EconPapers    
Economics at your fingertips  
 

Geographic proximity and M&As: Evidence from China

Chao Li, Han Li and Zhao Zhao

Emerging Markets Review, 2022, vol. 51, issue PB

Abstract: This paper investigates the impact of geographic proximity on mergers and acquisitions (M&As). In recent years, the Chinese government has invested heavily in high-speed railway (HSR) construction, which has greatly reduced the commuting time between connected cities and facilitated cross-city investments. Therefore, we exploit whether two cities were connected by an HSR as a quasi-natural experiment to identify the causal relationship between geographic proximity and M&As. We find that the number of M&As between two HSR-connected cities increases by 9.6% after adopting HSR service. Additional results show that HSRs have reduced the average time of completing M&A transactions by 29.4% and increased the subsequent economic performance of the acquirers. A mechanism analysis shows that HSRs promote M&As mainly by alleviating the information asymmetry between acquirers and targets and promoting monitoring on targets.

Keywords: High-speed railways; Mergers and acquisitions; Geographic proximity; Information asymmetry; Monitoring (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1566014122000097
Full text for ScienceDirect subscribers only

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:eee:ememar:v:51:y:2022:i:pb:s1566014122000097

DOI: 10.1016/j.ememar.2022.100892

Access Statistics for this article

Emerging Markets Review is currently edited by Jonathan A. Batten

More articles in Emerging Markets Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ememar:v:51:y:2022:i:pb:s1566014122000097