Chloe Nayeon Cho
Seoul International School
Abstract
This research analyzes the relationship between the democracy level, happiness, and the
environmental factors – air and water pollution. The relationship between democracy, the
environment, and human health is complex; each factor affecting the other. A country’s level of
democracy can significantly impact the environment, with democracies generally having stronger
environmental regulations and more public participation in decision- making. This paper aims to
prove that those indexes are related by using linear regression and analysis. Linear regression is a data
mining method. The primary motivation for using linear regression is to build a model that can
accurately predict the target variable based on the value of the independent variable. The model is
implemented in Python. In the evaluation chapter, there are 8 graphs representing the correlations.
The dataset is from ‘world- air-quality-report,’ ‘world-happiness-report,’ and ‘democracy-index.’ Air
quality seems to have slightly more effects on happiness than the level of water pollution. Both of
them are related to the democracy level. This relationship is explained by the fact that if democracy
levels are better, the environment is healthier. Since the happiness of society is affected by both
democracy and environmental quality, the paper concludes: Higher levels of democracy lead to a
deeper consideration of environmental issues, which in turn increases the overall happiness of
human beings in said society. I will conduct more experiments on the other factors with multi-factor
linear regression related to this research so that a more detailed analysis can be made.
