Interest-Rate Expectations, Real Rates and Inflation: The RBI’s Monetary-Policy Dilemma.....

Introduction

The relationship between real interest rates, nominal interest-rate expectations, spending and inflation is more complicated than the simple proposition that higher expected nominal rates automatically reduce demand. In India, the Reserve Bank of India’s monetary-policy challenge is particularly important because inflation is influenced not only by domestic demand but also by food prices, crude oil, exchange-rate movements, imported inflation, supply constraints and expectations. Under flexible inflation targeting, the RBI seeks to maintain consumer-price inflation around 4%, with a tolerance band of 2–6%, while keeping in mind growth and employment conditions. The central issue is therefore not merely whether the current repo rate is high or low, but what households, firms, banks, investors and financial markets believe interest rates and inflation will be over the next several years. A temporarily low real interest rate can stimulate present expenditure, while expectations of substantially higher nominal rates can either accelerate spending before borrowing costs rise or restrain spending immediately if agents interpret them as a signal of future monetary tightening. The direction depends on why nominal-rate expectations have risen and how credible the RBI's communication is.

 

The Fisher Effect and the Indian ContextThe Fisher relationship provides a useful starting point: approximately, the nominal interest rate equals the real interest rate plus expected inflation. Thus, if expected inflation rises from 4% to 6% while the desired real rate remains around 1%, the corresponding nominal rate would move from roughly 5% to 7%. But the Fisher Effect is primarily an identity linking nominal rates, real rates and expected inflation; it does not by itself establish causality. A rise in nominal-rate expectations can reflect higher expected inflation, expected monetary tightening, greater fiscal or external risks, or stronger future demand. India illustrates this distinction clearly. Suppose the nominal policy rate is 6%, while expected inflation is 5%; the ex-ante real rate is approximately 1%. If expected inflation suddenly rises to 7% while the nominal rate remains 6%, the expected real rate becomes approximately –1%. Borrowing may therefore remain attractive even though the nominal rate appears high. Conversely, if the RBI communicates that nominal rates may remain higher for longer while inflation expectations fall, the real rate can rise without an immediate increase in the nominal policy rate. Consequently, monetary transmission depends heavily on expectations about both future inflation and future interest rates rather than the current repo rate alone.

 

Why a Low Real Rate Can Increase Current Spending

A low or negative real interest rate reduces the inflation-adjusted cost of borrowing and lowers the real return on conventional savings. A household deciding whether to purchase a house, automobile or durable good compares today's borrowing cost with expected future prices and income. If inflation is expected to rise faster than borrowing costs, postponing expenditure becomes less attractive. Similarly, a firm may accelerate investment if its expected return on capital exceeds its real financing cost. This is particularly relevant when the current nominal interest rate appears high but expected inflation is even higher. For example, a 7% nominal borrowing rate with 8% expected inflation represents an approximate –1% ex-ante real rate. Such conditions can support current demand. However, India's response is not necessarily proportional because many households and small firms borrow informally or at rates that do not closely follow the RBI repo rate. Bank transmission is also incomplete and differs across borrowers. Therefore, the policy-rate-to-demand channel operates through a broader financial system rather than through the repo rate alone.

 

Why Higher Nominal-Rate Expectations Can Pull Spending Forward

The argument that higher expected nominal rates can increase current spending contains an important expectations channel. If households believe loans will become substantially more expensive in six or twelve months, some purchases may be brought forward. A business expecting financing costs to rise may also borrow and invest earlier. If consumers simultaneously believe that houses, automobiles, construction materials or other goods will become more expensive, the incentive to purchase today becomes stronger. The effect resembles an intertemporal substitution mechanism: expected higher future prices or financing costs can shift expenditure toward the present. Yet this is not automatic. If higher expected nominal rates are interpreted as evidence that the RBI will deliberately weaken aggregate demand to control inflation, households may instead postpone discretionary spending because they expect weaker future income and tighter credit. Thus, the same expectation of higher rates can generate opposite behavioural responses depending on whether it is interpreted as future inflation, future monetary tightening, or deteriorating economic conditions.

 

The Importance of Inflation Expectations

For the RBI, the critical distinction is between temporary price shocks and persistent inflation expectations. Suppose crude oil rises sharply because of an international geopolitical shock, while wages, core inflation and domestic demand remain moderate. A large immediate rate increase could reduce demand, but it cannot directly produce additional oil. It could nevertheless become appropriate if the oil shock begins to generate second-round effects through wages, services, rents, margins and broader price-setting behaviour. India has historically experienced episodes where food and oil shocks complicated monetary policy because headline inflation moved considerably even when underlying demand pressures were less pronounced. Therefore, the RBI must distinguish a temporary increase in CPI from a change in the expected future inflation path. If households and firms continue to believe that inflation will return toward 4%, temporary inflation need not require an aggressive rate response. If expectations become persistently elevated, maintaining a sufficiently restrictive real rate becomes more important.

 

Can Delaying Rate Hikes Fuel Inflation?

A delay in tightening can fuel inflation expectations when economic agents interpret inaction as evidence that the central bank is willing to tolerate persistent inflation. The danger becomes greater when capacity utilisation is high, credit growth is accelerating, labour markets are tightening and wages are rising rapidly. In such circumstances, a low real interest rate can reinforce demand and make price increases more persistent. But delaying a rate increase does not necessarily cause inflation. If inflation is primarily supply-driven and demand remains weak, raising rates can reduce investment and consumption without materially increasing supply. Indeed, higher financing costs can discourage firms from expanding capacity, purchasing machinery, building inventories or investing in productivity. This creates an important tension for Indian monetary policy: excessive tightening can suppress demand today while also weakening supply tomorrow. The appropriate response therefore depends on whether inflation is demand-led, supply-led, expectation-led, or a combination of the three.

 

The Supply-Side Cost of Higher Borrowing Rates

The proposition that higher borrowing costs can reduce supply deserves particular attention in India. Businesses require financing not merely to satisfy existing demand but also to create future productive capacity. Higher interest rates increase the hurdle rate for investment and can make marginal projects commercially unviable. Small and medium enterprises are especially sensitive because they frequently operate with thinner margins and greater dependence on bank credit. If a firm faces a 10% nominal borrowing cost when expected nominal returns are only 11%, investment may proceed; if the financing cost rises to 13%, the project may be cancelled. The resulting reduction in capacity can constrain future supply. This creates a potential paradox: monetary tightening can lower demand and inflation in the short run while simultaneously weakening supply and raising unit costs over a longer horizon. Consequently, an inflation-targeting central bank must consider not only the immediate demand effect of interest rates but also their effect on investment, productivity, employment and potential output.

 

RBI Communication as a Monetary-Policy Instrument

This makes communication itself an important component of monetary policy. If the RBI communicates that inflation is temporarily elevated but that policy will remain sufficiently restrictive until medium-term inflation expectations are firmly anchored, it can influence long-term interest-rate and inflation expectations without necessarily changing the repo rate at every meeting. A useful distinction is between the current real policy rate and the expected path of real rates. Suppose the current nominal policy rate is 6%, inflation is temporarily 5%, and therefore the real rate is about 1%. The RBI could indicate that although immediate inflation conditions warrant patience, policy will remain restrictive if inflation expectations deteriorate. Financial markets might then expect future nominal rates to remain relatively high even without an immediate hike. Such communication can restrain excessive borrowing and speculative demand while preserving the option to support investment if supply conditions are weak. Credibility is crucial: repeated guidance that is subsequently contradicted can weaken the expectations channel rather than strengthen it.

 

India’s Monetary-Policy Trade-Off

India's circumstances therefore argue against treating the repo rate as a mechanical response to every movement in CPI. Consider a simplified example in which real GDP is growing around 6.5%, headline CPI is around 3.5%, but wholesale inflation is temporarily much higher because of commodity and base effects. If inflation expectations remain anchored and labour-market pressures are moderate, aggressive monetary tightening could impose costs without addressing the original supply shock. Conversely, if CPI rises from 3.5% toward 6%, credit accelerates, wages begin responding to higher prices and households start expecting inflation to remain elevated, the same nominal policy rate would produce a progressively lower real rate and therefore a more accommodative monetary condition. In that situation, postponing tightening could allow expectations to become self-reinforcing. The RBI must therefore respond to the expected trajectory rather than simply the latest inflation observation.

