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**.

India’s Productivity–Wage Paradox: Why Labour Income Can Stagnate While Output and Capital Returns Rise......

Introduction

India presents an important distributional paradox: the economy can produce substantially more output per worker while the real incomes of a large part of the workforce remain stagnant, weak or even declining. This does not necessarily mean that Indian labour productivity has failed to improve; rather, the central question is how the additional value created by higher productivity is divided between workers, capital owners, entrepreneurs, the government and consumers. Recent labour-market evidence illustrates the tension. Official PLFS data show that average nominal earnings have risen, but nominal growth must be adjusted for inflation, and the experience differs sharply across regular employees, self-employed workers and casual labourers. In 2025, average earnings of casual workers were about ₹453 per day nationally, compared with ₹430 in 2024, while average self-employment earnings were about ₹14,861 per month, but these averages conceal enormous inequality. Other analysis of PLFS data suggests that a substantial section of workers earns far below the national average, while recent urban labour-market evidence indicates that real wage growth has been extremely weak. The crucial economic issue, therefore, is not whether wages have risen in rupee terms, but whether the purchasing power of labour has risen proportionately to the amount of output and value added produced by workers. If productivity rises faster than real wages for a prolonged period, the labour share of national income can fall and the capital or profit share can rise. That can produce a strange combination of impressive GDP growth, rising corporate profits and asset returns, but weak mass purchasing power, creating a structural imbalance between India’s productive capacity and the demand required to absorb that capacity.

 

Theories

Classical, neoclassical, Keynesian and modern distribution theories provide different interpretations of this phenomenon. In a competitive economy, the marginal-productivity theory of distribution suggests that workers should eventually receive compensation related to their marginal contribution to output, while capital should receive a return related to its marginal product. But this theoretical equality does not automatically occur because actual labour markets contain unemployment, informality, monopsony power, unequal bargaining strength, skill differences, barriers to mobility and large pools of surplus labour. Keynesian economics adds a crucial demand-side insight: wages are not merely a production cost; they are also household income and therefore a major source of consumption demand. A worker who receives an additional ₹1,000 is likely to spend a much larger fraction of it than a wealthy investor receiving an additional ₹1,000 of capital income. Consequently, transferring a greater share of productivity gains from labour to capital can increase saving and investment but simultaneously weaken consumption demand. Kaleckian theory goes further by arguing that the distribution between wages and profits can itself influence aggregate demand and capacity utilisation. Marxian and institutional theories emphasise bargaining power, ownership and the ability of capital to appropriate productivity gains. Modern labour economics adds automation, skill-biased technological change and superstar firms: technology can raise output enormously while increasing demand mainly for highly skilled workers and capital, leaving low-skilled workers with limited bargaining power. Thus, rising productivity does not mechanically guarantee rising wages. The relevant distinction is between the productivity of the average worker and the bargaining position of the median or bottom-half worker. India can experience strong aggregate productivity growth while millions of workers remain trapped in low-productivity occupations, because capital-intensive firms, modern services and organised manufacturing can pull national productivity upward without creating enough high-paying employment.

 

History

India’s historical experience provides considerable support for this distinction. During the early decades after independence, industrialisation was constrained by low capital formation, regulation and limited technological capacity, while agriculture absorbed a very large proportion of the workforce. The Green Revolution subsequently raised agricultural productivity in important regions, while economic liberalisation after 1991 accelerated investment, trade, technology adoption and the expansion of services. After 2000, information technology, telecommunications, finance, organised retail, construction and modern manufacturing created high-productivity enclaves. Yet structural transformation did not proceed as completely as in East Asian economies because a very large labour force remained in agriculture, informal construction, petty trade and low-productivity services. The post-2000 period therefore produced two Indias simultaneously: one with globally competitive firms, high capital intensity, sophisticated digital infrastructure and rapidly rising output per worker, and another in which workers compete for low-paid informal employment. Research on organised manufacturing has historically found a striking divergence between labour productivity and real wages, with labour's share of value added falling substantially over some periods. This is important because the issue is not unique to the post-pandemic economy. India’s long-run development has repeatedly demonstrated that GDP growth can coexist with weak labour absorption. The major structural problem is that workers have moved out of agriculture more slowly than productivity has increased in modern sectors. When labour moves from low-productivity agriculture into construction or informal services rather than into high-productivity manufacturing, average productivity can rise without generating the wage explosion associated with successful industrialisation elsewhere.

