – Enabling Timely and Flexible Regional Analysis. Economic Systems Research, 29, 275–295. doi: 10.1080/09535314.2017.1315331
   Web of Science ®Google Scholar
• Lenzen, M., A. Geschke, T. Wiedmann, J. Lane, N. Anderson, T. Baynes, J. Boland, P. Daniels, C. Dey, J. Fry, M. Hadjikakou, S. Kenway, A. Malik, D. Moran, J. Murray, S. Nettleton, L. Poruschi, C. Reynolds, H. Rowley, J. Ugon, D. Webb and J. West (2014) Compiling and Using Input–Output Frameworks Through Collaborative Virtual Laboratories. Science of The Total Environment, 485–486, 241–251. doi: 10.1016/j.scitotenv.2014.03.062
   PubMed Web of Science ®Google Scholar
• Lenzen, M., A. Malik, S. Kenway, P. Daniels, K.L. Lam and A. Geschke (2019) Economic Damage and Spillovers from a Tropical Cyclone. Natural Hazards and Earth System Sciences, 19, 137–151. doi: 10.5194/nhess-19-137-2019
   Web of Science ®Google Scholar
• Lin, O. (1999) “As 921 Quake Losses Rise, Consumer Spending Urged.” Taipei Times. http://www.taipeitimes.com/News/front/archives/1999/10/28/0000008437
   Google Scholar
• Lin, H.C., Y.L. Kuo, D. Shaw, M.C. Chang and T.M. Kao (2012) Regional Economic Impact Analysis of Earthquakes in Northern Taiwan and Its Implications for Disaster Reduction Policies. Natural Hazards, 61, 603–620. doi: 10.1007/s11069-011-0049-5
   Web of Science ®Google Scholar
• Liu, T.-M. (2014) Analysis of the Economic Impact of Meteorological Disasters on Tourism: The Case of Typhoon Morakot's Impact on the Maolin National Scenic Area in Taiwan. Tourism Economics, 20, 143–156.
   Google Scholar
• Low, S. (1999) “Farmers’ Debts Raise Thorny Issue for Government.” Taipei Times. http://www.taipeitimes.com/News/front/archives/1999/10/08/0000005572
   Google Scholar
• MacKenzie, C.A., J.R. Santos and K. Barker (2012) Measuring Changes in International Production from a Disruption: Case Study of the Japanese Earthquake and Tsunami. International Journal of Production Economics, 138, 293–302. doi: 10.1016/j.ijpe.2012.03.032
   Web of Science ®Google Scholar
• Miller, R.E. and P.D. Blair (2009) Input-Output Analysis: Foundations and Extensions. New York, Cambridge University Press.
   Google Scholar
• National Statistics (2017a) Agriculture, Forestry, Fishery, and Animal Husbandry Census. Taipei, National Statistics of the Directorate-General of Budget, Accounting and Statistics (DGBAS) of Executive Yuan. https://eng.stat.gov.tw/lp.asp?CtNode = 1634&CtUnit = 784&BaseDSD = 7&mp = 5
   Google Scholar
• National Statistics (2017b) Benchmark IO Tables Commodity-by-Commodity (CxC). Taipei, National Statistics of the Directorate-General of Budget, Accounting and Statistics (DGBAS) of Executive Yuan. https://eng.stat.gov.tw/ct.asp?xItem = 36704&ctNode = 1650
   Google Scholar
• National Statistics (2017c) Government and Education Employment Data. Taipei, National Statistics of the Directorate-General of Budget, Accounting and Statistics (DGBAS) of Executive Yuan.
   Google Scholar
• National Statistics (2017d) Industry and Service Census. Taipei, National Statistics of the Directorate-General of Budget, Accounting and Statistics (DGBAS) of Executive Yuan. https://eng.stat.gov.tw/lp.asp?ctNode = 1624&CtUnit = 774&BaseDSD = 7&mp = 5
   Google Scholar
• National Statistics (2017e) National Accounts. Taipei, National Statistics of the Directorate-General of Budget, Accounting and Statistics (DGBAS) of Executive Yuan. https://eng.stat.gov.tw/ct.asp?xItem = 37408&CtNode = 5347&mp = 5.
