City-region governance labs: Governance learning by strategic policymakers from European city regions

Linze Schaap, Niels Karsten, Carlo Colombo, Maaike Damen

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

This chapter provides an overview of the conclusions of the research project on “Smart Transformations in City-Regional Law and Governance”. This study analysed the drivers, manifestations, and implications of hybrid city-regional governance. Hybrid city-regional governance is the kind of governance in which both public and private actors as well as public and private instruments go into the governance of a metropolitan area. The focus of the project was on “governance learning”, that is, the cognitive process in which individuals, in interaction, intentionally reflect on the process and procedures of multi-stakeholder decision-making. The data collection for the study included extensive document analyses, fifty-two in-depth interviews and five two-day workshops, called city-region labs, which involved representatives from four European city regions as well as local stakeholders. In these labs, participants from each of the four city regions collectively reflected on their experiences in dealing with the governance challenges that are particular to hybrid governance and, as a group, identified opportunities for improvement. The project succeeded in stimulating a collective learning process that drew on the participants’ experiences and research findings but cannot guarantee long-term effects.
Original languageEnglish
Title of host publicationStrategies for urban network learning
Subtitle of host publication International practices and theoretical reflections
EditorsLeon van den Dool
PublisherPalgrave
Pages59-80
Number of pages22
ISBN (Electronic)978-3-030-36048-1
ISBN (Print)978-3-030-36047-4
DOIs
Publication statusPublished - 2020

Publication series

NamePalgrave Studies in Sub-National Governance
PublisherPalgrave
Number1
Volume2020
ISSN (Print)2523-8248
ISSN (Electronic)2523-8256

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