 

Studies

Recent studies and datasets make the argument more nuanced rather than proving a simple universal decline in Indian wages. The ICRIER India Jobs and Occupation Tracker has found that nominal urban wages since 2019 increased at roughly 6% annually, while real wages increased by only about 0.5% annually, with some quarters recording negative real wage growth. Research using rural wage data has also found prolonged real-wage stagnation in many agricultural and non-agricultural occupations. At the same time, official PLFS data show considerable nominal earnings increases: regular salaried male earnings rose from ₹22,891 in 2024 to ₹24,217 in 2025, while female earnings increased from ₹17,126 to ₹18,353. Casual labour earnings, however, remained dramatically lower. The most important conclusion is therefore distributional. An average wage increase does not establish that the bottom half has experienced comparable real-income growth. If inflation is 4–5% and nominal earnings rise 5–6%, real earnings rise only marginally; if food, housing, education, healthcare and transport costs rise faster than the general consumer-price index relevant to poorer households, their perceived and effective real income can fall further. Moreover, PLFS earnings are not identical to household disposable income, because workers can experience changes in hours worked, employment continuity, household size, debt, transfers and prices. The evidence therefore supports a cautious proposition: India has experienced significant increases in nominal earnings and employment indicators, but real wage growth for a large section of lower-paid workers has been weak, uneven and insufficient relative to the economy’s broader productivity potential.

 

Precedents

International experience demonstrates that productivity-driven wage growth is possible when institutions, labour demand and structural transformation reinforce one another. Japan, South Korea and Taiwan experienced periods in which rapid industrial productivity growth was accompanied by strong manufacturing employment, rising wages, expanding domestic consumption and increasingly sophisticated exports. China also experienced several decades of exceptionally rapid wage growth as millions of workers moved from agriculture into manufacturing and construction, although its more recent experience demonstrates that capital deepening can eventually outpace labour-income growth. The United States provides another precedent: productivity and median compensation broadly rose together for much of the post-war period, but their relationship weakened significantly in later decades, particularly when measured using different price deflators and compensation concepts. Germany’s coordinated wage-setting institutions historically provided stronger mechanisms for sharing productivity gains between firms and workers. These examples suggest that the decisive variable is not productivity alone but the institutional mechanism connecting productivity to wages. India’s large informal sector, weak collective bargaining, abundant labour supply and concentration of high-productivity activity among relatively few firms weaken that connection. A firm facing hundreds of potential workers for a low-skilled job has little economic reason to bid wages sharply upward unless labour becomes genuinely scarce. By contrast, when firms compete intensely for skilled workers or when labour shortages emerge, wages can rise rapidly even without regulatory intervention. India therefore needs productivity growth that is labour-absorbing rather than merely capital-intensive.

 

Examples and Data

The most revealing example is the contrast between a highly productive modern firm and a low-paid informal worker. Suppose a factory introduces automation and increases output per worker by 30%. If the worker’s real wage rises by only 5%, the remaining productivity gain becomes available for higher profits, lower unit costs, greater investment, debt servicing, taxation or lower prices. If this happens across thousands of firms, GDP can grow strongly while the labour share stagnates. The same mechanism operates in digital services, logistics, finance and organised retail. Capital-intensive investment can increase output enormously without proportionately increasing employment. India’s recent employment structure still illustrates the problem: agriculture accounted for roughly 43% of employment in 2025, while manufacturing accounted for about 12% and construction about 12%. Regular wage or salaried employment increased to about 23.6%, but self-employment remained the dominant category. The income distribution within employment is even more important than these aggregate shares. A daily wage of ₹400–₹500 can look like a substantial nominal increase compared with historical levels, yet annual income remains low when employment is irregular and household dependants are numerous. Meanwhile, capital owners can benefit simultaneously from higher corporate profits, land appreciation, equity valuations, interest income and productivity-enhancing investment. It would nevertheless be incorrect to conclude that the real rate of return on all capital is necessarily higher than labour productivity. Aggregate capital productivity is difficult to measure because capital stocks, depreciation, utilisation and intangible assets are uncertain. What can be established more plausibly is that the capital share of income can rise even when the physical productivity of capital falls, because distribution depends on prices, market power and relative bargaining strength as well as physical productivity.

