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Policy learning and diffusion of Tokyo's metropolitan cap-and-trade

Making a mandatory reduction of total CO 2 emissions work at local scales

Dados Bibliográficos

ID11193437
AutoresYasuo Takao (0000-0002-8425-8476, Curtin University, autor correspondente)
Ano2014
Volume35
Fascículo4
Páginas319-338
Data de publicação2014-07-04
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoPolicy Studies (JOURNAL)
Identificadores do periódicoISSN: 0144-2872 • E-ISSN: 1470-1006
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01442872.2013.875151
OpenAlexW2037396079
IdiomaEN
Citações recebidas4
Referências citadas49

The process of adopting policy ideas is extremely complex and requires a close examination of the political context in which the idea is learned, articulated, contested, adapted, and accepted by agents, both individual and collective. Why and how was the world's first urban scheme of mandatory reduction of total emissions adopted in Tokyo and not elsewhere? What might cause diffusion of this idea in other urban areas? One key explanation behind the idea adoption is a policy evolution of trial-and-error lessons about effective policy design, desirable policy goals, and politically feasible judgments. This study finds that both agency effects and structural opportunities of policy adoption in the case of Tokyo's cap-and-trade are too specific to result in a more coherent diffusion of ideas, policies, and practices in other urban areas. Although there is a sign of diffusion of Tokyo's cap-and-trade throughout Japan, it is more likely to derive from mimicking behaviors than from learning. The policy transfer of Tokyo's cap-and-trade requires the continuous learning of adaptive capacity to make it better fit to locally specific conditions

Agency (philosophy · Context (archaeology · Economics · Geography · Metropolitan area · Policy transfer · Political science · Politics · Process (computing · Regional science · Sign (mathematics · Sociology · Work (physics · Climate Change Policy and Economics · Computer Science · Engineering · Law · Policy Transfer and Learning · Public Administration · Urban Transport and Accessibility

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Obras citantes distintas4
Citações por ano0,67
Intervalo de citações2020 - 2025 (6)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 4
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