Policy Learning and Adaptation in governance: a Co-evolutionary Perspective

  • Kristof Van Assche
  • , R. Beunen
  • , Stefan Verweij
  • , Joshua Evans
  • , Monica Gruezmacher*
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    7   Link opens in a new tab Citations (Web of Science)

    Abstract

    This paper introduces the concepts and ideas that frame this special issue on co-evolution in governance, and their implications for policy learning and adaptation. It offers a brief overview of co-evolutionary approaches to governance and their elementary connections with systems theories, post-structuralism, institutionalism, and actor-network theory, and explores how they are connected to co-evolution in governance. Co-evolutionary approaches differ from other influential understandings of knowledge and learning in policy and governance. It furthermore presents a typology of learning in governance and systematically discusses how each type is affected by patterns of coevolution in governance.
    Original languageEnglish
    Article number00953997211059165
    Pages (from-to)1226-1254
    Number of pages29
    JournalAdministration & Society
    Volume54
    Issue number7
    Early online date26 Nov 2021
    DOIs
    Publication statusPublished - Aug 2022

    Keywords

    • govenrance
    • learning
    • innovation
    • co-evolution
    • adaptation
    • COEVOLUTION
    • DESIGN
    • MANAGEMENT
    • POWER
    • ORGANIZATION
    • INSTITUTIONS
    • CITY KNOWLEDGE
    • DYNAMICS
    • INNOVATION SYSTEMS
    • DIFFUSION
    • governance
    • policy

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