UT Study Reveals Best Way to Encourage Environmental Gains in Oil and Gas
October 8, 2024 — Some new research from The University of Texas at Austin highlights the powerful — and sometimes counterproductive — role that very strict regulatory standards and stakeholder pressure can play in driving environmental improvements within the oil and gas industry. The certified market, a place where only firms who meet environmental criteria can sell gas (at a premium price), had the biggest single impact on environmental outcomes in the oil and gas industry.
The energy industry, particularly oil and gas companies, is under increasing pressure to decarbonize due to the increase in extreme weather events associated with climate change. Some of these companies have begun to voluntarily reduce their greenhouse gas footprint, motivated by social responsibility, pressure from activists, market opportunities or simply copying efforts of peer firms.
According to UT, the study, produced by researchers from both the LBJ School and Cockrell School, reveals that “while firms can respond to external pressure by making changes that enhance environmental performance, the nature and type of pressure significantly impact the outcomes. Not all activist efforts yield the same results, even when operating under similar financial constraints, and markets with very high barriers to entry may unintentionally hinder progress. These findings emphasize the need for strategic, well-targeted actions to ensure lasting environmental benefits at both the firm and industry levels.
“Some firms have begun to address the issue of natural gas flaring– whether out of a sense of social responsibility, fear of environmental activists, search for new market opportunities, or an impulse to mimic peer firms,” said LBJ School professor and a study co-author Varun Rai. “However, studying such complex drivers in real-world settings and with highly detailed market and resource data is challenging. To address that, in this paper we formulate a general framework that captures each of these factors, apply it to build an empirically-grounded model, and provide insights into the distribution of outcomes in the oil and gas industry’s flaring performance in the US.”
“Researchers developed an agent-based model—an increasingly important computational modeling technique in the AI era that relies on resolving the components of a system rather than specifying its aggregate dynamics—to simulate the decision-making processes of energy firms…