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http://elar.urfu.ru/handle/10995/130315
Название: | Agent-based modeling to integrate elements from different disciplines for ambitious climate policy |
Авторы: | Savin, I. Creutzig, F. Filatova, T. Foramitti, J. Konc, T. Niamir, L. Safarzynska, K. van, den, Bergh, J. |
Дата публикации: | 2023 |
Издатель: | John Wiley and Sons Inc |
Библиографическое описание: | Savin, I, Creutzig, F, Filatova, T, Foramitti, J, Konc, T, Niamir, L, Safarzynska, K & Van den bergh, J 2023, 'Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy', Wiley Interdisciplinary Reviews: Climate Change, Том. 14, № 2, e811. https://doi.org/10.1002/wcc.811 Savin, I., Creutzig, F., Filatova, T., Foramitti, J., Konc, T., Niamir, L., Safarzynska, K., & Van den bergh, J. (2023). Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy. Wiley Interdisciplinary Reviews: Climate Change, 14(2), [e811]. https://doi.org/10.1002/wcc.811 |
Аннотация: | Ambitious climate mitigation policies face social and political resistance. One reason is that existing policies insufficiently capture the diversity of relevant insights from the social sciences about potential policy outcomes. We argue that agent-based models can serve as a powerful tool for integration of elements from different disciplines. Having such a common platform will enable a more complete assessment of climate policies, in terms of criteria like effectiveness, equity and public support. This article is categorized under: Climate Models and Modeling > Knowledge Generation with Models The Carbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles, Behavior Policy and Governance > Multilevel and Transnational Climate Change Governance. © 2022 The Authors. WIREs Climate Change published by Wiley Periodicals LLC. |
Ключевые слова: | AGENT-BASED MODELLING CLIMATE CHANGE POLICY ACCEPTABILITY POLICY INTEGRATION POLICY STRINGENCY AUTONOMOUS AGENTS CLIMATE MODELS COMPUTATIONAL METHODS PUBLIC POLICY RENEWABLE ENERGY RESOURCES SIMULATION PLATFORM AGENT-BASED MODEL CLIMATE MITIGATIONS CLIMATE POLICY COMMON PLATFORM MITIGATION POLICIES POLICIES INTEGRATIONS POLICY ACCEPTABILITY POLICY OUTCOMES POLICY STRINGENCY PUBLIC SUPPORT CLIMATE CHANGE CLIMATE CHANGE CLIMATE MODELING ENVIRONMENTAL POLICY GOVERNANCE APPROACH INTEGRATED APPROACH KNOWLEDGE BASED SYSTEM |
URI: | http://elar.urfu.ru/handle/10995/130315 |
Условия доступа: | info:eu-repo/semantics/openAccess cc-by-nc-nd |
Текст лицензии: | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Идентификатор SCOPUS: | 85142889819 |
Идентификатор WOS: | 000891165000001 |
Идентификатор PURE: | 36036138 |
ISSN: | 1757-7780 |
DOI: | 10.1002/wcc.811 |
Сведения о поддержке: | Horizon 2020 Framework Programme, H2020: 741087, 758014; H2020 European Research Council, ERC; European Research Council, ERC H2020 European Research Council, Grant/Award Numbers: 741087, 758014 Ivan Savin, Joël Foramitti, Théo Konc and Jeroen van den Bergh acknowledge financial support by ERC project EVOCLIM, Grant 741087; Tatiana Filatova acknowledges financial support by ERC Project SCALAR, Grant agreement No. 758014. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85142889819.pdf | 1,47 MB | Adobe PDF | Просмотреть/Открыть |
Лицензия на ресурс: Лицензия Creative Commons