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By:

Amey Chitale

28 October 2024 at 10:59:02 am

GDP Surge Masks a Complex Economic Picture

Robust GDP growth masks uneven consumption, capital-flow pressures and a widening debate over the methodology of India’s economic data. AI generated image India’s growth outlook is increasingly influenced by interconnected geopolitical and environmental risks. The recent Gulf conflict exposed the country’s dependence on imports, as disruptions in the Strait of Hormuz and Red Sea constrained global trade routes and energy supplies. While India managed to diversify energy sourcing, the shock...

GDP Surge Masks a Complex Economic Picture

Robust GDP growth masks uneven consumption, capital-flow pressures and a widening debate over the methodology of India’s economic data. AI generated image India’s growth outlook is increasingly influenced by interconnected geopolitical and environmental risks. The recent Gulf conflict exposed the country’s dependence on imports, as disruptions in the Strait of Hormuz and Red Sea constrained global trade routes and energy supplies. While India managed to diversify energy sourcing, the shock disrupted the favourable external environment that had supported economic expansion. Meanwhile, concerns over an El Niño-induced impact on agricultural production have heightened inflation risks. Despite global uncertainties, India demonstrated remarkable resilience during the April-June quarter. Real GDP grew by 7.8 percent, while nominal GDP expanded by 10.3 percent to Rs. 88.27 trillion, up from Rs. 80 trillion in the corresponding period of the previous year. This performance comfortably surpassed the RBI’s projection of 7.0 percent and highlighted the strength of domestic demand. The figures indicate that India’s underlying economic momentum remains sufficiently robust to withstand external headwinds and provide a strong start to FY27. The primary sector expanded just 2.9 percent, with agricultural growth moderating to 3.6 percent (from 4.4 percent a year earlier) and mining contracting 2.4 percent, partly due to weather-related disruptions. In contrast, the secondary sector grew a robust 8.6 percent, led by manufacturing at 9.2 percent, while services remained the strongest contributor, expanding 10.0 percent, driven by financial, real estate, IT, and professional services. Investment activity was particularly encouraging, with Gross Fixed Capital Formation rising 11.9 percent, up sharply from 5.8 percent last year, reflecting a revival in private capital expenditure supported by stronger corporate balance sheets and credit growth. Meanwhile, Private Final Consumption Expenditure grew by 7.1 percent, reflecting steady household spending. The external sector also aided expansion, with exports up 12.0 percent and imports down 1.1 percent, providing a favourable boost through net exports. Robust Expansion High-frequency economic indicators strongly validate the reported momentum. Gross GST collections rose 14.8 percent, supported by strong direct tax receipts and e-way bill growth, indicating healthy formal-sector consumption, improved tax compliance, robust logistics activity, and resilient corporate profitability. The digital economy continued its rapid expansion, with UPI transactions reaching a record 22.6 billion, up 23.5 percent year-on-year. Demand indicators were equally encouraging, with passenger vehicle sales rising 16.3 percent, commercial vehicle sales 18.3 percent, and three-wheeler sales 29.7 percent. Meanwhile, power consumption and railway freight loading grew 1.8 percent and 3.4 percent, respectively, reinforcing evidence of broad-based economic expansion. While the headline GDP performance has been stellar, peeling back the layer of the macroeconomic onion reveals some faultlines. Despite India’s appeal as a global investment destination, cross-border capital flows present a mixed picture. While gross FDI inflows exceeded USD 64.7 billion, net FDI fell sharply to USD 7.65 billion in FY26, reflecting significant repatriations, disinvestments, and capital withdrawals. Portfolio flows remained highly volatile, with net FPI outflows of USD 16.5 billion year-to-date in 2026. This persistent capital flight exerted pressure on the currency, contributing to a sharp depreciation of the Indian Rupee against the US Dollar, thereby increasing imported inflation and external debt servicing costs. K-shaped Recovery A key vulnerability in the economy is the emergence of a K-shaped recovery, where growth remains uneven across income groups. While PFCE grew by 7.1 percent, consumption has been concentrated in premium segments, with strong demand for SUVs and luxury products contrasting with weak growth in entry-level two-wheelers and mass-market FMCG goods. The slowdown in agricultural GVA growth to 3.6 percent has constrained rural incomes and purchasing power, leaving many lower-income households behind even as corporate profits, banking performance, and equity markets remain strong. While nominal GDP expanded by 10.3 percent and real GDP by 7.8 percent, the implied GDP deflator stood at just 2.5 percent, mechanically elevating real growth estimates. This appears inconsistent with the inflation experienced by consumers, as CPI inflation averaged