Detecting Disasters and Disaster Recovery in Southeast Asia: Findings from Space
Publication: Natural Hazards Review
Volume 23, Issue 2
Abstract
This paper builds on the group of studies that have used satellite night light data to measure the impact of natural disasters on economic development. It examines the dynamics of disasters using monthly subnational-level data for Southeast Asian countries covering the period 2012–2018. Four issues are considered. First, the paper determines the proportion of disasters that can be detected through an exogenous structural break in the night light luminosity data. Second, it identifies the factors that are associated with detection. Third, it uses the luminosity data to examine how consistent disaster recovery patterns are with theoretical scenarios. Finally, it identifies the factors associated with different recovery patterns. Findings suggest that the probability of disasters being detected using night light data is positively associated with disaster intensity. Recoveries from many, but not all, disasters do not result in a significant change in luminosity from its predicted trend. Although some disasters result in luminosity returning to a permanently lower growth path, it is more common for it to return to a higher-than-predicted trend.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Albala-Bertrand, J. M. 1993. “Natural disaster situations and growth: A macroeconomic model for sudden disaster impacts.” World Dev. 21 (9): 1417–1434. https://doi.org/10.1016/0305-750X(93)90122-P.
Annen, K., and S. Strickland. 2017. “Global Samaritans? Donor election cycles and the allocation of humanitarian aid.” Eur. Econ. Rev. 96 (Jul): 38–47. https://doi.org/10.1016/j.euroecorev.2017.04.006.
Bertinelli, L., and E. Strobl. 2013. “Quantifying the local economic growth impact of hurricane strikes: An analysis from outer space for the Caribbean.” J. Appl. Meteorol. Climatol. 52 (8): 1688–1697. https://doi.org/10.1175/JAMC-D-12-0258.1.
Cavallo, E., S. Galiani, I. Noy, and J. Pantano. 2013. “Catastrophic natural disasters and economic growth.” Rev. Econ. Stat. 95 (5): 1549–1561. https://doi.org/10.1162/REST_a_00413.
Chhibber, A., and R. Laajaj. 2008. “Disasters, climate change and economic development in sub-Saharan Africa: Lessons and directions.” J. Afr. Econ. 17 (2): 7–49. https://doi.org/10.1093/jae/ejn020.
CRED (Centre for Research on the Epidemiology of Disasters). 2019. Emergency events database. Brussels, Belgium: CRED.
CRED (Centre for Research on the Epidemiology of Disasters). 2020. Disasters 2019: Year in review. Brussels, Belgium: CRED.
Cutter, S. L., K. D. Ash, and C. T. Emrich. 2014. “The geographies of community disaster resilience.” Global Environ. Change 29 (Nov): 65–77. https://doi.org/10.1016/j.gloenvcha.2014.08.005.
De Janvry, A., A. Del Valle, and E. Sadoulet. 2016. Insuring growth: The impact of disaster funds on economic reconstruction in Mexico. Washington, DC: World Bank.
De Luca, G., R. Hodler, P. A. Raschky, and M. Valsecchi. 2018. “Ethnic favoritism: An axiom of politics?” J. Dev. Econ. 132 (May): 115–129. https://doi.org/10.1016/j.jdeveco.2017.12.006.
Del Valle, A., R. J. Elliott, E. Strobl, and M. Tong. 2018. “The short-term economic impact of tropical cyclones: Satellite evidence from Guangdong Province.” Econ. Disasters Clim. Change 2 (3): 225–235. https://doi.org/10.1007/s41885-018-0028-3.
Doll, C. N., J. P. Muller, and J. G. Morley. 2006. “Mapping regional economic activity from night-time light satellite imagery.” Ecol. Econ. 57 (1): 75–92. https://doi.org/10.1016/j.ecolecon.2005.03.007.
Elliott, R. J., E. Strobl, and P. Sun. 2015. “The local impact of typhoons on economic activity in China: A view from outer space.” J. Urban Econ. 88 (Jul): 50–66. https://doi.org/10.1016/j.jue.2015.05.001.
EOG (Earth Observation Group). 2019. “Version 1 VIIRS day/night band nighttime lights.” Accessed April 21, 2019. https://www.ngdc.noaa.gov/eog/viirs/download_dnb_composites.html#NTL_2015.
Felbermayr, G., and J. Gröschl. 2013. “Natural disasters and the effect of trade on income: A new panel IV approach.” Eur. Econ. Rev. 58 (Feb): 18–30. https://doi.org/10.1016/j.euroecorev.2012.11.008.
Felbermayr, G., and J. Gröschl. 2014. “Naturally negative: The growth effects of natural disasters.” J. Dev. Econ. 111 (Nov): 92–106. https://doi.org/10.1016/j.jdeveco.2014.07.004.
Felbermayr, G., J. Gröschl, M. W. J. L. Sanders, V. G. Schippers, and T. Steinwachs. 2018. Shedding light on the spatial diffusion of disasters (No. 7146). Munich, Germany: Ludwigs-Maximilians University’s Center for Economic Studies and the ifo Institute.
