One of the most pressing questions in economics is “why are some countries richer than others?” One methodology designed to help answer the question is known as “Development Accounting,” a framework that organizes the determinants of income into two categories: differences in inputs and differences in efficiency. The objective of our work is to study to what extent differences in the levels of pollution can help explain income differences across countries. To do this, we adjusted a factor-only model to allow us to enter PM2.5, a measure of pollution that tracks the concentration of fine particulate matter in the air and looked to see if the model’s predictive power improved. We ultimately find that we can improve the model’s success in predicting GDP by .5 - 6%. Thus, pollution is unlikely to be a major force in understanding cross-country income differences, but it can be used with other economic factors to potentially magnify its impact with other additions in the future.

Countries such as Haiti—where corruption, violence, and extreme poverty hinder economic growth and recovery— require multifaceted, interdisciplinary solutions. The United States, along with much of the western world, has a flawed understanding of foreign aid. Though current humanitarian efforts have effectively improved the lives of millions of Haitians, they fail to address the systemic roots of Haiti’s issues. Likewise, some efforts have been counterproductive or even harmful. If the US wishes to assist Haiti (and similar developing countries for that matter) in its journey to restoring the rule of law, reducing corruption, and empowering its citizens, it must collaborate with Haitian leaders and prioritize socioeconomic policy programs.