Looking Beyond Traditional Drivers: Climate Effects on Eurozone Sovereign Yields

In the present study, we examine the relationship among sovereign yields, temperature and precipitation using a large monthly panel data set, which consists of 20 eurozone members, over the period 1980M1–2023M4. To account for possible asymmetries along the distribution of the climate variables, we assume a quadratic modelling specification and apply various mean panel estimation techniques of heterogeneous coefficients. In the next step, to consider possible non-linearities in the distribution of the dependent variables (sovereign yields), we apply the quantile via moments methodology of Machado and Santos Silva, which accounts for possible cross-sectional dependence and slope heterogeneity. We contribute to the existing literature in two main ways. First, we apply a quantile methodology that provides a more in-depth analysis of the climate effects along the distribution of the sovereign yields, especially in the presence of non-normally distributed data. Second, we find that climate change, as proxied by higher temperatures or lower precipitation (drought), will increase the sovereign risk of all countries, but the magnitude of the impact will be higher for countries that are already characterised by higher sovereign risk levels and/or face extreme weather conditions (hotter countries and/or countries with low levels of precipitation). JEL Codes: C23, G15, H63, Q51, Q54

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Publication Details

Journal
Journal of Interdisciplinary Economics
Published
2025-11-04
DOI
https://doi.org/10.1177/02601079251387794
Primary Topic
Economic Policies and Impacts
Type
article
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article

Looking Beyond Traditional Drivers: Climate Effects on Eurozone Sovereign Yields

Panagiotis Palaios, Flora Leventis
Journal of Interdisciplinary Economics
Economic Policies and Impacts
article

Looking Beyond Traditional Drivers: Climate Effects on Eurozone Sovereign Yields

Panagiotis Palaios, Flora Leventis
article en

Abstract

In the present study, we examine the relationship among sovereign yields, temperature and precipitation using a large monthly panel data set, which consists of 20 eurozone members, over the period 1980M1–2023M4. To account for possible asymmetries along the distribution of the climate variables, we assume a quadratic modelling specification and apply various mean panel estimation techniques of heterogeneous coefficients. In the next step, to consider possible non-linearities in the distribution of the dependent variables (sovereign yields), we apply the quantile via moments methodology of Machado and Santos Silva, which accounts for possible cross-sectional dependence and slope heterogeneity. We contribute to the existing literature in two main ways. First, we apply a quantile methodology that provides a more in-depth analysis of the climate effects along the distribution of the sovereign yields, especially in the presence of non-normally distributed data. Second, we find that climate change, as proxied by higher temperatures or lower precipitation (drought), will increase the sovereign risk of all countries, but the magnitude of the impact will be higher for countries that are already characterised by higher sovereign risk levels and/or face extreme weather conditions (hotter countries and/or countries with low levels of precipitation). JEL Codes: C23, G15, H63, Q51, Q54

Journal of Interdisciplinary Economics
The American College of Greece (GR)
Openalex Percentile: Top 59%
Economic Policies and Impacts
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