A Time Series Correlation Analysis Using the Keeling Curve as an Alternative Evaluation Method for C...

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" A Time Series Correlation Analysis Using the Keeling Curve as an Alternative Evaluation Method for Carbon Emission Modeling "
Lu, Xingyu

Document Type	:	AL
Record Number	:	918763
Doc. No	:	LA5ww2k8fk
Title & Author	:	A Time Series Correlation Analysis Using the Keeling Curve as an Alternative Evaluation Method for Carbon Emission Modeling [Article]\ Lu, Xingyu
Date	:	2017
Title of Periodical	:	UC San Diego
Abstract	:	This study uses atmospheric CO2 concentration data (the Keeling Curve) as an alternative measurement of anthropogenic carbon emissions to test the relationship between environmental pressure and economic development. Using verified detrending procedures, no significant relationship is observed between global population growth and increases in atmospheric carbon concentration. Changes in world GDP, however, have a significant effect on CO2 concentration in the atmosphere. GDP per capita is also a strong indicator of the Keeling Curve. The use of the affluence level, GDP per capita, correlates to the environmental impact when the environmental pressure is altered to atmospheric CO2 concentration, even though population does not correlate with the Keeling Curve.