Author
Listed:
- Zhongyuan Wang
- Su Yun Woo
Abstract
Political representation centers on who claims to represent what and the extent to which the audience feels being represented. The mainstream body of scholarship on political representation has focused on electoral-based representation in the context of liberal-democratic settings. China provides an excellent case to study the phenomenon of non-electoral forms of political representation. This article seeks to address the question of how do the Chinese authorities enhance political representation by public deliberation in social welfare policy? Drawing on first-hand official documents and interview accounts from fieldwork conducted in Guangxi and Hubei, as well as secondary data sources, this article undertakes a mechanism-based comparative case study of these two localities, examining the different forms of citizen deliberation in poverty alleviation programs. It reveals that the party regime has developed an increasingly sophisticated set of strategies in establishing representation by deliberative consultation. Furthermore, two distinctive forms of deliberative representation, the state-authoritative model and the light-empowered model can be discerned from the different deliberative participatory experiences of Guangxi and Hubei. The deliberative elements introduced into the poverty alleviation program demonstrate that with a deeper and more consequential engagement of the citizens in welfare policy decision making, there can be an empowered form of political representation generated even in a non-electoral setting.
Suggested Citation
Zhongyuan Wang & Su Yun Woo, 2022.
"Deliberative representation: how Chinese authorities enhance political representation by public deliberation,"
Journal of Chinese Governance, Taylor & Francis Journals, vol. 7(4), pages 583-615, October.
Handle:
RePEc:taf:rgovxx:v:7:y:2022:i:4:p:583-615
DOI: 10.1080/23812346.2020.1870311
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rgovxx:v:7:y:2022:i:4:p:583-615. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rgov .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.