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Sri Lankan households a decade after the Indian Ocean tsunami

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  • Diana De Alwis
  • Ilan Noy

Abstract

This study estimates the causal effect of the 2004 Indian Ocean tsunami on household consumption and income in Sri Lanka 8 years after the event, using a difference‐in‐differences methodology and extensive household survey data. The analysis finds a strong association between the area‐wide tsunami disaster shock and increases in household income and consumption in the long term. The increase in consumption is much smaller than the observed increase in income; while the increase in income is mostly observed in nonagricultural wage income (and a decline in agricultural income). We also find that households in high‐income regions and lower‐damage districts experienced a much better recovery, in terms of income, than those in poorer regions or those districts that experienced more destruction. Deviating from the common observation on short‐term adverse impacts of catastrophic disasters in low‐ and middle‐income countries, these results are suggestive of a potential for long‐lasting and more successful recovery scenarios. Still, Sri Lanka received a very large amount of external assistance post‐tsunami—an amount that may not be replicable elsewhere. It is likely that this massive inflow of assistance, further helped by the end of the armed conflict in 2009, has contributed significantly to this relatively successful recovery.

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  • Diana De Alwis & Ilan Noy, 2019. "Sri Lankan households a decade after the Indian Ocean tsunami," Review of Development Economics, Wiley Blackwell, vol. 23(2), pages 1000-1026, May.
  • Handle: RePEc:bla:rdevec:v:23:y:2019:i:2:p:1000-1026
    DOI: 10.1111/rode.12586
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    Cited by:

    1. Diana Alwis, 2020. "Distributional Impacts of Disaster Recovery: Sri Lankan Households a Decade after the 2004 Indian Ocean Tsunami," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 195-222, April.
    2. Ilan Noy & Eric Strobl, 2023. "Creatively Destructive Hurricanes: Do Disasters Spark Innovation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 1-17, January.
    3. De Alwis, Diana, 2018. "Distributional impacts of disaster recovery: Sri Lankan households a decade after the 2004 Indian Ocean tsunami," Working Paper Series 20321, Victoria University of Wellington, School of Economics and Finance.
    4. Diana De Alwis & Ilan Noy, 2019. "The Cost of Being Under the Weather: Droughts, Floods, and Health-Care Costs in Sri Lanka," Asian Development Review, MIT Press, vol. 36(2), pages 185-214, September.
    5. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Sally Owen & Ilan Noy & Jacob Pástor-Paz & David Fleming, 2019. "EQC and extreme weather events (part 2): Measuring the impact of insurance on New Zealand landslip, storm and flood recovery using nightlights," Working Papers 19_19, Motu Economic and Public Policy Research.
    7. De Alwis, Diana, 2018. "Distributional impacts of disaster recovery: Sri Lankan households a decade after the 2004 Indian Ocean tsunami," Working Paper Series 6980, Victoria University of Wellington, School of Economics and Finance.

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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