Does digital financial inclusion benefit the low-wage workers and reduce inequality? Evidence from China general social survey
Chenlu Hao,
Wenyi Lv and
Leng Yu
Applied Economics Letters, 2024, vol. 31, issue 21, 2289-2299
Abstract:
This study re-analyzes the relationship between digital financial inclusion and the wages of low-wage workers in China using the conditional quantile and quantile selection model. The study finds that after correcting for sample selection bias, digital financial inclusion significantly increases the wage income of low-wage workers and reduces the rural-urban wage gap. These effects diminish as the wage level rises to the median wage, and there are three potential mechanisms.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2023.2226905 (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:21:p:2289-2299
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2023.2226905
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 ().