 

Real Rates, Savings and Investment

The real-rate channel also matters for India's household savings problem. When deposit rates remain below inflation for an extended period, households receive a negative real return on bank deposits. They may respond by increasing allocations toward gold, property or other assets rather than financial savings. Conversely, a credible expectation of positive real returns can encourage financial saving, strengthen banks' deposit base and support credit intermediation. Yet excessively high real rates can suppress investment and housing demand. The objective is therefore not to maximise real interest rates but to establish a sufficiently positive and credible long-term real-rate environment while avoiding unnecessarily high short-term borrowing costs. This distinction supports a monetary strategy in which current rates and expected future rates are deliberately separated: near-term financing conditions can remain supportive of recovery while communication anchors longer-term expectations about the future policy path.

 

Conclusion

The proposition that a lower real interest rate combined with higher nominal-rate expectations can stimulate current spending is economically plausible, but it is conditional rather than universal. The Fisher relationship explains how nominal rates, real rates and expected inflation interact; it does not determine whether higher nominal-rate expectations will increase or reduce present demand. In India, the outcome depends on what generates those expectations. If higher expected nominal rates reflect rapidly rising inflation expectations, a temporarily negative real rate can encourage borrowing, spending and price-setting, potentially requiring monetary tightening. If they instead reflect credible RBI guidance that future policy will remain disciplined while current inflation is a temporary supply shock, expectations can restrain excessive demand without immediately raising today's borrowing costs. At the same time, excessive rate increases can weaken investment, capacity creation and future supply. The central monetary-policy challenge is therefore to manage the entire expected path of real and nominal rates, not merely the current repo rate. The most important objective is credible anchoring of medium-term inflation and interest-rate expectations while allowing monetary conditions to remain compatible with investment, employment, productivity and sustainable economic growth.

Historical Inequality in India: Growth, Productivity and the Missing Wage Link.....

Introduction

India’s inequality since Independence cannot be understood simply through the Gini coefficient or by asking whether GDP has grown rapidly. The deeper issue is whether the gains from rising productivity have been systematically converted into higher real wages, household incomes and economic security for the majority. India inherited an extremely unequal economy in 1947, characterised by concentrated land ownership, caste and social hierarchies, low human capital, widespread illiteracy and a very large informal workforce. The post-Independence state attempted to reduce these inequalities through land reform, public-sector employment, planning, subsidised education, food security and progressive taxation, but the results were uneven. The central problem that has persisted across regimes is the absence of a strong institutional mechanism linking productivity growth to broad-based wage growth. India has had institutions determining minimum wages, government salaries and formal-sector compensation, but no economy-wide mechanism ensuring that when output per worker rises, the typical worker receives a proportionate increase in real purchasing power. This distinction is crucial because productivity can increase through capital deepening, technology, automation, market concentration or profits without producing equivalent increases in median wages. The result is an economy in which GDP can grow rapidly while the distribution of the additional income becomes increasingly unequal.

 

Inequality under the Nehru and Early Planning Era

The first decades after Independence began with extraordinarily high structural inequality, although reliable national income distribution statistics for the 1950s and 1960s are limited. The Nehru-era model deliberately attempted to reduce inequality through planning, public ownership, land reforms, progressive taxation and expansion of public education and infrastructure. The state became an important employer and created relatively secure jobs for a section of the organised workforce. Yet the benefits were highly uneven. Land reforms were incomplete in many regions, agricultural labour remained overwhelmingly poor, and the majority of workers remained outside the organised sector. The famous “Hindu rate of growth” of roughly 3–4% annually meant that even where distribution improved in some dimensions, there was insufficient productivity growth to transform mass living standards rapidly. Inequality therefore remained embedded in ownership of land, capital and education. The planning system reduced some forms of extreme concentration but did not establish a competitive labour market in which productivity gains automatically translated into higher wages. Instead, wage determination became segmented: government and organised workers obtained relatively strong bargaining power, while informal agricultural and urban workers remained largely dependent on local labour-market conditions.

 

The Indira Gandhi and Late Socialist Period

The 1960s and 1970s saw an intensified emphasis on redistribution. Bank nationalisation, abolition of privy purses, expansion of subsidies, employment programmes, food distribution and the rhetoric of “Garibi Hatao” represented an explicit attempt to make economic development politically inclusive. The Green Revolution substantially increased agricultural productivity, but its benefits were regionally and socially concentrated, particularly in states with irrigation, landholding capacity and access to modern inputs. Nationally, growth remained too slow to eliminate mass poverty. The poverty ratio subsequently declined considerably from the 1970s into the 1980s, but this should not be confused with the creation of a broad productivity-linked wage system. India essentially developed two labour markets: a relatively protected formal sector and a vast informal sector in which wages were determined by surplus labour and weak bargaining power. Consequently, redistribution was frequently achieved through administered prices, subsidies, public employment and transfers rather than through a structural transformation of labour's share of national income.

 

The Rajiv Gandhi and Liberalisation Transition

The 1980s represented an important transition because economic growth accelerated to roughly 5–6% annually, technological modernisation increased and private investment became more important. Productivity began to rise more rapidly, but the relationship between productivity and wages remained imperfect. The organised sector captured a disproportionately large share of the benefits because formal workers possessed stronger bargaining institutions, while informal workers remained exposed to low wages and insecure employment. The 1991 reforms under P. V. Narasimha Rao and Manmohan Singh fundamentally changed the structure of the Indian economy. Liberalisation, privatisation and globalisation produced substantially faster productivity and GDP growth. India increasingly moved from an economy constrained by capital shortages and state controls toward one driven by private investment, services, technology and global markets. Poverty fell substantially and a large middle class emerged. Yet the reform period also exposed the weakness of India's wage-setting architecture: high-productivity sectors such as information technology and finance generated exceptionally high incomes, while millions of workers remained in low-productivity agriculture, construction, petty trade and informal services. Growth therefore became more powerful, but its transmission to the bottom half remained incomplete.

 

The UPA Period and the Expansion of Inclusive Growth

The UPA years combined relatively high GDP growth with significant expansion of redistributive institutions. Between 2004 and 2014, real GDP growth averaged roughly 7–8% depending on the measurement period, while programmes such as MGNREGA, the Right to Education, the National Food Security framework and expanded social spending strengthened the income floor for poorer households. Rural wages increased substantially during parts of this period, although inflation, particularly food inflation, subsequently eroded some of those gains. The important achievement was that labour scarcity in several rural regions, combined with public employment and rapid growth, strengthened the bargaining position of low-income workers. Nevertheless, UPA-era inequality was not eliminated. High corporate profitability, asset appreciation and rapid growth in skilled services also increased the rewards to capital and highly educated labour. Thus, the UPA period demonstrates that redistribution can improve household welfare without solving the deeper productivity-wage problem. India still lacked a comprehensive mechanism through which economy-wide productivity gains would systematically become increases in median real wages.

 

The NDA Era Since 2014

The current NDA period has produced a very different combination: high headline GDP growth, rapid infrastructure and digitalisation, formalisation of financial transactions, expansion of welfare transfers and major increases in physical capital, alongside persistent questions about the distribution of income and employment. The strongest recent inequality estimates suggest that the top 10% now receive about 57.7% of national income, while the bottom 50% receive only about 15%. The top 1% receives roughly 22.6% of income and controls around 40% of wealth. These estimates should be treated as distributional estimates rather than perfectly measured facts because Indian income and wealth data have serious limitations, but the direction is difficult to dismiss: wealth concentration has become exceptionally high. The contrast is particularly striking because India has simultaneously experienced strong real GDP growth. This means that the central political-economic question is no longer simply “Is India growing?” but “Who receives the incremental income created by growth?” If productivity increases while the median worker's real income increases slowly, the difference becomes additional profits, rents, capital gains or incomes accruing to highly skilled workers and asset owners.

