Ambiguity and conflict in pension policies implementation: evidence from China

Lei Guo and Yuhao Ba

Journal of Chinese Governance, 2022, vol. 7, issue 2, 320-339

Abstract: While the literature generally acknowledges that target groups affect policy implementation, we argue that a more detailed investigation of the mechanisms and factors associated with such effect is necessary. Drawing on the Ambiguity-Conflict Model, we explore how target groups’ perceived policy ambiguity and conflict relate to the implementation of Corporate Employee Pension (CEP) policies in China. Empirically, we utilize a unique sample of all firms listed on China’s A-stock market from 2008 to 2014 and hypothesize that target groups’ perceived policy ambiguity and conflict negatively associate with the implementation outcomes of the CEP policies in China. Our results confirm such a relationship and suggest that the implementation outcomes, from most favorable to least favorable, follow the order: Administrative Implementation, Political Implementation or Experimental Implementation, and Symbolic Implementation. Such results are robust to both state-owned and non-state-owned enterprises. Our research offers implications for both scholars and practitioners of pension policies in China.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23812346.2020.1809312 (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:2:p:320-339

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rgov20

DOI: 10.1080/23812346.2020.1809312

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 ().