Economy-wide impacts of behavioral climate change mitigation: linking agent-based and computable general equilibrium models

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published 91885 2 265902 document 91885 lightbox.jpg image/png a46b345d046d07bf6c61673a3546bf6c MD5 57152 2020-10-19 13:13:34 https://pure.iiasa.ac.at/id/eprint/16671/8/lightbox.jpg 16671 8 8 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/91884 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/91884 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/91884 archive 353 disk0/00/01/66/71 2020-09-02 10:45:31 2024-01-05 13:33:09 2020-09-02 10:45:31 article show Niamir L. 9056 0000-0002-0285-5542 Ivanova O. Filatova T. Economy-wide impacts of behavioral climate change mitigation: linking agent-based and computable general equilibrium models pub prog_tnt prog_ysp Behavior change; Grassroots dynamics; Soft linking; environmental modelling; upscaling; computational economics Households are responsible for a significant share of global greenhouse emissions. Hence, academic and policy discourses highlight behavioral changes among households as an essential strategy for combating climate change. However, formal models used to assess economic impacts of energy policies face limitations in tracing cumulative impacts of adaptive behavior of diverse households. The past decade has witnessed a proliferation of agent-based simulation models that quantify behavioral climate change mitigation relying on social science theories and micro-level survey data. Yet, these behaviorally-rich models usually operate on a small scale of neighborhoods, towns, and small regions, ignoring macro-scale social institutions such as international markets and rarely covering large areas relevant for climate change mitigation policy. This paper presents a methodology to scale up behavioral changes among heterogeneous individuals regarding energy choices while tracing their macroeconomic and cross-sectoral impacts. To achieve this goal, we combine the strengths of top-down computable general equilibrium models and bottom-up agent-based models. We illustrate the integration process of these two alien modeling approaches by linking data-rich macroeconomic with micro-behavioral models. Following a three-step approach, we investigate the dynamics of cumulative impacts of changes in individual energy use under three behavioral scenarios. Our findings demonstrate that the regional dimension is important in a low-carbon economy transition. Heterogeneity in individual socio-demographics (e.g. education and age), structural characteristics (e.g. type and size of dwellings), behavioral and social traits (e.g. awareness and personal norms), and social interactions amplify these differences, causing nonlinearities in diffusion of green investments among households and macro-economic dynamics. 2020-12 published Elsevier 10.1016/j.envsoft.2020.104839 3145 public Environmental Modelling & Software 134 e104839 TRUE 1873-6726 Knowledge Based Climate Mitigation Systems for a Low Carbon Economy (COMPLEX, FP7 308601) Scaling up behavior and autonomous adaptation for macro models of climate change damage assessment (SCALAR, H2020 758014) Energy Demand Changes Induced by Technological and Social Innovations (EDITS) FALSE yes info:eu-repo/grantAgreement/EC/H2020/758014/EU//COMPLEX; info:eu-repo/grantAgreement/EC/FP7/308601/EU//SCALAR info:eu-repo/semantics/article info:eu-repo/semantics/openAccess