Department of Agricultural Economics, Texas A&M University, College Station, Texas, United States of America.
PLoS One. 2018 Sep 17;13(9):e0203167. doi: 10.1371/journal.pone.0203167. eCollection 2018.
The Low Carbon Fuel Standards (LCFS) represents a new policy approach designed to reduce carbon dioxide emissions by applying standards to all stages of motor fuel production. We use the synthetic control and difference-in-differences econometric methods, and Lasso machine learning to analyze the effect of the LCFS on emissions in California's transportation sector. The three different techniques provide robust evidence that the LCFS reduced carbon dioxide emissions in California's transportation sector by around 10%. Furthermore, our calculations show that improved air quality, due to the application of the LCFS, may have benefited California in the magnitude of hundreds of millions of dollars through an increase in worker's productivity.
低碳燃料标准（LCFS）代表了一种新的政策方法，旨在通过对燃料生产的所有阶段应用标准来减少二氧化碳排放。我们使用合成控制和差分差异计量经济学方法以及套索机器学习来分析 LCFS 对加利福尼亚州交通部门排放的影响。这三种不同的技术提供了有力的证据，表明 LCFS 将加利福尼亚州交通部门的二氧化碳排放量减少了约 10％。此外，我们的计算表明，由于实施了 LCFS，空气质量的改善可能通过提高工人的生产力使加利福尼亚州受益数亿美元。
