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Sharing the burden: quantifying climate change spillovers in the European Union under the Paris Agreement

Climate change has emerged as a growing threat to the European economy, whose economic losses are relevant for global growth. Rising temperatures and worsening extreme events are expected to affect climate-vulnerable sectors. Due to the economic integration within the European Union (EU), these impacts will likely have spillover effects and feedback loops to and from other regions. This study uses spatial econometrics to account for the interdependencies between the subnational EU regions to estimate the future impacts of changes in temperature on sectoral labour productivity under the Paris Agreement. The study confirms the presence of spatial spillover effects of climate change, and finds that observations at the economy-wide level of a non-linear, concave and single-peaked relationship between temperature and productivity do not always hold true at the sectoral level.
subnational analysis, Science Policy, Plant Biology, labour productivity, spatial econometrics, climate change, Sociology, sectoral analysis, Environmental Sciences not elsewhere classified, European Union
subnational analysis, Science Policy, Plant Biology, labour productivity, spatial econometrics, climate change, Sociology, sectoral analysis, Environmental Sciences not elsewhere classified, European Union
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).18 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 64 download downloads 77 - 64views77downloads
Data source Views Downloads ZENODO 64 64 LSHTM Research Online 0 13


