Construction workers in Bengaluru are covered by a welfare framework that few of them experience: boards with substantial cess funds on one side, and on the other, workers who migrate between sites, hold fragmented proof of employment and rarely hear of a scheme until a crisis arrives. The result is a persistent gap between entitlement and access — eligible workers remain unregistered, registered workers do not know what they can claim, and benefits such as medical assistance or children's education support go unused by the very population that pays for them through the cess embedded in every building they raise. Field-level evidence on how much workers actually know, how many are registered, and what specifically blocks registration and utilisation is thin, localised and dated. Without such evidence, social workers, boards and NGOs cannot target the weakest link — awareness, documentation or delivery. This study measures that gap directly on three Bengaluru sites and converts the findings into a social-action response.
Abstract
Construction employs one of the largest segments of India's unorganised workforce, and the BOCW Acts of 1996 place a dedicated welfare architecture around it. This dissertation examines how much of that architecture actually reaches workers on Bengaluru sites. Using a structured Kannada interview schedule with about 120 workers across three sites of different scale, supported by key-informant interviews and an observation of a welfare-board facilitation centre, the study measures awareness, registration and utilisation, tests their association with workers' characteristics, and identifies the dominant barriers. It ends with an awareness camp and referrals as a social-action component.
Introduction: the policy context
The BOCW Act, 1996 requires registration of workers who have completed eighteen years but not sixty, and who have worked at least ninety days in building or construction work during the preceding twelve months. The Welfare Cess Act, 1996 funds state boards through a cess of one to two per cent of construction cost, currently levied at one per cent. The Karnataka Building and Other Construction Workers' Welfare Board administers benefits such as medical assistance for major ailments (Karmika Chikitsa Bhagya), educational assistance for workers' children (Kalike Bhagya), marriage assistance (Gruha Lakshmi Bond), maternity support, accident relief, pension and funeral expenses. Separately, the Ministry of Labour and Employment's e-Shram portal, launched in August 2021, registers unorganised workers aged 16–59 in a national database meant to connect them to social-security schemes.
The gap this study addresses
Audits and newspaper reports repeatedly find low registration relative to the estimated worker population, but student-level, ward-level evidence is rare. Why does a registered worker not use a scheme? Why does an eligible worker not register — documentation, migration, the ninety-day proof across multiple employers, or simple unawareness? Worker-side data on these questions, with policy-side views from the board and NGOs, is exactly what a labour-welfare dissertation can contribute.
Proposed study
- A cross-sectional field study at three purposively selected sites: a large private residential project, an infrastructure worksite and a small-contractor site.
- A structured interview schedule in Kannada covering socio-demographics, board and e-Shram registration, awareness of each benefit, utilisation, and barrier items.
- Key-informant interviews (board facilitation-centre official, site supervisor, NGO field coordinator) and a short observation of the facilitation-centre process.
- SPSS analysis: descriptives, awareness indices, and chi-square tests of association.
- A social-action deliverable: an on-site awareness camp with the board's materials and referral of willing unregistered workers to the facilitation centre.
Feasibility
The college's existing field-work ties and the board's public facilitation centres make access realistic; the schedule is short enough for a lunch-break interview; costs are limited to printing and travel; and the design is observational, so the ethical load is consent, anonymity and referral rather than clinical risk.
Design: descriptive cross-sectional field study with a triangulated, multi-source method (worker survey + key informants + observation), following the college's research-ethics process and permissions from site engineers and the welfare board's facilitation centre.
Sampling: three sites purposively selected to represent different scales and employment arrangements; within each site, consecutive sampling of adult workers (18–60 years, at least six months in the trade) until about 120 interviews, distributed roughly 50 / 40 / 30 across the three sites.
Instruments: (1) a structured interview schedule in Kannada — socio-demographics, migration status, trade and work history, board and e-Shram registration, aided awareness of each benefit from a checklist drawn from the board's published scheme list, utilisation, and barrier items; (2) key-informant guides; (3) a facilitation-centre observation note (documents demanded, steps, time taken, help available). The schedule is translated and back-translated and pre-tested on ten workers at a fourth, non-study site.
| Phase | Weeks | Activities |
|---|
| Proposal and ethics | 1–4 | Synopsis, college research-cell clearance, permissions, instrument drafting |
| Instrument preparation | 5–7 | Translation, back-translation, pre-test on 10 workers, refinement |
| Worker survey | 8–12 | About 120 interviews across three sites, in lunch breaks and shift ends |
| Key informants and observation | 10–13 | Board facilitation-centre visit and observation, supervisor and NGO interviews |
| Analysis | 14–17 | Coding, Excel entry, SPSS descriptives and chi-square tests |
| Report and social action | 18–20 | Dissertation writing, awareness camp, referrals, viva preparation |
Analysis plan: frequencies and cross-tabulations for registration and utilisation; a simple awareness score (one point per correctly identified benefit) summarised as means by site; chi-square tests for awareness versus duration in the trade, site type and migration status at p < 0.05. All records carry study codes only — no names, Aadhaar or any government ID number is ever recorded.