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Mapping the landscape of carbon dioxide removal research : A bibliometric analysis

Author

Listed:
  • Romain Presty

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay, IFP School, IFPEN - IFP Energies nouvelles)

  • Olivier Massol

    (IFP School, IFPEN - IFP Energies nouvelles, LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay, City University of London)

  • Emma Jagu

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay, IFP School, IFPEN - IFP Energies nouvelles)

  • Pascal da Costa

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay)

Abstract

An intense global research effort on Carbon Dioxide Removal (CDR) technologies is generating a rapidly expanding scientific literature. These contributions stem from various disciplines and investigate various CDR concepts and their potential implications. This study conducts an updated analysis of the international research effort on CDR from 2012 to 2023, examining 7,893 publications using bibliometric techniques. We focus on the geographic distribution of technology-specific research and the funding driving this research. Significant publication growth is observed post-2015, particularly after 2018 and in 2023, driven primarily by the EU, China, and the US. Notably, biochar, afforestation/reforestation, and soil carbon sequestration are among the most researched CDR options, with direct air carbon capture and storage (DACCS), bioenergy carbon capture and storage (BECCS), and Blue Carbon also receiving substantial attention, especially in 2023. Analysis of scientific funding patterns aligns with these trends. Based on these findings, the study proposes a knowledge roadmap to elucidate emerging trends in CDR literature, offering insights for future research and policy development.

Suggested Citation

  • Romain Presty & Olivier Massol & Emma Jagu & Pascal da Costa, 2024. "Mapping the landscape of carbon dioxide removal research : A bibliometric analysis," Post-Print hal-04688358, HAL.
    • Handle: RePEc:hal:journl:hal-04688358
    DOI: 10.1088/1748-9326/ad71e0
    Note: View the original document on HAL open archive server: https://hal.science/hal-04688358v1
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