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Why the social cost of carbon will always be disputed
Any social cost of carbon (SCC) calculated from an integrated assessment model of global climate‐economy interactions will always be disputed. This is because a key model input–namely the valuation of centennial climate damage–is highly unknowable for fundamental reasons discussed here. Problems wit...
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Published in: | Wiley interdisciplinary reviews. Climate change 2019-01, Vol.10 (1), p.e558-n/a |
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description | Any social cost of carbon (SCC) calculated from an integrated assessment model of global climate‐economy interactions will always be disputed. This is because a key model input–namely the valuation of centennial climate damage–is highly unknowable for fundamental reasons discussed here. Problems with damage valuation are highlighted by the implicit implausibility to climate scientists of a leading model's (centennial) damage function, and by strong criticisms of damage functions by many climate economists. The claim that statistical analyses of past weather impacts on local economies, combined with structural modeling of sectoral impacts, can significantly improve centennial damage valuation rests on untestable, far‐out‐of‐sample extrapolation. Testing centennial climate (natural) science projections is generally harder than testing predictions in astronomy, geology and other earth sciences, because of Earth's uniqueness, and the unprecedented degree of likely climate change; but stable underlying laws make climate modeling based on past observations meaningful. By contrast, the added complexity of human behavior means there are no quantitatively stable laws for modeling the value of centennial climate damage. I suggest that any carbon prices used to inform climate policies, be they carbon prices used as policy instruments, or complementary, non‐carbon‐price policies, should instead be based on marginal abatement costs, found by modeling low‐cost pathways to socially agreed, physical climate targets. A pathway approach to estimating carbon prices poses challenges to many economists, and is no panacea, but it avoids any illusion of optimality, and facilitates detailed analysis of sectoral policies.
This article is categorized under:
Climate Economics > Aggregation Techniques for Impacts and Mitigation Costs
Assessing Impacts of Climate Change > Evaluating Future Impacts of Climate Change
The ~1°C‐wide band of reconstructed, Common‐Era global mean temperatures contrasts sharply with future projections from DICE‐2016R, a leading climate‐economy model, of 4.1°C “optimal” and 7.2°C “baseline” peak global warming. The “climate damage function” assumed by such projections, and the associated Social Cost of Carbons (SCCs) used to guide some climate policies, cannot be tested scientifically. |
doi_str_mv | 10.1002/wcc.558 |
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This article is categorized under:
Climate Economics > Aggregation Techniques for Impacts and Mitigation Costs
Assessing Impacts of Climate Change > Evaluating Future Impacts of Climate Change
The ~1°C‐wide band of reconstructed, Common‐Era global mean temperatures contrasts sharply with future projections from DICE‐2016R, a leading climate‐economy model, of 4.1°C “optimal” and 7.2°C “baseline” peak global warming. The “climate damage function” assumed by such projections, and the associated Social Cost of Carbons (SCCs) used to guide some climate policies, cannot be tested scientifically.</description><identifier>ISSN: 1757-7780</identifier><identifier>EISSN: 1757-7799</identifier><identifier>DOI: 10.1002/wcc.558</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Astronomy ; Carbon ; centennial climate damage ; Climate change ; Climate models ; Climate policy ; Cost assessments ; Costs ; disputes ; Earth sciences ; Economic analysis ; Economic impact ; Economists ; Environmental assessment ; Environmental impact ; Environmental policy ; Geology ; Global climate ; highly unknowable ; Human behavior ; Impact damage ; Local economy ; Mitigation ; Mitigation costs ; monetary valuation ; Policies ; Prices ; Pricing policies ; scientific method ; social cost of carbon ; Statistical analysis ; Structural damage ; uncertainty ; unprecedented ; Valuation</subject><ispartof>Wiley interdisciplinary reviews. Climate change, 2019-01, Vol.10 (1), p.e558-n/a</ispartof><rights>2018 The Authors. published by Wiley Periodicals, Inc.</rights><rights>2018. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3228-702d8db7084e266aa76e696b81c4b2a961e768a39168340356f94c8a4084badf3</citedby><cites>FETCH-LOGICAL-c3228-702d8db7084e266aa76e696b81c4b2a961e768a39168340356f94c8a4084badf3</cites><orcidid>0000-0001-6473-9355</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27842,27900,27901</link.rule.ids></links><search><creatorcontrib>Pezzey, John C. V.