 

The Missing Productivity-Wage Mechanism

The fundamental institutional weakness is the absence of a reliable social mechanism connecting productivity, profits and wages. In a competitive labour market, rising productivity should eventually raise real wages because firms must compete for workers. But this mechanism breaks down when labour is abundant, employment is informal, workers lack bargaining power and productivity gains are generated by capital rather than labour. A factory can double output per worker through automation without doubling wages. A digital platform can dramatically increase revenue per employee while employing relatively few people. A large formal company can raise productivity through scale and technology while outsourcing labour-intensive functions to contractors whose wages remain low. Consequently, aggregate productivity is not equivalent to worker bargaining power. India needs to distinguish between GDP per worker, value added per worker, average labour compensation and median real income. A country can improve the first while making surprisingly little progress on the last. International evidence shows that this is not uniquely Indian: across many advanced economies, real median wages have decoupled from productivity, with declining labour shares and increasing wage inequality contributing to the divergence. Globally, the labour income share has also fallen over the past two decades, demonstrating that technological progress alone does not guarantee an equitable distribution of its benefits.

 

India Compared with International Levels

India's inequality appears particularly striking because its distribution of income is much more concentrated than conventional consumption-based inequality measures suggest. The World Bank's reported consumption Gini for India has historically been relatively low, around the mid-20s in recent observations, whereas distributional estimates incorporating national income, tax data, surveys and wealth information produce a much higher concentration at the top. This difference illustrates a major measurement problem: consumption surveys capture what households spend, while income and wealth distributions capture what economic resources they command. Internationally, India now sits closer to highly unequal emerging economies than to the egalitarian European model. South Africa, Brazil and several Latin American economies have historically experienced very high inequality, while Scandinavian countries maintain much lower top-income concentration through stronger collective bargaining, taxation and social protection. The international lesson is not that India should simply copy another country, but that productivity requires institutions capable of distributing productivity gains. Stronger collective bargaining, universal social protection, minimum-wage floors, portable benefits and taxation of capital and wealth can prevent productivity growth from becoming disproportionately capital income.

 

The Political Economy of Wage Inequality

The political consequences are profound. If the bottom half receives only weak real income growth while GDP, corporate profits, stock-market wealth and high-end salaries rise rapidly, economic growth becomes politically vulnerable even when macroeconomic indicators look impressive. Weak mass purchasing power can constrain consumption of automobiles, housing, consumer durables and discretionary services. At the same time, concentrated wealth increases the political influence of those who benefit most from asset appreciation and capital income. Welfare programmes then become increasingly important because they compensate for the absence of sufficient market-generated income growth. Food transfers, employment guarantees, housing support, healthcare and direct transfers can protect living standards, but they cannot permanently substitute for productive employment and rising wages. The sustainable solution is therefore not redistribution after inequality has occurred but a production system in which productivity growth itself creates widely distributed labour income. This means greater employment elasticity of manufacturing, better education and skills, stronger worker bargaining power, competition against excessive market concentration and a more systematic wage-setting framework.

 

Conclusion

India's historical inequality has therefore changed form rather than simply disappeared. The early decades were dominated by inequality of land, caste, education and access to capital; the liberalisation era reduced absolute poverty and created a large middle class but increased the importance of skill and capital; and the present NDA era combines rapid technological and infrastructure-led productivity growth with exceptionally high estimated concentration of income and wealth. The central failure across regimes has been the absence of a durable productivity-to-wage transmission mechanism. India has repeatedly attempted to correct inequality through subsidies, public employment, welfare, minimum wages and redistribution, but these are incomplete substitutes for a labour market in which rising productivity produces rising median real wages. The most important economic reform, therefore, is not merely faster GDP growth. It is creating institutions that ensure that every sustained increase in output per worker produces a meaningful increase in real labour income. Without that connection, productivity can enrich the economy without sufficiently enriching the worker, GDP can rise without proportional mass purchasing power, and inequality can become increasingly embedded in India's political economy.

The Real GDP Cost of Stagnant Bottom-Half Incomes During 12 Years....

Introduction

The most important question about India’s growth during the 12 years of the Modi government is not simply whether real GDP increased, but whether the increase in national production translated into sustained increases in the real purchasing power of the majority of Indians. If the real wages and incomes of the bottom half of the population remained broadly stagnant while a counterfactual scenario assumes 6% annual real growth, the difference becomes enormous because of compounding. At 6% annually, real income becomes 2.012 times its initial level after 12 years, meaning the bottom half would have enjoyed approximately 101.2% more real income than under a zero-growth scenario. India’s real GDP reached roughly ₹323 lakh crore in FY2025-26 under the latest 2022-23-base estimates, equivalent to roughly $3.9–4.0 trillion when expressed at a representative recent rupee-dollar conversion. The counterfactual therefore asks a deeper question: how much larger could the Indian economy have been if the additional purchasing power of the bottom half had been converted into additional demand, investment, employment and productive capacity?

 

The Arithmetic of the Income Gap

The first calculation is straightforward. Suppose the real income of the bottom 50% was indexed at 100 in 2014 and remained at 100 in 2026. Under 6% annual real growth, it would reach approximately 201.2 after 12 years. Thus the cumulative income gap is about 101.2%. If the bottom half receives approximately 15% of national income as a simplifying assumption, the additional income represented by the counterfactual at the end of the period would be equivalent to about 15.2% of GDP. This figure should not be interpreted as a 15.2% automatic increase in GDP because households would save some of the additional income, some spending would fall on imports, and some demand would merely bid up prices rather than increase real output. Nevertheless, it demonstrates the scale of the missed economic opportunity: stagnant incomes among half the population can represent a very large drag on aggregate demand and productive investment even when headline GDP continues to grow.

 

Why Stagnant Bottom-Half Incomes Can Reduce GDP

The strongest economic argument is through the demand-productivity-investment chain. Lower-income households generally have a higher marginal propensity to consume than wealthier households because a larger proportion of their income is spent on food, clothing, housing, transport, education, healthcare and basic services. If their real incomes had grown by 6% annually, consumption demand would probably have been substantially stronger. Stronger mass consumption would have encouraged firms to expand capacity, invest in machinery, hire workers and increase inventories. Higher employment and utilisation of existing capacity would then raise productivity. The effect could become cumulative: higher wages increase demand, stronger demand increases investment, investment increases productivity, productivity raises wages, and higher wages further expand demand. Conversely, stagnant wages can produce the opposite mechanism: weak mass demand discourages private investment, firms depend more heavily on government spending, exports or upper-income consumption, and the economy can experience relatively high GDP growth without sufficiently broad-based income growth.

 

Estimating the Possible GDP Loss

A sensible estimate should therefore use a range rather than claim that the entire 101% income difference represents lost GDP. If the additional bottom-half income implied by the 6% scenario were translated into only 30% of its potential aggregate-output effect, the eventual GDP level could be around 4.5–5% higher than the stagnant-income counterfactual. At a real GDP benchmark of approximately $3.9 trillion, that represents a loss of roughly $175–195 billion. With a 50% transmission of the additional income into real output through consumption, investment and employment, the GDP difference rises toward 7.5–8%, or approximately $290–310 billion. A stronger dynamic effect involving productivity and private investment could plausibly take the difference toward 10% of GDP, equivalent to approximately $390 billion. A reasonable central estimate, therefore, is that persistent stagnation in bottom-half real incomes could have left India’s real economy roughly 7–8% smaller than it might have been under a sustained 6% real-income-growth scenario. This is a counterfactual estimate, not an observed statistical decomposition.

 

What Would That Mean for the Real Growth Rate?

The implication for the growth rate is also significant. The latest official GDP series estimates real GDP growth at 7.7% in FY2025-26, with real GDP at ₹323.12 lakh crore. But a single annual growth rate does not tell us whether the economy is operating below the growth path that could have been achieved with stronger mass incomes. If the counterfactual economy were 7.5% larger after 12 years, the corresponding compound growth rate would be approximately 0.6 percentage point higher per year than the stagnant-income economy. For example, if the observed long-run real GDP CAGR were around 5.5–5.6% over the comparable 12-year period, the counterfactual could be approximately 6.1–6.2%. Under a 10% final GDP gap, the difference approaches 0.8 percentage point annually. Thus the potential cost is not necessarily that India grew slowly in headline terms, but that it may have grown roughly 0.5–0.8 percentage point slower than its attainable growth path because inadequate mass-income growth weakened the demand-investment-productivity cycle.

