Income, inequality, and criteria air pollutants in the CAMA counties
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Author
Huffer, HillaryDate
2010
Metadata
Show full item recordAbstract
Socioeconomic factors have long been incorporated into environmental research to examine the effects of humandimensions on coastal natural resources. Boyce (1994) proposed that inequality is a cause of environmentaldegradation and the Environmental Kuznets Curve is a proposed relationship that income or GDP per capita isrelated with initial increases in pollution followed by subsequent decreases (Torras and Boyce, 1998). To furtherexamine this relationship within the CAMA counties, the emission of sulfur dioxide and nitrogen oxides, asmeasured by the EPA in terms of tons emitted, the Gini Coefficient, and income per capita were examined for theyear of 1999. A quadratic regression was utilized and the results did not indicate that inequality, as measured by theGini Coefficient, was significantly related to the level of criteria air pollutants within each county. Additionally, the results did not indicate the existence of the Environmental Kuznets Curve. Further analysis of spatial autocorrelation using ArcMap 9.2, found a high level of spatial autocorrelation among pollution emissions indicating that relation to other counties may be more important to the level of sulfur dioxide and nitrogen oxide emissions than income per capita and inequality. Lastly, the paper concludes that further Environmental Kuznets Curve and income inequality analyses in regards to air pollutant levels incorporate spatial patterns as well as other explanatory variables. (PDF contains 4 pages)Conference Name
Shifting Shorelines: Adapting to the Future,The 22nd International Conference of The Coastal SocietyConference Location
Wilmington, North CarolinaConference Date
June 13-16, 2010Resource/Dataset Location
http://nsgl.gso.uri.edu/coastalsociety/TCS22/papers/Huffer_papers.pdfCollections