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The unbalanced trade-off between pollution exposure and energy consumption induced by averting behaviors

Behavioral responses to environmental risks create gains and losses. We use high-frequency datasets to elucidate such behavior responses against air pollution and find a “double-peaked” time pattern in reducing outdoor exposure and in increasing electricity consumption. Despite that one standard dev...

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Detalles Bibliográficos
Autores principales: Li, Qingran, Zhou, Yang, Pizer, William A., Wu, Libo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840935/
https://www.ncbi.nlm.nih.gov/pubmed/36654857
http://dx.doi.org/10.1016/j.isci.2022.105597
Descripción
Sumario:Behavioral responses to environmental risks create gains and losses. We use high-frequency datasets to elucidate such behavior responses against air pollution and find a “double-peaked” time pattern in reducing outdoor exposure and in increasing electricity consumption. Despite that one standard deviation increase in the Air Quality Index induces 2% less outdoor population and 6% more household electricity consumption at peak, most responses fail to match with the intra-day pollution peaks, implying ineffective exposure avoidance. We find an unbalanced trade-off between health benefits and energy co-damages. The behavior-induced change in annual residential power consumption (+1.01% to +1.20%) is estimated to be 20 times more than that in the population-based exposure (−0.02% to −0.05%), and generates 0.13–0.15 million more metric tons of citywide carbon emissions. Our results imply that by targeting peak pollution periods, policies can shrink the trade-off imbalance and achieve mutual improvements in exposure reduction and energy conservation.