Outcome-linked financing can improve the employability results of skill development programmes. Discuss with reference to recent schemes for SCs, OBCs and Safai Karamcharis.

Outcome-linked financing pays training providers for results such as placement, not just for enrolment. PM-DAKSH (MoSJE, 2020-21) serves SCs, OBCs, DNTs and Safai Karamcharis, and its record shows both what this model can do and where it falls short.

How outcome-linking improves employability

• Placement-linked instalment: institutes must place at least 70% of trainees in wage or self-employment. If they miss this, they lose the 3rd instalment (30% of training cost) [1].
• Better than input-funded models: about 51% were placed (96,162 of 1,87,305 trainees, 2020-24) [1]. PMKVY 1.0–3.0 placed about 41% [2], and PMKVY 2.0 placed only 23% [3].
• Demand alignment: over 90% of beneficiaries said their training matched local labour-market needs [1].
• Credit convergence: NSFDC, NBCFDC and NSKFDC add loan support, so self-employment also counts as an outcome [1].

Limits of the model

• Gaming risk: when payment depends on placement, providers have a reason to report false placements. The CAG found fake placement documents among PMKVY partners, and PM-DAKSH uses those same institutes [2].
• Placement is not a livelihood: a one-time placement count does not show how long the job lasted or what it paid. The PM-DAKSH evaluation relied on trainees' own satisfaction reports [1].
• Supply-driven job roles: job roles were chosen without skill-gap studies, and training was concentrated in a few roles [2]. Paying for placement cannot fix a poor choice of trades.
• Occupational trap: training Safai Karamcharis to do sanitation work better may count as a "placement". But it works against the Manual Scavengers Act, 2013, whose aim is to move them into new occupations.

Way forward

• Verify before paying: before releasing the final 30%, the corporations should check placements through EPFO records or phone calls [2].
• Measure income change: use a before-and-after method like the AJNIFM study of PMKVY 4.0, where the share employed or self-employed rose from 26.6% to 45.4% [4].
• Employer-first contracts: scale up the Recruit-Train-Deploy model used with firms like Amazon in PM-DAKSH-DEPwD, as the Standing Committee on Social Justice recommended [5].
• Group-wise tracking: since PM-DAKSH was subsumed into PMKVY in 2024-25, publish SIDH tracking data separately for each target group [1].

Outcome-linked financing has made PM-DAKSH more focused on placement than input-funded skilling schemes. With independent verification, retention-based measures and employer-first design, it can turn skilling into lasting, dignified livelihoods. That would advance Article 46 (promoting the economic interests of weaker sections) and SDG 8 (decent work).