 

The Supply-Side Argument Is Even More Important

The strongest objection to this calculation is that higher wages do not automatically create higher real GDP. If the economy is operating at full capacity, additional purchasing power can simply increase inflation. However, India has substantial underemployment, informal employment, unused productive capacity and a large potential labour force. In such circumstances, stronger real wages can mobilise resources rather than merely redistribute existing output. Higher household income can improve nutrition, education, health, skill acquisition and the ability to search for better jobs, thereby raising human capital and labour productivity. A stronger consumer market also gives businesses greater confidence to invest in scalable production. Consequently, the long-run effect of higher bottom-half income could be greater than the initial consumption effect. This is particularly important because GDP growth becomes sustainable when demand and productive capacity expand together rather than when demand is temporarily supported through government transfers or credit.

 

Why Headline GDP Can Conceal This Loss

The apparent contradiction between strong GDP growth and weak mass incomes arises because GDP is an aggregate measure. An economy can produce more output while the distribution of the additional income becomes increasingly concentrated. Growth in financial services, technology, formal corporations, capital-intensive manufacturing, government expenditure and high-income consumption can raise GDP even if the consumption capacity of the bottom half remains weak. The new GDP series itself demonstrates why measurement needs to be interpreted carefully: MoSPI has revised the base year to 2022-23 and changed deflation methods, including more granular deflators and double deflation in sectors such as manufacturing and agriculture. Such improvements can make GDP measurement more accurate, but they do not answer the separate distributional question of who received the income generated by growth. A country can therefore have credible GDP growth statistics while still experiencing inadequate growth in median real incomes.

 

The Policy Cost

If the counterfactual 6% real-income path had been achieved, the policy consequences would extend beyond consumption. Higher household savings could have increased the domestic financial resources available for investment; stronger demand could have encouraged private capital expenditure; better nutrition and education could have improved labour productivity; and stronger employment could have reduced dependence on welfare transfers. Instead of viewing wages merely as a cost to firms, policy should recognise real wages as part of the mechanism that creates a large domestic market. The objective should not be artificially raising wages faster than productivity, because that could damage competitiveness and employment. The objective should be to raise productivity and real wages together through better education, skills, infrastructure, formalisation, manufacturing scale, easier business expansion and greater labour absorption. This distinction is crucial: the sustainable alternative to stagnant wages is not simply higher nominal wages, but faster growth in output per worker.

 

Debate: Can We Really Attribute the GDP Loss to Wage Stagnation?

The answer must be qualified. It would be incorrect to claim that India definitively lost $300 billion of GDP solely because bottom-half wages did not rise by 6% annually. GDP is simultaneously affected by demographics, COVID-19, investment, exports, productivity, taxation, monetary policy, global demand, oil prices, technology, government expenditure and structural reforms. Moreover, income growth itself is partly an outcome of economic growth, so treating wages as completely independent of GDP creates a reverse-causality problem. The correct interpretation is therefore a counterfactual scenario: if the bottom half had achieved 6% sustained real-income growth and the additional purchasing power had generated the normal consumption, investment and productivity responses expected in an economy with substantial unused labour resources, India could plausibly have ended the 12-year period with 5–10% more real GDP, with a central estimate around 7–8%, corresponding to approximately $200–310 billion of additional real economic output at a $3.9–4.0 trillion benchmark.

 

Conclusion

The central economic lesson is that India cannot evaluate the success of a 12-year growth period solely through headline real GDP. If half the population experienced stagnant real wages and incomes while a plausible alternative involved 6% annual real-income growth, the compounded difference would be extraordinary: the bottom half would have possessed about 101% greater real purchasing power by the end of the period. Even if only a fraction of that difference translated into additional production, the potential GDP cost could reasonably be around 5–10%, with a central estimate of 7–8%, or roughly $200–310 billion on a $3.9–4.0 trillion real-GDP benchmark. The implied difference in sustainable annual growth could be approximately 0.5–0.8 percentage point. The deeper issue, therefore, is not whether India grew—it clearly did—but whether it grew at its maximum attainable rate by allowing productivity, employment and real wages at the bottom of the distribution to reinforce one another. A development strategy that produces high GDP growth without sustained real-income growth for the majority risks creating an economy that is statistically large but economically less dynamic than its underlying human and productive potential. 

The Invisible Half of the Economy: Informality, Formalisation and the Credibility of India’s Growth Story….

Introduction: The Economy We Measure Is Not Always the Economy We Live In

India’s economic debate increasingly revolves around a paradox: the country can report relatively strong real GDP growth while a large part of the population experiences weak real wage and income growth. If the bottom half of households is seeing real wages rise by only around 1% annually, the question is not merely whether GDP is growing, but **where that growth is occurring, whom it is reaching, and how accurately the statistical system captures it**. India’s informal economy remains enormous even after years of formalisation through GST, digital payments, bank accounts, income-tax registration, social-security databases and corporate expansion. This creates a fundamental measurement problem. Formal-sector activity is easier to observe, while informal enterprises, casual workers, unpaid family labour, small traders and household businesses are inherently harder to measure. Consequently, the pace of formalisation is not simply a structural economic transformation; it also changes the statistical visibility of economic activity. A government with strong credibility, transparent methodology and confidence in independent data can make this transition more trustworthy. Conversely, when statistical revisions, base-year changes or methodological controversies coincide with political claims of exceptionally strong growth, doubts about comparability can become economically consequential.

 

The Elephant Outside the Spreadsheet

India’s informal economy cannot be treated as a small residual sector. It encompasses millions of unincorporated enterprises, agricultural workers, street vendors, household producers, construction workers, domestic workers, casual labourers and self-employed people. Employment remains substantially more informal than output measured through the organised corporate sector. This creates an important distinction between **formalisation of transactions and formalisation of livelihoods**. A small shop accepting digital payments or registering under GST has become more visible to the state, but that does not automatically mean that its workers have stable contracts, pensions, health insurance or rapidly rising real wages. Similarly, a worker receiving wages through a bank account is financially formalised without necessarily becoming economically secure. Therefore, headline indicators of formalisation can exaggerate the extent to which India's underlying employment structure has changed. Formalisation is real, but its depth must be distinguished from its administrative visibility.

 

Formalisation: Transformation or Better Visibility?

The strongest argument in favour of formalisation is that it can increase productivity, tax compliance, access to credit, digital transactions and social-security coverage. GST can bring businesses into a common tax system; digital payments can leave an electronic trail; corporate registration can improve access to finance; and payroll databases can make employment more measurable. But there is a statistical paradox: **the economy can appear to formalise partly because previously invisible transactions become visible**. If a transaction that was previously estimated indirectly is now recorded electronically, measured economic activity may increase even without an equivalent increase in physical production. That does not make the new statistics wrong; it means that comparisons across time become more complicated. The crucial question is whether measured growth represents additional production, improved measurement, a shift from informal to formal production, or some combination of all three.

 

GDP Can Grow While the Household Economy Feels Stuck

This distinction becomes particularly important when aggregate GDP growth is compared with real wages. Suppose GDP grows at 7–8% while real wages for the bottom half increase by only about 1%. The two statistics are not necessarily contradictory, because GDP measures production and income generated across the entire economy, whereas real wages measure the purchasing power of workers. Capital income, corporate profits, government expenditure, exports, high-income consumption and productivity improvements can raise aggregate GDP without generating proportionate wage growth. But persistent divergence is economically significant because households with lower incomes have a higher marginal propensity to consume. If their real purchasing power barely rises, mass consumption can become weaker even while investment, government spending or upper-income consumption supports headline GDP. The result can be an economy with impressive aggregate numbers but insufficient broad-based demand—a possible form of **demand recession beneath a GDP expansion**.

 

The Great Statistical Visibility Problem

The larger the informal economy, the greater the challenge of measuring economic performance accurately. Large corporations generate detailed accounts, tax records, financial statements and digital transactions. A tiny informal enterprise may have none of these. Statistical agencies therefore have to combine surveys, administrative information, benchmarks, assumptions and extrapolation. When the structure of the economy changes rapidly, old relationships used for estimation can become unreliable. Formalisation can consequently improve measurement while simultaneously disrupting historical comparability. A rise in recorded formal-sector activity may reflect genuine economic transformation, migration from informal to formal enterprises, improved reporting or changes in statistical coverage. The correct response is not to reject official statistics, but to demand **more transparent metadata, consistent time series, independent validation and explicit decomposition of measurement effects**.

