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India is in the midst of a vigorous debate over state-funded welfare “freebie” schemes — measures like direct cash transfers, free electricity or transport, and farm loan waivers that have become common across several States. Leaders from the Prime Minister to the Reserve Bank of India have flagged concerns about the long-term fiscal risks of these policies.
Yet, a recent Right to Information (RTI) disclosure has revealed that Niti Aayog — the central policy think-tank, has not conducted a single study on the economic or fiscal impact of these schemes, even as such concerns grow louder.
An RTI application filed by India Today asked Niti Aayog for any research or analysis it had undertaken on the fiscal sustainability or long-term economic consequences of state freebie programmes. In its reply, the think-tank stated it has no direct or indirect information on such research. Despite completing dozens of studies since 2022 and approving new projects, none examine the financial implications of these welfare measures.
The disclosure raises immediate questions about policy oversight. Freebie schemes have figured repeatedly in discussions among senior officials. In 2022, during a meeting chaired by Prime Minister Narendra Modi, bureaucrats warned that unchecked populist spending during elections could saddle some States with serious fiscal stress.
Later, PM Modi himself criticised what he described as a “revdi culture”, cautioning that distributing freebies to win votes could hurt the country’s long-term development prospects.
At the same time, RBI research on State budgets has highlighted a sharp rise in spending on unconditional welfare measures, warning that such spending could crowd out resources needed for infrastructure and economic growth.
Economic analysts and government reports have noted several potential hazards when welfare schemes expand rapidly without consistent evaluation. The Economic Survey 2025-26 notes that States implementing unconditional cash transfers have increased sharply, with spending on these programmes possibly touching ₹1.7 lakh crore in FY26.
While such transfers offer immediate relief — especially for women and lower-income households, there is growing evidence that large, open-ended commitments can strain state finances. They may weaken fiscal balances, squeeze out investment in infrastructure and human capital, and reduce the flexibility of budgets.
Moreover, many schemes lack sunset clauses or periodic reviews, locking States into recurring outlays that become harder to unwind. This rigidity can make budgets less responsive to changing economic conditions and long-term growth requirements.
Given these complexities, research on freebies’ economic impact is essential. Evidence-based analysis helps policymakers understand trade-offs, design schemes that deliver welfare without jeopardising finances, and recommend corrective action where needed. A central think-tank studying these issues provides valuable, impartial insights that can inform both State budgets and national fiscal frameworks.
But the absence of such work by Niti Aayog, even as political and institutional voices warn of risks, suggests a gap between policy discourse and policy research. The reasons could range from prioritisation choices to structural constraints in how research topics are selected and approved internally.
Without dedicated studies, policymakers and financial institutions must rely on fragmented data or external estimates, which may not capture the full fiscal picture or long-term economic costs associated with unsustainable spending patterns.
Freebie schemes are politically popular and often well-intentioned, addressing immediate needs of vulnerable populations. But their rapid expansion across States underscores the need for careful evaluation of long-term consequences.
The RTI disclosure that Niti Aayog has not researched this pressing issue, despite sustained warnings from the Prime Minister and RBI, points to an important policy blind spot. To ensure that social welfare and fiscal health go hand in hand, sharper analytical focus and evidence-led debate are essential.
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