2018
DOI: 10.1371/journal.pone.0203167
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Does California’s Low Carbon Fuel Standards reduce carbon dioxide emissions?

Abstract: 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 aro… Show more

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Cited by 9 publications
(4 citation statements)
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References 44 publications
(80 reference statements)
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“…In addition to turning conflicts, some researchers have also studied the relationship between vehicle emissions and traffic delay in urban areas [ 36 , 37 ]. In China, a total of 56 large and medium-sized cities, including 17 provincial capitals, have adopted vehicle restriction policies due to traffic congestion, vehicle energy conservation and emission reduction, which covers the majority of developed cities in China.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to turning conflicts, some researchers have also studied the relationship between vehicle emissions and traffic delay in urban areas [ 36 , 37 ]. In China, a total of 56 large and medium-sized cities, including 17 provincial capitals, have adopted vehicle restriction policies due to traffic congestion, vehicle energy conservation and emission reduction, which covers the majority of developed cities in China.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a global change to the fuel standards is required to enable the use of oxygenated fuels that could contribute towards the low-carbon fuel options for the decarbonisation targets to be more easily met. 81–83 In this study we have shown that the selected properties can be met by certain blends, but there are additional physical property limits that must be met for a fuel to be certified. These include oxidative stability, copper corrosion, and lubricity.…”
Section: Discussion Of Future Fuel Standardsmentioning
confidence: 88%
“…Only 1.5 % of the transport and building ML literature investigates policies (26 and 18 studies respectively). These include ex-post evaluation of fuel standard policies relying on statistical learning techniques (Huseynov & Palma, 2018), and the application of Bayesian networks to investigate how different financing mechanisms would affect willingness to retrofit (Bertone et al, 2018). For the uptake of improved technologies, policies are crucial to signal and incentivize shifts.…”
Section: Optimizing Existing Infrastructure With ML Is Insufficientmentioning
confidence: 99%