Is Gender a Barrier to Access Vocational Training in India? An Empirical Analysis based on Periodic Labour Force Survey Data
Sayanti Roy (),
Arijita Dutta and
Montu Bose ()
Additional contact information
Sayanti Roy: University of Calcutta
Montu Bose: Tata Institute of Social Sciences (TISS Mumbai)
The Indian Journal of Labour Economics, 2023, vol. 66, issue 3, No 11, 885-909
Abstract:
Abstract Given the increasing pace of globalisation and technological changes on the one hand and low access to general education in developing countries on the other, possession of knowledge and skill has become critically important. India positioned at the verge of transformation to become a knowledge-based economy, unfortunately has low-skilled less market-ready section of people, particularly women, for whom education in general stream still remains a panacea. Vocational training (VT) is an important vehicle of skill development, which can offer those women a second chance to gather skill and successfully participate in labour market. However, evidence suggests that in spite of direct government intervention, they often fail to benefit from skilling programmes. While the existing literature primarily focuses on why women who get VT still cannot get high-earning jobs unlike the men, this paper, based on NSSO Periodic Labour Force Survey (PLFS) 2018–19 unit-level data, tries to shade light on the access to vocational training of women vis-à-vis men in India and explore whether gender works as an obstacle for accessing vocational training in India and an eastern state, namely West Bengal. Results find that women suffer from disproportionately low access to VT across all education groups. Access is particularly meagre for low general education, indicating that as hypothesised, VT cannot substitute the lack of general education for the women. Even if the women get access to VT, the options available to them are limited and gender-stereotyped.
Keywords: General education; Vocational training; Skill development; Gender-stereotyped; Logistic regression (search for similar items in EconPapers)
JEL-codes: C5 I24 J21 J7 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s41027-023-00461-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:ijlaec:v:66:y:2023:i:3:d:10.1007_s41027-023-00461-6
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/41027
DOI: 10.1007/s41027-023-00461-6
Access Statistics for this article
The Indian Journal of Labour Economics is currently edited by Alakh Sharma
More articles in The Indian Journal of Labour Economics from Springer, The Indian Society of Labour Economics (ISLE) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().