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Predictors of Business Return in New Orleans after Hurricane Katrina

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  • Nina S N Lam
  • Helbert Arenas
  • Kelley Pace
  • James LeSage
  • Richard Campanella

Abstract

We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster.

Suggested Citation

  • Nina S N Lam & Helbert Arenas & Kelley Pace & James LeSage & Richard Campanella, 2012. "Predictors of Business Return in New Orleans after Hurricane Katrina," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-8, October.
  • Handle: RePEc:plo:pone00:0047935
    DOI: 10.1371/journal.pone.0047935
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    References listed on IDEAS

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    1. James P. LeSage & R. Kelley Pace & Nina Lam & Richard Campanella & Xingjian Liu, 2011. "New Orleans business recovery in the aftermath of Hurricane Katrina," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 1007-1027, October.
    2. Nina S N Lam & Kelley Pace & Richard Campanella & James LeSage & Helbert Arenas, 2009. "Business Return in New Orleans: Decision Making Amid Post-Katrina Uncertainty," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-10, August.
    3. Mark Skidmore & Hideki Toya, 2002. "Do Natural Disasters Promote Long-Run Growth?," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 664-687, October.
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    Cited by:

    1. Sandra Sydnor & Linda Niehm & Yoon Lee & Maria Marshall & Holly Schrank, 2017. "Analysis of post-disaster damage and disruptive impacts on the operating status of small businesses after Hurricane Katrina," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1637-1663, February.
    2. Lifang Huang & Lin Wang & Jie Song, 2018. "Post-Disaster Business Recovery and Sustainable Development: A Study of 2008 Wenchuan Earthquake," Sustainability, MDPI, vol. 10(3), pages 1-22, February.
    3. Maria I. Marshall & Holly L. Schrank, 2020. "Sink or Swim? Impacts of Management Strategies on Small Business Survival and Recovery," Sustainability, MDPI, vol. 12(15), pages 1-21, August.
    4. Bei Yan & Feng Mai & Chaojiang Wu & Rui Chen & Xiaolin Li, 2024. "A Computational Framework for Understanding Firm Communication During Disasters," Information Systems Research, INFORMS, vol. 35(2), pages 590-608, June.
    5. Maria Marshall & Linda Niehm & Sandra Sydnor & Holly Schrank, 2015. "Predicting small business demise after a natural disaster: an analysis of pre-existing conditions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 331-354, October.
    6. Fan Li & Lin Wang & Zhigang Jin & Lifang Huang & Bo Xia, 2020. "Key factors affecting sustained business operations after an earthquake: a case study from New Beichuan, China, 2013–2017," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 101-121, October.
    7. Beth Tellman & Cody Schank & Bessie Schwarz & Peter D. Howe & Alex de Sherbinin, 2020. "Using Disaster Outcomes to Validate Components of Social Vulnerability to Floods: Flood Deaths and Property Damage across the USA," Sustainability, MDPI, vol. 12(15), pages 1-28, July.

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