Dynamically estimating the distributional impacts of U.S. climate policy with NEMS: A case study of the Climate Protection Act of 2013
We present a new method that enables users of the federal government's flagship energy policy model (NEMS) to dynamically estimate the direct energy expenditure impacts of climate policy across U.S. household incomes and census regions. Our approach combines NEMS output with detailed household...
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Published in | Energy economics Vol. 55; pp. 303 - 318 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier B.V
01.03.2016
Elsevier Science Ltd |
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Abstract | We present a new method that enables users of the federal government's flagship energy policy model (NEMS) to dynamically estimate the direct energy expenditure impacts of climate policy across U.S. household incomes and census regions. Our approach combines NEMS output with detailed household expenditure data from the Consumer Expenditure Survey, improving on static methods that assess policy impacts by assuming household energy demand remains unchanged under emissions pricing scenarios. To illustrate our method, we evaluate a recent carbon fee-and-dividend proposal introduced in the U.S. Senate, the Climate Protection Act of 2013 (S. 332). Our analysis indicates this bill, if enacted, would have cut CO2 emissions from energy by 17% below 2005 levels by 2020 at a gross cost of less than 0.5% of GDP, while offering rebates sufficient to offset increased direct energy expenditures for typical households making less than $120,000 per year and average households in all regions of the United States.
•We analyze the Climate Protection Act of 2013, a fee-and-dividend policy.•We estimate the distribution of direct energy expenditure impacts by household income.•Improving on static methods, we model price-induced changes in energy consumption.•Dynamic results better reflect coal-to-gas switching in the electricity sector.•To assess total incidence, our results can be combined with others' indirect cost estimates. |
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AbstractList | We present a new method that enables users of the federal government's flagship energy policy model (NEMS) to dynamically estimate the direct energy expenditure impacts of climate policy across U.S. household incomes and census regions. Our approach combines NEMS output with detailed household expenditure data from the Consumer Expenditure Survey, improving on static methods that assess policy impacts by assuming household energy demand remains unchanged under emissions pricing scenarios. To illustrate our method, we evaluate a recent carbon fee-and-dividend proposal introduced in the U.S. Senate, the Climate Protection Act of 2013 (S. 332). Our analysis indicates this bill, if enacted, would have cut CO sub(2) emissions from energy by 17% below 2005 levels by 2020 at a gross cost of less than 0.5% of GDP, while offering rebates sufficient to offset increased direct energy expenditures for typical households making less than $120,000 per year and average households in all regions of the United States. We present a new method that enables users of the federal government's flagship energy policy model (NEMS) to dynamically estimate the direct energy expenditure impacts of climate policy across U.S. household incomes and census regions. Our approach combines NEMS output with detailed household expenditure data from the Consumer Expenditure Survey, improving on static methods that assess policy impacts by assuming household energy demand remains unchanged under emissions pricing scenarios. To illustrate our method, we evaluate a recent carbon fee-and-dividend proposal introduced in the U.S. Senate, the Climate Protection Act of 2013 (S. 332). Our analysis indicates this bill, if enacted, would have cut CO2 emissions from energy by 17% below 2005 levels by 2020 at a gross cost of less than 0.5% of GDP, while offering rebates sufficient to offset increased direct energy expenditures for typical households making less than $120,000 per year and average households in all regions of the United States. [web URL: http://www.sciencedirect.com/science/article/pii/S0140988316300366] We present a new method that enables users of the federal government's flagship energy policy model (NEMS) to dynamically estimate the direct energy expenditure impacts of climate policy across U.S. household incomes and census regions. Our approach combines NEMS output with detailed household expenditure data from the Consumer Expenditure Survey, improving on static methods that assess policy impacts by assuming household energy demand remains unchanged under emissions pricing scenarios. To illustrate our method, we evaluate a recent carbon fee-and-dividend proposal introduced in the U.S. Senate, the Climate Protection Act of 2013 (S. 332). Our analysis indicates this bill, if enacted, would have cut CO2 emissions from energy by 17% below 2005 levels by 2020 at a gross cost of less than 0.5% of GDP, while offering rebates sufficient to offset increased direct energy expenditures for typical households making less than $120,000 per year and average households in all regions of the United States. •We analyze the Climate Protection Act of 2013, a fee-and-dividend policy.•We estimate the distribution of direct energy expenditure impacts by household income.•Improving on static methods, we model price-induced changes in energy consumption.•Dynamic results better reflect coal-to-gas switching in the electricity sector.•To assess total incidence, our results can be combined with others' indirect cost estimates. |
Author | Wara, Michael Cullenward, Danny Weyant, John P. T. Wilkerson, Jordan |
Author_xml | – sequence: 1 givenname: Danny orcidid: 0000-0002-6803-9572 surname: Cullenward fullname: Cullenward, Danny email: dcullenward@berkeley.edu organization: Stanford Energy Policy Laboratory, Stanford University, CA, USA – sequence: 2 givenname: Jordan orcidid: 0000-0003-1447-9465 surname: T. Wilkerson fullname: T. Wilkerson, Jordan organization: Stanford Energy Policy Laboratory, Stanford University, CA, USA – sequence: 3 givenname: Michael surname: Wara fullname: Wara, Michael organization: Stanford Energy Policy Laboratory, Stanford University, CA, USA – sequence: 4 givenname: John P. surname: Weyant fullname: Weyant, John P. organization: Stanford Energy Policy Laboratory, Stanford University, CA, USA |
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Snippet | We present a new method that enables users of the federal government's flagship energy policy model (NEMS) to dynamically estimate the direct energy... |
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SubjectTerms | Bills Carbon dioxide Carbon tax incidence Case studies Censuses Climate Climate policy Consumer spending Data analysis Economics Emission analysis Emissions Emissions control Energy demand Energy economics Energy expenditure Energy policy Environmental policy Expenditures Federal government Fee and dividend GDP Gross Domestic Product Guanosine diphosphate Households Legislation Legislatures Nanoelectromechanical systems NEMS Politics Residential energy Studies |
Title | Dynamically estimating the distributional impacts of U.S. climate policy with NEMS: A case study of the Climate Protection Act of 2013 |
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