 

Graphs

The first graph should be interpreted as an illustrative representation of the mechanism rather than as a single official time series: it shows how a falling labour share and rising capital share can emerge when productivity gains are distributed disproportionately toward capital. The second graph illustrates the central paradox by indexing labour productivity and real wages to the same starting point. If productivity reaches 170 while real wages reach only 113, workers have not necessarily become poorer in absolute terms, but their income has failed to capture the economy’s full productivity improvement. That distinction is fundamental. A worker can receive a higher real wage than ten years earlier while simultaneously receiving a smaller proportion of the value that his or her labour helps create. The resulting distributional gap can become economically significant because the bottom half has a much higher marginal propensity to consume than the wealthy. If the productivity dividend goes disproportionately to households with high savings rates, the immediate consumption multiplier becomes weaker. The economy can compensate through investment, exports, government spending or household borrowing, but each substitute has limits. Excess dependence on investment can produce excess capacity; export dependence makes growth vulnerable to global demand; fiscal expansion can increase public debt; and household borrowing can sustain consumption temporarily while weakening balance sheets later.

 Effects on Demand

Weak real wages at the bottom of the distribution can constrain India’s most important potential growth engine: mass domestic consumption. Lower-income households spend most additional income on food, clothing, housing, transport, education, healthcare and basic services. When their real incomes stagnate, consumption growth becomes dependent on population growth, transfers, informal credit and the spending of higher-income households. This produces a qualitative difference in demand. A ₹1 lakh increase in income for a low-income household can generate several rounds of additional consumption, whereas the same increase for a wealthy household may largely become financial saving or asset purchases. Therefore, an economy in which productivity rises but labour incomes lag can experience strong investment and financial-market performance without equally strong broad-based consumption. Weak demand then feeds back into firms’ expectations: businesses may invest in automation rather than employment if they see insufficient mass purchasing power, reinforcing the original capital-intensive pattern. This can become a self-reinforcing equilibrium in which low wages reduce consumption, weak consumption reduces labour demand, weak labour demand suppresses wage bargaining power and suppressed wages encourage firms to favour capital-intensive production.

 

Effects on Supply and Prices

At first glance, low wages appear beneficial for supply because they reduce production costs and can improve international competitiveness. But the long-run effect is more complicated. Very low wages can discourage investment in worker training, productivity-enhancing management and labour-saving technologies designed to complement rather than replace workers. Firms may prefer inexpensive labour to capital deepening, leaving workers trapped in low-productivity activities. Conversely, rising wages can stimulate firms to invest in technology, skills and organisational efficiency because labour becomes more valuable. This is the classic efficiency-wage and induced-innovation channel. The effect on prices is similarly ambiguous. If wages rise faster than productivity, unit labour costs rise and firms may increase prices, reduce margins or substitute capital for labour. But if wages rise alongside productivity, the economy can sustain higher real incomes without proportional inflation. Indeed, productivity growth can permit wages to increase while unit costs remain stable. Therefore, the policy objective should not be artificially suppressing wages to control inflation. It should be raising productivity rapidly enough that real wages can rise without generating excessive unit-cost inflation. A productivity-led wage increase is fundamentally different from a nominal wage increase unsupported by productive capacity.

 

Effects on GDP

The consequences for GDP are potentially profound. In the short run, shifting income toward capital can raise savings and investment, which may increase productive capacity and therefore GDP. If capital is efficiently invested, the resulting productivity gains can eventually raise wages. But if the distributional shift becomes excessive, domestic demand can become insufficient to utilise the capacity created. GDP then becomes increasingly dependent on government expenditure, exports or investment itself. This is sustainable only if those components remain strong. The deeper problem is underutilisation of human capital. A country with hundreds of millions of workers cannot achieve its maximum potential GDP merely by increasing capital per worker in selected sectors. It must increase the productivity and earnings of the median worker. Moving a worker from low-productivity agriculture to high-productivity manufacturing or modern services can generate a double dividend: output rises and household income rises simultaneously. India’s demographic advantage therefore depends less on the sheer number of workers than on whether those workers become productive, employable and sufficiently well-paid to create a large middle-class consumption base. A sustained productivity–wage divergence can consequently reduce the income elasticity of mass consumption, weaken labour participation incentives and prevent the demographic dividend from becoming a genuine income dividend.

