Long-term economic impacts of coastal floods in Europe: a probabilistic analysis
Ignazio Mongelli , Michalis Vousdoukas , Luc Feyen , Antonio Soria , Juan-Carlos Ciscar
AIMS Environmental Science ›› 2023, Vol. 10 ›› Issue (5) : 593 -608.
In this article we quantify the long-term economic impacts of coastal flooding in Europe. In particular, how the direct coastal damages generate long-term economic losses that propagate and compound throughout the century. A set of probabilistic projections of inundation-related direct damages (to residential buildings, firms’ physical assets and agriculture production) is used as an exogenous shock to a dynamic stochastic economic model. The article considers explicitly the uncertainty related to the economic agents’ behaviour and other relevant macroeconomic assumptions, i.e., how would consumers finance the repairing of their homes, how long does it take for a firm to reconstruct, whether firms decide to build-back-better after the inundation and possibly compensate the losses with a productivity gain. Our findings indicate that the long-term impacts of coastal floods could be larger than the direct damages. Under a high emission scenario (RCP8.5) the EU27 plus UK could lose every year between 0.25% and 0.91% of output by 2100, twice as much as the direct damages. The welfare losses present a strong regional variation, with the South (Bulgaria, Greece, Italy, Malta, Portugal and Spain), and United Kingdom (UK) plus Ireland regions showing the highest damages and a significant part of the population that could suffer significant welfare losses by the end of the century.
climate change / coastal impacts / uncertainty / economic analysis
| [1] |
|
| [2] |
Godlewski G, Caporalini L, Deuss B. 2020. “Acqua Alta” and the need for the Mo.S.E. project, TU Delft, student research project report, available at: http://resolver.tudelft.nl/uuid:ea34a719-79c1-4c6e-b886-e0d92407bc9d (last access: 20 September 2022). |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
Schinko T, Drouet L, Vrontisi Z, |
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
Naqvi A, Monasterolo I 2021. Assessing the cascading impacts of natural disasters in a multilayer behavioral network framework. Sci Rep 11: 20146. https://doi.org/10.1038/s41598-021-99343-4 |
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
DG Ecfin (2021) The 2021 Ageing Report Economic & Budgetary Projections for the EU Member States (2019-2070). Institutional paper 148. Brussels. |
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
Feyen L, Ciscar JC, Gosling S, |
| [26] |
Kesten H (1971) Some nonlinear stochastic growth models. Bull New Ser Am Math Soc 77: 492-511. https://doi.org/10.1090/S0002-9904-1971-12732-5 |
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
Cavallo E, Galiani S, Noy I, |
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
Howitt P (2005) Health, human capital and economic growth: a Schumpeterian perspective. In: Health and Economic Growth: Findings and Policy Implications, ed. G. Lopez-Casasnovas. B. Rivera, and L. Currais. Cambridge. MA: MIT Press https://doi.org/10.7551/mitpress/3451.003.0005 |
| [44] |
|
| [45] |
European Commission-Eurostat, 2021. Annual sector accounts - Non-financial transactions (nasa_10_nf_tr). |
| [46] |
The World Bank, World Development Indicators, 2021. Gross savings (% of GDP). World Bank national accounts data, and OECD National Accounts data files. Retrieved from https://data.worldbank.org/indicator/NY.GNS.ICTR.ZS |
| [47] |
Mastrandrea, M.D., Field, C.B., Stocker, T.F., Edenhofer, O., Ebi, K.L., Frame, D.J., Held, H., Kriegler, E., Mach, K.J., Matschoss, P.R., Plattner, G.-K., Yohe, G.W. and Zwiers, F.W., 2010. Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties. Intergovernmental Panel on Climate Change (IPCC). Available at http://www.ipcc.ch |
/
| 〈 |
|
〉 |