Skip to main content

Supply Chain, Transportation, and Spatial Risk

  • Chapter
  • 883 Accesses

Abstract

In 2011, Japanese firms suffered severe losses as a result of the Great East Japan Earthquake and the Thailand floods. Firms incurred continual damage because they depended on spatially dispersed supply chains. The fragmentation of foreign and domestic trade proceeds as a dispersion force. As a result, secondary or tertiary subcontractors sometimes provide distinctive parts independently. However, such a structure has in fact caused contiguous damage to these firms. To capture the characteristics of supply chains over space and the cascade of spatial risks, we set up a two-level structure of circles in which 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 in different locations, 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. Conversely, final goods producers may be better served by being spatially concentrated.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    Natural disasters cause human losses as well as economic damage. The Great East Japan Earthquake on 11 March 2011 caused 21,613 fatalities and missing people (The Fire and Disaster Management Agency, Japan, 2014).

  2. 2.

    See ESCAP (2013, 157–158) for the shock in detail.

  3. 3.

    While Wisner et al. (2004) proposed the definition of disaster or disaster risk because of the interaction between vulnerability and hazards, the World Bank and the United Nations (2010) adopted a similar definition. A hazard is a natural or man-made phenomenon capable of inflicting harm on communities (Gilbert 2013).

  4. 4.

    Kull and Closs (2008) pointed out that increased inventory in a tiered supply chain might increase supply risk rather than decrease it.

  5. 5.

    See Venables (1996) for a model of vertically linked industries in the context of the New Economic Geography, although no distances occur among firms within a supply chain in each region.

  6. 6.

    This assumption of differentiated inputs comes from the example of ‘Renesas Shock,’ as described above.

  7. 7.

    In the case of the Japanese automobile industry, for example, clients pay the transport cost of their inputs.

  8. 8.

    FOB price is the price effective for the trade at the plant only, and does not include the transport cost. FOB price is also referred to as the mill price. See Beckmann (1976).

  9. 9.

    See Yamada et al. (1992) or Omer (2013) for studies about restoring the damaged transportation network.

  10. 10.

    Henriet et al. (2012) adopted similar assumptions. Hallegatte and Przyluski (2010) proposed a definition of the economic cost of a disaster for longer periods.

  11. 11.

    In traditional economic theory, risk itself is given exogenously, and agents should decide whether or not to take it, which is different from the definition of risk given by Wisner et al. (2004) in Footnote 3.

  12. 12.

    In reality, producers seem to balance the fixed costs or communication costs due to dispersion of plants with their risk aversion.

  13. 13.

    Although changing the parameter values is interesting as comparative statics or sensitivity analysis, we could extract the essential characteristics of the supply chain by using this setting at this stage.

  14. 14.

    In Figs. 3.8, 3.12, and 3.14, note that the profit of the final goods sector in normal times is zero by assumption (i.e., \( {\displaystyle \sum }{\Pi}_i=0 \)).

References

  • Altay, N., & Ramirez, A. (2010). Impact of disasters on firms in different sectors: Implications for supply chains. Journal of Supply Chain Management, 46(4), 59–80.

    Article  Google Scholar 

  • Baldwin, C. Y., & Clark, K. B. (2000). Design rules: The power of modularity. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Beckmann, M. (1976). Spatial price policies revisited. The Bell Journal of Economics, 7(2), 619–630.

    Article  Google Scholar 

  • Davis, D., & Weinstein, D. (2002). Bones, bombs, and break points: The geography of economic activity. American Economic Review, 92(5), 1269–1289.

    Article  Google Scholar 

  • ESCAP. 2013. Building resilience to natural disasters and major economics crisis. New York: United Nations Publication.

    Google Scholar 

  • Ethier, W. (1982). National and international returns to scale in the modern theory of international trade. American Economic Review, 72(3), 389–405.

    Google Scholar 

  • Feenstra, R. C. (1998). Integration of trade and disintegration of production in the global economy. Journal of Economic Perspectives, 12(Fall), 31–50.