 

Conclusion

India’s apparent productivity–wage paradox should therefore not be interpreted as evidence that productivity growth is undesirable or that capital returns are inherently excessive. Capital accumulation is indispensable for raising productivity, and higher profits can finance investment, innovation and employment. The problem arises when productivity gains are persistently disconnected from the incomes of ordinary workers. The evidence suggests that India has achieved substantial improvements in output, technology and productive capacity, while real wage growth among many lower-paid workers has remained weak and highly uneven. The central policy challenge is consequently to strengthen the transmission mechanism from productivity to labour income. This requires faster structural transformation into labour-intensive manufacturing and modern services, greater competition for workers, improved education and skills, stronger female employment, better urbanisation and worker mobility, formalisation without destroying employment, social protection that supports mobility rather than permanent informality, and macroeconomic stability that protects real purchasing power. The objective should not be to force capital to surrender legitimate returns, but to ensure that capital deepening creates complementary labour demand rather than replacing low-paid workers without generating better opportunities. If productivity grows at 5–6% while real wages grow at only 0–1%, India can obtain impressive GDP numbers without generating proportionate improvements in mass living standards. If productivity and real wages instead rise together, the same productivity revolution can create stronger consumption, deeper savings, more investment, healthier demand, sustainable supply expansion and lower unit costs. The real development test for India, therefore, is not simply whether output per worker rises, but whether the typical worker receives a sufficiently large share of that rising output to become a stronger consumer, saver and investor. That is the difference between GDP growth that enriches an economy statistically and productivity growth that makes the society genuinely wealthier.

Labour and Capital Productivity in India Since Independence: Real GDP, Regime Performance and the Politics of the Base Year.....

Introduction

India’s economic performance since independence in 1947 can be understood most fundamentally through the productivity of its two classical factors of production, labour and capital, because long-run real GDP cannot rise sustainably merely through higher prices, monetary expansion or the accumulation of more inputs; it must ultimately reflect an increase in the quantity and quality of goods and services produced from workers, machines, infrastructure, land, technology, knowledge and institutions. India moved from a predominantly agrarian economy with extremely low capital intensity, widespread disguised unemployment and limited industrial capacity in 1947 to a diversified economy with substantial physical capital, human capital, digital infrastructure, modern services and globally integrated firms, but the journey was highly uneven across regimes. The planning era built basic capabilities but suffered from low productivity, capital misallocation and regulatory constraints; the reforms of the 1980s and especially 1991–2000 increased competition, private investment and allocative efficiency; the 2000s combined capital deepening with rapid productivity growth and produced exceptionally high real GDP growth; the post-2010 period has achieved substantial infrastructure, formalisation and digitalisation but has also faced weaker private investment, employment-quality concerns and slower productivity gains; and the post-pandemic period has displayed strong headline real GDP growth but requires careful interpretation because statistical revisions, changing sectoral weights and the transition from the 2011–12 GDP series to the 2022–23 base-year series complicate comparisons across regimes. The central distinction is therefore between nominal GDP, which measures output at prevailing prices, and real GDP, which attempts to measure changes in physical economic activity after removing price effects. A government cannot simply create real production by changing the base year, but a base-year revision can change the measured level and growth path of real GDP because relative prices, weights, coverage, data sources and methodologies change. That is why India’s economic history should be evaluated simultaneously through productivity, investment, employment, consumption, capital formation and independent physical indicators rather than through headline GDP alone.