Fink, G., and S. Redaelli. 2011. “Determinants of international emergency aid—Humanitarian need only?” World Dev. 39 (5): 741–757. https://doi.org/10.1016/j.worlddev.2010.09.004.
Fomby, T., Y. Ikeda, and N. V. Loayza. 2013. “The growth aftermath of natural disasters.” J. Appl. Econ. 28 (3): 412–434. https://doi.org/10.1002/jae.1273.
FTS (Financial Tracking Service). 2019. “Humanitarian contributions.” Accessed May 22, 2019. https://fts.unocha.org/.
Ghosh, T., S. J. Anderson, C. D. Elvidge, and P. C. Sutton. 2013. “Using nighttime satellite imagery as a proxy measure of human well-being.” Sustainability 5 (12): 4988–5019. https://doi.org/10.3390/su5124988.
Gibson, J., S. Olivia, G. Boe-Gibson, and C. Li. 2019. “Which night lights data should we use in economics, and where?” J. Dev. Econ. 149 (Mar): 102602. https://doi.org/10.1016/j.jdeveco.2020.102602.
Gillespie, T. W., E. Frankenberg, K. Fung Chum, and D. Thomas. 2014. “Night-time lights time series of tsunami damage, recovery, and economic metrics in Sumatra, Indonesia.” Remote Sens. Lett. 5 (3): 286–294. https://doi.org/10.1080/2150704X.2014.900205.
Hallegatte, S., and V. Przyluski. 2010. “The economics of natural disasters.” In Proc., CESifo Forum, 14–24. München, Germany: Ifo Institut für Wirtschaftsforschung an der Universität München.
Heger, M. P., and E. Neumayer. 2019. “The impact of the Indian Ocean tsunami on Aceh’s long-term economic growth.” J. Dev. Econ. 141 (Nov): 102365. https://doi.org/10.1016/j.jdeveco.2019.06.008.
Henderson, J. V., A. Storeygard, and D. N. Weil. 2012. “Measuring economic growth from outer space.” Am. Econ. Rev. 102 (2): 994–1028. https://doi.org/10.1257/aer.102.2.994.
Hochrainer, S. 2009. Assessing the macroeconomic impacts of natural disasters: Are there any? World Bank policy research working paper 4968. Washington, DC: World Bank.
Hodler, R., and P. A. Raschky. 2014. “Regional favoritism.” Q. J. Econ. 129 (2): 995–1033. https://doi.org/10.1093/qje/qju004.
Ishizawa, O. A., J. J. Miranda, and E. Strobl. 2019. “The impact of hurricane strikes on short-term local economic activity: Evidence from nightlight images in the Dominican Republic.” Int. J. Disaster Risk Sci. 10 (3): 362–370. https://doi.org/10.1007/s13753-019-00226-0.
Kamarajugedda, S. A., P. V. Mandapaka, and E. Y. Lo. 2017. “Assessing urban growth dynamics of major Southeast Asian cities using night-time light data.” Int. J. Remote Sens. 38 (21): 6073–6093. https://doi.org/10.1080/01431161.2017.1346846.
Klomp, J. 2016. “Economic development and natural disasters: A satellite data analysis.” Global Environ. Change 36 (Jan): 67–88. https://doi.org/10.1016/j.gloenvcha.2015.11.001.
Kyba, C., S. Garz, H. Kuechly, A. S. De Miguel, J. Zamorano, J. Fischer, and F. Hölker. 2015. “High-resolution imagery of earth at night: New sources, opportunities and challenges.” Remote Sens. 7 (1): 1–23. https://doi.org/10.3390/rs70100001.
Li, X., H. Xu, X. Chen, and C. Li. 2013. “Potential of NPP-VIIRS nighttime light imagery for modeling the regional economy of China.” Remote Sens. 5 (6): 3057–3081. https://doi.org/10.3390/rs5063057.
Liddle, B. 2015. “What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates.” Global Environ. Change 31 (Mar): 62–73. https://doi.org/10.1016/j.gloenvcha.2014.10.016.
Loayza, N. V., E. Olaberria, J. Rigolini, and L. Christiaensen. 2012. “Natural disasters and growth: Going beyond the averages.” World Dev. 40 (7): 1317–1336. https://doi.org/10.1016/j.worlddev.2012.03.002.
MacKinnon, J. 1989. “Heteroskedasticity-robust tests for structural change.” Empirical Econ. 14 (2): 77–92. https://doi.org/10.1007/BF01980588.
Marin, A., Ö. Bodin, S. Gelcich, and B. Crona. 2015. “Social capital in post-disaster recovery trajectories: Insights from a longitudinal study of tsunami-impacted small-scale fisher organizations in Chile.” Global Environ. Change 35 (Nov): 450–462.
