Cargando…

Predictors of Business Return in New Orleans after Hurricane Katrina

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, 2...

Descripción completa

Detalles Bibliográficos
Autores principales: Lam, Nina S. N., Arenas, Helbert, Pace, Kelley, LeSage, James, Campanella, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480509/
https://www.ncbi.nlm.nih.gov/pubmed/23133530
http://dx.doi.org/10.1371/journal.pone.0047935
_version_ 1782247580250406912
author Lam, Nina S. N.
Arenas, Helbert
Pace, Kelley
LeSage, James
Campanella, Richard
author_facet Lam, Nina S. N.
Arenas, Helbert
Pace, Kelley
LeSage, James
Campanella, Richard
author_sort Lam, Nina S. N.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3480509
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-34805092012-11-06 Predictors of Business Return in New Orleans after Hurricane Katrina Lam, Nina S. N. Arenas, Helbert Pace, Kelley LeSage, James Campanella, Richard PLoS One Research Article 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. Public Library of Science 2012-10-24 /pmc/articles/PMC3480509/ /pubmed/23133530 http://dx.doi.org/10.1371/journal.pone.0047935 Text en © 2012 Lam et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lam, Nina S. N.
Arenas, Helbert
Pace, Kelley
LeSage, James
Campanella, Richard
Predictors of Business Return in New Orleans after Hurricane Katrina
title Predictors of Business Return in New Orleans after Hurricane Katrina
title_full Predictors of Business Return in New Orleans after Hurricane Katrina
title_fullStr Predictors of Business Return in New Orleans after Hurricane Katrina
title_full_unstemmed Predictors of Business Return in New Orleans after Hurricane Katrina
title_short Predictors of Business Return in New Orleans after Hurricane Katrina
title_sort predictors of business return in new orleans after hurricane katrina
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480509/
https://www.ncbi.nlm.nih.gov/pubmed/23133530
http://dx.doi.org/10.1371/journal.pone.0047935
work_keys_str_mv AT lamninasn predictorsofbusinessreturninneworleansafterhurricanekatrina
AT arenashelbert predictorsofbusinessreturninneworleansafterhurricanekatrina
AT pacekelley predictorsofbusinessreturninneworleansafterhurricanekatrina
AT lesagejames predictorsofbusinessreturninneworleansafterhurricanekatrina
AT campanellarichard predictorsofbusinessreturninneworleansafterhurricanekatrina