 Theories

The Solow growth framework provides the most useful starting point because output depends on capital, labour and total factor productivity, meaning that an economy can initially grow by employing more workers and accumulating machines but eventually requires technological progress, better organisation and improved human capital to maintain high growth. Capital deepening raises labour productivity because a worker with electricity, machinery, roads, computers, software and modern equipment can produce substantially more than a worker using primitive tools, while total factor productivity captures improvements that cannot be explained simply by more labour and capital. The Harrod-Domar tradition places greater emphasis on investment and the capital-output relationship, which is particularly relevant to post-independence India because the country began with a severe shortage of productive capital. Lewis’s dual-sector model is equally relevant because India initially had enormous surplus labour in agriculture, so transferring workers from low-productivity agriculture into manufacturing, construction and modern services could increase aggregate productivity without requiring extraordinary technological breakthroughs. Endogenous-growth theories subsequently highlighted education, research, technological diffusion, infrastructure, institutions and knowledge spillovers, explaining why productivity differences between countries persist even when capital accumulation becomes substantial. The key implication is that India’s real GDP growth should be decomposed conceptually into growth arising from more workers, more capital per worker and higher efficiency in using both. If nominal GDP rises from ₹100 to ₹120 while prices rise by 10%, the economy has not necessarily produced 20% more goods and services; approximately 10% of the increase may represent prices and the remainder real expansion. Conversely, if improved measurement reveals that services, digital activities or informal enterprises were previously undercounted, measured real GDP can rise without an equivalent sudden increase in physical production. Thus, productivity is the bridge between GDP statistics and actual economic capacity.

 

Studies and Evidence

The broad historical evidence suggests that India’s labour productivity has increased enormously since independence, although not uniformly across sectors or social groups, while capital productivity has improved much more unevenly. In the 1950s and 1960s, agricultural labour productivity was extremely low, industrial technology was constrained by limited foreign exchange and domestic capacity, and capital was concentrated in relatively protected sectors. The Green Revolution subsequently generated a major agricultural productivity improvement in selected regions, while investments in irrigation, power, heavy industry, engineering and education expanded the productive base. During the 1970s, however, the combination of regulation, nationalisation, trade restrictions and investment controls limited competitive pressure and produced relatively weak aggregate productivity growth. The 1980s marked a transition as industrial controls were gradually relaxed, infrastructure improved and private investment became more dynamic, producing real GDP growth of roughly 5½–6% a year compared with the approximately 3–4% range associated with much of the earlier planning period. The 1991 reforms strengthened this process through trade liberalisation, industrial deregulation, financial-sector reform and greater exposure to international competition. During the 2000s India combined rapid capital accumulation with rising labour productivity, expansion of telecommunications and information technology, stronger infrastructure investment, rising services exports and greater private-sector dynamism, allowing real GDP growth to approach or exceed 7% for much of the decade. The subsequent decade remained substantially faster than the pre-reform period but experienced a more complicated productivity environment: investment slowed after the global financial crisis, stressed bank balance sheets constrained capital formation, the informal sector faced major adjustments, and the economy became increasingly service-led. The pandemic produced an extraordinary contraction followed by a statistical rebound, making growth rates after 2020 particularly sensitive to base effects. The broad historical pattern is therefore not that one regime continuously outperformed all others, but that each period solved some constraints while creating or inheriting others: the early planning regime created industrial and institutional capacity, the reform era improved allocative efficiency, the 2000s exploited the resulting foundation particularly effectively, and the recent period has expanded infrastructure and formalisation while still needing stronger employment-intensive productivity growth.

 

Capital Productivity and the Quality of Investment

Capital productivity deserves particular attention because high investment does not automatically generate high GDP growth. India has periodically experienced substantial capital accumulation without a proportional increase in output because the marginal productivity of capital depends on where investment is allocated, how efficiently projects are completed and whether complementary labour, energy, logistics, technology and institutions are available. Public investment in dams, power plants, railways, highways, ports, schools and industrial infrastructure can create large external benefits that are not immediately visible in the profitability of an individual project, while poorly chosen projects, delays, excess capacity or politically directed credit can reduce capital efficiency. The pre-1991 regime accumulated a significant industrial capital stock but often operated it under restrictive licensing and weak competitive incentives. The 1990s improved capital allocation through liberalisation and competition, while the 2000s produced an investment boom in infrastructure, construction, telecommunications and manufacturing. Yet the later emergence of corporate leverage and banking-sector stressed assets demonstrated that the quantity of capital formation was not sufficient; the productivity of capital and the financial sustainability of investment mattered equally. A useful way of interpreting India’s long-run experience is therefore that capital deepening initially generated large gains because the country was far from the technological frontier, but as the capital stock increased, diminishing returns made productivity-enhancing technology, managerial quality, skills and institutional efficiency increasingly important. This is why an economy can have more roads, factories, computers and financial capital while simultaneously experiencing disappointing incremental output from each additional unit of investment.

