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 

作者机构：Department of EconomicsCa’Foscari University of Venice30121 VeneziaItaly Institute of Environmental Science and Technology of Universitat Autònoma de Barcelona08193 Cerdanyola del VallèsBarcelonaSpain European Central Bank60314 Frankfurt am MainGermany Environment and Health Modelling(EHM)LabDepartment of Public HealthEnvironments and SocietyLondon School of Hygiene and Tropical Medicine(LSHTM)London WC1E 7HTUnited Kingdom 

出 版 物：《Environment & Health》 (环境与健康（英文）)

年 卷 期：2024年第2卷第2期

页      面：95-104页

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学] 

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 

主　　题：climate change risk environmental impacts climate adaptation population health longitudinal data 

摘      要：Climate change interacts with other environmental stressors and vulnerability *** places and,owing to socioeconomic conditions,some people,are far more at *** 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 *** assess the impacts of climate change,we require data that are granular and comprehensive,both in the variables and population *** build a publicly accessible data set,the SHARE-ENV data set,which fulfills these *** expand on EU representative,individual-level,longitudinal data(the SHARE survey),with environmental exposure information about temperature,radiation,precipitation,pollution,and flood *** illustrate through four simplified multilevel linear regressions,cross-sectional and longitudinal,how full-fledged studies can use SHARE-ENV to contribute to the *** studies would help assess climate impacts and estimate the effectiveness and fairness of several climate adaptation *** surveys can be expanded with environmental information to unlock different research avenues.