Pathways to reduce global plastic waste mismanagement and greenhouse gas emissions by 2050

• 成果类型: Article
• 署名作者: Pottinger, A. Samuel; Geyer, Roland; Biyani, Nivedita; Martinez, Ciera C.; Nathan, Neil; Morse, Molly R.; Liu, Chao; Hu, Shanying; de Bruyn, Magali; Boettiger, Carl; Baker, Elijah; Mccauley, Douglas J.
• 署名单位: University of California System; University of California Berkeley; University of California System; University of California Berkeley; University of California System; University of California Santa Barbara; University of California System; University of California Santa Barbara; Tsinghua University; University of California System; University of California Santa Barbara
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-12417
• DOI: 10.1126/science.adr3837
• 发表日期: 2024-12-06
• 页码: 1168-1173
• 关键词: treaty; address; LESSONS; tax

摘要

Plastic production and plastic pollution have a negative effect on our environment, environmental justice, and climate change. Using detailed global and regional plastics datasets coupled with socioeconomic data, we employ machine learning to predict that, without intervention, annual mismanaged plastic waste will nearly double to 121 million metric tonnes (Mt) [100 to 139 Mt 95% confidence interval] by 2050. Annual greenhouse gas emissions from the plastic system are projected to grow by 37% to 3.35 billion tonnes CO2 equivalent (3.09 to 3.54) over the same period. The United Nations plastic pollution treaty presents an opportunity to reshape these outcomes. We simulate eight candidate treaty policies and find that just four could together reduce mismanaged plastic waste by 91% (86 to 98%) and gross plastic-related greenhouse gas emissions by one-third.