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Strategic pathways for decarbonization: a data-driven typology to strengthen climate policy

datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosCiências Sociais::Economia e Gestão
datacite.subject.fosCiências Sociais::Geografia Económica e Social
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg13:Ação Climática
dc.contributor.authorBento, Nuno
dc.contributor.authorAlves, Tiago
dc.contributor.authorRibeiro, Ricardo
dc.contributor.authorFontes, Margarida
dc.date.accessioned2026-09-25T13:48:57Z
dc.date.available2026-09-25T13:48:57Z
dc.date.issued2026-09
dc.description.abstractABSTRACT: As global temperatures approach critical thresholds and emissions continue to rise, the urgency for strategic, accelerated decarbonization grows. The climate mitigation literature is vast, but evidence on how mitigation options cluster into overarching decarbonization pathways remains fragmented. Here, we use artificial intelligence–enabled text and citation analysis on an initial corpus of over one million scientific papers (2011–2021) to derive a data-driven typology of six recurrent decarbonization pathways: Technology Breakthrough, Electrification of Uses, Integrated Policy, Decarbonization of Electricity, Demand Reduction & Co-Benefits, and Land Use & Circularity. Rather than proposing new mitigation options, this typology organizes existing work into a small set of archetypal strategies and maps their prevalence across regions, disciplines, and policy orientations. For example, Electrification of Uses is most prominent in the EU27, while Technology Breakthrough dominates in China, the United States, and Japan. The analysis highlights synergies and complementarities between pathways, the scientific competencies that typically underpin them, and persistent gaps – particularly in Land Use & Circularity. We illustrate the policy relevance of the typology by comparing pathway profiles with stated climate policy directions, identifying areas where research and policy emphases are misaligned. This framework can support policymakers and researchers by benchmarking policy portfolios against the typology and highlighting research needs associated with national decarbonization goals.eng
dc.identifier.citationBento, N., Alves, T., Ribeiro, R., & Fontes, M. (2026). Strategic pathways for decarbonization: A data-driven typology to strengthen climate policy. In: Climate Policy. https://doi.org/10.1080/14693062.2026.2729634
dc.identifier.doi10.1080/14693062.2026.2729634
dc.identifier.eissn1752-7457
dc.identifier.issn1469-3062
dc.identifier.urihttp://hdl.handle.net/10400.9/6480
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTaylor and Francis
dc.relationSustainable Transformative Transitions (Sus2Trans)— Conciliate Accelerated Low Carbon Transitions with System Transformations
dc.relation.hasversionhttps://www.tandfonline.com/doi/full/10.1080/14693062.2026.2729634#abstract
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectClimate policy
dc.subjectDecarbonization
dc.subjectLow-carbon innovation
dc.subjectMachine learning
dc.subjectRegional mitigation strategies
dc.titleStrategic pathways for decarbonization: a data-driven typology to strengthen climate policyeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPTDC/GES-AMB/0934/2020
oaire.awardTitleSustainable Transformative Transitions (Sus2Trans)— Conciliate Accelerated Low Carbon Transitions with System Transformations
oaire.awardURIhttp://hdl.handle.net/10400.9/5972
oaire.citation.titleClimate Policy
oaire.fundingStream3599-PPCDT
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBento
person.familyNameAlves
person.familyNameFontes
person.givenNameNuno
person.givenNameTiago
person.givenNameMargarida
person.identifiergSDXHS8AAAAJ&hl
person.identifier.ciencia-id1B19-5AC8-66D5
person.identifier.orcid0000-0002-5923-0666
person.identifier.orcid0000-0001-7382-0737
person.identifier.orcid0000-0002-2198-2061
relation.isAuthorOfPublication44fc83e8-e8c8-43ea-b043-e21e2600443b
relation.isAuthorOfPublicationa8721261-b75a-4927-8d30-ae786957720b
relation.isAuthorOfPublication2c69f9a6-b03f-4123-926b-70c7b994929e
relation.isAuthorOfPublication.latestForDiscovery44fc83e8-e8c8-43ea-b043-e21e2600443b
relation.isProjectOfPublicationf09ce943-3178-460e-a4a3-d5f12f612160
relation.isProjectOfPublication.latestForDiscoveryf09ce943-3178-460e-a4a3-d5f12f612160

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