Miranda, J. J., O. A. Ishizawa, and H. Zhang. 2020. “Understanding the impact dynamics of windstorms on short-term economic activity from night lights in Central America.” Econ. Disasters Clim. Change 4 (3): 657–698. https://doi.org/10.1007/s41885-020-00068-x.
Mohan, P., and E. Strobl. 2017. “The short-term economic impact of tropical Cyclone Pam: An analysis using VIIRS nightlight satellite imagery.” Int. J. Remote Sens. 38 (21): 5992–6006. https://doi.org/10.1080/01431161.2017.1323288.
Mveyange, A. 2015. Night lights and regional income inequality in Africa (No. 2015/085). Tokyo: United Nations Univ.
Nguyen, C. N., and I. Noy. 2020. “Measuring the impact of insurance on urban earthquake recovery using nightlights.” J. Econ. Geogr. 20 (3): 857–877. https://doi.org/10.1093/jeg/lbz033.
Noor, A. M., V. A. Alegana, P. W. Gething, A. J. Tatem, and R. W. Snow. 2008. “Using remotely sensed night-time light as a proxy for poverty in Africa.” Popul. Health Metrics 6 (1): 5. https://doi.org/10.1186/1478-7954-6-5.
Noy, I. 2009. “The macroeconomic consequences of disasters.” J. Dev. Econ. 88 (2): 221–231. https://doi.org/10.1016/j.jdeveco.2008.02.005.
Panwar, V., and S. Sen. 2019. “Economic impact of natural disasters: An empirical re-examination.” Margin: J. Appl. Econ. Res. 13 (1): 109–139. https://doi.org/10.1177/0973801018800087.
Pinkovskiy, M., and X. Sala-i-Martin. 2014. Lights, camera,… income!: Estimating poverty using national accounts, survey means, and lights (No. w19831). Washington, DC: National Bureau of Economic Research.
Proville, J., D. Zavala-Araiza, and G. Wagner. 2017. “Night-time lights: A global, long term look at links to socio-economic trends.” PloS One 12 (3): e0174610. https://doi.org/10.1371/journal.pone.0174610.
Qiang, Y., Q. Huang, and J. Xu. 2020. “Observing community resilience from space: Using nighttime lights to model economic disturbance and recovery pattern in natural disaster.” Sustainable Cities Soc. 57 (Jun): 102115. https://doi.org/10.1016/j.scs.2020.102115.
Raddatz, C. 2009. The wrath of God: Macroeconomic costs of natural disasters. Washington, DC: World Bank.
Raschky, P. A., and M. Schwindt. 2012. “On the channel and type of aid: The case of international disaster assistance.” Eur. J. Political Econ. 28 (1): 119–131. https://doi.org/10.1016/j.ejpoleco.2011.07.001.
Romero-Avila, D. 2009. “Multiple breaks, terms of trade shocks and the unit-root hypothesis for African per capita real GDP.” World Dev. 37 (6): 1051–1068.
Shabnam, N. 2014. “Natural disasters and economic growth: A review.” Int. J. Disaster Risk Sci. 5 (2): 157–163. https://doi.org/10.1007/s13753-014-0022-5.
Skidmore, M., and H. Toya. 2002. “Do natural disasters promote long-run growth?” Econ. Inq. 40 (4): 664–687. https://doi.org/10.1093/ei/40.4.664.
Skoufias, E., E. Strobl, and T. B. Tveit. 2020. “Flood and tsunami damage indices based on remotely sensed data: An application to Indonesia.” Nat. Hazards Rev. 21 (4): 04020042. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000325.
Skoufias, E., E. Strobl, and T. B. Tveit. 2021. “Can we rely on VIIRS nightlights to estimate the short-term impacts of natural hazards?” Geomatics Nat. Hazards Risk 12 (1): 381–404. https://doi.org/10.1080/19475705.2021.1879943.
Stevens, F. R., A. E. Gaughan, C. Linard, and A. J. Tatem. 2015. “Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data.” PLoS One 10 (2): e0107042. https://doi.org/10.1371/journal.pone.0107042.
Strömberg, D. 2007. “Natural disasters, economic development, and humanitarian aid.” J. Econ. Perspectives 21 (3): 199–222. https://doi.org/10.1257/jep.21.3.199.
Sutton, P. C., C. D. Elvidge, and T. Ghosh. 2007. “Estimation of gross domestic product at sub-national scales using nighttime satellite imagery.” Int. J. Ecol. Econ. Stat. 8 (7): 5–21.
Weidmann, N. B., and S. Schutte. 2017. “Using night light emissions for the prediction of local wealth.” J. Peace Res. 54 (2): 125–140. https://doi.org/10.1177/0022343316630359.
World Bank. 2017. South Asia economic focus, fall 2017: Growth out of the blue. Washington, DC: World Bank.
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Received: Apr 7, 2021
Accepted: Sep 19, 2021
Published online: Dec 17, 2021
Published in print: May 1, 2022
Discussion open until: May 17, 2022
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