Winners and losers
Analysing Post-Disaster Spatial Economic Demand Shift
Bibliographic Data
| ID | 3897675 |
|---|---|
| Authors | Yu Xiao (0000-0002-4998-5213, Texas A&M University), Uttara Nilawar (Texoma Council of Governments) |
| Year | 2013 |
| Volume | 37 |
| Issue | 4 |
| Pages | 646-668 |
| Publication date | 2013-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Disasters (JOURNAL) |
| Journal identifiers | ISSN: 0361-3666 • E-ISSN: 1467-7717 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/disa.12025 |
| PMID | 24007522 |
| OpenAlex | W2124040175 |
| Language | EN |
| Citations received | 21 |
| References cited | 29 |
Disasters produce winners and losers. This paper evaluates such winners and losers in a spatial context. The hypothesis is that, because of severe damage to the core disaster area and the constraints associated with the cost of transportation, economic demand would shift to the immediate edge of the disaster zone where either minor or no damage is observed. Empirical analysis of growth patterns in counties/parishes in the states of Alabama, Louisiana, and Mississippi in the United States after Hurricane Katrina (August 2005) verified the spatial demand shift hypothesis. The study found that the post-Katrina core disaster area became a 'doughnut hole' of low income and employment growth, surrounded by a ring of high growth counties/parishes on the edge of the hole. The short-run adjustment in growth rates may have altered permanently the spatial distribution of employment and income both at the core and in the areas at the edge
Archaeology · Context (archaeology · Core (optical fiber · Demographic economics · Economic geography · Economics · Enhanced Data Rates for GSM Evolution · Environmental health · Geography · Hurricane katrina · Natural disaster · Poison control · Climate Change, Adaptation, Migration · Disaster Management and Resilience · Engineering · Facility Location and Emergency Management
Filling the blindspots
A tale of two counties in the wake of the 2017 hurricane season
Characterizing relationship between demand surge and post-disaster reconstruction capacity considering poverty rates
Continuity of small businesses when facing increased flood risk due to global climate change impacts
Framework for modeling multi-sector business closure length in earthquake-struck regions
The economic aftermath of Hurricanes Harvey and Irma
Methods and lessons for business resilience and recovery surveys
Business recovery from disasters
Importance of Households in Business Disaster Recovery
Firm heterogeneity and regional economic recovery from environmental shocks
Disaster Assistance Winners and Losers
Localized commercial effects from natural disasters
Impact of the Great East Japan Earthquake on the Employment Status and Mental Health Conditions of Affected Coastal Communities
Earthquake-induced transportation disruption and economic performance
The Role of SBA Loans in Small Business Survival after Disaster Events
The economic impact of weather anomalies
Construction of the Scale-Specific Resilience Index to Facilitate Multiscale Decision Making in Disaster Management
Community reconstruction orientation by victims of the disaster of a post-monsoon flood in Malaysia
Wealth Inequality in the Long Run
Business recovery
Reopening businesses after Hurricane Harvey
Do Natural Disasters Promote Long‐run Growth?
Assessing Community Impacts of Natural Disasters
Businesses and Disasters
Political Economy of Large Natural Disasters
The unemployment impact of the 1993 US midwest flood
Predicting long-term business recovery from disaster
Disasters and transport systems
Natural Hazard Mitigation
Flooding and the Midwest economy
Rebounding from disruptive events
After the Clean-Up
Urban disaster recovery
The Economic Aftermath of Hurricane Katrina
Economic Lessons of the Kobe Earthquake
Business closure and relocation
Vulnerability of community businesses to environmental disasters
| Unique citing works | 21 |
|---|---|
| Citations per year | 2,63 |
| Citation span | 2018 - 2026 (9) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 21 |