Using Carbon Tax to Reach the U.S.’s 2050 NDCs Goals—A CGE Model of Firms, Government, and Households
Kejia Yan,
Rakesh Gupta () and
Suneel Maheshwari ()
Additional contact information
Kejia Yan: China Institute for Studies in Energy Policy, School of Management, Xiamen University, Xiamen 361005, China
Suneel Maheshwari: Department of Accounting and IS, Eberly College of Business, Indiana University of Pennsylvania, Indiana, PA 15705, USA
JRFM, 2023, vol. 16, issue 7, 1-30
Abstract:
Our study shows how the United States government can achieve its goal of Nationally Determined Contribution (NDC) in 2025, 2030, and 2050 by reducing energy consumption through a pure carbon tax. To achieve its emissions reduction goals, it is necessary for the U.S. to impose a long-term carbon tax that balances taxes on labour, capital, energy, and carbon. Therefore, in this study, through the two-layer CGE Cobb–Douglas model, the carbon tax rate is set while balancing the production and profit functions of government, businesses, and households. This study concludes that the carbon price will increase from USD 0.4391/kg CO 2 in 2020 to USD 2.5671/kg CO 2 in 2050, when the CO 2 emissions reduction target is increased from 17% reduction in 2020 to 83% reduction in 2050 for the U.S.
Keywords: CO 2; emissions; carbon tax (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1911-8074/16/7/317/pdf (application/pdf)
https://www.mdpi.com/1911-8074/16/7/317/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jjrfmx:v:16:y:2023:i:7:p:317-:d:1184202
Access Statistics for this article
JRFM is currently edited by Ms. Chelthy Cheng
More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().