Background
Over the past 3 weeks we have been looking at different environmental data in different locations around the world in order to analyze the Capitalocene. In general, the Capitalocene analyzes how as countries become more economically advanced the worse their effect on the environment is. In our first lab we use EPI and World bank data to compare income level with region their environmental impact. Graphing this data showed us that less developed and poorer countries tended to have a worse EPI level. Our second lab we wanted to look at more factors that contribute to the Capitalocene to potentially see further correlation, and then map these findings on to ARCGIS. From this lab I actually found that more developed countries, especially in Europe, actually had a worse pollution score compared to less developed countries. Look at this specific data mapped it was clear we needed to further look at Capitalocene data to make a clear connection. So, for our third lab we analyzed world values survey v.s income level. We specifically looked at citizens responses to Economic development v.s Environmental protection, by finding a hypothesis and a p value based on our data, we proved that the lower the countries income the higher they’ll prioritize economic growth over environmental protection. All these labs helped us analyze the ideas of the Capitalocene and how the world’s current environmental data correlates.
For this final Capitalocene lab we shifted our focus to EJ, environmental justice. The U.S EPA defines environmental justice as ““the fair treatment and meaningful involvement [emph. added] of all people regardless of race, color, national origin, or income with respect to the development, implementation and enforcement of environmental laws, regulations and policies”. We analyzed this data while relating it to the Capitalocene by looking at race v.s class, specifically we wanted to look at environmental injustice having to do with toxicities. We also utilized multiple Portland Air Toxicity Reports (PATS) in order to look at pollution that affects the Portland area. We specifically focused on polycyclic aromatic hydrocarbons, which is pollution from wood combustion. We chose this because based on PATS report, this is the pollutant they were most worried about. We did this in order to see spacial coincidences with waste and race/class. While it may connect to the Capitalocene in some ways, some issues with analyzing this type of data is that spatial correlation may not imply causation. We will further talk about factors that might affect our data when we discuss our maps.
Procedure
We first began this lab by importing data from ACS and PATS. The PATS data, like i mentioned above, is from the Portland Air Toxics Solutions, a database that gathers information on toxic air pollutants in Portland. The ACS data is a census community survey that regularly gathers information on different demographics. We utilized the information about the toxin PAH15, or Poly Aromatic Hydrocarbons. This toxin is an outcome from wood combustion and we used it because it is the pollutant PATS is most concerned about. The ACS data gave us information on income level and race demographics from citizens in Portland. We were able to manipulate this data by combining income over $100,000 to make a high income group and combining low income (under $50,000) groups. Additionally we combined the black and hispanic groups to create a minority race group to compare to the residence location of white citizens.
Results:
Toxicity level of wood combustion based on race –


Toxicity v.s Income ( x < 49,000)

Toxicity v.s Income (100,000 ≤ x ≤ 200,000)

Heat Map of Toxicity levels for wood combustion pollutant

From our maps we can start to see some correlation between class and race v.s toxicity levels in an area. EJ focuses more on race when looking at environmental justice and injustices. We chose to look at it from multiple angles as to really flush out a true correlation or conclusion. As you can see from our two income level maps, lower income areas and residents are more central to these toxicities compared to higher income. This same thing is true if you compare our white residents map to our black and hispanic map, there are more concentrated areas of black and hispanic residents where the toxins are more concentrated. While this might point out environmental injustices in Portland as well as the Capitalocene, which I will discuss below, it is important to recognize other factors. Some of these being geographic influences as where more concentrated populations live are going to have more toxins as well as non-human used areas. Overall, it is important not to generalize when looking at smaller pieces of data as you don’t always have to come to an immediate and clear solution.
Discussion:
Based on our mapping, the high income group seems to reside farther outside the city, which is farther away from these toxins. We found one exception on the map which is a cluster in the center of the city which also happens to be an expensive place to live. A lot of the low income group resides not in the center of the city but also not on the far out cleaner suburban areas. The minority residents seemed to be living in closer proximity to the city in higher toxin areas. Compared to white residents who are settled on the outside of the city in lower population areas illustrating an even larger divide between white residents and black and hispanic ones.
We only have demographics on these residents and not where they are employed. This factor could affect the ACS groups as proximity to work is an important factor to where you live. This is a limitation of what our data allows us to look at. Our results seem to indicate that minority and low income groups are more exposed to air pollutants and toxins. I believe it would be interesting to look at low income minority groups and low income white groups to see if race is important or if it depends mostly on the income level. This would be especially interesting having to do with EJ because it would allow us to really look at environmental injustices specifically with race. This further showed us how the Capitolscene affects the environmental as we look at specific environmental factors and how different groups are affected by industrialization. I think it would also be interesting to see if minorities make up the majority of the low income sections.
Featured Image: Courtesy Ricardo Levins Morales