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Daniel Marcel Härle
(Daniel Marcel Haerle)

Personal Details

First Name:Daniel
Middle Name:Marcel
Last Name:Haerle
Suffix:
In ASCII letters:
RePEc Short-ID:phx7
[This author has chosen not to make the email address public]

Affiliation

(9%) Afdeling Ruimtelijke Economie
School of Business and Economics
Vrije Universiteit Amsterdam

Amsterdam, Netherlands
https://sbe.vu.nl/nl/afdelingen-en-instituten/spatial-economics/
RePEc:edi:vrevunl (more details at EDIRC)

(91%) Directorate for Science, Technology and Industry (DSTI)
Organisation de Coopération et de Développement Économiques (OCDE)

Paris, France
http://www.oecd.org/sti/
RePEc:edi:scoecfr (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Flavio Calvino & Hélder Costa & Daniel Haerle, 2026. "Digital technology diffusion in the age of AI: Cross-country evidence from microdata," OECD Science, Technology and Industry Working Papers 2026/01, OECD Publishing.
  2. Flavio Calvino & Antoine Dechezleprêtre & Daniel Haerle, 2025. "How can the digital transformation affect the net-zero transition?: A conceptual framework for the "twin" transition," OECD Science, Technology and Industry Working Papers 2025/17, OECD Publishing.
  3. Flavio Calvino & Daniel Haerle & Sarah Liu, 2025. "Is generative AI a General Purpose Technology?: Implications for productivity and policy," OECD Artificial Intelligence Papers 40, OECD Publishing.
  4. Bergman, Aaron & Krupnick, Alan & Haerle, Daniel & Bioret, Lucie & Zhu, Yuqi & Shih, Jhih-Shyang, 2023. "Demand-Pull Tools for Innovation in the Cement and Iron and Steel Sectors," RFF Reports 23-01, Resources for the Future.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Flavio Calvino & Daniel Haerle & Sarah Liu, 2025. "Is generative AI a General Purpose Technology?: Implications for productivity and policy," OECD Artificial Intelligence Papers 40, OECD Publishing.

    Cited by:

    1. C. Castaldi & F. Castellacci & A. Fronzetti Colladon & L. Segneri & F. Venturini, 2026. "Measuring AI innovation with trademark data," Papers 2607.18795, arXiv.org.
    2. Calvino, Flavio & Fontanelli, Luca, 2026. "AI users are not all alike: The characteristics of French firms buying and developing AI," Research Policy, Elsevier, vol. 55(5).
    3. Dumont, Michel & Rayp, Glenn, 2025. "Belgian start-ups in Artificial Intelligence," MPRA Paper 126994, University Library of Munich, Germany.
    4. Francesco Filippucci & Peter Gal & Katharina Laengle & Matthias Schief & Muhammed A. Yildirim, 2026. "AI Meets Trade: Global Linkages and the Cross-country Distribution of the Gains from AI," Growth Lab Working Papers 272, Harvard's Growth Lab.
    5. Flavio Calvino & Luca Fontanelli, 2026. "Decoding AI: an early look at how French firms use AI," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 51-93, March.

  2. Bergman, Aaron & Krupnick, Alan & Haerle, Daniel & Bioret, Lucie & Zhu, Yuqi & Shih, Jhih-Shyang, 2023. "Demand-Pull Tools for Innovation in the Cement and Iron and Steel Sectors," RFF Reports 23-01, Resources for the Future.

    Cited by:

    1. Zhu, Yuqi & Bergman, Aaron, 2025. "Policies for Building the Technology Performance Insurance Market," RFF Reports 25-03, Resources for the Future.
    2. Bergman, Aaron & Krupnick, Alan & Nehrkorn, Katarina & Zhu, Yuqi, 2026. "Overcoming Demand Barriers to Hydrogen Use in Heavy-Duty Trucks and Ports," RFF Working Paper Series 26-03, Resources for the Future.

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Corrections

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