Supply Constraint from Earthquakes in Japan in Input-Output Analysis

Yagi, Michiyuki and Kagawa, Shigemi and Managi, Shunsuke and Fujii, Hidemichi and Guan, Dabo (2020): Supply Constraint from Earthquakes in Japan in Input-Output Analysis. Forthcoming in: Risk Analysis

Abstract

Disasters often cause exogenous flow damage (i.e., the [hypothetical] difference in economic scale with and without a disaster in a certain period) to production (“supply constraint”). However, input-output (IO) analysis (IOA) cannot usually consider it, because the Leontief quantity model (LQM) assumes that production is endogenous; the Ghosh quantity model (GQM) is considered implausible; and the Leontief price model (LPM) and the Ghosh price model (GPM) assume that quantity is fixed. This study proposes to consider a supply constraint in the LPM, introducing the price elasticity of demand. This study uses the loss of social surplus (SS) as a damage estimation because production (sales) is less informative as a damage index than profit (margin); that is, production can be any amount if without considering profit, and it does not tell exactly how much profit is lost for each supplier (upstream sector) and buyer (downstream sector). As a model application, this study examines Japan’s largest five earthquakes from 1995 to 2017 and the Great East Japan Earthquake (GEJE) in March 2011. The worst earthquake at the peak tends to increase price by 10-20% and decrease SS by 20-30%, when compared with the initial month’s prices/production. The worst damage tends to last eight months at most, accumulating 0.5-month-production damage (i.e., the sum of [hypothetical] differences in SS with and without an earthquake [for eight months] is 50% of the initial month production). Meanwhile, the GEJE in the five prefectures had cumulatively, a 25-month-production damage until the temporal recovery at the 37th month.

• Item Type: MPRA Paper
• Language: English
• Keywords: Earthquakes in Japan; input-output analysis; supply constraint
• Subjects: D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D57 - Input-Output Tables and Analysis; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming

References

Brown, J. J. (2015). Supply Chain Risk Management – The Complexities of Managing Risks in Complex Global Supply Chain. Thomson Reuters GRC01326/6-15. Retrieved from https://risk.thomsonreuters.com/content/dam/openweb/documents/pdf/risk/white-paper/supply-chain-risk-management-complexities-managing-risks-complex-global-supply-chains-white-paper.pdf (accessed Feb. 2018).

Cabinet Office, Government of Japan. (2018). National Accounts Calculation (GDP statistics) [Japanese]. Retrieved from http://www.esri.cao.go.jp/jp/sna/menu.html (accessed Aug 2018).

Chen, X. (1990). Input-Occupancy-Output Analysis and its Application in China, in: Chatterji, M., & Kuenne, R.E. (Eds.), Dynamics and Conflict in Regional Structural Change. Palgrave Macmillan UK, London, pp. 267–278. doi:10.1007/978-1-349-10636-3_16

Chen, X., Guo, J., & Yang, C. (2005). Extending the input–output model with assets. Economic Systems Research, 17(2), 211–225. doi:10.1080/09535310500115074

Crawford-Brown, D., Syddall, M., Guan, D., Hall, J., Li, J., Jenkins, K., & Beaven, R. (2013). Vulnerability of London’s Economy to Climate Change: Sensitivity to Production Loss. Journal of Environmental Protection, 04(06), 548–563. doi: 10.4236/jep.2013.46064

Davar, E. (1989). Input–Output and General Equilibrium. Economic Systems Research, 1(3), 331–344. doi: 10.1080/09535318900000022

Dietzenbacher, E. (1997). In Vindication of the Ghosh Model: A Reinterpretation as a Price Model. Journal of Regional Science, 37(4), 629–651. doi: 10.1111/0022-4146.00073

Galbusera, L., & Giannopoulos, G. (2018). On input-output economic models in disaster impact assessment. International Journal of Disaster Risk Reduction, 30(May), 186–198. doi: 10.1016/j.ijdrr.2018.04.030

Ghosh, A. (1958). Input-Output Approach in an Allocation System. Economica, 25(97), 58–64. doi: 10.2307/2550694