 

Base Years, Deflators and the Politics of “Real” Growth

The problem becomes even more important when nominal GDP is converted into real GDP. Real GDP depends on price indices, weights, deflators and the structure of the base year. A change in the base year can legitimately improve measurement because consumption patterns, production structures and relative prices change. Yet it can also make comparisons with earlier estimates difficult. If the implicit GDP deflator changes substantially, the same nominal economy can produce a very different estimate of real output. Therefore, saying that India grew faster after a statistical revision requires more than comparing two headline growth rates. One must examine whether the difference arises from actual production, prices, sectoral weights, informal-sector estimation, methodological improvements or base-year effects. **Real growth is a statistical construction designed to approximate physical economic expansion; it is not a directly observed object.**

 

The Internet Revolution Changes the Meaning of Formalisation

India is entering a remarkable statistical era because digitalisation can potentially reduce the traditional invisibility of the informal economy. Unified payments, digital invoices, electronic tax records, bank transactions, corporate databases and online commerce can provide enormous quantities of economic information. In principle, India could move from periodically surveying a partly invisible economy toward continuously observing large portions of economic activity. But more data does not automatically mean better statistics. Digital transactions measure transactions, not necessarily production; bank accounts do not measure welfare; GST records do not measure every informal worker; and online activity can disproportionately represent more connected firms and households. The statistical opportunity is therefore enormous, but it requires sophisticated integration rather than simply counting digital footprints.

 

Credibility Is Itself an Economic Variable

Government credibility matters because economic statistics influence expectations. Businesses make investment decisions, households decide whether to save or consume, investors price assets, and international institutions assess economic performance using official data. If people believe that statistical institutions are technically independent, transparent and willing to publish inconvenient information, official numbers acquire greater credibility. If they believe that methodologies are being changed primarily to produce favourable narratives, even accurate statistics may be discounted. This is particularly important in an internet-driven information environment where alternative calculations, leaked datasets and competing interpretations circulate instantly. **Statistical credibility is therefore not merely an academic issue; it is part of economic policy credibility.**

 

Leadership Should Be Judged by the Questions It Encourages

The quality of economic leadership should not be assessed solely by the GDP growth rate. A credible leadership framework should ask whether productivity is rising, whether labour incomes are increasing, whether private investment is broadening, whether employment is becoming more productive, whether household savings are strengthening and whether consumption is spreading beyond affluent groups. If the bottom half of households experiences only approximately 1% real wage growth, the policy response should not simply celebrate aggregate GDP. It should investigate why productivity gains are not translating into wages. Is the problem weak labour demand, excess labour supply, inadequate skills, technological substitution, weak bargaining power, insufficient manufacturing expansion, regional inequality or high food and housing costs? The credibility of a regime ultimately depends on whether it is willing to confront these uncomfortable questions rather than allowing aggregate indicators to substitute for economic welfare.

 

From “Fast Growth” to “Broad Growth”

India's next statistical and policy challenge is therefore to distinguish **growth of the measured economy from improvement in the economic lives of citizens**. Formalisation is desirable because it can increase productivity and protection, but it should not become synonymous with development. A formal job paying stagnant real wages is not automatically better development than a rapidly growing informal livelihood, while a digitally recorded transaction is not equivalent to increased productive capacity. The ideal transformation would simultaneously increase formal employment, productivity, real wages, household financial savings, private investment and mass consumption. Such a transformation would make the economy not only easier to measure but also materially stronger.

 

Conclusion: The Test Is Not Whether GDP Is Rising, but Whether the Economy Is Becoming More Visible and More Prosperous

India's informal economy presents both a measurement challenge and a development opportunity. Formalisation can improve productivity, taxation, financial access and statistical coverage, but it can also create breaks in historical comparability because a newly visible economy is not necessarily a newly created economy. This is why GDP, real wages, employment, productivity and household consumption must be examined together. If aggregate growth remains high while real wages for the bottom half rise by only about 1%, the possibility of weak mass demand deserves serious attention even when the economy is technically expanding. In the internet age, India has an unprecedented opportunity to build a more granular, timely and transparent statistical system. But technology alone cannot create credibility. **Credibility comes when leadership allows statistics to measure reality rather than requiring reality to conform to a growth narrative.** The strongest economic regime would therefore be one that welcomes scrutiny, publishes comparable data, explains methodological changes openly and treats rising real incomes and productivity—not GDP alone—as the ultimate evidence of successful development.

Indian Economic Policymaking When the Bottom Half Stagnates: A Comparison with the Previous Regime.....

Introduction  

The central question for judging Indian economic policy should not be whether GDP has grown rapidly, stock markets have risen, corporate profits have expanded, or India has become one of the world’s largest economies. The harder question is whether economic growth has translated into sustained improvements in the purchasing power, employment security and incomes of ordinary households. On this test, the last twelve years present a mixed and uncomfortable picture. India has achieved substantial macroeconomic expansion, infrastructure investment, digitalisation, financial inclusion and formalisation, yet the evidence on wages shows that the benefits have not translated proportionately into higher real earnings for many workers. The International Labour Organization’s India Employment Report 2024 found that average real monthly earnings of regular salaried workers fell from about ₹12,100 in 2012 to ₹10,925 in 2022, while self-employed real earnings also weakened and casual workers experienced only modest real growth. This does not prove that every person in the bottom 50% became poorer, because India lacks a continuous, comprehensive annual household-income series capable of measuring the real income of precisely the bottom half. But it does establish a serious policy problem: aggregate growth has not automatically produced broad-based growth in labour incomes.

 

The Starting Point: What Happened Under the Previous Regime?  

The comparison with the United Progressive Alliance period is important because the present wage problem did not originate entirely after 2014. Between roughly 2004-05 and 2011-12, India experienced exceptionally strong growth in employment, wages and poverty reduction. The ILO reported that average real daily wages roughly doubled between 1993-94 and 2011-12, with particularly strong improvements among rural, casual and lower-paid workers. Economic growth averaged around 7.7% annually during the UPA’s ten-year period, although inflation became a major problem during its later years. The distinction is therefore not that the earlier regime produced perfect inclusive growth while the later regime produced inequality. Rather, the evidence suggests that the earlier high-growth phase generated a stronger rise in real labour earnings, particularly before 2011-12, whereas the post-2014 period has struggled to reproduce that wage momentum. The previous regime consequently deserves criticism for inflation, inadequate infrastructure, fiscal weaknesses and policy paralysis in its later years, but its record cannot simply be dismissed when evaluating the distribution of economic growth.

 

The Post-2014 Growth Model  

Since 2014, Indian policymaking has placed considerable emphasis on macroeconomic stability, infrastructure, formalisation, manufacturing, digital payments, financial inclusion, public capital expenditure and supply-side reforms. These policies have generated important gains: inflation targeting strengthened monetary credibility, GST created a more unified indirect-tax system, insolvency reform improved the framework for resolving stressed assets, public infrastructure investment expanded, and digital public infrastructure dramatically reduced transaction costs. The problem is that these achievements do not automatically create high-paying employment. An economy can become more productive, formal and capital-intensive while the bargaining power of low- and middle-skilled workers remains weak. Indeed, the ILO data show the contradiction particularly clearly: regular salaried workers’ real monthly earnings declined from ₹12,100 in 2012 to ₹10,925 in 2022, while the real earnings of casual workers rose from ₹3,701 to ₹4,712. The result is not an absence of economic progress but a weak transmission mechanism between productivity, investment and household purchasing power.

 

The Bottom Half and the Income Distribution  

The distribution of national income makes the problem more serious. World Inequality Database estimates for 2022-23 suggest that the bottom 50% received approximately 15% of national income, compared with about 57.7% for the top 10% and 22.6% for the top 1%. These figures are estimates rather than household-survey measurements and therefore should not be treated as perfectly precise. Nevertheless, they illustrate the extraordinary concentration of income at the upper end. A rapidly expanding economy can simultaneously make millions of people better off while becoming more unequal if the income of the richest groups grows much faster than that of ordinary workers. The relevant criticism of policymaking is therefore not that India’s GDP growth is fictitious, but that the distributional elasticity of growth has been inadequate: too little of each additional unit of national output has translated into stronger labour income for those near the bottom.

