Using the Development Accounting methodology specified in Caselli (2004), we investigate the potential of PM2.5, a measure of pollution, as an explanation of cross-country differences in GDP using available Macroeconomic data from the Penn World Table and the WHO. We find that the addition of PM2.5 makes improvements to the model within the expectations of the literature. This adjustment shows promise for use in cooperation with other, more potent economic factors.

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.

The Philippines relies on a vast biodiversity of fishes as a staple food, but like many countries around the globe, experiences severe “leakages” of contaminants and pollutants in the environment. In order to better understand the relationship between environmental pollutants and public health, this research project measured the concentration of pollutants in a commonly consumed local fish (Siganus fuscescens), and then evaluated the potential health risks of eating this fish based on estimated average consumer weight and consumption levels. Fish sampled from four different sites located in Negros Oriental, Philippines were analyzed for organic contaminants using gas chromatography and mass spectroscopy. Pollutants quantified included polycyclic aromatic hydrocarbons (PAHs), pesticides, phthalates, and polychlorinated biphenyl (PCBs). Across the four study sites, fishes from Manjuyod showed the highest frequency of detection of different pollutants. However, phthalates and PAHs were found in similar concentrations in all four sites, with fishes from Dumaguete showing the highest level of PCBs compared to the other sampled sites. The U.S. Environmental Protection Agency’s guide for fish contaminants pinpoints several health risks associated with the chronic ingestion of these contaminants. Based on estimated average body weights of Filipino adult men, adult women, and children, and various consumption levels, people who eat the fish at or above the national average consumption level may be at increased risk for chronic health outcomes, such as cancer and/or other adverse effects. Specifically, due to the high concentration of PCBs in Dumaguete, selected populations who eat local fish from this site may be at higher risk than the citizens who eat the fish from other sites at similar consumption rates. These results can help to inform local and national policies on water quality, waste disposal, and fish consumption advisory programs.

Pollution causes many health problems in the modern world and the desert climates struggle with pollution in unique ways. In the Sonoran Desert, the research was conducted with the purpose of expanding the knowledge of the topic in this area. A literature review was conducted based on air, soil and noise pollution in the region. The Sonoran Desert has high levels of carcinogenic elements along with other pollutants due to the main industries of mining, agriculture and manufacturing. Overall, these findings show people in desert climates deal with high levels of pollutants.

As a result of the increase of pollution related to industrialization in Vietnam, acid rain has become a prevalent issue for Vietnamese farmers who are forced to rinse their crops – risking damage due to overwatering and poor harvest. Thus, the team was motivated to develop a solution to harmful impacts of acidic rainwater by creating a system with the ability to capture rainwater and determine its level of acidity in order to optimize the crop watering process, and promote productive crops. By conducting preliminary research on rainfall and tropical climate in Vietnam, existing products on the market, and pH sensors for monitoring and device material, the team was able to design a number of devices to collect, store, and measure the pH of rainwater. After developing a number of initial design requirements based on the needs of the farmers, a final prototype was developed using the best aspects of each initial design. Tests were conducted with varying structural and aqueous materials to represent a broad range of environmental conditions. While the scope of the project was ultimately limited to prototyping purposes, the principles explored throughout this thesis project can successfully be applied to a fully-functioning production model available for commercial use on Vietnamese farms. Given more time for development, improvements would be made in the extent of materials tested, and the configuration of electronics and data acquisition, in order to further optimize the process of determining rainwater acidity.

High levels of surface ozone pollution have been shown to have adverse effects on human health and our environment. For at least the past decade, ozone concentrations in Phoenix, Arizona have been above the federal health standard, set in place by the Environmental Protection Agency. It is crucial that all factors contributing to rising tropospheric ozone levels within the Phoenix metropolitan area are analyzed to better understand this risk for future mitigation efforts. Consequently, the primary objective of this study is specifically to examine meteorological factors' influence on Phoenix’s ground level ozone by comparing days of ozone exceedances with ozone non-exceedances days over the course of 2010-2020. To carry out this research, various weather conditions for both exceedance and non-exceedance ozone days were studied using unpaired Student’s t-tests and Pearson product-moment correlation tests. The results of this study suggest that the most significant factors that are associated with the occurrence of surface ozone exceedances in Phoenix are wind speed and temperature, whereas the least significant variables are wind direction and sky conditions. This indicates that more stable synoptic conditions in which skies are clearer, allowing for higher temperatures and more stagnant air movement, are ideal for ozone production leading to an ozone exceedance. The results from this honors thesis will be useful as it will aid in greater understanding of the relationship between Phoenix’s surface ozone and weather, aiding future ozone forecasting.