Version 2 2024-01-18, 16:05Version 2 2024-01-18, 16:05
Version 1 2024-01-05, 17:07Version 1 2024-01-05, 17:07
journal contribution
posted on 2024-01-18, 16:05authored byCatarina Midões, Enrica De Cian, Giacomo Pasini, Sara Pesenti, Malcolm N. Mistry
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.