The impact of information communication technology adoption on rural labourers’ off-farm employment: an analysis based on China family panel studies
Lan Fang,
Yurong Quan,
Hui Mao and
Shaojian Chen
Applied Economics, 2024, vol. 56, issue 57, 7861-7875
Abstract:
Rural family income growth in China depends significantly on off-farm employment. Using data from the China Family Panel Studies, this research examines the influence of information and communication technology (ICT) on off-farm employment of rural workers and the underlying mechanism. We find that ICT has a positive impact on promoting off-farm employment among rural workers. Furthermore, the analysis suggests that ICT affects off-farm employment of rural workers by enhancing their risk preferences. Specifically, rural workers with higher risk preferences are more likely to engage in off-farm employment. In addition, the positive impact of ICT on off-farm employment is more pronounced among rural workers with stronger learning abilities, active learning habits, and higher learning frequency and social frequency of Internet use. This study provides valuable insights on how to improve off-farm employment opportunities for rural workers, thereby reducing the income gap between urban and rural areas.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2023.2289901 (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:56:y:2024:i:57:p:7861-7875
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2023.2289901
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 ().