SHARE-ENV:A Data Set to Advance Our Knowledge of the Environment−Wellbeing Relationship  

作　　者：Catarina Midões Enrica De Cian Giacomo Pasini Sara Pesenti Malcolm N.Mistry 

机构地区：[1]Department of Economics,Ca’Foscari University of Venice,30121 Venezia,Italy [2]Institute of Environmental Science and Technology of Universitat Autònoma de Barcelona,08193 Cerdanyola del Vallès,Barcelona,Spain [3]European Central Bank,60314 Frankfurt am Main,Germany [4]Environment and Health Modelling(EHM)Lab,Department of Public Health,Environments and Society,London School of Hygiene and Tropical Medicine(LSHTM),London WC1E 7HT,United Kingdom

出　　处：《Environment & Health》2024年第2期95-104,共10页环境与健康（英文）

基　　金：funding from the European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation program grant agreement No.756194,“ENERGYA,”and from the European Union’s Horizon 2020 under the Marie Skłodowska-Curie grant agreement No 956107,“Economic Policy in Complex Environments(EPOC)”;MNM was supported by the European Commission(H2020-MSCA-IF-2020)under REA grant agreement no.101022870.

摘　　要：Climate change interacts with other environmental stressors and vulnerability factors.Some places and,owing to socioeconomic conditions,some people,are far more at risk.The data behind current assessments of the environment−wellbeing nexus is coarse and regionally aggregated,when considering multiple regions/groups;or,when granular,comes from ad hoc samples with few variables.To assess the impacts of climate change,we require data that are granular and comprehensive,both in the variables and population studied.We build a publicly accessible data set,the SHARE-ENV data set,which fulfills these criteria.We expand on EU representative,individual-level,longitudinal data(the SHARE survey),with environmental exposure information about temperature,radiation,precipitation,pollution,and flood events.We illustrate through four simplified multilevel linear regressions,cross-sectional and longitudinal,how full-fledged studies can use SHARE-ENV to contribute to the literature.Such studies would help assess climate impacts and estimate the effectiveness and fairness of several climate adaptation policies.Other surveys can be expanded with environmental information to unlock different research avenues.

关 键 词：climate change risk environmental impacts climate adaptation population health longitudinal data 

分 类 号：X5[环境科学与工程—环境工程]