Document Type
Thesis
First Faculty Advisor
Laura Beaudin
Second Faculty Advisor
Allison Kaminaga
Keywords
renewable energy; environmental quality; development levels; pollution; regression
Publisher
Bryant University
Rights Management
CC-BY-NC-ND; CC-BY; CC-BY-SA; CC-BY-ND; CC-BY-NC-SA; CC-BY-NC
Abstract
This paper uses linear regression to analyze the relationship between renewable energy and environmental quality in both developed and developing countries. Developed nations often have stricter regulations and lower pollution levels, while developing nations prioritize economic growth, leading to rising pollution. Using data from the World Bank, World Health Organization, the Organization for Economic Co-operation and Development, and the International Monetary Fund, this research aims to identify how renewable energy consumption in these contrasting contexts impact environmental outcomes. The analysis explores the effectiveness of various environmental conditions, using regression analysis to assess the impact of renewable energy on air pollution. The findings on this thesis will be of great help by understanding how a nation's development stage influences the effectiveness of this, making it easier to design better strategies for a sustainable future.
Comments
This is a thesis created for the Bryant University Honors Program. The work analyzes the impact of renewable energy consumption on environmental quality, specifically comparing developed and developing countries, and was created for academic purposes to contribute to the understanding of sustainable development and inform policymaking.