    Article  Google Scholar 

  • Gilbert, S. (2013). Disaster resilience: A guide to the literature. NIST special publication, Vol. 1117. North Charleston: CreateSpace Independent Publishing Platform.

    Google Scholar 

  • Hallegatte, S. (2014). Economic resilience: Definition and measurement (World Bank policy research working paper series, Vol. 6852). Washington, DC: World Bank.

    Book  Google Scholar 

  • Hallegatte, S., & Przyluski, V. (2010). The economics of natural disasters: Concepts and methods (World Bank policy research working paper series, Vol. 5507). Washington, DC: World Bank.

    Book  Google Scholar 

  • Henriet, F., Hallegatte, S., & Tabourier, L. (2012). Firm-network characteristics and economic robustness to natural disasters. Journal of Economic Dynamics and Control, 36(1), 150–167.

    Article  Google Scholar 

  • Kull, T., & Closs, D. (2008). The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy. European Journal of Operational Research, 186, 1158–1174.

    Article  Google Scholar 

  • Kuroda, T. (2014). A model of stratified production process and spatial risk. Networks and Spatial Economics, online first, doi:10.1007/s11067-014-9268-0.

  • Modica, M., & Reggiani, A. (2014). Spatial economic resilience: Overview and perspectives. Networks and Spatial Economics, online first, doi:10.1007/s11067-014-9261-7.

  • 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.

    Google Scholar 

  • Omer, M. (2013). The resilience of networked infrastructure systems. Singapore: World Scientific Publishing.

    Book  Google Scholar 

  • Rose, A. (2007). Economic resilience to natural and man-made disasters: Multidisciplinary origins and contextual dimensions. Environmental Hazards, 7(4), 383–398.

    Article  Google Scholar 

  • The Fire and Disaster Management Agency, Japan. (2014, March 7). Tohoku-chihou Taiheiyou-oki Jishin ni tsuite. Report No. 149 (in Japanese).

    Google Scholar 

  • 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, Japan.

    Google Scholar 

  • 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, Japan.

    Google Scholar 

  • Toyota Motor Corporation. (2012). 75 years of Toyota. From: http://www.toyota-global.com/company/history_of_toyota/75years/index.html

  • Venables, A. J. (1996). Equilibrium locations of vertically linked industries. International Economic Review, 37(2), 341–359.

    Article  Google Scholar 

  • Wisner, B., Blaikie, P., Canon, T., & Davis, I. (2004). At risk: Natural hazards, people’s vulnerability and disasters (2nd ed.). London: Routledge.

    Google Scholar 

  • World Bank and United Nations. (2010). Natural hazards, unnatural disasters: The economics of effective prevention. Washington, DC: World Bank.

    Book  Google Scholar 

  • Yamada, Y., Noda, S., & Igarashi, A. (1992). Restoration process of malfunction of a road transportation system after seismic disaster. Journal of Natural Disaster Science, 14(2), 9–27.

    Google Scholar 

  • Ye, L., & Abe, M. (2012). The impacts of natural disasters on global supply chains. ARTNeT working paper series, Vol. 115. Bangkok: ESCAP.

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Japan Research Center for Transport Policy. Earlier versions of this paper were presented at the Annual Congresses of European Regional Science Association in Bratislava and Palermo, the NECTAR conference at the Azores, the Third Asian Seminar in Regional Science at Hualien, and the Applied Regional Science Conference at Naha. The author would like to thank the discussants and participants at the conferences, particularly Masahisa Fujita and Olaf Jonkeren, who provided insightful comments. He thanks Shigeyoshi Tanaka and Youdai Yamada for useful comments. This chapter was based on Kuroda (2014). He would like to thank Aura Reggiani and Networks and Spatial Economics for their helpful comments. Any error in this chapter is the author’s sole responsibility.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tatsuaki Kuroda .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Japan

About this chapter

Cite this chapter

Kuroda, T. (2015). Supply Chain, Transportation, and Spatial Risk. In: Ishikawa, T. (eds) Firms’ Location Selections and Regional Policy in the Global Economy. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55366-3_3

Download citation

Publish with us

Policies and ethics