 

Real Wages: The Most Important Warning Signal  

Real wages matter because nominal wage increases can be misleading. If a worker’s salary rises by 6% while the cost of living rises by 6%, purchasing power has not improved. The ILO’s findings are especially significant because they adjust earnings for inflation. Between 2012 and 2022, real monthly earnings of regular salaried workers declined by roughly 10%, from ₹12,100 to ₹10,925. Real self-employed earnings also weakened, while casual workers recorded an increase of roughly 27% over the decade. But even this improvement must be interpreted cautiously: casual workers began from extremely low earnings, and casual employment itself represents insecurity rather than economic security. A worker moving from ₹3,701 to ₹4,712 in real monthly earnings is better off in purchasing-power terms, but remains economically vulnerable. Thus the wage evidence points toward a structural problem rather than simply a temporary downturn: India has created employment, but not enough employment capable of generating sustained improvements in household living standards.

 

Why Has Growth Not Produced Stronger Wages?  

Several explanations compete. India’s labour supply remains enormous, particularly among workers with limited skills, allowing employers to restrain wage increases. Manufacturing has not absorbed labour on the scale required for a structural transformation comparable with East Asia. Agriculture continues to employ a large share of workers relative to its contribution to GDP. Informal and self-employment remain widespread, while small enterprises frequently operate with limited productivity and thin profit margins. The COVID-19 shock further damaged employment and household balance sheets. At the same time, technological change, automation and capital-intensive investment can raise output without generating equivalent demand for lowskilled labour. Consequently, GDP growth alone cannot solve the wage problem. What matters is the composition of growth: whether investment creates labour-intensive factories, construction, logistics, tourism, modern agriculture and tradable services capable of employing millions at progressively higher wages.

 

Inflation, Food Prices and the Cost-of-Living Problem  

The bottom half is particularly vulnerable to inflation because poorer households spend a larger proportion of their income on food, fuel, housing, transport and other necessities. A four- or fivepercent average inflation rate therefore does not necessarily feel like four or five percent to every household. Food-price shocks can have a disproportionately large effect on purchasing power. India’s monetary policy framework, with a 4% inflation target and a tolerance band of 2–6%, has helped establish greater macroeconomic stability than the high-inflation episodes associated with the later UPA years. Yet price stability alone is insufficient. If nominal wages grow slowly while food, rent, education, healthcare and transport costs rise, households can experience declining welfare even when headline CPI inflation appears moderate. Economic policymaking therefore needs to focus on the composition of inflation as well as its aggregate rate.

 

Comparing Employment Performance  

Employment provides perhaps the strongest distinction between headline economic success and household experience. India’s labour-force participation and worker-population ratios have improved in recent years, particularly after the pandemic, but the quality of employment remains contested. The Economic Survey’s recent data show nominal earnings rising substantially between 2018-19 and 2023-24: average monthly earnings of regular workers rose from about ₹15,885 to ₹20,702, while self-employed earnings increased from ₹10,323 to ₹13,279. Yet nominal increases must be deflated by inflation before concluding that living standards have improved proportionately. Moreover, the enormous expansion of self-employment can represent both entrepreneurship and disguised labour-market distress. A street vendor, unpaid family worker or low-productivity own-account worker is technically employed, but that employment may not provide the same economic security as a productive salaried job.

 

What Should Be Criticised in Policymaking?  

The strongest criticism is therefore not that the government has done nothing, but that its economic strategy has been insufficiently centred on labour-income growth. Public investment can crowd in private investment, but the transmission from infrastructure to household wages takes time and is not automatic. Tax reform can improve efficiency, but small businesses can initially face adjustment costs. Labour-market reform can encourage investment, but worker protection and bargaining power remain essential. Corporate tax reductions may improve investment incentives, but they do not guarantee that firms will distribute productivity gains through wages. Similarly, welfare transfers can prevent poverty but cannot substitute permanently for productive employment. The policy failure, if real wages for large sections have stagnated, is therefore one of economic composition: too much emphasis on aggregate supply and investment without an equally powerful strategy for raising labour productivity, employment intensity and workers’ share of productivity gains.

 

Was the UPA Better?  

The answer is neither an unconditional yes nor an unconditional no. The UPA’s strongest economic achievement was the acceleration of real wages and poverty reduction during its highgrowth years, particularly between the mid-2000s and 2011-12. Its weaknesses included persistent inflation, weak infrastructure in several areas, fiscal deterioration, banking-sector stress and later investment paralysis. The NDA period has arguably performed better on infrastructure, digitalisation, formalisation, macroeconomic credibility and public-capital expenditure, while the UPA period appears stronger on the growth of real wages during its best years. The crucial difference is that neither record provides a complete model of inclusive growth. The UPA demonstrated that rapid GDP growth can produce strong improvements in labour incomes, but failed to maintain macroeconomic stability and investment momentum. The NDA has demonstrated stronger macroeconomic and infrastructure management but has faced a more difficult challenge in converting growth into broad-based wage growth.

 

Conclusion: The Real Test of Indian Growth  

India’s economic performance over the last twelve years should therefore be judged neither through political slogans nor through a single GDP number. If the bottom half of the population has experienced stagnant or declining real incomes while corporate profits, asset prices and the incomes of the richest households have risen much faster, policymakers have a legitimate distributional problem to solve. At the same time, the evidence does not justify the simplistic claim that all poor Indians are poorer than in 2014. Welfare schemes, food support, electrification, housing, financial inclusion, higher labour-force participation and rising casual earnings have produced genuine gains. The more defensible conclusion is that India has experienced substantial economic growth without sufficiently broad-based growth in secure, high-productivity labour incomes. The previous regime should be criticised for inflation and institutional weaknesses, but the present regime should equally be criticised if twelve years of investment, reform and high aggregate growth have not generated stronger real wages for ordinary workers. The next phase of Indian economic policy must therefore move beyond the question of how fast GDP grows to the more consequential question of how rapidly productivity, employment quality and real incomes rise for the bottom half. That is the real measure of inclusive development.

Food Inflation in India: The Hidden Tax on Real Wages, Demand and GDP…..

Introduction

Food inflation is not merely a rise in the price of vegetables, cereals, pulses, milk, edible oil or meat; in India it is a macroeconomic shock that simultaneously affects real wages, household demand, business costs, inflation expectations and ultimately GDP growth. Its importance is unusually large because food still absorbs about 47% of rural household consumption expenditure and about 40% of urban expenditure, meaning that a sustained rise in food prices directly reduces the purchasing power available for non-food consumption. In 2023–24, average monthly per-capita consumption expenditure was about ₹4,122 in rural India and ₹6,996 in urban India, while food expenditure was ₹1,939 and ₹2,776 respectively. Thus, when food prices rise faster than wages, households face a decline in real living standards even when nominal incomes are increasing. The crucial macroeconomic question is therefore not simply whether food prices rise, but whether nominal wages, employment and productivity rise sufficiently to compensate. Food inflation can initially increase nominal agricultural incomes and stimulate some producers, but for the economy as a whole it often operates like a regressive tax because poorer households devote a much larger fraction of their budgets to necessities. The resulting reduction in discretionary purchasing power can weaken demand for clothing, transport, consumer durables, restaurants, education and other services, creating a transmission from the vegetable market to the broader GDP cycle.

 

Theories

The central theoretical mechanism is the real-income effect: real wages equal nominal wages adjusted for prices, so if food prices rise by 8% while wages rise by only 5%, workers experience an approximately 3% loss in food-adjusted purchasing power. Because low-income households have a high marginal propensity to consume, they cannot easily reduce food consumption; instead they reduce expenditure on other goods and services. This creates a substitution effect in which expensive food crowds out discretionary demand. A second mechanism is the wage-price-expectations channel. If workers expect food prices to remain high, they demand higher nominal wages; firms facing higher wage and input costs may increase prices, potentially creating second-round inflation. A third mechanism operates through the Phillips-curve framework: persistent food inflation can raise headline inflation expectations even when core inflation is initially subdued, forcing monetary policy to remain tighter for longer. The opposite risk is also important: if the central bank reacts aggressively to a temporary food-supply shock, higher interest rates can suppress investment and consumption without producing more vegetables or cereals. This is why supply-side food inflation presents a difficult policy problem. Finally, the agricultural supply response is often asymmetric. Higher prices can encourage farmers to plant more in the next season, but land, irrigation, storage, transport, weather and cropping cycles constrain the immediate response. Consequently, food inflation can remain high even when demand is weak, making it fundamentally different from ordinary demand-pull inflation.

