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Climate change heterogeneity: a new quantitative approach

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorGadea Rivas, Marta Dolores
dc.contributor.authorGonzalo, Jesús
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Economíaes
dc.contributor.funderMinisterio de Ciencia y Tecnología (España)es
dc.contributor.funderAgencia Estatal de Investigación (España)es
dc.contributor.funderFondo Europeo de Desarrollo Regionales
dc.date.accessioned2022-07-12T15:55:00Z
dc.date.available2022-07-12T15:55:00Z
dc.date.issued2022-07-12
dc.description.abstractClimate change is a non-uniform phenomenon. This paper proposes a newquantitative methodology to characterize, measure and test the existence ofclimate change heterogeneity. It consists of three steps. First, we introduce anew testable warming typology based on the evolution of the trend of the whole temperature distribution and not only on the average. Second, we define the concepts of warming acceleration and warming amplification in a testable format. And third, we introduce the new testable concept of warming dominance to determine whether region A is suffering a worse warming process than region B. Applying this three-step methodology, we find that Spain and the Globe experience a clear distributional warming process (beyond the standard average) but of different types. In both cases, this process is accelerating over time and asymmetrically amplified. Overall, warming in Spain dominates the Globe in all the quantiles except the lower tail of the global temperature distribution that corresponds to the Artic region. Our climate change heterogeneity results open the door to the need for a non-uniform causal-effect climate analysis that goes beyond the standard causality in mean as well as for a more efficient design of the mitigation-adaptation policies. In particular, the heterogeneity we find suggests that these policies should contain a common global component and a clear local-regional element. Future climate agreements should take the whole temperature distribution into account.en
dc.description.sponsorshipFinantial support from the Gobierno de Aragon and FEDER funds (grant, LMP71-18), the Spanish Ministerio de Ciencia y Tecnología, Agencia Española de Investigación (AEI) and European Regional Development Fund (ERDF, EU) under grants PID2019-104960GB-IOO, ECO2017-83255-C3-1-P (AEI/ERDF, EU) and ECO2016-81901-REDT, and Bank of Spain (ER grant program) is also gratefully acknowledged.en
dc.identifier.issn2340-5031es
dc.identifier.urihttps://hdl.handle.net/10016/35442
dc.identifier.uxxiDT/0000002013es
dc.language.isoenges
dc.relation.ispartofseriesWorking paper. Economicsen
dc.relation.ispartofseries22-11
dc.relation.projectIDGobierno de España. PID2019-104960GB-I00es
dc.relation.projectIDGobierno de España. ECO2017-83255-C3-1-Pes
dc.relation.projectIDGobierno de España. ECO2016-81901-REDTes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaEconomíaes
dc.subject.jelC31
dc.subject.jelC32
dc.subject.jelQ54
dc.subject.otherClimate Changeen
dc.subject.otherClimate Heterogeneityen
dc.subject.otherGlobal-Local Warmingen
dc.subject.otherFunctional Stochastic Processesen
dc.subject.otherDistributional Characteristicsen
dc.subject.otherTrendsen
dc.subject.otherQuantilesen
dc.subject.otherTemperature Distributionsen
dc.titleClimate change heterogeneity: a new quantitative approachen
dc.typeworking paper*
dspace.entity.typePublication
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