</creatorcontrib><title>Why the social cost of carbon will always be disputed</title><title>Wiley interdisciplinary reviews. Climate change</title><description>Any social cost of carbon (SCC) calculated from an integrated assessment model of global climate‐economy interactions will always be disputed. This is because a key model input–namely the valuation of centennial climate damage–is highly unknowable for fundamental reasons discussed here. Problems with damage valuation are highlighted by the implicit implausibility to climate scientists of a leading model's (centennial) damage function, and by strong criticisms of damage functions by many climate economists. The claim that statistical analyses of past weather impacts on local economies, combined with structural modeling of sectoral impacts, can significantly improve centennial damage valuation rests on untestable, far‐out‐of‐sample extrapolation. Testing centennial climate (natural) science projections is generally harder than testing predictions in astronomy, geology and other earth sciences, because of Earth's uniqueness, and the unprecedented degree of likely climate change; but stable underlying laws make climate modeling based on past observations meaningful. By contrast, the added complexity of human behavior means there are no quantitatively stable laws for modeling the value of centennial climate damage. I suggest that any carbon prices used to inform climate policies, be they carbon prices used as policy instruments, or complementary, non‐carbon‐price policies, should instead be based on marginal abatement costs, found by modeling low‐cost pathways to socially agreed, physical climate targets. A pathway approach to estimating carbon prices poses challenges to many economists, and is no panacea, but it avoids any illusion of optimality, and facilitates detailed analysis of sectoral policies.
This article is categorized under:
Climate Economics > Aggregation Techniques for Impacts and Mitigation Costs
Assessing Impacts of Climate Change > Evaluating Future Impacts of Climate Change
The ~1°C‐wide band of reconstructed, Common‐Era global mean temperatures contrasts sharply with future projections from DICE‐2016R, a leading climate‐economy model, of 4.1°C “optimal” and 7.2°C “baseline” peak global warming. The “climate damage function” assumed by such projections, and the associated Social Cost of Carbons (SCCs) used to guide some climate policies, cannot be tested scientifically.</description><subject>Astronomy</subject><subject>Carbon</subject><subject>centennial climate damage</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climate policy</subject><subject>Cost assessments</subject><subject>Costs</subject><subject>disputes</subject><subject>Earth sciences</subject><subject>Economic analysis</subject><subject>Economic impact</subject><subject>Economists</subject><subject>Environmental assessment</subject><subject>Environmental impact</subject><subject>Environmental policy</subject><subject>Geology</subject><subject>Global climate</subject><subject>highly unknowable</subject><subject>Human behavior</subject><subject>Impact damage</subject><subject>Local economy</subject><subject>Mitigation</subject><subject>Mitigation costs</subject><subject>monetary valuation</subject><subject>Policies</subject><subject>Prices</subject><subject>Pricing policies</subject><subject>scientific method</subject><subject>social cost of carbon</subject><subject>Statistical analysis</subject><subject>Structural damage</subject><subject>uncertainty</subject><subject>unprecedented</subject><subject>Valuation</subject><issn>1757-7780</issn><issn>1757-7799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>7TQ</sourceid><recordid>eNp1kE1LxDAQhoMouKyLfyHgwYN0zUfzdZSiq7DgRdljSNKU7VI3NWlZ-u_NUvHmXGYOz8zwPgDcYrTGCJHHk3NrxuQFWGDBRCGEUpd_s0TXYJXSAeWiREpZLgDb7Sc47D1MwbWmgy6kAYYGOhNtOMJT23XQdCczJWg9rNvUj4Ovb8BVY7rkV799CT5fnj-q12L7vnmrnraFo4TIQiBSy9oKJEtPODdGcM8VtxK70hKjOPaCS0MV5pKWiDLeqNJJU-YFa-qGLsHdfLeP4Xv0adCHMMZjfqkJZkwxKojI1P1MuRhSir7RfWy_TJw0RvqsRWctOmvJ5MNM5lx--g_Tu6o60z9pOWBB</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Pezzey, John C. V.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TQ</scope><scope>7U6</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>KL.</scope><orcidid>https://orcid.org/0000-0001-6473-9355</orcidid></search><sort><creationdate>201901</creationdate><title>Why the social cost of carbon will always be disputed</title><author>Pezzey, John C. