A refined experimentalist governance approach to incremental policy change: the case of process-tracing China’s central government infrastructure PPP policies between 1988 and 2017
Huanming Wang,
Bin Chen and
Joop Koppenjan
Journal of Chinese Governance, 2022, vol. 7, issue 1, 27-51
Abstract:
How public policies change incrementally over time remains understudied. This paper contributes to the studies of incremental policy change by integrating the theories of policy layering and learning into a theoretical framework of experimental governance (EG). Using a mixed research method, we apply this framework to process-tracing the changing trajectory of China’s central government infrastructure public-private partnership (PPP) policies from 1988 to 2017 by looking at evolving policy goals, policy measures, and policy co-issuing networks. Results suggest that China’s central government infrastructure PPP policy change follows a refined EG approach in which policies change incrementally in a layering pattern, primarily driven by learning. Findings provide a new account of incremental policy change.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23812346.2021.1898151 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rgovxx:v:7:y:2022:i:1:p:27-51
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rgov20
DOI: 10.1080/23812346.2021.1898151
Access Statistics for this article
Journal of Chinese Governance is currently edited by Sujian Guo
More articles in Journal of Chinese Governance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().