Clean Water’s True Price in Rural India

Clean water is not just a public good; it’s a household priority. Reliable access to clean water prevents disease, reduces time burdens—especially for women and children—and supports economic activity. Societies with safe water experience lower healthcare costs, higher labour productivity, and sustained economic development.

New research about rural Odisha shows that when safe drinking water is made reliably available at home, families value it far more highly than policymakers have assumed.

The study examines how much rural households are willing to pay for clean water delivered to their doorstep and whether decentralised treatment can meaningfully expand access. Globally, over 2 billion people lack safe drinking water, leading to around 2 billion cases of diarrhoea and half a million deaths among children under five annually. Existing solutions such as piped water and point‑of‑use chlorine either face high costs or low sustained demand.

Rural Odisha
To address this gap, the researchers partnered with Spring Health, a private firm that treats groundwater using decentralised solar-powered electrochlorination and delivers it in sealed containers. The study covers roughly 60,000 households across 120 villages and uses a large cluster‑randomised design to test three interventions: (i) price discounts of 10%, 50% and 90%; (ii) a free monthly ration of 400 litres; and (iii) exchangeable entitlements allowing households to forgo free water in exchange for cash rebates equal to 10–100% of the market price. Control households faced the standard price of ₹1.4 per litre.

The first major finding is that the demand for home-delivered clean water is extremely high at low prices. When water is free, more than 90% of households order it. Even at the lowest positive price — ₹0.14 per litre — take‑up remains around 89%. This contrasts sharply with chlorine-based treatment, where usage remains well below universal access even at zero price.

Households that order typically purchase enough to meet nearly all drinking needs—about 225 to 300 litres per month for a five‑person family—suggesting that they regard the product as a full substitute for unsafe sources.

As prices rise, demand falls sharply. But the decline is driven almost entirely by the extensive margin: whether households order at all, rather than how much they order once they do. In effect, families either switch fully to clean water or not at all. This pattern is consistent with the idea that the main benefit lies in illness avoidance rather than incremental improvements.

Valuation Gap
The second major finding relates to the estimation of what we might call revealed-preference valuation. Using the experimentally estimated demand curve, the authors calculate a willingness‑to‑pay of ₹132 per month — or about $20 per year. This figure is several times higher than earlier indirect estimates, such as the $4.44 annual WTP inferred from travel costs in a previous study. Earlier studies measured valuation for treatment technologies like chlorine, not for clean water itself, which may explain the discrepancy.

Even more revealing is the willingness‑to‑accept: the minimum compensation households require to give up clean water. Under the exchangeable entitlement intervention, households routinely forgo ₹420 per month in rebates to continue receiving water. In other words, they value the service enough to decline substantial cash alternatives.

This WTA estimate exceeds the full variable cost of providing water free of charge. The large WTA–WTP gap is consistent with economic theory when a good has no close substitutes.

Health outcomes reinforce this valuation. Access to clean water reduces sickness by 23–62%, lowers weekly health expenditures, and decreases missed workdays. They translate into tangible improvements in household productivity and financial stability.

Cost-effectiveness
The researchers also examine cost-effectiveness. Using conservative assumptions, they estimate that free home delivery of clean water costs between $71 and $226 per disability-adjusted life year (DALY) averted. These figures comfortably meet standard cost-effectiveness benchmarks and compare favourably with well-studied chlorine-based interventions.

The broader implication is that decentralised treatment with delivery can complement, rather than replace, piped infrastructure. For policymakers, the lesson is straightforward. The model offers a scalable, relatively quick-to-deploy solution in areas where large network investments may take years.

Batabyal is a Distinguished Professor, the Arthur J. Gosnell professor of economics, and the Head of the Sustainability Department in the Rochester Institute of Technology in Rochester, New York. These views are his own.