Anti-corruption campaign in China: an empirical investigation
Li Yang,
Branko Milanovic and
Yaoqi Lin
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
We create a database of officials who have been found guilty of corruption in China in the period 2012-21 with their personal characteristics and the amount of embezzled funds. We use it to investigate the correlates of corruption, estimate the effects of corruption on inequality, and find the expected increase in officials' income due to corruption and the gain in income distribution ranking. We find that the amount of corruption is positively associated with education, administrative (hierarchical) level of the official, and years of membership in the Communist Party. The sample of corrupt officials belongs to the upper income ranges of Chinese income distribution even without corruption. But corruption allows them to accede to an even higher position in income distribution. While only one-half of the corrupt officials would be in the top 5 percent of China's urban distribution without illegal incomes, practically all are in the top 5 percent when corrupt income is included.
Keywords: China; corruption; income distribution (search for similar items in EconPapers)
JEL-codes: D53 D73 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2024-12-01
New Economics Papers: this item is included in nep-cna
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in European Journal of Political Economy, 1, December, 2024, 85. ISSN: 0176-2680
Downloads: (external link)
http://eprints.lse.ac.uk/124073/ Open access version. (application/pdf)
Related works:
Working Paper: Anti-Corruption Campaign in China: An Empirical Investigation (2023) 
Working Paper: Anti-corruption campaign in China: An empirical investigation (2023) 
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:ehl:lserod:124073
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().