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3228-702d8db7084e266aa76e696b81c4b2a961e768a39168340356f94c8a4084badf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Astronomy</topic><topic>Carbon</topic><topic>centennial climate damage</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climate policy</topic><topic>Cost assessments</topic><topic>Costs</topic><topic>disputes</topic><topic>Earth sciences</topic><topic>Economic analysis</topic><topic>Economic impact</topic><topic>Economists</topic><topic>Environmental assessment</topic><topic>Environmental impact</topic><topic>Environmental policy</topic><topic>Geology</topic><topic>Global climate</topic><topic>highly unknowable</topic><topic>Human behavior</topic><topic>Impact damage</topic><topic>Local economy</topic><topic>Mitigation</topic><topic>Mitigation costs</topic><topic>monetary valuation</topic><topic>Policies</topic><topic>Prices</topic><topic>Pricing policies</topic><topic>scientific method</topic><topic>social cost of carbon</topic><topic>Statistical analysis</topic><topic>Structural damage</topic><topic>uncertainty</topic><topic>unprecedented</topic><topic>Valuation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pezzey, John C. V.</creatorcontrib><collection>Wiley Open Access</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>PAIS Index</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Wiley interdisciplinary reviews. Climate change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pezzey, John C. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Why the social cost of carbon will always be disputed</atitle><jtitle>Wiley interdisciplinary reviews. Climate change</jtitle><date>2019-01</date><risdate>2019</risdate><volume>10</volume><issue>1</issue><spage>e558</spage><epage>n/a</epage><pages>e558-n/a</pages><issn>1757-7780</issn><eissn>1757-7799</eissn><abstract>Any social cost of carbon (SCC) calculated from an integrated assessment model of global climate‐economy interactions will always be disputed. This is because a key model input–namely the valuation of centennial climate damage–is highly unknowable for fundamental reasons discussed here. Problems with damage valuation are highlighted by the implicit implausibility to climate scientists of a leading model's (centennial) damage function, and by strong criticisms of damage functions by many climate economists. The claim that statistical analyses of past weather impacts on local economies, combined with structural modeling of sectoral impacts, can significantly improve centennial damage valuation rests on untestable, far‐out‐of‐sample extrapolation. Testing centennial climate (natural) science projections is generally harder than testing predictions in astronomy, geology and other earth sciences, because of Earth's uniqueness, and the unprecedented degree of likely climate change; but stable underlying laws make climate modeling based on past observations meaningful. By contrast, the added complexity of human behavior means there are no quantitatively stable laws for modeling the value of centennial climate damage. I suggest that any carbon prices used to inform climate policies, be they carbon prices used as policy instruments, or complementary, non‐carbon‐price policies, should instead be based on marginal abatement costs, found by modeling low‐cost pathways to socially agreed, physical climate targets. A pathway approach to estimating carbon prices poses challenges to many economists, and is no panacea, but it avoids any illusion of optimality, and facilitates detailed analysis of sectoral policies.
This article is categorized under:
Climate Economics > Aggregation Techniques for Impacts and Mitigation Costs
Assessing Impacts of Climate Change > Evaluating Future Impacts of Climate Change
The ~1°C‐wide band of reconstructed, Common‐Era global mean temperatures contrasts sharply with future projections from DICE‐2016R, a leading climate‐economy model, of 4.1°C “optimal” and 7.2°C “baseline” peak global warming. The “climate damage function” assumed by such projections, and the associated Social Cost of Carbons (SCCs) used to guide some climate policies, cannot be tested scientifically.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/wcc.558</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6473-9355</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Astronomy Carbon centennial climate damage Climate change Climate models Climate policy Cost assessments Costs disputes Earth sciences Economic analysis Economic impact Economists Environmental assessment Environmental impact Environmental policy Geology Global climate highly unknowable Human behavior Impact damage Local economy Mitigation Mitigation costs monetary valuation Policies Prices Pricing policies scientific method social cost of carbon Statistical analysis Structural damage uncertainty unprecedented Valuation |
title | Why the social cost of carbon will always be disputed |
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