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A global patent dataset for the bioeconomy

Author

Listed:
  • Kriesch, Lukas

    (Justus Liebig University Giessen)

  • Losacker, Sebastian

    (Justus Liebig University Giessen)

Abstract

Many governments worldwide have proposed transitioning from a fossil-based economy to a bioeconomy to address climate change, resource depletion, and other environmental concerns. The bioeconomy utilizes renewable biological resources across all sectors and is strongly founded on scientific advances and technological progress. Given that the bioeconomy spans multiple sectors, industries, and technological fields, tracking it is challenging, and both policymakers and researchers lack a comprehensive understanding of the bioeconomy transition's progress. We aim to solve this problem by providing a dataset on patents, a commonly used indicator to study the development of novel knowledge and technological change, that identifies bioeconomy-related inventions. We leverage the advanced semantic understanding embedded in pre-trained transformer models to identify bioeconomy-related patents based on patent abstracts, and we use a topic modelling approach to identify several coherent technological fields within the corpus of bioeconomy patents. The dataset can be linked to other patent databases and therefore provides rich opportunities to study the technological knowledge base of the bioeconomy.

Suggested Citation

  • Kriesch, Lukas & Losacker, Sebastian, 2024. "A global patent dataset for the bioeconomy," Papers in Innovation Studies 2024/8, Lund University, CIRCLE - Centre for Innovation Research.
    • Handle: RePEc:hhs:lucirc:2024_008
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    References listed on IDEAS

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    Cited by:

    1. Sang Kwon Yi & Chie Hoon Song, 2025. "A Dual-Level Prediction Approach for Uncovering Technology Convergence Opportunities: The Case of Electric Vehicles," Sustainability, MDPI, vol. 17(8), pages 1-23, April.
    2. Lhuillery, Stephane & Befort, Nicolas & Atmane, Samih, 2025. "Biotechnology or bioeconomy: Six of one and half a dozen of the other?," Ecological Economics, Elsevier, vol. 229(C).
    3. Abbasiharofteh, Milad & Hermans, Frans, 2025. "Using archetypal analysis to derive a typology of knowledge networks in European bioclusters," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 59(1), pages 1-17.

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    Keywords

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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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