Gruver, G. W. (1989). On the plausibility of the supply-driven input-output model: A theoretical basis for input-coefficient change. Journal of Regional Science, 29(3), 441–450. doi: 10.1111/j.1467-9787.1989.tb01389.x

Feng, K., Chapagain, A., Suh, S., Pfister, S., & Hubacek, K. (2011). Comparison of Bottom-Up and Top-Down Approaches to Calculating the Water Footprints of Nations. Economic Systems Research, 23(4), 371–385. doi: 10.1080/09535314.2011.638276

Haimes, Y. Y., & Jiang, P. (2001). Leontief-Based Model of Risk in Complex Interconnected Infrastructures. Journal of Infrastructure Systems, 7(1), 1–12. doi: 10.1061/(ASCE)1076-0342(2001)7:1(1)

Hallegatte, S. (2008). An Adaptive Regional Input-Output Model and its Application to the Assessment of the Economic Cost of Katrina. Risk Analysis, 28(3), 779–799. doi: 10.1111/j.1539-6924.2008.01046.x

Hasegawa, R., Kagawa, S., & Tsukui, M. (2015). Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan. Journal of Economic Structures, 4(5), 1–20. doi: 10.1186/s40008-015-0015-6

Hayashi, T. (2012). Japan’s Post-Disaster Economic Reconstruction: From Kobe to Tohoku. Asian Economic Journal, 26(3), 189–210. doi: 10.1111/j.1467-8381.2012.02082.x

Hayes, G. P., Myers, E. K., Dewey, J. W., Briggs, R. W., Earle, P. S., Benz, H. M., Smoczyk, G. M., Flamme, H. E., Barnhart, W. D., Gold, R. D., & Furlong, K.P. (2017). Tectonic summaries of magnitude 7 and greater earthquakes from 2000 to 2015: U.S. Geological Survey Open-File Report 2016–1192, 1–148. doi:10.3133/ofr20161192

Hoekstra, A. Y., & Wiedmann, T. O. (2014). Humanity’s unsustainable environmental footprint. Science, 344(6188), 1114–1117. doi: 10.1126/science.1248365

Hyogo prefecture. (2017). Hyogo prefecture statistics in 1995: Chapters 6 to 10 [Japanese]. Retrieved from https://web.pref.hyogo.lg.jp/kk11/ac08_1_000000101.html (accessed Nov 2018).

Investigative Commission for Nankai Trough Earthquake Model. (2012). Distributions of Seismic Intensity and Tsunami Height from the Nankai Trough Earthquake: The First Phase Report. [Japanese]. Retrieved from http://www.bousai.go.jp/jishin/nankai/model/pdf/1st_report.pdf (accessed Feb. 2018).

Japan Meteorological Agency. (2018). Past destructive earthquakes: major destructive earthquakes occurred near Japan (since 1996) and past earthquake disasters (until 1995) [Japanese]. Retrieved from http://www.data.jma.go.jp/svd/eqev/data/higai/ (accessed Nov. 2018).

Kanemoto, K., Moran, D., & Hertwich, E. G. (2016). Mapping the Carbon Footprint of Nations. Environmental Science & Technology, 50(19), 10512–10517. doi: 10.1021/acs.est.6b03227

Kim, T. J., Ham, H., & Boyce, D. E. (2002). Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model. Papers in Regional Science, 81(2), 223–246. doi: 10.1007/s101100100101

Koks, E. E., Carrera, L., Jonkeren, O., Aerts, J. C. J. H., Husby, T. G., Thissen, M., Standardi, G., & Mysiak, J. (2016). Regional disaster impact analysis: comparing input–output and computable general equilibrium models. Natural Hazards and Earth System Sciences, 16(8), 1911–1924. doi: 10.5194/nhess-16-1911-2016

Kratena, K., Streicher, G., Temurshoev, U., Amores, A.F., Arto, I., Mongelli, I., Rueda-Cantuche, J.M., & Andreoni, V. (2013). FIDELIO 1: Fully Interregional Dynamic Econometric Long-term Input-Output Model for the EU27. JRC Scientific and Policy Reports, JRC 81864, Institute for Prospective Technology Studies. doi: 10.2791/17619