 

Labour Productivity, Employment and Structural Transformation

Labour productivity has been the stronger long-term success story, but aggregate averages conceal an enormous structural transformation. A worker leaving subsistence agriculture for a modern factory, construction project, logistics company, organised retail business, financial institution or technology-enabled service can generate several times the output previously associated with that worker, so movement from agriculture toward higher-productivity sectors is itself an important source of GDP growth. India, however, has not completed this transformation in the same manner as East Asian manufacturing economies. A large share of employment remains concentrated in agriculture and informal activities whose measured productivity is relatively low, while high-productivity services employ a much smaller fraction of the workforce. This creates a paradox: India can display strong aggregate labour productivity growth because workers and output are increasingly concentrated in productive sectors, yet millions of workers may experience modest real income growth if they remain in low-productivity employment or if the gains from productivity are captured disproportionately by capital owners and highly skilled workers. Consequently, GDP per worker is not identical to household prosperity. Real wages, hours worked, labour-force participation, employment intensity of growth and distribution of productivity gains must be examined alongside GDP. A regime that produces 7% real GDP growth but only modest broad-based employment and real-wage growth has achieved a different kind of productivity performance from one in which output and worker incomes rise together.

 

Nominal GDP, Real GDP and the Base-Year Problem

The distinction between nominal and real GDP becomes crucial when comparing India across decades and regimes. Nominal GDP is measured using current prices, so it rises because the economy produces more as well as because prices increase; real GDP attempts to isolate the volume of production by valuing output using a common price framework. India has repeatedly revised its national-accounts base year, including earlier series based on 1948–49, 1960–61, 1970–71, 1980–81, 1993–94, 1999–2000, 2004–05 and 2011–12, and the new national-accounts series released in 2026 uses 2022–23 as its base year. The latest revision is important because it incorporates newer data sources, revised sectoral structures and methodological improvements and therefore should not be interpreted as simply changing one number. Under the new series, India’s provisional FY2025–26 nominal GDP was about ₹346.36 lakh crore while real GDP at 2022–23 prices was about ₹323.12 lakh crore, with real GDP growth estimated at 7.7% and nominal GDP growth at 8.9%. The difference between the two growth rates broadly reflects the economy-wide price effect, although the relationship is not a simple one-to-one subtraction because GDP deflators are constructed from the national accounts. The important point is that nominal GDP has not been rewritten by the base year in the same conceptual sense as constant-price GDP: what changes substantially is the valuation framework used to estimate real volumes and therefore the measured growth path. A newer base year can change relative weights because an economy that once consisted heavily of agriculture and manufacturing may later contain much larger services, digital, financial and technology components. Consequently, comparing the real GDP level under two different base years without understanding the methodology can create the illusion that the economy itself has suddenly become larger in physical terms.

 The Debate Over “Debasing” GDP and Money

The phrase “debasing GDP” needs to be used carefully because changing the base year is not equivalent to debasing money and does not automatically constitute manipulation. Debasement traditionally refers to reducing the intrinsic value of money, whereas a statistical base revision changes the reference prices and weights used to construct constant-price estimates. Nevertheless, there is a legitimate political-economy concern: if a government presents a higher real GDP level or growth rate following a statistical revision as though the entire difference represents genuine additional production, the public can be misled. The same problem arises when nominal GDP is confused with real GDP, when a favourable GDP deflator mechanically raises measured real growth, or when revisions are compared selectively across regimes. The appropriate test is not whether the new series produces a higher or lower GDP number but whether the methodology is transparent, internally consistent, reproducible and supported by independent indicators such as electricity consumption, freight movement, vehicle sales, industrial production, tax collections, corporate revenues, household consumption, employment, investment and exports. A base-year revision is actually necessary because an obsolete base can become misleading: using the consumption and production structure of a distant year to represent a modern economy can distort measured real growth. The danger therefore lies not in revising the base year but in treating a methodological change as a real economic event. If the same nominal GDP is divided by a different implicit price structure, the resulting real GDP can change substantially even though factories, workers, machines and services have not physically changed overnight. This is precisely why a credible statistical system should publish long back-series, methodological documentation, sensitivity analysis and reconciliation tables whenever the base year changes.

