**Strengthening government support to help Tanzanian firms cope and recover from shocks.** About 87 percent of firms report that they have not received any financial support in the aftermath of a disaster, and only 1 percent of firms report having received insurance payouts for damaged buildings, pointing to the potential of a larger role for governments in ensuring private sector resilience to disasters. With limited options for firms to absorb losses and rebuild from disasters, governments can improve access to insurance to help firms cope with disaster losses with a mix of subsidies and regulations. Governments can also support firms to develop business continuity plans to improve overall disaster preparedness.

Complementing existing household survey-based analyses, this new Tanzanian firm survey yields detailed insights on the direct and indirect firm-level costs of natural hazards, along with firms’ decision-making factors to deal with increasing extreme events. More research on firm-level effects of natural hazards is called for to better target policy interventions towards the needs of firms – and the critical goods, services, and jobs which they provide.

# References

- Acemoglu, D, Carvalho, V M, Ozdaglar, A, and Tahbaz-Salehi, A. 2012. "The Network Origins of Aggregate Fluctuations." _Econometrica_ , 80(5): 1977–2016. https://doi.org/10.3982/ecta9623

- Adams, A V, Johansson da Silva, S, and Razmara, S. 2013. Skills Development in the Informal Sector:

- Tanzania. In _Improving Skills Development in the Informal Sector_ , edited by A Adams, S Johansson da Silva and S Razmara, 239–268. World Bank. https://doi.org/10.1596/9780821399682_ch09

- Asgary, A, Anjum, M I, and Azimi, N. 2012. "Disaster Recovery and Business Continuity After the 2010 Flood in Pakistan: Case of Small Businesses." _International Journal of Disaster Risk Reduction_ , 2(1): 46–56. https://doi.org/10.1016/j.ijdrr.2012.08.001

- Barrot, J-N and Sauvagnat, J. 2016. "Input Specificity and the Propagation of Idiosyncratic Shocks in Production Networks." _The Quarterly Journal of Economics_ , 131(3): 1543–1592.

- Boehm, C E, Flaaen, A, and Pandalai-Nayar, N. 2019. "Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tōhoku Earthquake." _Review of Economics and Statistics_ , 101(1): 60–75. https://doi.org/10.1162/rest_a_00750

- Botzen, W J W, Deschenes, O, and Sanders, M. 2019. "The Economic Impacts of Disasters: A Review of Models and Empirical Studies." _Review of Environmental Economics and Policy_ , 13(2): 167–188. https://doi.org/10.1093/reep/rez004

- Carvalho, V M, Nirei, M, Saito, Y U, and Tahbaz-Salehi, A. 2017. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake." _SSRN Electronic Journal_ . https://doi.org/10.2139/ssrn.2893221

- Cho, S, Gordon, P, Moore II, J E, Richardson, H W, Shinozuka, M, and Chang, S. 2002. "Integrating Transportation Network and Regional Economic Models to Estimate the Costs of a Large Urban Earthquake." _Journal of Regional Science_ , 41(1): 39–65. https://doi.org/10.1111/0022-4146.00206

- Colon, C, Hallegatte, S, and Rozenberg, J. 2019. _Transportation and Supply Chain Resilience in the United Republic of Tanzania_ . World Bank.

- De Mel, S, McKenzie, D, and Woodruff, C. 2012. "Enterprise Recovery Following Disasters." _The Economic Journal_ , _122_ (559): 64–91. https://doi.org/10.1111/j.1468-0297.2011.02475.x

- Dormady, N, Rose, A, Rosoff, H, and Roa-Henriquez, A. 2017. Estimating the Cost-Effectiveness of Resilience to Disasters: Survey Instrument Design and Refinement of Primary Data. In _Handbook on Resilience of Socio-Technical Systems_ , edited by M Ruth and S G Reisemann. Edward Elgar.

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