Political uncertainty and labour investment efficiency
Jingbo Luo,
Xiaorong Li and
Kam C. Chan
Applied Economics, 2020, vol. 52, issue 43, 4677-4697
Abstract:
We examine the impact of political uncertainty on the labour investment efficiency (LIE) of a firm. Using a sample of Chinese firms, we test the market discipline and managerial entrenchment hypotheses. Our findings suggest that political uncertainty adversely affects LIE. The results are consistent with the managerial entrenchment hypothesis. That is, firms hire more labour in a period of increased information asymmetry due to the political uncertainty, which deteriorates LIE. Our findings are robust to a battery of alternative measures of LIE and estimation methods. We conduct several additional analyses and document that the adverse impact of political uncertainty is stronger when the newly appointed government official is older, the firm is state-owned, the firm belongs to a politically sensitive industry or the firm operates in locations with stringent labour protection. By contrast, when the firm locates in a region with weak Chinese government intervention or after President Xi Jinping’s anti-corruption campaign, the adverse impact of political uncertainty on LIE is less pronounced. Last, we document that after hiring more labour, firms receive tangible and intangible benefits in terms of receiving more loans, collect more government subsidies, and able to re-establish some political connection but at the cost of lower performance.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2020.1739615 (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:applec:v:52:y:2020:i:43:p:4677-4697
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2020.1739615
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().