The Code on Social Security, 2020 requires aggregators to contribute to a Social Security Fund for gig and platform workers, with a gig worker becoming eligible for benefits after 90 days of engagement with a single aggregator, or 120 days across multiple aggregators in a financial year. According to reports from Business Standard, aggregators are required to assess and deposit their contributions annually. Under Section 114(4) of the Code, aggregators must contribute 1-2% of their annual turnover, but this contribution cannot exceed 5% of the amount paid or payable to gig and platform workers - a ceiling on the turnover-linked formula, not a separate scheme. The Ministry of Labour and Employment is separately weighing a payout-linked formula (up to 5% of amounts paid to workers) as an alternative basis for contributions. As per analysts, the choice of contribution mechanism fundamentally impacts business sustainability and worker welfare, with a turnover-based contribution avoiding distortion by tying the levy to overall business scale rather than transaction frequency.
A comparison of the two approaches reveals starkly different outcomes across platform businesses. As reported by Business Standard, a food-delivery platform processing 30 lakh orders daily at an average payout of ₹30 per order with annual turnover of ₹20,000 crore would incur an estimated annual contribution of about ₹164.25 crore under a 5% payout-based formula - approximately 0.82% of turnover. Conversely, a ride-hailing platform processing 60 lakh trips daily across bikes, autos and cabs with average ticket sizes of ₹75, ₹125 and ₹300 respectively would face an estimated contribution of about ₹1,428.1 crore against an annual turnover of ₹1,000 crore - equivalent to about 142.8% of turnover. This disparity occurs despite both models using the same 5% contribution rate, highlighting the structural consequences of applying percentage calculations to businesses with different transaction volumes and ticket sizes. Analysts emphasize that the central weakness of a transaction-linked model is that the contribution can become disconnected from the economic capacity of the entity required to pay it, particularly affecting high-frequency, low-ticket businesses like ride-hailing where millions of daily trips can cause payout-linked liability to accumulate rapidly even when overall turnover remains modest.
The financial burden varies significantly across worker categories even at the individual level. According to Business Standard analysis, a delivery worker completing 20 orders daily at an average payout of ₹30 per order over 26 working days would earn ₹15,600 monthly, resulting in a monthly contribution of ₹780 at 5% rate. In contrast, bike-taxi drivers earning ₹28,750 monthly, auto drivers earning ₹40,250 monthly, and cab drivers earning ₹51,750 monthly would contribute ₹1,437.50, ₹2,012.50, and ₹2,587.50 respectively - representing 1.84, 2.58, and 3.32 times the delivery worker's contribution. This disparity occurs because the same percentage rate applies to different earnings bases, with higher-earning workers contributing proportionally more despite identical contribution rates. As per analysts, the same 5% rate applied to monthly earnings of ₹28,750 for bike-taxi drivers, ₹40,250 for auto drivers and ₹51,750 for cab drivers would result in monthly contributions of ₹1,437.50, ₹2,012.50 and ₹2,587.50 respectively, with cab drivers contributing about 3.32 times the amount contributed by delivery workers. The rate remains the same, but the amount contributed rises with the worker's monthly earnings, making the same percentage not necessarily produce an equivalent burden.
Analysts emphasize that the choice of contribution mechanism fundamentally impacts business sustainability and worker welfare. As reported by Business Standard, a turnover-based contribution avoids distortion by tying the levy to overall business scale rather than transaction frequency. Under a 2% rate, an aggregator with ₹20,000 crore turnover would contribute ₹400 crore, while one with ₹1,000 crore turnover would contribute ₹20 crore. This approach provides greater predictability and avoids penalizing businesses with different transaction structures, as high-frequency, low-ticket businesses can process millions more transactions without generating correspondingly larger turnover. The turnover-based approach is more consistent with the principle of proportionality because it asks how large the business is and what its economic capacity is, rather than making the number and value of individual payouts a central determinant of liability. A contribution linked to turnover reflects the overall scale of the enterprise and gives an aggregator greater predictability over its liability, avoiding penalizing one business model simply because its services involve higher gig worker earnings or more frequent transactions. A formula that can produce a levy exceeding an aggregator's total annual turnover risks becoming disconnected from the economics of the business, making the question whether the contribution should be determined by the size and capacity of the business or by the mechanics of the transactions it processes.