 

Precedents and Regime Comparison

India’s experience demonstrates that statistical revisions can alter perceptions of past economic performance without necessarily proving that any government deliberately manipulated GDP. The 2015 introduction of the 2011–12 base-year series generated intense debate because the revised methodology changed the measured growth profile of the economy and altered comparisons across the United Progressive Alliance and National Democratic Alliance periods. Supporters argued that the new series improved measurement by incorporating better corporate information and modernising the national-accounts framework, while critics argued that the resulting historical growth revisions complicated political comparisons and raised questions about comparability with older indicators. The correct lesson is broader than the partisan dispute: economic performance should never be judged by a single GDP series. Similarly, the 2026 shift from the 2011–12 to the 2022–23 base year should be treated as a statistical improvement to be evaluated on methodological grounds rather than automatically as evidence that the current regime has either inflated or understated growth. Regime comparisons should instead examine average real GDP growth, labour productivity, capital productivity, total factor productivity, private investment, public investment, employment, real wages, exports, consumption, infrastructure creation and financial stability simultaneously. On such a multidimensional assessment, the early planning regimes deserve credit for building the foundations of industrialisation and human capabilities; the 1980s deserve recognition for initiating acceleration; the post-1991 reform period deserves credit for improving competition and resource allocation; the 2000s stand out for combining investment, productivity and exceptionally rapid growth; and the post-2010 period presents a mixed record in which infrastructure, digitalisation, formalisation and resilience coexist with unresolved challenges concerning private capital formation, employment quality and broad-based productivity.

 

Data and Graphical Interpretation

The broad historical picture can be represented by an illustrative synthesis in which real GDP growth averages around 4% during 1950–65, about 3.2% during 1965–80, roughly 5.6% during 1980–90, 5.7% during the 1990s, approximately 7% during 2000–10, around 6.4% during 2010–20 and roughly 6.2% during 2020–26, although exact averages vary according to the series, endpoints and treatment of revisions; these figures should therefore be interpreted as broad analytical benchmarks rather than a substitute for a single official historical series. The accompanying productivity graph illustrates the fundamental mechanism: output per worker can rise much faster than output per unit of capital when structural transformation, education, technology and sectoral reallocation accelerate, while the base-year graph demonstrates why nominal GDP can remain unchanged while the measured real GDP estimate changes after statistical weights and price relationships are revised. The latest official national-accounts framework reinforces this distinction: FY2025–26 nominal GDP is around ₹346 lakh crore while real GDP is around ₹323 lakh crore at 2022–23 prices, showing why nominal size and real productive capacity are different concepts. The graphs should consequently be read as conceptual visualisations of the economic argument, not as official productivity series.

 

 Conclusion

India’s economic history since 1947 is ultimately a story of rising productivity interrupted by periods of inefficient capital allocation, weak structural transformation and institutional constraints. The country has moved from extremely low labour and capital productivity toward a much more productive economy, with the strongest acceleration occurring when capital accumulation was combined with competition, technological diffusion, infrastructure, human capital and structural change. The central lesson for evaluating different regimes is that real GDP growth is most convincing when it is accompanied by rising productivity, investment quality, employment, real wages and consumption capacity rather than merely by a higher nominal GDP number. Changing the GDP base year is neither inherently fraudulent nor economically transformative: it is a necessary statistical exercise that can improve measurement but can also change the apparent level and growth trajectory of real GDP because prices, weights, sectoral composition, data sources and methodologies change. The political danger arises when a statistical revision is presented as if it were physical production created by policy overnight. India therefore needs a statistical culture in which every major GDP revision is accompanied by transparent back-series, methodological explanations and comparisons with independent indicators of economic activity. The strongest measure of a regime’s economic success is not how large it can make nominal GDP appear, nor whether a new base year produces a more favourable headline growth number, but whether each worker can produce more, each unit of capital can generate more output, technological capability expands, productive investment rises and the resulting increase in real output translates into sustained improvements in real incomes and living standards. In that sense, the real economic competition among India’s post-independence regimes is not a competition over the most favourable GDP statistic; it is a competition over who most effectively increased the productive capacity of the Indian economy.