Case Study: US Leasing Policy

This case study by the Stockholm Environment Institute analyzes the potential impact of stopping new fossil fuel extraction leases on U.S. federal lands and waters to reduce global carbon dioxide emissions.

• Ceasing the issuance of new leases for fossil fuel extraction on federal lands and waters in the United States could lead to an annual reduction in global carbon dioxide emissions of approximately 280 million tons by the year 2030. This impact is described as being comparable to other major climate policies considered or implemented by the Obama administration.
• The authors argue that because avoiding dangerous climate change requires a rapid transition away from fossil fuels—with some estimates suggesting production and consumption of oil and coal must end almost entirely within 50 years—nations should consider policies that constrain fossil fuel supply alongside demand-reduction measures.
• While the authors state that supply-constraining measures were not viable under the Trump administration, they suggest such policies should be considered by other countries, subnational entities within the US, or future US administrations.

APA

Stockholm Environment Institute (2018). Case Study: US Leasing Policy. https://www.sei.org/publications/case-study-us-leasing-policy/

Chicago

Stockholm Environment Institute. Case Study: US Leasing Policy. 2018. https://www.sei.org/publications/case-study-us-leasing-policy/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=Case Study: US Leasing Policy |date=21 February 2018 |url=https://www.sei.org/publications/case-study-us-leasing-policy/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2018case, author = {{Stockholm Environment Institute}}, title = {{Case Study: US Leasing Policy}}, institution = {Stockholm Environment Institute}, year = {2018}, month = feb, url = {https://www.sei.org/publications/case-study-us-leasing-policy/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }