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A model of stratified production process and spatial risk. (English) Zbl 1338.90234

Summary: In 2011, Japanese firms suffered severe losses as a result of the Great East Japan Earthquake and the Thailand floods. The firms incurred damage continually because they depended on spatially dispersed supply chains. Final goods producers are essentially attracted to outsourcing because of the prevailing scale economy in modern machinery industries. In addition, certain firms have dispersed their plants to different locations to avoid risks from powerful earthquakes that are expected near most of the developed metropolitan areas in the region. Such a strategy, however, has ironically caused contiguous damage to these firms. To capture the characteristics of supply chain over space and the cascade of spatial risks, we set up a two-level structure of circles where firms can be categorized. The top circle is occupied by intermediate goods producers, who provide differentiated inputs for the final goods producers in the second circle. We assume that scale economy works with respect to the variety of intermediate goods. Thus, final goods producers purchase inputs from intermediate goods producers located in different places, while paying transport costs in the process. We then evaluate the two-level structure in terms of location-specific hazards such as earthquakes. A more dispersed supply chain corresponds to a greater likelihood that final goods producers would suffer losses from the spatial risk. Simulation results reveal that the expected damage may be less for intermediate goods producers with more dispersed locations. On the contrary, final goods producers may be better served being spatially concentrated.

MSC:

90B90 Case-oriented studies in operations research
90B30 Production models
91B72 Spatial models in economics
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[1] Acemoglu, DA Ozdaglar, Tahbaz-Salehi A (2010) Cascades in Networks and Aggregate Volatility, NBER Working Papers, 16516 · Zbl 1338.90187
[2] Aldrich D (2012) Building resilience: social capital in post-disaster recovery. The University of Chicago Press, Chicago · doi:10.7208/chicago/9780226012896.001.0001
[3] Altay N, Ramirez A (2010) Impact of disasters on firms in different sectors: implications for supply chains. J Supply Chain Manag 46(4):59-80 · doi:10.1111/j.1745-493X.2010.03206.x
[4] Baldwin CY, Clark KB (2000) Design rules: the power of modularity. Press, The MIT
[5] Caschili S, Medda F, Parola F, Ferrari C (2014) An analysis of shipping agreements: the cooperative container network, networks and spatial economics, online first.. doi:10.1007/s11067-014-9230-1 · Zbl 1338.90229 · doi:10.1007/s11067-014-9230-1
[6] Cats O, Jenelius E (2014) Dynamic vulnerability analysis of public transport networks: mitigation effects of real-time information, networks and spatial economics, online first.. doi:10.1007/s11067-014-9237-7 · Zbl 1338.90076 · doi:10.1007/s11067-014-9237-7
[7] Davis D, Weinstein D (2002) Bones, bombs, and break points: the geography of economic activity. Am Econ Rev 92(5):1269-1289 · doi:10.1257/000282802762024502
[8] ESCAP (2013), Building resilience to natural disasters and major economics crisis, United Nations Publication, US
[9] Ethier W (1982) National and international returns to scale in the modern theory of international trade. Am Econ Rev 72(3):389-405
[10] Feenstra RC (1998) Integration of trade and disintegration of production in the global economy. J Econ Perspect 12:31-50, Fall · doi:10.1257/jep.12.4.31
[11] Gilbert S (2013) Disaster Resilience: a guide to the literature, NIST Special Publication 1117, CreateSpace Independent Publishing Platform
[12] Hallegatte S (2014) Economic Resilience: definition and measurement, World Bank Policy Research Working Paper Series, No. 6852
[13] Hallegatte S, Przyluski V (2010) The economics of natural disasters: concepts and methods, World Bank Policy Research Working Paper Series, No. 5507
[14] Henriet F, Hallegatte S, Tabourier L (2012) Firm-network characteristics and economic robustness to natural disasters. J Econ Dyn Control 36(1):150-167 · Zbl 1241.91097 · doi:10.1016/j.jedc.2011.10.001
[15] Illenberger J, Nagel K, Flötteröd G (2013) The role of spatial interaction in social networks. Netw Spat Econ 13:255-282 · Zbl 1339.91097 · doi:10.1007/s11067-012-9180-4
[16] Kimura, F.; Kiyota, K.; Ruffini, P-B (ed.), Fragmentation and corporate performance of Japanese firms in the globalization: evidence from the micro data, 100-148 (2004), London
[17] Nakajima K, Todo Y (2013) Kigyoukan-torihiki kankei no performance-kettei youin: Higashi-Nihon Dai-shinsai niokeru sapurai chein no sundan koka no reiyori (in Japanese), RIETI Discussion Paper, 13-J-024, The Research Institute of Economy, Trade and Industry, Japan
[18] Omer M (2013) The resilience of networked infrastructure systems. World Scientific Publishing, Singapore · doi:10.1142/8741
[19] Rose A (2007) Economic resilience to natural and man-made disasters: multidisciplinary origins and contextual dimensions. Environ Hazards 7(4):383-398 · doi:10.1016/j.envhaz.2007.10.001
[20] Shahabi M, Akbarinasaji S, Unnikrishnan A, James R (2013) Integrated inventory control and facility location decisions in a multi-echelon supply chain network with hubs. Netw Spat Econ 13:497-514 · Zbl 1332.90024 · doi:10.1007/s11067-013-9196-4
[21] Silberberg E (2000) The Structure of Economics: A Mathematical Analysis, third ed., McGraw-Hill, US · Zbl 0954.20014
[22] Silva F, Gao L (2013) A Joint replenishment inventory-location model. Netw Spat Econ 13:107-122 · Zbl 1332.90025 · doi:10.1007/s11067-012-9174-2
[23] The Fire and Disaster Management Agency, Japan, 2014 (March, 7), Tohoku-chihou Taiheiyou-oki Jishin ni tsuite, Report No. 149 (in Japanese)
[24] Todo Y, Nakajima K, Matous P (2013) How do supply chain networks affect the resilience of firms to natural disasters?: evidence from the great East Japan earthquake, RIETI discussion paper, 13-E-028. The Research Institute of Economy, Trade and Industry
[25] Tokui J, Arai N, Kawasaki K, Miyagawa T, Fukao K, Arai S, Edamura K, Kodama N, Noguchi N (2012) Higashi-Nihon Dai-shinsai no keizaiteki eikyo: Kako no saigai tono hikaku, sapurai chein no sundan koka, denryoku seiyaku no eikyo (in Japanese), RIETI Policy Discussion Paper, 12-P-004. The Research Institute of Economy, Trade and Industry
[26] Toyota Motor Corporation, 2012, 75 Years of Toyota, from: http://www.toyota-global.com/company/history_of_toyota/75years/index.html · Zbl 0853.90030
[27] Venables AJ (1996) Equilibrium locations of vertically linked industries. Int Econ Rev 37(2):341-359 · Zbl 0853.90030 · doi:10.2307/2527327
[28] von Neumann J, Morgenstern O (1953) Theory of Games and Economic Behavior, third ed., Princeton University Press, US · Zbl 0053.09303
[29] Wisner B, Blaikie P, Canon T, Davis I (2004) At Risk: Natural hazards, people’s vulnerability and disasters, 2nd edn. Routledge, UK
[30] World Bank and United Nations (2010) Natural hazards, UnNatural disasters: the economics of effective prevention. World Bank, Washington · doi:10.1596/978-0-8213-8050-5
[31] Yaghini M, Sarmadi M, Nikoo N, Momeni M (2014) Capacity consumption analysis using heuristic solution method for under construction railway routes. Netw Spat Econ Online First. doi:10.1007/s11067-014-9223-0 · Zbl 1338.90187 · doi:10.1007/s11067-014-9223-0
[32] Yamada Y, Noda S, Igarashi A (1992) Restoration process of malfunction of a road transportation system after seismic disaster. J Nat Disaster Sci 14(2):9-27
[33] Ye L, Abe M (2012) The impacts of natural disasters on global supply chains, ARTNeT Working Paper Series, No. 115
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