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The double helix model: Dynamic evolution of knowledge absorptive capacity and innovation efficiency.

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  • Author(s): Cheng L;Cheng L; Qiu Y; Qiu Y; Wang L; Wang L
  • Source:
    PloS one [PLoS One] 2025 Nov 20; Vol. 20 (11), pp. e0336530. Date of Electronic Publication: 2025 Nov 20 (Print Publication: 2025).
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
      Knowledge* ; Models, Theoretical* ; Inventions*; Humans ; Economic Development
    • Abstract:
      Competing Interests: The authors have declared that no competing interests exist.
      This study aims to propose a "double helix" dynamic evolution model of absorptive capacity and innovation efficiency, breaking through traditional linear cognition and revealing the synergistic growth patterns between the two. The research focuses on factors such as absorptive capacity, innovation efficiency, policy environment, and knowledge spillovers, using panel data from 29 countries spanning 1960-2023. By employing fixed-effects models, instrumental variable methods, and constructing composite indicators to measure core variables, the study analyzes the relationships through grouped regressions and robustness checks. The findings reveal a marginally enhancing convex positive effect of absorptive capacity on innovation efficiency. The policy environment strengthens this promoting effect by optimizing the institutional context. In high knowledge spillover environments, the convex relationship remains stable, while in low spillover environments, excessive absorptive capacity suppresses efficiency. Heterogeneity analysis shows that absorptive capacity plays a more significant role in the early stages of economic development and before 2000. Theoretically, this study improves the framework of innovation efficiency, and practically, it provides a basis for formulating precise innovation policies and dynamically adjusting innovation strategies for enterprises.
      (Copyright: © 2025 Cheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
    • References:
      Environ Sci Pollut Res Int. 2023 Oct;30(46):102295-102312. (PMID: 37665439)
    • Publication Date:
      Date Created: 20251120 Date Completed: 20251120 Latest Revision: 20251123
    • Publication Date:
      20251123
    • Accession Number:
      PMC12633892
    • Accession Number:
      10.1371/journal.pone.0336530
    • Accession Number:
      41264583