Abstract
The welfare impact of a natural disaster depends on its effect on consumption, not only on the direct asset losses and human losses that are usually estimated and reported after disasters. This chapter proposes a framework to assess disaster-related consumption losses, starting from an estimate of the asset losses, and leading to the following findings. First, output losses after a disaster destroys part of the capital stock are better estimated by using the average—not the marginal—productivity of capital. A model that describes capital in the economy as a single homogeneous stock would systematically underestimate disaster output losses, compared with a model that tracks capital in different sectors with limited reallocation options. Second, the net present value of disaster-caused consumption losses decreases when reconstruction is accelerated. With standard parameters, discounted consumption losses are only 10% larger than asset losses if reconstruction is completed in 1 year, compared with 50% if reconstruction takes 10 years. Third, for disasters of similar magnitude, consumption losses are expected to be lower where the productivity of capital is higher, such as in capital-scarce developing countries. This mechanism may partly compensate for the many other factors that make poor countries and poor people more vulnerable to disasters.
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Notes
- 1.
In many estimates of households’ disaster losses, one can find “asset losses” and “income losses” [see for instance Patankar and Patwardhan (2014)]. Howewer, it is often the case that “asset losses” represent the losses to the assets owned by the considered household and “income losses” represent the loss in income due to damages to other people’s (or public) assets. For instance, a household can lose its house (an asset loss) and be unable to work because its firm is damaged (a loss to the firm owner’s asset) or because transportation is impossible (a loss of public assets). In that case, no double counting is happening.
- 2.
- 3.
Note that if the value of asset losses ΔK is defined as the discounted value of the lost production, then by definition the asset losses are equal to lost production. Here, we highlight the difference between the asset losses measured by their pre-disaster value and the lost production.
- 4.
These ripple effects can even take place within a factory, if one segment of the production process is impossible and therefore interrupts the entire production.
- 5.
In growth models, the impossibility to relocate capital can be represented by a non-negativity constraint on investments: investments in capital K1 cannot be negative, with the divestment used to consume or invest in K2; see an example in Rozenberg et al. (2018).
- 6.
Other assets may exhibit negative externality, e.g. air pollution from a coal power plant.
- 7.
One limitation of using only two variables is that we have to assume that the return on reconstruction is constant, which is obviously an oversimplification. One way to include priorities for reconstruction (more productive destroyed assets can be rebuilt before less productive destroyed assets), is to keep a disaggregated production function.
- 8.
Specific instruments such as contingent credit lines help with reconstruction financing. See for instance on the World Bank’s Cat-DDO, http://treasury.worldbank.org/bdm/pdf/Handouts_Finance/CatDDO_Product_Note.pdf
- 9.
One difficulty is the fact that an economy affected by a disaster may never return to its initial situation: some activities may disappear permanently, while new sectors may appear. Hurricanes in La Réunion, a French island off the coast of Madagascar, in 1806 and 1807 led to a shift from coffee to sugar cane production, for instance. Also, “good” reconstruction may improve the quality and resilience of infrastructure and productive capital (Benson and Clay 2004; Skidmore and Toya 2002). In this rule of thumb, however, we assess the cost of the disaster as the losses that occur if the economy returns to its initial state, leaving economic growth aside. A modeling exercise with an endogenous growth model (Hallegatte and Dumas 2009) suggests that introducing even an optimistic version of this effect would not change results dramatically. Moreover, even if there is no “return to the initial situation,” defining the “cost” as “the cost to return to the initial situation” provides a useful (and comparable) benchmark.
- 10.
The reality is more complex than what has been described here because not all output losses are translated into consumption losses. In practice, the loss in output changes the terms of the inter-temporal investment-consumption trade-off and translates into ambiguous instantaneous changes in consumption and investment. But the main conclusions of the analysis are not affected by this complexity.
- 11.
Conversely, if a disaster makes a large fraction of the population leave the city (such as Katrina in New Orleans) or if many jobs disappear as a result, then the cost of housing may decrease because of the shock. Changes in risk perceptions could also lead to a decrease in home values, as illustrated in Bin and Polasky (2004)).
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Acknowledgements
This paper is a background paper for the World Bank report “Unbreakable: Building the resilience of the poor in the face of natural disasters.” It benefited from comments and feedback from many people, including Jinqiang Chen and the participants to the ENGAGE workshop hosted by the Potsdam Institute for Climate Impact Research in Potsdam, Germany, on June 20–21, 2016.
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Appendix: Price Impacts and the Cost of Reconstruction
Appendix: Price Impacts and the Cost of Reconstruction
The equality of asset value and output is valid only for marginal changes, i.e. for small shocks that do not affect the structure of the economy and the relative prices of different goods and services. The impact is different for large shocks. Such non-marginal shocks affect prices, while asset and output losses are often estimated assuming unchanged (pre-disaster) prices (e.g., assuming that if a house is destroyed, the family who owns the house can rent another house at the pre-disaster price). But this assumption is unrealistic if the disaster causes more than a small shock. In post-disaster situations, indeed, a significant fraction of houses may be destroyed, leading to changes in the relative price structure. In this case, the price of alternative housing can be much higher than the pre-disaster price, as a consequence of the disaster-related scarcity in the housing market.Footnote 11
For large shocks, estimating the value of lost output service should take into account the price change. Compared with an assessment based on the pre-disaster prices, it can lead to a significant increase in the assessed disaster cost.
Post-disaster price is especially sensible in the construction sector, which sees final demand soar after a disaster. For instance, Fig. 2.3 shows the large increase in wages for roofers and carpenters in two areas heavily affected by hurricane losses in Florida in 2004. This inflation affects the replacement cost of capital and is referred to as “demand surge” in the insurance industry.
Post-disaster price inflation is often considered as resulting from unethical behavior from businesses, justifying anti-gouging legislation (e.g., Rapp 2005). But it also has positive consequences by supporting the optimal allocation of the remaining capital (e.g., housing) and by incentivizing quick reconstruction. This inflation, indeed, helps attract qualified workers where they are most needed and creates an incentive for all workers to work longer hours, therefore compensating for damaged assets and accelerating reconstruction. It is likely, for instance, that higher prices after hurricane landfalls are useful to make roofers from neighboring unaffected regions move to the landfall region, therefore increasing the local production capacity and reducing the reconstruction duration. Demand surge, as a consequence, may also reduce the total economic cost of a disaster, even though it increases its financial burden on the affected population.
In extreme cases, or where price adjustment is constrained by ethical considerations or anti-gouging regulations, there may be rationing, i.e. the price cannot clear the market and supply is not equal to demand: there is no available house for rent at any price, there is no qualified worker to repair a roof. In these situations, even using the post-disaster price underestimates the losses.
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Hallegatte, S., Vogt-Schilb, A. (2019). Are Losses from Natural Disasters More Than Just Asset Losses?. In: Okuyama, Y., Rose, A. (eds) Advances in Spatial and Economic Modeling of Disaster Impacts. Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-030-16237-5_2
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