Temperature and Growth: Seasonal and Non-Linear Effects Using EU Subnational Data
Year: 2026
Type: article
Abstract: We study the impact of temperature on aggregate and sector-specific growth in gross value added using regional EU data observed over 1980−2019 using a mixed frequency dataset. The regional data on economic growth are annual and, since there is wide consensus on projections of a temperature rise more concentrated during fall-winter than spring-summer, we focus on seasonal region-specific temperature shocks and on their interaction also with global seasonal temperature of a given year. The empirical analysis, based on panel local projections, suggests no evidence of adaptation and projections of large losses during hot seasons under a scenario of no implementation of climate change mitigation policies. Investments are important transmission channels driving a negative effect on growth due to a one-degree Celsius increase in the level of seasonal temperature. Moreover, construction is the most vulnerable sector, and the regions with a higher income per capita or competitiveness are the most resilient to temperature shocks.
Authors: Andrea Cipollini, Fabio Parla
Institution: University of Palermo
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,712
OpenAlex ID: W7130512225