   Google Scholar
• Okuyama, Y. (2007) Economic Modeling for Disaster Impact Analysis: Past, Present, and Future. Economic Systems Research, 19, 115–124. doi: 10.1080/09535310701328435
   Google Scholar
• Okuyama, Y. and S. Sahin (2009) Impact Estimation of Disasters: A Global Aggregate for 1960 to 2007. Washington, DC, The World Bank.
   Google Scholar
• Okuyama, Y. and J.R. Santos (2014) Disaster Impact and Input–Output Analysis. Economic Systems Research, 26, 1–12. doi: 10.1080/09535314.2013.871505
   Web of Science ®Google Scholar
• Oosterhaven, J. (2017) On the Limited Usability of the Inoperability IO Model. Economic Systems Research, 29, 452–461. doi: 10.1080/09535314.2017.1301395
   Web of Science ®Google Scholar
• Oosterhaven, J. and M.C. Bouwmeester (2016) A New Approach to Modeling the Impact of Disruptive Events. Journal of Regional Science, 56, 583–595. doi: 10.1111/jors.12262
   Web of Science ®Google Scholar
• Oosterhaven, J. and J. Többen (2017) Wider Economic Impacts of Heavy Flooding in Germany: A Non-Linear Programming Approach. Spatial Economic Analysis, 12, 404–428. doi: 10.1080/17421772.2017.1300680
   Web of Science ®Google Scholar
• Santos, J.R. and Y.Y. Haimes (2004) Modeling the Demand Reduction Input-Output (I-O) Inoperability due to Terrorism of Interconnected Infrastructures. Risk Analysis, 24, 1437–1451. doi: 10.1111/j.0272-4332.2004.00540.x
   PubMed Web of Science ®Google Scholar
• Sargento, A.L.M., P.N. Ramos and G.J.D. Hewings (2012) Inter-Regional Trade Flow Estimation Through Non-Survey Models: An Empirical Assessment. Economic Systems Research, 24, 173–193. doi: 10.1080/09535314.2011.574609
   Web of Science ®Google Scholar
• Schulte in den Bäumen, H., D. Moran, M. Lenzen, I. Cairns and A. Steenge (2014) How Severe Space Weather can Disrupt Global Supply Chains. Natural Hazards and Earth System Science, 14, 2749–2759. doi: 10.5194/nhess-14-2749-2014
   Web of Science ®Google Scholar
• Schulte in den Bäumen, H., J. Többen and M. Lenzen (2015) Labour Forced Impacts and Production Losses due to the 2013 Flood in Germany. Journal of Hydrology, 527, 142–150. doi: 10.1016/j.jhydrol.2015.04.030
   Web of Science ®Google Scholar
• Shu-Fen, W. and K. Liu (2015) “Earthquake Paralyzes High-Speed Rail in Southern Taiwan.” Focus Taiwan News Channel. http://focustaiwan.tw/news/asoc/201602060009.aspx
   Google Scholar
• Steenge, A.E. and M. Bočkarjova (2007) Thinking About Imbalances in Post-Catastrophe Economies: An Input–Output Based Proposition. Economic Systems Research, 19, 205–223. doi: 10.1080/09535310701330308
   Google Scholar
• The Guardian (2018) “Two People Confirmed Dead in 6.4-Magnitude Taiwan Earthquake.” The Guardian. https://www.theguardian.com/world/2018/feb/06/taiwan-earthquake-breaks-up-roads-and-topples-buildings-hualien
   Google Scholar
• Többen, J. and T.H. Kronenberg (2015) Construction of Multiregional Input–Output Tables Using the CHARM Method. Economic Systems Research, 27, 487–507. doi: 10.1080/09535314.2015.1091765
   Web of Science ®Google Scholar
• Tsai, C.-H. and C.-W. Chen (2010) An Earthquake Disaster Management Mechanism Based on Risk Assessment Information for the Tourism Industry-a Case Study From the Island of Taiwan. Tourism Management, 31, 470–481. doi: 10.1016/j.tourman.2009.05.008
   Web of Science ®Google Scholar
• Tsai, J.-S., L.-L. Chung and K.G.-Y. Liu (2013) Damage and Recovery from the 1999 Chichi Earthquake in Taiwan. In: F. Wang, M. Miyajima, T. Li, W. Shan and T.F. Fathani (eds.), Progress of Geo-Disaster Mitigation Technology in Asia. Berlin, Springer Berlin Heidelberg, 171–186.