 

History

India's post-2014 experience demonstrates the changing character of food inflation. The economy moved from the very high food-inflation environment associated with the late-2000s and early-2010s toward considerably lower inflation after the introduction of inflation targeting, but food-price shocks never disappeared. The food-and-beverages CPI experienced periods of very low or even negative inflation in 2018–19, followed by a sharp acceleration during 2019–20 and 2020–21, when supply disruptions, weather disturbances, logistics problems and the pandemic interacted with changing consumption patterns. Food inflation subsequently moderated during parts of 2021–22 but rose strongly again during 2022–23 and 2023–24. RBI data show food-and-beverages inflation reaching particularly high monthly rates in 2022–23 and 2023–24, including 8.1% in April 2022, 8.4% in June 2022, 10.6% in April 2023 and 9.2% in May 2023. The episode illustrates an important historical lesson: India's inflation problem has increasingly shifted from a simple shortage-of-food problem toward a combination of weather volatility, supply-chain bottlenecks, changing diets, input costs, storage limitations, global commodity shocks and policy-induced supply adjustments. The 2023–24 consumption survey is especially revealing because the food share of household expenditure increased rather than continued its earlier downward trend, reaching 47.04% in rural areas and 39.68% in urban areas. That reversal is consistent with the proposition that higher food prices can absorb part of the additional income that would otherwise have financed diversification toward non-food consumption.

 

Studies

The broad empirical literature on developing economies consistently finds that food inflation has a disproportionately large welfare effect on poorer households because food constitutes a larger share of their consumption basket. India's Household Consumption Expenditure Survey provides particularly powerful evidence of this structural difference. Between 2011–12 and 2023–24, the food share declined substantially over the longer period, but remained much higher for rural than urban households; in 2023–24 food represented roughly 47% of rural and 40% of urban MPCE. The composition of food spending is also significant: rural households devoted about 8.2% of total expenditure to milk and milk products, 5.9% to vegetables and 9.6% to beverages, refreshments and processed food, while urban households devoted about 7.1%, 4.1% and 11.0% respectively. This means that an inflation shock in milk, vegetables or processed foods can affect household welfare far more than an equivalent price increase in a low-weight discretionary product. Recent macroeconomic evidence also shows the reverse relationship between food prices and growth. India's real GDP grew 6.5% in FY2024–25 while private consumption grew 7.2%, and falling food prices subsequently contributed to a lower GDP deflator. This is important because nominal GDP can remain strong even when real household welfare is weakening: food inflation raises nominal expenditure, but the same rupee buys fewer goods. Therefore, policymakers should distinguish between nominal consumption growth caused by higher prices and genuine real consumption growth caused by greater quantities and purchasing power.

 

Analysis

The effect of food inflation on real wages can be understood through a simple household budget. Suppose a rural worker earns ₹12,000 per month and food consumes 47% of the household budget. If food prices increase 8% while nominal wages increase only 5%, the household loses purchasing power because the cost of maintaining the same food basket rises faster than income. The family may respond by buying cheaper varieties, reducing protein consumption, postponing clothing purchases, delaying medical expenditure or cutting transport and entertainment. This behaviour reduces aggregate demand outside food. The paradox is that food inflation can therefore increase nominal food expenditure while reducing real demand elsewhere. Producers may initially benefit because higher farm-gate prices increase agricultural income, especially for farmers with marketable surpluses, but the effect is uneven because many agricultural households are simultaneously consumers and producers. Landless labourers, small farmers who buy food after selling crops, and urban workers can be net losers. On the supply side, higher food prices send a valuable price signal to producers, encouraging additional acreage, investment and supply, but this adjustment is slow. A vegetable shortage today cannot be solved immediately by planting more vegetables because production requires months, while weather, irrigation, fertiliser availability, storage and transport determine the actual response. Hoarding, wastage and fragmented agricultural markets can further amplify temporary shortages. Expectations can make the shock persistent: if households believe tomatoes, onions, pulses or milk will remain expensive, they may bring forward purchases, while workers seek higher wages and firms revise prices pre-emptively. The result can be a self-reinforcing inflationary process even after the original supply disruption disappears. Yet excessive monetary tightening is not a complete solution because interest rates cannot manufacture crops. The optimal response therefore combines credible monetary policy with supply-side intervention: better irrigation, cold storage, warehousing, roads, agricultural markets, crop diversification, insurance, accurate weather forecasting and temporary release of strategic stocks. The policy objective should be to prevent temporary supply shocks from becoming permanent inflation expectations.

 

Data

India's recent data illustrate the magnitude of the transmission. In 2023–24 rural MPCE was ₹4,122 and urban MPCE ₹6,996, with food accounting for ₹1,939 and ₹2,776 respectively. Food inflation was particularly volatile: food-and-beverages inflation averaged relatively low levels in some periods but surged to monthly rates above 8% repeatedly during 2022–23 and 2023–24. At the same time, the broader CPI remained much less volatile than food inflation, demonstrating how food shocks can temporarily dominate headline inflation even when non-food demand is not excessive. The data therefore support a crucial distinction between inflation and demand weakness: falling food inflation can raise real disposable income without any increase in nominal wages, whereas rising food inflation can reduce real demand even when nominal consumption expenditure increases. The 2023–24 HCES also shows that rural food expenditure was 47.04% of total MPCE compared with 39.68% in urban India, confirming why food inflation has a stronger welfare and demand effect in rural India.

 

Conclusion

Food inflation in India should therefore be understood as both an inflation problem and a real-income problem. Its greatest macroeconomic danger is not simply that food becomes expensive, but that higher food prices redistribute purchasing power away from households with high marginal propensities to consume and toward producers, intermediaries and sectors less likely to spend the additional nominal income immediately. When nominal wages fail to keep pace, real wages fall; when real wages fall, discretionary consumption weakens; when consumption weakens, businesses facing softer demand reduce production, hiring and investment, creating a negative feedback loop for GDP. At the same time, higher food prices can stimulate agricultural supply, so not every consequence is contractionary: farmers with surplus production may gain, investment in agriculture may increase and future supply can improve. The decisive issue is whether supply responds quickly enough to prevent temporary shocks from becoming persistent inflation expectations. India's experience shows why the best strategy is neither to suppress every food-price increase through blunt controls nor to treat every food shock as a monetary-demand problem. Stable inflation expectations, flexible monetary policy and aggressive investment in agricultural productivity, irrigation, storage, logistics, market integration and climate resilience must work together. Lower and more predictable food inflation would function like a broad-based real-wage increase for India's poorer households, releasing income for non-food consumption and strengthening the most important component of GDP—private consumption. In that sense, controlling food inflation is not merely about making groceries cheaper; it is a strategy for raising real wages, expanding effective demand, improving human welfare and making India's economic growth more durable and inclusive.

Modi Government and Food Inflation in India: How Much Has Been Controlled?

Introduction

Food inflation is perhaps the most politically and economically important measure of inflation in India because food absorbs a much larger share of household expenditure among poorer families than among richer households. A rise in the price of vegetables, pulses, cereals, milk, edible oils or other essentials therefore reduces real purchasing power immediately, even when headline inflation appears moderate. Judging the Modi government's record since 2014 consequently requires more than asking whether the Consumer Price Index has fallen: the relevant question is whether food prices have become structurally more stable, whether episodes of sharp inflation have become less frequent and whether poor households have been protected from supply shocks. The answer is mixed. India has achieved a substantial improvement in average headline inflation compared with the exceptionally high inflation environment inherited from the late UPA period, and monetary policy has become much more credible after the adoption of flexible inflation targeting. Yet food inflation has remained the government's weakest inflationary component, repeatedly reaching high levels because of weather shocks, crop failures, vegetable and pulse shortages, global commodity prices, supply-chain disruptions and export-import policy changes. The government's record is therefore better described as **considerable success in reducing general inflation, but only partial and uneven success in controlling food inflation**. Moreover, the interpretation of this achievement has become complicated by the recent change in the CPI base year from 2012=100 to 2024=100.

