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Using input-output models to estimate sectoral effects of carbon tax policy

Applications of the NGFS scenarios

Bibliographic Data

ID2801367
AuthorsDavid Kay (0000-0002-4555-1979, Corporate Economics Group Wells Fargo & Company Charlotte North Carolina USA), G Jason Jolley (0000-0003-3915-590X, Voinovich School of Leadership and Public Service Ohio University Athens Ohio USA, corresponding author)
Year2023
Volume82
Issue3
Pages187-222
Publication date2023-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Economics and Sociology (JOURNAL)
Journal identifiersISSN: 0002-9246 • E-ISSN: 1536-7150
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ajes.12503
OpenAlexW4321373801
LanguageEN
Citations received4
References cited26

The Network of Central Banks and Supervisors for Greening the Financial System (NGFS) has engaged in scenario analysis that estimates a $200/ton carbon tax would be required to transition to net zero carbon by 2050. Using a $200/ton carbon tax as a base, this paper uses input-output (IO) modeling to generate price and revenue effects of a carbon tax. Results from these models, which can only be interpreted as the short-run, upper-bound effects of the carbon tax policy, imply that in response to a $200/ton tax on CO2e emissions, carbon-intensive industries, such as agriculture, extraction, transportation, utilities, and chemicals, may experience price increases in the range of 10-30 percent. Other industries will also experience price increases, but to a lesser degree, due to increased input costs associated with the tax. In addition, modeling results also suggest that industries facing elastic pricing regimes may face similar-sized declines in revenues as a consequence of the carbon tax. Rank-ordered impact results from these models can be utilized by bank supervisors and firms to adequately plan for sectoral-level transition risk within their lending and/or investment portfolios

Carbon fibers · Carbon tax · Economics · Greenhouse gas · Investment (military) · Monetary economics · Natural resource economics · Order (exchange) · Revenue · Climate Change Policy and Economics · Computer Science · Environmental Impact and Sustainability · Finance · Fiscal Policy and Economic Growth

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Unique citing works4
Citations per year2
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4
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