Technology centrality, bilateral knowledge spillovers and mergers and acquisitions
Jingong Huang and
Taojun Xie
Journal of Corporate Finance, 2023, vol. 79, issue C
Abstract:
We construct a search and matching model, which features heterogeneous firms with different management skills and industry-specific knowledge capital, to study individual firms’ behavior in the M&A market. Two firms form a merger if the bilateral knowledge spillovers between them result in a productivity gain, generating a merger surplus larger than the transaction cost. Three key predictions are produced from the model: (i) acquirers with higher technology centrality and management skill exert higher search intensities; (ii) targets with higher technology centrality and lower management skill exert higher search intensities; and (iii) acquirer–target firm pairs with larger bilateral knowledge spillovers generate larger surplus and are more likely to consummate a merger deal. We find strong empirical support for these predictions from merger deals in the U.S. between 1984 and 2020.
Keywords: Knowledge spillovers; M&A; Technology centrality (search for similar items in EconPapers)
JEL-codes: G30 G34 O16 (search for similar items in EconPapers)
Date: 2023
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/S0929119923000159
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:corfin:v:79:y:2023:i:c:s0929119923000159
DOI: 10.1016/j.jcorpfin.2023.102366
Access Statistics for this article
Journal of Corporate Finance is currently edited by A. Poulsen and J. Netter
More articles in Journal of Corporate Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().