Kratena, K., Streicher, G., Salotti S., Sommer, M., & Valderas Jaramillo, J. (2017). FIDELIO 2: Overview and Theoretical Foundations of the Second Version of the Fully Interregional Dynamic Econometric Long-term Input-Output Model for the EU27. JRC Scientific and Policy Reports, JRC 105900, Institute for Prospective Technology Studies. doi: 10.2760/313390

Kratena, K., & Streicher, G. (2017). Fiscal Policy Multipliers and Spillovers in a Multi-Regional Macroeconomic Input-Output Model, Working Paper 17-001, Centre of Economic Scenario Analysis and Research. Retrieved from https://www.wifo.ac.at/wwa/pubid/60576 (accessed Mar. 2020).

Leontief, W. W. (1936). Quantitative Input and Output Relations in the Economic Systems of the United States. The Review of Economics and Statistics, 18(3), 105. doi: 10.2307/1927837

Li, J., Crawford-Brown, D., Syddall, M., & Guan, D. (2013). Modeling Imbalanced Economic Recovery Following a Natural Disaster Using Input-Output Analysis. Risk Analysis, 33(10), 1908–1923. doi: 10.1111/risa.12040

Managi, S., & Guan, D. (2017). Multiple disasters management: Lessons from the Fukushima triple events. Economic Analysis and Policy, 53, 114–122. doi: 10.1016/j.eap.2016.12.002

Ministry of Economy, Trade, and Industry, Japan. (2018). Regional indices of industrial production (IIP). Retrieved from http://www.meti.go.jp/statistics/tyo/iip/chiiki/index.html (accessed Aug 2018).

Miller, R. E., & Blair, P. D. (2009). Input-Output Analysis: Foundations and Extensions. Cambridge, UK: Cambridge University Press.

Mital, M., Del Giudice, M., & Papa, A. (2018). Comparing supply chain risks for multiple product categories with cognitive mapping and Analytic Hierarchy Process. Technological Forecasting and Social Change, 131(May), 159–170. doi: 10.1016/j.techfore.2017.05.036

Okuyama, Y. (2007). Economic Modeling for Disaster Impact Analysis: Past, Present, and Future. Economic Systems Research, 19(2), 115–124. doi: 10.1080/09535310701328435

Okuyama, Y., Hewings, G.J.D., & Sonis, M., (2004). Measuring Economic Impacts of Disasters: Interregional Input-Output Analysis Using Sequential Interindustry Model, in: Okuyama, Y., Chang, S.E. (Eds.), Advances in Spatial Science. Springer Berlin Heidelberg, Berlin, Heidelberg, 77–101. doi:10.1007/978-3-540-24787-6_5

Oosterhaven, J. (1988). On the Plausibility of the Supply‐Driven Input‐Output Model. Journal of Regional Science, 28(2), 203–217. doi: 10.1111/j.1467-9787.1988.tb01208.x

Oosterhaven, J. (1989). The supply-driven input-output model: A new interpretation but still implausible. Journal of Regional Science, 29(3), 459–465. doi: 10.1111/j.1467-9787.1989.tb01391.x

Oosterhaven, J. (1996). Leontief versus Ghoshian Price and Quantity Models. Southern Economic Journal, 62(3), 750. doi: 10.2307/1060892

Oosterhaven, J. (2012). Adding Supply-Driven Consumption Makes the Ghosh Model Even More Implausible. Economic Systems Research, 24(1), 101–111. doi: 10.1080/09535314.2011.635137

Oosterhaven, J. (2017). On the limited usability of the inoperability IO model. Economic Systems Research, 29(3), 452–461. doi: 10.1080/09535314.2017.1301395

Oosterhaven, J., & Hewings, G. J. D. (2014). Interregional Input–Output Models. In Handbook of Regional Science (pp. 875–901). Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-23430-9_43

Park, J. Y. (2007). The Supply-Driven Input-Output Model: A Reinterpretation and Extension. Paper presented at the Western Regional Science Association 46th Annual Meeting, Newport Beach, CA, USA. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.1953 (accessed Jul. 2019).

