Commute Time to School and Child Labour: Evidence from China
Liping Chen,
Yang Chen,
Jiada Lin,
Zhuyi Shen and
Zhifeng Wang
Journal of Development Studies, 2025, vol. 61, issue 4, 581-597
Abstract:
Child labour presents a pervasive challenge in developing nations, significantly impacting long-term economic growth by hindering the accumulation of human capital. This study utilises data from the China Family Panel Studies to investigate the impact of commute time to school on child labour. The empirical results indicate that a one-hour increase in a child’s commute time to school correlates with a statistically significant increase of 6.3 percentage points in the likelihood of the child engaging in the labour market, as well as an increase of 2.3 hours in weekly working hours. Moreover, the mechanism analysis suggests that longer commute time reduces children’s learning time, resulting in lower academic performance and educational expectations. Consequently, this increases the likelihood of children joining the labour market during compulsory education. These results underscore the need for enhancing transportation infrastructure and optimising school locations in developing nations to counteract child labour by shortening commute times and improving educational access.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00220388.2024.2434249 (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:jdevst:v:61:y:2025:i:4:p:581-597
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FJDS20
DOI: 10.1080/00220388.2024.2434249
Access Statistics for this article
Journal of Development Studies is currently edited by Howard White, Oliver Morrissey and Ken Shadlen
More articles in Journal of Development Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().