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http://elar.urfu.ru/handle/10995/111286
Название: | A Review of Agent-Based Modeling of Climate-Energy Policy |
Авторы: | Castro, J. Drews, S. Exadaktylos, F. Foramitti, J. Klein, F. Konc, T. Savin, I. van den Bergh, J. |
Дата публикации: | 2020 |
Издатель: | Wiley-Blackwell Wiley |
Библиографическое описание: | A Review of Agent-Based Modeling of Climate-Energy Policy / J. Castro, S. Drews, F. Exadaktylos et al. // Wiley Interdisciplinary Reviews: Climate Change. — 2020. — Vol. 11. — Iss. 4. — e647. |
Аннотация: | Agent-based models (ABMs) have recently seen much application to the field of climate mitigation policies. They offer a more realistic description of micro behavior than traditional climate policy models by allowing for agent heterogeneity, bounded rationality and nonmarket interactions over social networks. This enables the analysis of a broader spectrum of policies. Here, we review 61 ABM studies addressing climate-energy policy aimed at emissions reduction, product and technology diffusion, and energy conservation. This covers a broad set of instruments of climate policy, ranging from carbon taxation, and emissions trading through adoption subsidies to information provision tools such as smart meters and eco-labels. Our treatment pays specific attention to behavioral assumptions and the structure of social networks. We offer suggestions for future research with ABMs to answer neglected policy questions. This article is categorized under: Climate Economics > Economics of Mitigation. © 2020 Wiley Periodicals, Inc. |
Ключевые слова: | AGENT-BASED MODELS BOUNDED RATIONALITY CLIMATE POLICY OTHER-REGARDING PREFERENCES SOCIAL INTERACTIONS AUTONOMOUS AGENTS COMPUTATIONAL METHODS EMISSION CONTROL ENERGY POLICY SIMULATION PLATFORM TAXATION AGENT-BASED MODEL BOUNDED RATIONALITY CLIMATE POLICY OTHER-REGARDING PREFERENCES SOCIAL INTERACTIONS CLIMATE MODELS ENERGY POLICY ENVIRONMENTAL POLICY MODELING SOCIAL NETWORK |
URI: | http://elar.urfu.ru/handle/10995/111286 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор SCOPUS: | 85082760051 |
Идентификатор WOS: | 000522748300001 |
Идентификатор PURE: | 13142983 |
ISSN: | 1757-7780 |
DOI: | 10.1002/wcc.647 |
Сведения о поддержке: | This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement no. 741087). I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262]. |
Карточка проекта РНФ: | 19-18-00262 |
Карточка проекта CORDIS: | H2020: 741087 |
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-s2.0-85082760051.pdf | 2,97 MB | Adobe PDF | Просмотреть/Открыть |
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