Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports

TL;DR

This paper employs text mining on thousands of environmental compliance reports to uncover the underlying mechanisms of environmental violations in Pennsylvania's unconventional oil and gas industry.

Contribution

It introduces a novel application of word embedding techniques to analyze environmental violation reports, providing insights into violation patterns and causes.

Findings

Identified key factors associated with violations

Revealed temporal trends in violations

Enhanced understanding of violation mechanisms

Abstract

With the booming of the unconventional oil and gas industry, its inevitable damage to the environment and human health has attracted public attention. We applied text mining on a total 6057 the type of Environmental Health and Safety compliance reports from 2008 to 2018 lunched by the Department of Environmental Protection in Pennsylvania, USA, to discover the intern mechanism of environmental violations.