 

History

The Modi government entered office in 2014 after a period of exceptionally high inflation. Average headline CPI inflation was about 9.4 percent in 2013–14, according to RBI historical data, before falling to 5.8 percent in 2014–15, 4.9 percent in 2015–16 and 4.5 percent in 2016–17. It subsequently remained relatively moderate at 3.6 percent in 2017–18 and 3.4 percent in 2018–19, although inflation rose again to 4.8 percent in 2019–20, 6.2 percent in 2020–21, 5.5 percent in 2021–22 and 6.7 percent in 2022–23. This represents a significant disinflation compared with the beginning of the period, but it also shows that the government did not eliminate inflationary cycles. Food prices were particularly volatile. Food inflation averaged extremely high levels during the pandemic and subsequently during the pulses, vegetables, cereals and edible-oil shocks. The period after 2022 was especially revealing: food and beverages inflation averaged about 7.8 percent in 2022–23 and 7.0 percent in 2023–24, before easing substantially during 2024–25. Thus, the historical record supports both sides of the political argument. Supporters can reasonably claim that India moved from an inflation regime approaching double digits to one much closer to the RBI's 4-percent objective. Critics can equally reasonably argue that households continued to face repeated episodes in which the prices of essential food items rose far faster than headline inflation.

 

Studies

The economics of food inflation explains why the government's success cannot be measured solely by monetary policy. The RBI can influence aggregate demand and inflation expectations through interest rates, but it cannot manufacture tomatoes, onions, pulses, milk or wheat. Food inflation is heavily affected by agricultural supply, rainfall, irrigation, storage, transportation, market structure, international commodity prices and government trade policy. The Modi government's strategy has therefore combined monetary tightening with supply-side intervention, procurement, buffer stocks, food distribution, import liberalisation during shortages, export restrictions during domestic price spikes and efforts to improve agricultural infrastructure. The creation of a formal inflation-targeting framework was an important institutional achievement: the CPI target was set at 4 percent with a tolerance band of 2–6 percent. This helped anchor expectations and prevented temporary food shocks from automatically becoming persistent economy-wide inflation. Nevertheless, food inflation remained difficult because India's agricultural markets are fragmented and production is highly sensitive to weather. The evidence suggests that the government has been much more successful at preventing food shocks from permanently contaminating core inflation than at preventing the shocks themselves. In other words, the achievement is partly an **expectations-management success rather than a complete supply-side victory**.

 

Examples

The contrast between different periods illustrates this clearly. During 2019–20, food inflation accelerated dramatically, with the food-and-beverages component reaching double-digit inflation in several months as vegetable prices surged. The COVID-19 period created another unusual combination of supply disruption, logistics problems and changing consumption patterns. Food inflation remained elevated in 2020–21 despite weak overall economic activity, demonstrating that inflation was not simply a demand phenomenon. In 2022–23 and 2023–24, inflation in cereals, vegetables, pulses and other essentials again became a major political concern. The government responded through measures such as releasing food stocks, restricting or modifying exports, allowing imports, imposing stock limits and attempting to increase domestic availability. Such interventions can be effective in suppressing short-term price spikes, but they also reveal the structural problem: when inflation rises because production is inadequate, administrative restrictions cannot substitute permanently for productivity, irrigation, storage, cold chains and better agricultural markets. The recent experience also demonstrates the importance of weather. Food inflation fell dramatically during 2025 as favourable weather and higher production improved supply. By December 2025, combined CFPI inflation was actually negative 2.71 percent, while headline CPI inflation was only 1.33 percent. This extraordinary fall cannot reasonably be attributed entirely to government policy; favourable supply conditions played a major role. The lesson is that government policy can moderate food inflation, but nature and agricultural supply still exert enormous influence.

 

Data

The long-run numbers show substantial progress in the inflation environment. RBI data put average headline CPI inflation at 9.4 percent in 2013–14, compared with 5.8 percent in 2014–15, 4.9 percent in 2015–16, 4.5 percent in 2016–17, 3.6 percent in 2017–18 and 3.4 percent in 2018–19. The later shocks pushed inflation higher, but the average remained far below the pre-2014 level. Food inflation, however, tells a less comfortable story. Food-and-beverages inflation averaged 3.0 percent in 2018–19 but 1.4 percent in 2019–20 before exploding to 10.5 percent in 2020–21; it then moderated to 2.6 percent in 2021–22, rose to 8.1 percent in 2022–23 and 4.2 percent in 2023–24, while the available 2024–25 data showed renewed food pressure in the first months of the year. By January 2025, CFPI inflation was still 6.02 percent. Yet by December 2025 it had fallen to minus 2.71 percent. These numbers demonstrate both the scale of the improvement and the volatility of the series. They also caution against attributing every movement to the government. The government's policies mattered, but weather, global prices, production cycles and statistical base effects mattered too.

 

Inflation Base Year

The role of the inflation base year is particularly important in evaluating the latest data. Until 2026, India's CPI series used 2012=100, with weights derived from household consumption expenditure from the 2011–12 consumption survey. MoSPI subsequently introduced a new CPI series with 2024=100, using the 2023–24 Household Consumption Expenditure Survey to make the basket more representative of contemporary consumption. The new series expanded the weighted basket from 299 to 358 items and incorporated substantially updated consumption weights. This does **not** mean that changing the base year magically reduces inflation. Inflation is fundamentally the percentage change in prices, whereas the base year establishes the reference point and, more importantly, the expenditure weights used to construct the index. Updating those weights can therefore change the measured inflation rate because Indian households consume a different composition of goods and services today than they did in 2011–12. MoSPI has also produced linking factors and a back series to improve continuity between the two systems. The distinction is crucial politically: if inflation appears lower under the new series, it should not automatically be described as statistical manipulation, but neither should the entire improvement be attributed to government performance. The new basket is intended to provide a more realistic representation of contemporary household consumption. Comparisons across the base-year change should therefore rely on the official linked series rather than simply placing two headline numbers side by side.

 

Debate

The strongest case for the Modi government is that India has experienced a fundamentally more stable inflation regime than the one prevailing immediately before 2014. Inflation targeting, stronger monetary credibility, improved food-grain procurement and distribution, strategic buffer stocks, infrastructure investment and rapid policy intervention during food shortages have helped prevent many temporary supply shocks from turning into prolonged generalized inflation. The government can also claim that extremely low food inflation in parts of 2025 demonstrated the capacity of the system to bring prices down when supply conditions improve. The strongest criticism, however, is that food inflation remains structurally persistent and that repeated export bans, import decisions, stock restrictions and administrative interventions sometimes address symptoms rather than causes. A poor household does not experience "headline inflation"; it experiences the price of rice, wheat, dal, vegetables, milk and cooking oil. If food prices rise 8–10 percent while headline inflation remains near 4–5 percent, the official success can coexist with considerable hardship. Furthermore, free or subsidised food distribution protects consumption but does not necessarily mean that market food inflation has been controlled. The distinction between **controlling prices and compensating households for high prices** is therefore essential. The government has achieved considerable success in the latter through food-security mechanisms, but the former remains incomplete.

 

Conclusion

The fairest assessment is that the Modi government has achieved **substantial success in controlling the broader inflation regime but only partial success in controlling food inflation itself**. The fall from approximately 9.4 percent headline CPI inflation in 2013–14 to a long period around 4–6 percent is economically meaningful and reflects improved monetary and policy credibility. Yet food inflation has remained the principal source of inflationary instability, with dramatic episodes during 2019–21 and again in 2022–24. The exceptionally sharp decline during 2025 demonstrates that supply conditions can transform the inflation picture rapidly, while the new 2024 CPI base reminds us that measurement itself evolves as household consumption changes. Therefore, claiming that the government has either completely defeated food inflation or completely failed would be equally misleading. Its real achievement has been to create a considerably more credible low-inflation macroeconomic framework and to respond aggressively to food-price shocks. Its unfinished task is structural: raising agricultural productivity, improving storage and logistics, reducing post-harvest losses, strengthening supply chains and making food markets less vulnerable to weather and policy shocks. Ultimately, the test of success should not be whether a favourable statistical base produces a low inflation number, but whether an ordinary Indian household can buy nutritious food with a steadily rising real income and without repeated price shocks. That is the standard against which the government's food-inflation record remains a **qualified rather than complete success**.