Model Code and Data for "Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States"
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:
|
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 |
353 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-6803176_V1 | 2022-09-16 |
Contact the Research Data Service for help interpreting this log.
| RelatedMaterial | destroy: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1002/jaa2.23", "uri"=>"", "uri_type"=>"", "citation"=>"Zhong, Jia, and Khanna, Madhu. Assessing the efficiency implications of renewable fuel policy design in the United States. Country unknown/Code not available: N. p., 2022. Web. doi:10.1002/jaa2.23.", "dataset_id"=>2372, "selected_type"=>"Article", "datacite_list"=>"", "note"=>nil, "feature"=>nil} | 2025-01-08T23:48:48Z |
| RelatedMaterial | update: {"uri"=>[nil, ""], "uri_type"=>[nil, ""], "datacite_list"=>[nil, ""]} | 2022-09-28T17:36:08Z |