Interrelations Between the EU ETS Carbon Price and the Associated CCU and CDR Technologies

The European Union Emissions Trading System (EU ETS) serves as an environmental policy tool that aims to reduce carbon emissions, but the potential impact of novel carbon management technologies on the carbon price itself remains largely unknown. The aim of this study is to investigate the interrelations between carbon capture and utilization (CCU) and carbon dioxide removal (CDR) technologies and the EU ETS carbon price. To this end, we analyze the relevant detrended time series to examine short-term relationships between energy stock prices, carbon management technologies, and the EU ETS price. Our results reveal a significant positive association between coal prices and carbon prices, and between bioenergy with carbon capture and storage/utilization (BECCS/BECCU) turnover and carbon prices. These findings suggest that market forces may support the economic viability of these technologies in a way that complements the benefits from the EU ETS. Our study highlights critical policy implications regarding the long-term efficacy of the EU ETS and the need to refine carbon pricing mechanisms in alignment with decarbonization goals. This study provides new insights into how CCU/CDR technologies interact with carbon markets, offering guidance for policymakers in the ongoing revision of the EU ETS.

Institutions

Publication Details

Journal
Environmental Modeling & Assessment
Published
2025-10-27
DOI
https://doi.org/10.1007/s10666-025-10069-3
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interrelations Between the EU ETS Carbon Price and the Associated CCU and CDR Technologies

Environmental Modeling & Assessment
Climate Change Policy and Economics
article

Interrelations Between the EU ETS Carbon Price and the Associated CCU and CDR Technologies

article en

Abstract

The European Union Emissions Trading System (EU ETS) serves as an environmental policy tool that aims to reduce carbon emissions, but the potential impact of novel carbon management technologies on the carbon price itself remains largely unknown. The aim of this study is to investigate the interrelations between carbon capture and utilization (CCU) and carbon dioxide removal (CDR) technologies and the EU ETS carbon price. To this end, we analyze the relevant detrended time series to examine short-term relationships between energy stock prices, carbon management technologies, and the EU ETS price. Our results reveal a significant positive association between coal prices and carbon prices, and between bioenergy with carbon capture and storage/utilization (BECCS/BECCU) turnover and carbon prices. These findings suggest that market forces may support the economic viability of these technologies in a way that complements the benefits from the EU ETS. Our study highlights critical policy implications regarding the long-term efficacy of the EU ETS and the need to refine carbon pricing mechanisms in alignment with decarbonization goals. This study provides new insights into how CCU/CDR technologies interact with carbon markets, offering guidance for policymakers in the ongoing revision of the EU ETS.

Environmental Modeling & Assessment
University of Piraeus (GR), National Technical University of Athens (GR)
Openalex Percentile: Top 31%
Climate Change Policy and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Interrelations Between the EU ETS Carbon Price and the Associated CCU and CDR Technologies · Environmental Modeling & Assessment (2025) | TGRS Research Map | TGRS