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.
Highlights
Japan is known as an earthquake-prone country; between 1996 and September 2018, there were 155 earthquakes – an average of 6.7 earthquakes per year – which resulted in human injuries (Japan Meteorological Agency, 2018)
This study uses the loss of social surplus (SS) as a damage estimation because production is less informative as a damage index than profit; 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 and buyer
Leontief price model (LPM) is for supply-side analysis and is suited to the supply constraint
Summary
Japan is known as an earthquake-prone country; between 1996 and September 2018, there were 155 earthquakes – an average of 6.7 earthquakes per year – which resulted in human injuries (Japan Meteorological Agency, 2018). Note that in 1995, the Hyogo-ken Nanbu Earthquake (the so-called Great Hanshin Earthquake) resulted in 6,434 deaths and three missing people Natural disasters such as earthquakes often disrupt economic activities across supply chains. Savitz (2012) used the Great East Japan Earthquake (GEJE, Japan) in March 2011 and the major flooding in Thailand in 2011 to highlight the need for manufacturers to apply effective riskmanagement strategies along supply chains to minimize disruptions. These examples demonstrate the importance of forecasting the economic damage that will result from supply chain disruptions when structuring risk-management schemes for product supply chains
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