Narrow formalisation: Informal workers, social protection and digital registration in India

Harshita Sinha et al.

Global Social Policy2026https://doi.org/10.1177/14680181261416392article
ABDC C
Weight
0.50

What the paper says

Over the last decade, there has been growing global pressure to build digitised social protection systems as a means of enhancing access to welfare. This article explores one such case: ‘e-Shram’, a digital registration platform introduced in India in the aftermath of the COVID-19 pandemic. Emerging as a direct consequence of the hardships faced by informal workers during the pandemic, the article examines e-Shram in this context. It observes that while e-Shram is increasingly portrayed as the first step towards a comprehensive formalisation programme, it fails to address the main gaps and issues highlighted by the pandemic; it provides some registration but maintains substantial deficiencies in service provision. This case study underscores why formalisation should be understood as a multidimensional process, and consequently, why it is important to separate it from particular instances of ‘narrow formalisation’ – commonly formalisations of governance, but not necessarily of work. This analysis carries broader implications for countries pursuing formalisation through digital platforms, emphasising the need for policies that align state objectives with genuine improvements in social and economic protections for informal workers.

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https://doi.org/https://doi.org/10.1177/14680181261416392

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@article{harshita2026,
  title        = {{Narrow formalisation: Informal workers, social protection and digital registration in India}},
  author       = {Harshita Sinha et al.},
  journal      = {Global Social Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/14680181261416392},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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