A Model for Indirect Losses of Negatives Shocks in Production and Finance

26 Pages Posted: 21 Mar 2019

See all articles by Hazem Krichene

Hazem Krichene

Scope ESG Analysis GmbH; Potsdam-Institut für Klimafolgenforschung (PIK)

Hiroyasu Inoue

University of Hyogo, Graduate School of Information Science; Japan Science and Technology Agency (JST); RIKEN Center for Computational Science

Takashi Isogai

Tokyo Metropolitan University

Abhijit Chakraborty

University of Hyogo - Graduate School of Simulation Studies; International Institute for Applied Systems Analysis (IIASA) - Advanced Systems Analysis; Complexity Science Hub Vienna

Date Written: February 28, 2019

Abstract

The Japanese economy has been frequently affected by natural disasters and domestic and overseas financial crises. These events cause production disruption and several other economic losses including the negative impacts on the banking system. The understanding of the transmission mechanism that causes various negative second-order effects post-catastrophe is crucial for policymakers in order to define more efficient strategies for recovery. We introduce in this work the credit-based adaptive regional input-output (ARIO) model to analyze the effects of disaster and crisis on the supply chain and the bank-firm credit networks. Using the exogenous shocks of the 2008 Lehman Brothers bankruptcy and the Great East Japan Earthquake (March 11, 2011), this paper has three research objectives. First, investigate how Japanese listed firms' strategies differ between financial crisis and natural disaster. Second, show how exogenous shocks related to those catastrophic events are transferred to the Japanese banks through the bank-firm network. Third, investigate the most vulnerable Japanese industrial sectors and Japanese geographic locations when hit by a financial crisis and natural disaster, respectively. The model is initialized based on the real supplier-customer network of Japanese listed firms, the real borrowing-lending network of Japanese banks and Japanese listed firms, and the financial statements of these firms. The credit-based ARIO model is calibrated using the Latin hypercube sampling and the design of experiments to reproduce the short-term (one year) dynamics of the index of industrial production of Japan post the 2008 Lehman Brothers bankruptcy and the 2011 Great earthquake in Japan. We reproduced by simulation the Japanese economic dynamics post these two disastrous events. We show how the disruption of production caused by financial crisis or natural disaster is transferred to the banking system by generating additional non-performing loans and liquidity pressure. Then, by simulation experiments we identify the most vulnerable Japanese industrial sectors as the chemical and petroleum manufacturing, and the transport, since those sectors are damaged by a crisis similar to the 2008 financial crisis. The impact on the global economy is measured and the systemic risk of industrial sectors is explained by their position in the supply chain network. Finally, the scenario of the 2011 Great earthquake is simulated on Japanese prefectures to understand differences between regions in terms of global engendered indirect economic losses. Tokyo and Osaka prefectures are the vulnerable geographic locations because of the higher concentration of those vulnerable industrial sectors.

Keywords: Supply Chain Network, Bank-Firm Network, Disaster Indirect Losses, 2008 Lehman Brothers Bankruptcy, 2011 Great Earthquake

JEL Classification: C63, L14, Q54, H12, H81, G21

Suggested Citation

Krichene, Hazem and Inoue, Hiroyasu and Isogai, Takashi and Chakraborty, Abhijit, A Model for Indirect Losses of Negatives Shocks in Production and Finance (February 28, 2019). Available at SSRN: https://ssrn.com/abstract=3343949 or http://dx.doi.org/10.2139/ssrn.3343949

Hazem Krichene (Contact Author)

Scope ESG Analysis GmbH ( email )

Potsdam-Institut für Klimafolgenforschung (PIK) ( email )

Telegrafenberg 31
Potsdam, Brandenburg 14473
Germany

Hiroyasu Inoue

University of Hyogo, Graduate School of Information Science ( email )

7-1-28 Minato-jima, Minami-machi
Chuo-ku
Kobe, Hyogo 650-0047
Japan

Japan Science and Technology Agency (JST) ( email )

Kawaguchi Center Building
4-1-8, Honcho, Kawaguchi-shi
Saitama, 332-0012
Japan

RIKEN Center for Computational Science ( email )

7-1-26 Minatojima-minami-machi, Chuo-ku
Kobe, Hyogo 650-0047
Japan

Takashi Isogai

Tokyo Metropolitan University

1-1 Minami Ohsawa, Hachioji-shi
Tokyo 192-0397
Japan

Abhijit Chakraborty

University of Hyogo - Graduate School of Simulation Studies ( email )

7-1-28 Minato-jima, Minami-machi
Chuo-ku
Kobe, Hyogo 650-0047
Japan

International Institute for Applied Systems Analysis (IIASA) - Advanced Systems Analysis ( email )

Schlossplatz 1, A-2361 Laxenburg, Austria

Complexity Science Hub Vienna ( email )

Josefstädter Straße 39
Vienna
Austria

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