between 3.9 percent and 5.0 percent, with food prices exerting even greater pressure on household budgets. The gap arises because the GDP deflator is influenced by broader wholesale and commodity price movements, whereas CPI captures retail inflation faced by households. Consequently, aggregate data suggests a low-inflation, high-growth environment even as many consumers continue to face elevated inflation. Though potential moderation is expected as more data emerges, current GDP figures underscore the Indian economy’s resilience, demonstrating robust growth despite persistent global uncertainties and external challenges. The data release triggered a significant statistical debate after former Finance Secretary Subhash Garg claimed that real GDP growth was 2.6 percent, rather than the officially reported 7.8 percent. The controversy arose following the GDP base year revision from 2011-12 to 2022-23. Under the old series, Q1 FY26 nominal GDP was estimated at Rs. 86.05 lakh crore, while the revised methodology placed the same quarter at Rs. 80.00 lakh crore. Garg’s estimate was based on comparing the new-series Q1 FY27 GDP (Rs. 88.27 lakh crore) with the old-series Q1 FY26 figure (Rs. 86.05 lakh crore), resulting in a misleading growth rate of 2.6 percent. Economists criticized the approach for comparing two different statistical series, and Garg’s subsequent revisions only reinforced concerns about the methodological validity of the original claim. From a macroeconomic and statistical perspective, the criticism rests on a fundamental methodological error. The old 2011-12 base series and the new 2022-23 base series are built on different datasets, coverage, weightings, and estimation methods, making direct comparisons invalid. The downward revision in the economy’s size for Q1 FY26 primarily reflected improved measurement of the informal sector through newer surveys, which revealed deeper pandemic-era disruptions than previously captured. Another important reform was the adoption of double deflation in manufacturing, a globally accepted methodology that separately adjusts input and output prices for inflation. It largely reflected the impact of higher input costs and the more accurate measurement of real value addition under the new methodology. The debate quickly became a politically charged issue. Opposition parties argued that the official estimates overstated economic performance, pointing to the disconnect between headline growth figures and persistent concerns over rural distress and subdued income growth. This episode underscores the dangers of politicizing complex statistical reforms such as GDP rebasing and double deflation. When methodological changes are interpreted through political narratives rather than objective analysis, attention shifts from empirical evaluation, weakening confidence in official data and encouraging partisan assessments of economic performance.
The rapid spread of the GDP controversy exposed a key weakness in the government’s economic communication framework. A technically flawed interpretation gained wide acceptance, reflecting the growing trust deficit around official statistics. Although the GDP estimates were based on established methodology, base-year changes and increasingly complex national accounting practices have made economic data harder for the public to understand. The problem is compounded by delayed and highly technical official responses, which fail to counter misinformation quickly. Consequently, political narratives and speculation fill information gaps, eroding trust in official statistics and weakening confidence in economic institutions. Stronger Foundations To strengthen confidence in official statistics, India must prioritize greater transparency and stronger statistical foundations. A key challenge is the continued delay of the decennial Census, originally due in 2021. As the benchmark for major surveys such as HCES, PLFS, and ASUSE, the absence of updated Census data forces reliance on outdated population estimates, increasing statistical uncertainty. Updating the Census, expanding access to anonymized datasets, and clearly communicating methodological changes would improve data quality, enable independent validation, and help rebuild public trust in economic statistics. Despite domestic debate over GDP rebasing, international institutions have broadly endorsed India’s statistical reforms. The IMF and World Bank have supported the shift to the 2022-23 base year and the adoption of PPI-based double deflation, noting that these changes align India’s National Accounts framework with global best practices and improve the accuracy of GDP measurement. Nevertheless, sustaining confidence in official statistics requires greater transparency and more effective communication of methodological changes. As India pursues deregulation and structural reforms, reliance on outdated population data could reduce policy effectiveness. While India’s emergence as a major driver of global growth remains firmly intact, maintaining the credibility, transparency, and reliability of its statistical architecture is essential for preserving public trust and sustaining investor confidence. (The writer is a Chartered Accountant with a leading Mumbai-based company. Views personal.)

