Model Code and Data for "Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States"
Cite this dataset:
Zhong, Jia; Khanna, Madhu (2022): Model Code and Data for "Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6803176_V1
Use this persistent URL to link to this dataset:
Dataset Description

This dataset contains model code (including input data) to replicate the outcomes for "Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States".

The model consists of:
(1) The replication codes and data for the model. To run the model, using GAMS to run the "Models.gms" file.
Subject Life Sciences
Keywords Renewable Fuel Standard; Nested structure; cellulosic waiver credit; RIN
License CC BY
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Corresponding Creator Madhu Khanna
Downloaded 96 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-6803176_V1 2022-09-16
Open in Globus File Manager what's this?
1.06 KB File
15.7 KB File

Contact the Research Data Service for help interpreting this log.

update: {"nested_updated_at"=>[nil, Thu, 03 Nov 2022 23:40:14.225163000 UTC +00:00]} 2024-01-03T18:24:06Z