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Louisiana EPA conflict of interest

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Facing a pivotal federal investigation into Louisiana’s relationship with petro-chemical companies, the state’s attorney general hired lawyers who were simultaneously representing one of the main corporations at the center of the investigation, documents reveal.

The revelations, contained in documents released under public records requests, have led to allegations of a major conflict of interest and come just weeks after the Environmental Protection Agency [EPA] dropped its civil rights investigation.

Internal emails, contracts and payments, show that the office of the attorney general, Jeff Landry, hired two lawyers to enter closed-door negotiations with the EPA during the 14-month civil rights investigation. But John King and Tim Hardy were also representing the Taiwanese chemicals firm Formosa in separate litigation, challenging a decision to revoke the company’s state air permits. (Moran and Sneath 2023).

Formosa's "bidding war" between Texas and Louisiana

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In the 1980s, Formosa Plastics Corporation purchased financially struggling petrochemical plants in Delaware, Texas, and Louisiana. The company subsequently shifted its operations to Texas and Louisiana, where a competitive bidding process ensued between the two states, both of which were known for industry-friendly policies (Tubilewicz 2021). As political scientist Tubilewicz (2021, 16) has argued, the politics surrounding Formosa's investments in these states were not purely motivated by profit but were also shaped by the ongoing struggles of sub-state actors such as politicians and NGOs over issues of internationalization and representation in global affairs.

An example of this can be seen in Formosa's attempt to build a rayon fiber plant in Louisiana's St. John Parish in the late 1990s, an area also known as "Cancer Alley." Protests broke out due to concerns about massive tax exemptions, displacement of Black residents, and the plant's location on the historic Whitney Plantation (Tubilewicz 2021, 11). However, the project was eventually abandoned due to declining market demand and delays. In addition, the local St. John Governor was indicted for illegal industrial rezoning of land around the plantation and receiving $200,000 in real estate commission (Tubilewicz 2021, 11).

What steps does a user need to take to produce analytically sharp or provocative data visualizations with this data resource?

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The UI for the portal is straightforward and easy to use and also doubles as a GIS. Through the advanced search function users can use either the criteria or filter tabs to narrow their searches to specific sites. For example when you narrow down the search to RMP facilities only you can quickly pinpoint all of these facilities on a map of an area to show how burdened an area may be with these types of facilities.

What data visualizations illustrate how this data set can be leveraged to characterize environmental injustice in different sett

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The data can very quickly show you how many facilities a geographical area may have. This can allow users to see how burdened a neighborhood for example may be with specific facilities.

What visualizations can be produced with this data resource and what can they be used to demonstrate?

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One of the only data visualizations this site offers is plotting down pinpoints on a map showing individual facilities. If there is more than one site in a certain geographical area then it will group the sites together and provide a circle for where the sites are contained with the number of sites listed on the circle. This makes this data resource not super flexible in ways it can display information. However this is a helpful visualization as it can quickly show you how many specific facilities a certain location may have

 

You can also generate simple graphs with the data that displays the amounts of certain facilities throughout the state. This is a good tool for tracking all regulated facilities which can help users address Ej on a statewide scale.

What can be demonstrated or interpreted with this data set?

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What this lacks in visualizations it makes up for drastically in easy to use UI and for creating one location for all of the state's facility data. By using its advanced search tool users can quickly find a plethora of data on extremely specific sites. This tool will show when the facilities had their most recent evaluations and whether or not there were violations, rough estimates on onsite stored chemicals, which regulatory programs they are a part of, CalEnviroScreen percentile ranges, and a contact list for facility employees.

How scales (county, regional, neighborhood, census tract) can be seen through this data resource?

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This data resource can scale from the state level down to the census tract in terms of facility locations. For data visuals it groups sites together so you can not get a comprehensive visualization of regulated sites beyond the neighborhood and census tract level.