COREY SPARKS JOACHIM SINGELMANN MATT MARTINEZ DEPARTMENT OF DEMOGRAPHY THE UNIVERSITY OF TEXAS AT SAN ANTONIO Demographic and economic impacts of the Deep.

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Presentation transcript:

COREY SPARKS JOACHIM SINGELMANN MATT MARTINEZ DEPARTMENT OF DEMOGRAPHY THE UNIVERSITY OF TEXAS AT SAN ANTONIO Demographic and economic impacts of the Deep Water Horizon oil spill on communities of the Gulf Coast

Introduction April 20, 2010 BP’s Deep Water Horizon oil platform explodes, killing 11 workers Over the next few months, oil from the accident washes ashore in five states along the Gulf Coast from Florida to Texas Over 84 days, an estimated 4.9 million barrels of oil were released Over 88 thousand square miles of fisheries (~40% of the Gulf waters) in the Gulf were closed between May and November 2010

Days of Oiling

Fisheries Closures: June 2010

Economic Costs Sumaila et al (2012) project that the fishing industry in the Gulf could loose as much at $8.7 billion, including losses to wages, revenues and profits  Also suggest up to 22,000 jobs could be affected Whitehead et al (2011) have found evidence of mutations to many types of seafood in the wake of the disaster  Suggests long-term impacts to fish themselves Oxford Economics projected that between losses of up to $23 billion to the tourism industry along the Gulf

Effects Visible with Demographic Data?? Given the estimates we have seen so far, are we, as demographers able to measure any of this impact using available data? Best case scenario:  We can measure losses to employment in the areas affected Worst case scenario:  Oil spill was book-ended by hurricanes that have greater demographic impacts  Data for too few post-spill years available to identify demographic impacts

Goals of the Present Study Use data from the American Community Survey summary files and PUMS to measure changes in local economic patterns in the wake of the DWH disaster  Not as easy as it seems 60, ,000+ All

Preliminary Analyses Using ACS 3-Year Estimates for Census Designated places (CDPs)

Using ACS 1 - year PUMS Microdata

Wither long-term impacts? wsj.com Resiliency of the oil and gas industry wsj.com

Wither long-term impacts? Resiliency of the tourism industry Nola.com huffingtonpost.com prweb.com

Conclusions If demographic effects cannot be identified, two conclusions: The oil spill had:  1. only environmental consequences  2. had socio-demographic consequences but they cannot be measured with aggregate data. Anthropologists on the documented job losses and forced migration at household and community level → demographic data not appropriate indicator for identifying socio-demographic effects of oil spills

Acknowledgements Funding Agency :Bureau of Ocean Energy Management Collaborators: University of Arizona – Bureau of Applied Research in Anthropology