What do we learn from stock price reactions to China’s first announcement of anti-corruption reforms?

Chen LIN; Randall MORCK; Bernard YEUNG; Xiaofeng ZHAO

doi:10.1016/j.jfds.2023.100096

What do we learn from stock price reactions to China’s first announcement of anti-corruption reforms?

Chen LIN, Randall MORCK, Bernard YEUNG, Xiaofeng ZHAO

FACULTY OF BUSINESS

Research output: Journal Publications › Journal Article (refereed) › peer-review

6 Citations (Scopus)

Abstract

China’s markets gained 3.86% around December 4, 2012, when the Party announced anti-corruption reforms. State-owned enterprises (SOEs) with higher past entertainment and travel costs (ETC) gained more. NonSOEs gained in more liberalized provinces, especially those with high past ETC, productivity, growth opportunities, and external financing. NonSOEs lost in the least liberalized provinces, especially those with high past ETC. These findings support investors’ expect reduced official corruption to create value overall, reduce SOE waste, lower bureaucratic barriers to efficient resource allocation where markets function, and impede business in unliberalized provinces, where “getting things done” still requires investment in greasing bureaucratic gears.

Original language	English
Article number	100096
Number of pages	21
Journal	Journal of Finance and Data Science
Volume	9
Early online date	4 Mar 2023
DOIs	https://doi.org/10.1016/j.jfds.2023.100096
Publication status	Published - Nov 2023

Bibliographical note

We are grateful for comments from the guest editor of the special issue on FinTech research and the Chinese financial market, two anonymous referees, Sumit Agarwal, Philip H. Dybvig, Raymond Fisman, Hanming Fang, Ali Hortaçsu, Yongmiao Hong, James Levinsohn, Hongbin Li, and Yingyi Qian. We also appreciate the comments from the seminar participants at the National Bureau of Economic Research (NBER) May 2015 Chinese Economy Workshop, the ABFER 2016, the 2nd China–Europe Conference: Transparency, Economic Institutions and Governance, and The 2016 Greater China Area Finance Conference. We would like to thank researchers from The Chinese University of Hong Kong, Columbia University, Hebrew University of Jerusalem, Hong Kong Monetary Authority, National University of Singapore (NUS) Business School, Lingnan University, the University of British Columbia, University of California Los Angeles (UCLA) Anderson School of Management, the University of Chicago, the University of Maryland, and the University of Philadelphia. Randall Morck would like to thank the Bank of Canada for partial funding.

Publisher Copyright:
© 2023 The Authors

Keywords

Corruption
Market Liberalization
Shareholder Value
Event Study
China
Shareholder value
Market liberalization
Event study

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jfds.2023.100096Licence: CC BY-NC-ND

Cite this

@article{6b1ca5da4c414f2ebd7bc5a2f9d53763,

title = "What do we learn from stock price reactions to China{\textquoteright}s first announcement of anti-corruption reforms?",

abstract = "China{\textquoteright}s markets gained 3.86% around December 4, 2012, when the Party announced anti-corruption reforms. State-owned enterprises (SOEs) with higher past entertainment and travel costs (ETC) gained more. NonSOEs gained in more liberalized provinces, especially those with high past ETC, productivity, growth opportunities, and external financing. NonSOEs lost in the least liberalized provinces, especially those with high past ETC. These findings support investors{\textquoteright} expect reduced official corruption to create value overall, reduce SOE waste, lower bureaucratic barriers to efficient resource allocation where markets function, and impede business in unliberalized provinces, where “getting things done” still requires investment in greasing bureaucratic gears.",

keywords = "Corruption, Market Liberalization, Shareholder Value, Event Study, China, Shareholder value, Market liberalization, Event study",

author = "Chen LIN and Randall MORCK and Bernard YEUNG and Xiaofeng ZHAO",

note = "We are grateful for comments from the guest editor of the special issue on FinTech research and the Chinese financial market, two anonymous referees, Sumit Agarwal, Philip H. Dybvig, Raymond Fisman, Hanming Fang, Ali Horta{\c c}su, Yongmiao Hong, James Levinsohn, Hongbin Li, and Yingyi Qian. We also appreciate the comments from the seminar participants at the National Bureau of Economic Research (NBER) May 2015 Chinese Economy Workshop, the ABFER 2016, the 2nd China–Europe Conference: Transparency, Economic Institutions and Governance, and The 2016 Greater China Area Finance Conference. We would like to thank researchers from The Chinese University of Hong Kong, Columbia University, Hebrew University of Jerusalem, Hong Kong Monetary Authority, National University of Singapore (NUS) Business School, Lingnan University, the University of British Columbia, University of California Los Angeles (UCLA) Anderson School of Management, the University of Chicago, the University of Maryland, and the University of Philadelphia. Randall Morck would like to thank the Bank of Canada for partial funding. Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = nov,

doi = "10.1016/j.jfds.2023.100096",

language = "English",

volume = "9",

journal = "Journal of Finance and Data Science",