Answering How GDP and Population affect CO2 Emissions Around the World
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Research Study |
AbstractClimate change is happening all around the globe and affects all of us constantly. It is defined by a change in climate patterns, highly attributed to carbon dioxide emissions being released into the atmosphere. This is produced by the burning of fossil fuels as well as other commercial uses and productions. This is a problem because it is making out planet un sustainable as well as the effects of a warming atmosphere will be irreversible. The goal of this study is to look at how two variables (GDP and population) have a cohesive impact on CO2 emissions. A regression analysis was done and from this, future CO2 emissions can be predicted. Ten countries were used in this study and gathered from each was CO2 emissions, population, and GDP per capita. Based on the results, it can now be concluded that GDP and population together have a significance in current and predicted CO2 emissions, as well as they can be measured uncoincidentally (p<0.05).
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Climate ChangeWhat is Climate Change?Climate change global issue defined by a change in climate patterns,
highly attributed to Carbon Dioxide emissions being released into the atmosphere produced by burning of fossil fuels. The drastic climate and weather changes are often a direct result of the rise in the atmospheric temperature. |
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This study is looking at climate change, specifically CO2 emissions around the world. Specifically, by comparing the variables of population and GDP (Gross Domestic Product) in different countries. The purpose of this is to see the relationships between each variable individually, as well as how they affect the problem combined.
The purpose of this study is to have a better understanding of how regression analysis is used to compare variables as well as see how future predictions of CO2 emissions may be impacted by a rise in population combined with GDP. Previous studies have looked into population as a variable in CO2 emissions but not at how multiple variables can cohesively show results in per country CO2 emissions. This is helpful because the comparison of the variables and their relationships could help predict future CO2 emissions, as countries show an increase or decrease in residents as well as economic level. |