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.

This research explores the use of transformative urban scenarios and timelines as a planning tool for addressing future sustainability challenges in urban environments. The analysis comes from a set of scenarios that were explored through workshops conducted in 2019 in which Phoenix stakeholders developed timelines toward their visions of Phoenix 60 years into the future. To evaluate the pathways created in these timelines, we employed process tracing methodology to understand which causal mechanisms lead to certain phenomena. Or in other words, it helps us understand how changes happen. We converted the timelines into process tracing diagrams that categorized the relationship between actions, actors, and observable manifestations (OM’s) of change over time. To understand the relationship between these components, we then used a combination of inductive and deductive coding to categorize types of activities, actors, OM’s and sustainability topics and organized them into themes. This helped us to understand how city decision-makers and community leaders think sustainability and resilience transformation can and should occur. This thesis takes a closer look at one particular scenario, Some Like it Hot, which explores resilience to extreme heat. Through coding and analysis, we found trends, correlations, and missing pieces in the participants’ timeline. There are numerous overarching causal mechanisms throughout the scenario timeline. These trends offer insight into which activities and stakeholders are seen as significant drivers of sustainable transformation according to the workshop participants. The file attached is a pdf version of an ArcGIS Story Map completed for this honors thesis. To view the full, interactive thesis deliverable, visit https://storymaps.arcgis.com/stories/14d1e52a9448498e87f20e7566651a13

Since its introduction, the use of technology has been rapidly expanding and has been integrated into almost every aspect of daily life. Alongside this growth, there has been an increasingly urgent movement for sustainability and to fight climate change. Because technology is so prevalent in society today, it is important to understand how the use of technology relates to sustainability and climate change. While technology has been beneficial to society, it requires vast amounts of energy to power, which causes significant environmental degradation. On the other hand, technology also has provided useful in reducing carbon emissions and mitigating the effects of climate change. This can be seen in areas such as efficient transportation and logistics systems and smart cities. Thus, technology has the potential to positively impact the environment, but its negative effects must also be reduced. Technology companies also play a large role in the reduction of carbon emissions, as they provide much of the services and technology that we use today. Companies such as Google, Amazon, and Microsoft have all made commitments to sustainability, and it is important that they are held accountable to these commitments. Additionally, as new technologies emerge, their environmental impact must also be calculated. The findings of this thesis show that the main negative impacts of technology come from its energy use and its life cycle, while the main positive impacts come from its indirect effect on production processes, systems, and industries. In the long-term, these indirect positive effects are expected to increase, but the energy demands of technology will also increase. Therefore, managing the energy demands of technology while also allowing for increased efficiency and reductions in carbon emissions is the main challenge that companies face regarding sustainability.