Input-output modelling can clarify the framework: The spending can have multiplier effect on several sectors
Every winter, as air pollution shrouds Indian cities from Delhi to Kolkata, public debate converges on the costs: the crores spent on air purifiers, water sprinklers and stubble management, the outlay for waste treatment plants and new green technology. Environmental clean-up is framed as a fiscal burden, an expense the government endures under pressure, with marginal credit for averted health impacts.
But this framing systematically undervalues what pollution control delivers. When government and industry invest in environmental remediation, they don't just clean air and water, they trigger cascading economic activity across supply chains, create employment, and drive technological upgrading. The key to revealing these ripple effects lies in input-output (I-O) modelling, an analytical framework that tracks how spending in one sector stimulates output, jobs, and incomes across the entire economy.
The Input-Output lens
Conventional budgeting sees pollution control as a line item, money spent on equipment, infrastructure, or remediation. Input-output (I-O) analysis, however, maps the full economic journey of every rupee invested. Leontief’s framework, pioneered in the last century, is made for this moment: how change in one sector powers expansion, job creation and income generation elsewhere.
When a city mandates upgraded pollution controls, engineering firms design and install air scrubbers and water treatment systems, purchasing steel, chemicals, and electronics from domestic suppliers. Construction firms build infrastructure, employing labourers and sourcing cement, machinery and technical services. Ongoing maintenance creates sustained demand for specialised services, from calibration to waste disposal. Wages earned by workers across this chain support local economies from healthcare to retail.
The 2018-19 input-output tables of the Ministry of Statistics and Programme Implementation (MOSPI) show construction sector multipliers of 2.1 and manufacturing multipliers of 1.8, meaning every ₹100 invested generates ₹180-210 in total economic output through these inter-sectoral linkages. Applied to environmental infrastructure, a hypothetical ₹5,000 crore urban pollution control programme could generate ₹9,000-10,500 crore in total output, though this depends critically on domestic content and implementation efficiency.
International experience reinforces this multiplier logic. The United States Environmental Protection Agency (US EPA)’s retrospective analyses (1990-2020) of Clean Air Act enforcement consistently found benefit-cost ratios between 4:1 and 30:1, driven by productivity gains, reduced healthcare costs and new industry formation. China's investments in water treatment during its 2015-20 environmental push generated employment multipliers exceeding 2.0, creating over 3 million direct and indirect jobs. But the economic case extends beyond output multipliers.
India's pollution crisis imposes massive productivity losses. The Lancet Commission on Pollution and Health (2020) estimated air pollution alone costs India 1.4% of GDP annually through premature deaths, lost workdays and medical expenses. When pollution control reduces hospital admissions by 20-30% in treated areas, as documented in Delhi post-2019 interventions, the economic returns compound: healthier workers are more productive, children perform better academically and healthcare systems redirect resources toward preventive care.
Not all environmental spending generates equal domestic benefits. India currently imports 60-70% of advanced pollution control equipment, air quality monitors from the US, industrial scrubbers from Germany and solar panels from China. This import dependence means significant multiplier leakage overseas, reducing domestic job creation and output gains. The input-output modelling exposes these leaks precisely, allowing policymakers to maximise returns through targeted domestic content requirements. India's emerging green technology sector, companies like Thermax (industrial pollution control) and Tata Power (renewable energy systems) can capture more value if procurement prioritises domestic production capacity.
The opportunity cost question also demands attention. Could ₹5,000 crore generate higher returns in manufacturing or infrastructure? But pollution control uniquely delivers health dividends that pure infrastructure doesn't, making the combined economic and social return potentially superior when health productivity gains are factored.
What India Should Do: Making Multiplier Analysis Mandatory
Reframing pollution control from expense to investment requires institutional change. Government should mandate input-output analysis for all environmental projects exceeding ₹500 crore, with impact assessments reporting:
- Total output and GDP contribution across all affected sectors,
- Direct and indirect employment generation by skill level,
- Import content vs. domestic value addition, with strategies to increase the latter,
- Health productivity gains quantified in economic terms.
Pollution control isn't charity; it's strategic economic investment. The input-output modelling transforms vague claims about "hidden benefits" into hard numbers that can compete with infrastructure and industrial policy for budget priority. As India plans its development trajectory toward 2047, environmental spending must be recognised not as sacrifice but as foundation for healthier workers, innovative industries, and resilient urban economies.
The question isn't whether India can afford pollution control. It's whether we can afford not to invest.
Dr Vani Archana is Senior Fellow, Pahle India Foundation.