Can weather variables and electricity demand predict carbon emissions allowances prices? Evidence from the first three phases of the EU ETS

Mohammadehsan Eslahi and Paolo Mazza
Additional contact information
Mohammadehsan Eslahi: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique
Paolo Mazza: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: This study examines the predictive impact of weather conditions and electricity demand on hourly spot prices of emissions allowances during the first three phases of the European Union Emissions Trading System (EU ETS) (2005–2019). We propose an original methodology for constructing European-scale electricity demand and weather indices and characterize the relationship between those indices and emissions allowances prices by means of an advanced predictive modeling technique (Extreme Gradient Boosting). Empirical findings assert that electricity demand and the weather variables under study were of importance for estimating EUA prices during the first three phases of the EU ETS, with air temperature and electricity demand being most relevant to emissions allowances prices. Conversely, total precipitation and relative humidity proved to be the least relevant variables to the outcome. The results also indicate that the relationship between emissions allowances prices and their weather-related predictors was not linear in the studied period. The paper contributes to the growing body of literature on the structural determinants of carbon prices in the EU ETS and enhances our understanding of the impact of climate and weather variability – in the provision of renewable energy production – on the most prominent market-based measure to reduce CO emissions in Europe.

Date: 2023-12
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Published in Ecological Economics, 2023, 214, pp.107985. ⟨10.1016/j.ecolecon.2023.107985⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04282454

DOI: 10.1016/j.ecolecon.2023.107985

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().