   Google Scholar
• Tsai, J.-S., C.P. Hsiao and M. Bruneau (2000) Overview of Building Damages in 921 Chi-Chi Earthquake. Earthquake Engineering and Engineering Seismology, 2, 93–108.
   Google Scholar
• Tsai, H.-T., C.-J. Tseng, S.-Y. Tzeng, T.-J. Wu and J.-d. Day (2012) The Impacts of Natural Hazards on Taiwan’s Tourism Industry. Natural Hazards, 62, 83–91. doi: 10.1007/s11069-011-0034-z
   Web of Science ®Google Scholar
• Tukker, A. and E. Dietzenbacher (2013) Global Multiregional Input–Output Frameworks: An Introduction and Outlook. Economic Systems Research, 25, 1–19. doi: 10.1080/09535314.2012.761179
   Web of Science ®Google Scholar
• UNESCAP (2018) Asia-Pacific Disaster Report 2017: Disaster Resilience for Sustainable Development. ST/ESCAP/2796, Bangkok, United Nations Economic and Social Commission for Asia and the Pacific.
   Google Scholar
• Vervaeck, A. and J. Daniell (2016) “Deadly Earthquake Below Southern Taiwan (Tainan) – 114 Dead, 1 Missing and 548 Injured (Final Count in 17-Storey Building).” SOS Earthquakes VZW. https://earthquake-report.com/2016/02/05/very-strong-earthquake-taiwan-on-february-5-2016/
   Google Scholar
• Wakiyama, T., M. Lenzen, F. Faturay, A. Geschke, A. Malik, J. Fry and K. Nansai (2019) Responsibility for Food Loss From a Regional Supply Chain Perspective. Resources, Conservation and Recycling, 146, 373–383. doi: 10.1016/j.resconrec.2019.04.003
   Web of Science ®Google Scholar
• Wang, Y. (2017) An Industrial Ecology Virtual Framework for Policy Making in China. Economic Systems Research, 29, 252–274. doi: 10.1080/09535314.2017.1313199
   Web of Science ®Google Scholar
• Wang, Y., A. Geschke and M. Lenzen (2015) Constructing a Time Series of Nested Multiregion Input–Output Tables. International Regional Science Review, 38, 1–24.
   Google Scholar
• West, C.T. and D.G. Lenze (1994) Modeling the Regional Impact of Natural Disaster and Recovery: A General Framework and an Application to Hurricane Andrew. International Regional Science Review, 17, 121–150. doi: 10.1177/016001769401700201
   Web of Science ®Google Scholar
• Ya-Chen, T. and E. Hsu (2015) “Science Park in Tainan Mostly Unscathed After Quake.” Focus Taiwan News Channel. http://focustaiwan.tw/news/asoc/201602060009.aspx
   Google Scholar
• Yamano, N., Y. Kajitani and Y. Shumuta (2007) Modeling the Regional Economic Loss of Natural Disasters: the Search for Economic Hotspots. Economic Systems Research, 19, 163–181. doi: 10.1080/09535310701330191
   Google Scholar
• Yang, H.-H., Su-Ying Chen, S.-Y. Chien and W.-S. Li (2014) Forensic Investigation of Typhoon Morakot Disaster: Nansalu and Daniao Village Case Study. Taipei, National Science & Technology Center for Disaster Reduction.
   Google Scholar