Can China learn from Hong Kong's experience in fighting corruption?

Shaomin Li

Global Economic Review, 2004, vol. 33, issue 1, 1-9

Abstract: Widespread corruption in mainland China adversely affects the overall economy in general and international business in particular. Prior to the establishment of the Independent Commission against Corruption (ICAC) in 1974, corruption was also rampant in Hong Kong. The ICAC effectively cleaned corruption in Hong Kong within a short period of time. Hong Kong's success in this area has prompted the Chinese government to learn from Hong Kong's experience. This article reviews the factors that contributed to Hong Kong's success in fighting corruption and discusses whether China can learn from the Hong Kong experience. From this, we can conclude that, first, Hong Kong's experience demonstrates that a corruption-prone culture can be changed in a relatively short period of time; second, in order for China to learn from Hong Kong's experience, there must be substantial changes in China's political and economic institutions.

Keywords: Corruption; Constitutional reform; Hong Kong; China; Independent Commission against Corruption (ICAC) (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/12265080408449838 (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:glecrv:v:33:y:2004:i:1:p:1-9

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RGER20

DOI: 10.1080/12265080408449838

Access Statistics for this article

Global Economic Review is currently edited by Kap-Young Jeong and Taeyoon Sung

More articles in Global Economic Review from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().