Global Assessment Report on Disaster Risk Reduction 2013
From Shared Risk to Shared Value: the Business Case for Disaster Risk Reduction


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the risk increasingly systemic. By mid-2009, global wealth valued at US$28.8 trillion, captured in equity and real estate values, had been lost in the resulting meltdown (McKinsey Global Institute, 2009

McKinsey Global Institute. 2009.,Global capital markets: Entering a new era., September 2009.. .
).
In the same way, and as the Thailand floods epitomised, individual business investment decisions in hazard-exposed areas can, over time, generate systemic global disaster risks. The preceding years of profit-oriented investment may have resulted in 2011 as the year with the largest disaster-related economic and insurance losses ever (GAR 13 paperOrie and Stahel, 2012

GAR13 Reference Orie, M. and Stahel, W.R. 2012.,UNISDR Case Study Report., Background Paper prepared for the 2013 Global Assessment Report on Disaster Risk Reduction., Geneva,Switzerland: UNISDR..
Click here to view this GAR paper.
; Ferris and Petz, 2012

Ferris, E. and Petz, D. 2012.,The Year that Shook the Rich: a review of natural disasters in 2011., The Broings Institution and London School of Economics Project on Internal Displacement.. .
; Worldwatch Institute, 2012

Worldwatch Institute. 2012.,Losses from Natural Disasters Reach Peak in 2011.. Available at http://www.worldwatch.org/losses-natural-disasters-reach-new-peak-2011..
). Investors seem to underestimate or are blind to systemic risk, whether associated with
sub-prime mortgages or hazard-exposed industrial estates (White and Fan, 2006

White, C. and Fan, M. 2006.,Risk and Foreign Direct Investment., Palgrave MacMillan., Basingste,UK.. .
).
Information on the economic risks associated with disasters, climate change or water scarcity is readily available. In 2002, for example, a group of financial institutions predicted that economic losses associated with disasters and climate change would amount to US$150 billion per year (UNEP FI, 2002

UNEP FI (United Nations Environment Programme Financial Initiative). 2002.,Climate Change & the Financial Services Industry. Module 1 – Threats and Opportunities., Report prepared Prepared for the UNEP Finance Initiatives Climate Change Working Group by Innovest SVA.. .
). This figure was surpassed just three years later, when Hurricane Katrina hit the US coast in 2005. In 2007, a revised scenario was developed that predicted potential losses owing to climate change of US$1 trillion per year by 2040 (UNEP FI, 2007

UNEP FI (United Nations Environment Programme Financial Initiative). 2007.,Carbon Crunch. Meeting the Cost. Recommendations for Policy Makers., CEObreefing series, December 2007., Geneva,Switzerland.. .
).
(Source: UNISDR)
Box 12.2 No more forecasting blind spots—applying future risk lenses
The Economist Intelligence Unit (EIU), one of the world’s leading institutes for economic, political and social analysis, provides, among other information services, economic forecasts, risk and country briefings to businesses and public sector actors alike. These briefings and underlying data are widely used and globally referenced, and thus have a substantial level of influence on the public understanding of future risks and economic projections. These country and sector forecasts do not include risks associated with natural hazards, as the methodology of the EIU explicitly excludes assessments of future hazard and risk.

For example, the 2012 country report of Indonesia, one of the world’s highly hazard-prone countries, does not address disaster risk at all (EIU, 2012a

EIU (Economist Intelligence Unit). 2012a.,Indonesia Country Report December 2012., London,UK.. .
). The 2012 Kenya country report addresses drought risk more clearly. However, it is not integrated in the economic forecast model. Instead the report describes that policy-making will remain vulnerable to exogenous shocks, which include drought and volatile commodity prices, and continues to warn that droughts would pose downside risks to GDP growth forecasts, calculated at 4.8 percent for 2013 (EIU, 2012b

EIU (Economist Intelligence Unit). 2012b.,Kenya Country Report December 2012., London,UK.. .
).

However, specific analysis that is tailor-made for individual clients may include disaster risk analysis upon request. Further, in the aftermath of a disaster, regular country reports do refer to these events and their impacts on economic performance. For example, in case of Haiti, which was recently hit by tropical storms, including Hurricane Sandy, and is still in the reconstruction process, the country report addresses disaster risk in several places. Thus, the economic impact of past disasters caused, for example, by agricultural loss or physical capital damage is woven into the economic forecast, but the probability of future disaster risk is not (EIU, 2012c

EIU (Economist Intelligence Unit). 2012c.,Haiti Country Report 4th quarter 2012., London,UK.. .
).

Although excluding disaster risk from standard forecasts may seem surprising from a disaster risk manager’s point of view, from the perspective of an economic forecaster, it makes good sense. For example, the short time period of forecasts—two years in the case of EIU forecasts—means that including disaster risk probabilities is a tricky exercise.

New developments in probabilistic risk modelling and assessments, however, and increasingly sophisticated concepts of resilient economies and supply chains in the business sector could change this trend and help the emergence of a new generation of economic forecasts. The EIU has recognised the significant impact that disaster events can have on economic and business performance and is therefore considering an integration of relevant indicators for disaster risk into its models (GAR 13 paperEIU, 2012d

GAR13 Reference EIU (Economist Intelligence Unit). 2012d.,The EIU Methodology., Internal Briefing Paper prepared for the 2013 Global Assessment Report on Disaster Risk Reduction., Geneva,Switzerland: UNISDR.
Click here to view this GAR paper.
). Although in its infancy, this process could greatly enhance the understanding of other dimensions of economic and business resilience than those currently dominating and limiting investment decision-making.

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