AI applications and supply chain concentration

Minghui Han, Tianjian Yang, Junhao Zhong and Yilin Zhong

Applied Economics Letters, 2024, vol. 31, issue 20, 2099-2103

Abstract: This study explores the relationship between AI applications and supply chain concentration. We measure the AI applications of Chinese listed firms based on text analytics on annual reports from 2007 to 2021. Our results show that AI applications reduce supply chain concentration, and these results are robust to endogeneity examination. In addition, AI reduces companies’ supply chain concentration by enhancing their bargaining power and, in turn, improving their operational performance.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2023.2210813 (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:apeclt:v:31:y:2024:i:20:p:2099-2103

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2023.2210813

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().