Work

Priložnosti za indijske ženske pri priložnostnih delih brez uporabe digitalnih platform

Year: 2025

Type: article

Abstract: Flexible working hours can provide a better option for Indian women entering the workforce. This can be accomplished by engaging in gig jobs without depending on a digital platform, as many individuals have limited access to technology. Casual labourers and self-employed workers are considered gig workers who can perform their jobs without utilising digital platforms. The Probit model identifies the factors that can enhance the likelihood of such gig jobs occurring without the use of a digital platform for Indian women. By employing a Bivariate Probit regression model based on Periodic Labour Force Survey data for 2022–23 and addressing endogeneity, the paper demonstrates that both formal and informal vocational training positively influence women’s participation in gig jobs without relying on any digital platform. However, the impact of informal training is more pronounced.

Source: Repository of the University of Primorsk (University of Primorska)

Authors: Santra, Sayantani, Kundu, Amit

Institution: Jadavpur University

Language: English

Topic: Digital Economy and Work Transformation

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDGs: Gender equality, Decent work and economic growth, Reduced inequalities, Industry, innovation and infrastructure, No poverty

Open Access status: green

OpenAlex ID: W7130790502

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