Park, J. Y. (2009). Application of a Price-Sensitive Supply-Side Input-Output Model to an Examination of the Economic Impacts: The Hurricane Katrina and Rita Disruptions of the U.S. Oil-Industry. Paper presented at 2009 Upstate New York of Society Chapter for Risk Analysis Symposium. http://create.usc.edu/research/publications/413 (accessed Mar. 2020).

Research Institute of Economy, Trade and Industry, Japan. (2019). Japan Industrial Productivity Database 2018 (JIP Database 2018). Retrieved from https://www.rieti.go.jp/en/database/JIP2018/index.html (accessed Jul. 2019).

Romanoff, E., (1984). Interindustry analysis for regional growth and development: The dynamics of manpower issues. Socio-Economic Planning Sciences, 18(5), 353–363. doi:10.1016/0038-0121(84)90043-0

Rose, A., & Allison, T. (1989). On the plausibility of the supply-driven input-output model: Empirical evidence on joint stability. Journal of Regional Science, 29(3), 451–458. doi: 10.1111/j.1467-9787.1989.tb01390.x

Santos, J. R. (2006). Inoperability input-output modeling of disruptions to interdependent economic systems. Systems Engineering, 9(1), 20–34. doi: 10.1002/sys.20040

Savits, E. (2012). Managing the Risks of a Globalized Supply Chain. Forbes. Retrieved from https://www.forbes.com/sites/ciocentral/2012/10/04/managing-the-risks-of-a-globalized-supply-chain/#30d958dd39d8 (accessed Feb. 2018).

Shimoda, M., & Fujikawa, K. (2012). Input Output Analysis Model and Supply Constraint by the Great East Japan Earthquake. Input-Output Analysis, 20(2), 133–146 [Japanese]. doi: 10.11107/papaios.20.133

Sohn, J., Hewings, G.J.D., Kim, T.J., Lee, J.S., & Jang, S.-G. (2004). Analysis of Economic Impacts of an Earthquake on Transportation Network, in: Okuyama, Y., & Chang, S.E. (Eds.), Advances in Spatial Science. Springer Berlin Heidelberg, Berlin, Heidelberg, 233–256. doi:10.1007/978-3-540-24787-6_12

Statistics division of the Niigata prefecture. (2018). Indices of industrial production (IIP) [Japanese]. Retrieved from http://www.pref.niigata.lg.jp/tokei/1279580485252.html (accessed Nov 2018).

Steenge, A. E., & Bočkarjova, M. (2007). Thinking about Imbalances in Post-catastrophe Economies: An Input–Output based Proposition. Economic Systems Research, 19(2), 205–223. doi: 10.1080/09535310701330308

Toyoda, T., & Kouchi, A. (1997). Estimation of Economic Damages in the Industrial Sector by the Great Hanshin-Awaji Earthquake. the Kokumin-keizai Zasshi 176, 1–15 [Japanese]. Retrieved from http://www.lib.kobe-u.ac.jp/handle_kernel/00176174

Weinzettel, J., Hertwich, E. G., Peters, G. P., Steen-Olsen, K., & Galli, A. (2013). Affluence drives the global displacement of land use. Global Environmental Change, 23(2), 433–438. doi: 10.1016/j.gloenvcha.2012.12.010

Wiedmann, T. O., Schandl, H., Lenzen, M., Moran, D., Suh, S., West, J., & Kanemoto, K. (2015). The material footprint of nations. Proceedings of the National Academy of Sciences, 112(20), 6271–6276. doi: 10.1073/pnas.1220362110

Wilting, H. C., Schipper, A. M., Bakkenes, M., Meijer, J. R., & Huijbregts, M. A. J. (2017). Quantifying Biodiversity Losses Due to Human Consumption: A Global-Scale Footprint Analysis. Environmental Science & Technology, 51(6), 3298–3306. doi: 10.1021/acs.est.6b05296

Working Group on Countermeasures to the Nankai Trough Earthquake. (2012). Damage Estimates from the Nankai Trough Earthquake: The First Phase Report [Japanese]. Retrieved from http://www.bousai.go.jp/jishin/nankai/taisaku_wg/pdf/20120829_higai.pdf (accessed Feb. 2018).