ORCID Identifier(s)


Document Type

Honors Thesis


The factors that lead to carbon dioxide emissions worldwide have been a popular topic for the last 30 years; however, a relatively underexplored topic is the relationship between carbon dioxide emissions and economic growth. This paper attempts to identify what type of relationship exists between carbon dioxide emissions, economic development, and energy consumption. Multiple econometric models, including Ordinary Least Squares (OLS), fixed effects, and a random effects model, were estimated for a panel data set of roughly 100 countries from 1960 through 2016. The results of the models show that there is no correlation between real GDP per capita and annual carbon dioxide emissions. These econometric models also show that the relationship between economic growth and carbon dioxide emissions is diversified due to the difference in regions and the diverse sources of energy that are used in each region.

Publication Date




Faculty Mentor of Honors Project

Christopher Candreva



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