In one paragraphArticle in Mitigation and adaptation strategies for global change, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Fábio T F da SilvaCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0002-1513-3100 Alexandre SzkloCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0002-7101-1810 Amanda VinhozaCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0003-3780-4144 Ana Célia NogueiraUniversidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil.
André F P LucenaCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0003-1976-6607 Antônio Marcos MendonçaGeneral Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil.
Camilla MarcolinoUniversidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil.
Felipe NunesUniversidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil.
Francielle M CarvalhoCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0002-5175-0771 Isabela TagomoriCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0002-0469-6055 Laura SoaresUniversidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil.
Márcio Rojas da CruzGeneral Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil.ORCID 0000-0002-1485-5638 Pedro RochedoCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0001-5151-0893 Régis RathmannGeneral Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil.ORCID 0000-0001-9778-2843 Roberto SchaefferCentre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil.ORCID 0000-0002-3709-7323 Sonia Regina Mudrovitsch de BittencourtGeneral Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil.ORCID 0000-0003-1398-4056 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Technological development is key for national strategies to cope with the Paris Agreement's goals. Technology Needs Assessments (TNAs) aim to identify, prioritize, and diffuse climate change mitigation and/or adaptation technologies in developing countries. Their methodology includes a multi-criteria decision analysis (MCDA) framework but, although many countries already conducted a TNA, literature lacks discussions on country-specific processes for a TNA, as it usually follows a one-size-fits-all approach. This paper provides empirical evidence on the importance of country-driven processes that help shaping international programmes into country-specific needs and capabilities. It presents lessons learned from a tailored process for identification, prioritization, and selection of mitigation technologies in the scope of a TNA project for Brazil, an exceptional case of a developing country with strong capacity in integrated assessment modelling (IAM) scenarios for guiding its climate strategies. A previous IAM scenario result allowed pre-selecting technologies in six key economic sectors, while other TNAs prioritized no more than three. This allowed the elaboration of an overall ranking from the MCDA, in contrast to sectoral rankings that are mostly employed in other countries' TNAs. The overall ranking serves not only as a basis for the selection of priority technologies but also provides information on the integrated innovations framework for climate technologies in the country. Further specific findings of the tailored Brazilian TNA approach are discussed in the paper in order to call for the importance that a technology transfer project should not only be country-driven but also conducted through a country-specific process. Supplementary Information: The online version contains supplementary material available at 10.1007/s11027-022-10025-6.
Indexed as
Analytic hierarchy processBrazilMitigationMulti-criteria analysisTechnology Needs Assessment
Identifiers
PMID36065418
PMCPMC9433519
What OpenQuestion holds
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