The Violence Before the Crash

Writer: Sagari Gupta
Sagari Gupta
39 minutes ago
4 min read

India’s road-rage problem is a data blind spot, obscuring how traffic disputes turn violent.

On September 12, a 70-year-old man died on Lucknow’s Sitapur Road after his motorcycle scraped another vehicle near a country liquor shop in Madiyaon. Madan Bihari Tiwari and his 19-year-old grandson Sankalp were on their way to pay an electricity bill. The other rider stabbed both of them. Tiwari died at the KGMU Trauma Centre. Sankalp remains in critical condition. Police have identified a suspect and are searching for him.


Two days earlier, on Gurugram’s Golf Course Road, a car rammed a woman biker named Sia from behind. She was riding an Aprilia RS 457 with a group of friends when a white sedan began following her. Cameras mounted on the motorcycles recorded her asking the driver to keep his distance, then the car closing in and striking her bike. She fell. The car fled. Gurugram Police took suo motu cognisance of the video and registered an FIR at Sector 56 police station. The car’s registered owner denies he was driving, saying he had lent the vehicle to a friend. Whoever was behind the wheel disputes that the collision was deliberate.


Beyond Collision

Both cases get filed under one label: road rage. That label hides the real policy problem, which is not why drivers lose their temper. It is that the state has almost no way to see the sequence of events between a traffic dispute and the violence that follows it.

 

A cut in traffic, a verbal exchange, pursuit, a collision, a stabbing. Different parts of that sequence land with different institutions. Traffic police log the violation. Local police take the complaint. A hospital treats the injury. A court weighs intent. No single record connects the stages into one escalating event.

 

India recorded 4,87,707 road accidents and 1,77,175 deaths in 2024, the Ministry of Road Transport and Highways reported. Fatalities rose 2.5 percent over 2023, meaning close to 485 people died on Indian roads every day. Two-wheeler riders accounted for 46.2 percent of those deaths, the largest single category.

 

Those numbers say nothing about which crashes began as arguments. In a reply to the Lok Sabha on March 6, 2018, the Ministry of Home Affairs gave the last detailed government figures on road rage as a distinct crime category. The National Crime Records Bureau recorded 3,782 road rage cases in 2015 and 1,643 in 2016, causing 1,388 and 788 deaths respectively. The ministry noted that 2017 data had not yet been compiled. No comparable NCRB series on road rage has surfaced in public government reporting since.

 

Missing Pattern

Set that against what a different ministry counts under a similar name. In March 2022, Road Transport Minister Nitin Gadkari told the Lok Sabha that 2,15,328 cases of road rage and rash driving were logged in the government's centralised traffic database for 2021 alone, up from 1.55 lakh in 2019. That figure runs nearly 130 times higher than the last NCRB road rage count, because it measures a different thing through a different database, one built for challans, not crime records.


The law already covers most of this ground. The Bharatiya Nyaya Sanhita’s Section 281 penalises rash or negligent driving, with a fine that tops out at Rs 1,000. Section 106 covers causing death by a negligent act, with a longer sentence if the driver flees the scene without reporting it. Section 109 covers attempt to murder, but only where prosecutors show intention or knowledge, not merely a bad outcome.


That distinction is why the Gurugram case turns on the footage. Whether the driver steered into Sia on purpose or lost control while trying to overtake changes which section applies and what sentence follows. Video from bike-mounted cameras settles that kind of question in a way competing statements do not.

 

India has already built some of the machinery this problem needs. The Inter-Operable Criminal Justice System links the police database CCTNS with courts, prisons, forensic labs and prosecutors, and it draws on the Vahan and Sarathi vehicle and licensing databases, according to the Ministry of Home Affairs. What it does not yet do is treat a chase or a threat on the road as one recorded event rather than a string of disconnected entries.

 

Four changes would close that gap. Traffic and local police should log the behaviour before the collision, not only the collision, recording pursuit, threats or blocking as their own fields. Cities should map junctions where disputes escalate more than once, since a badly designed merge does not excuse assault, but it does explain repetition. CCTV near collision sites should be preserved as routine practice, the way it was in Gurugram, rather than as an exception. And a driver’s pattern of aggressive complaints should count in enforcement the same way a pattern of speeding tickets already does.

 

None of this needs a new offence called road rage. The offences already exist. What is missing is the record that lets police tell a single bad-tempered swerve apart from a driver who does this often.

 

One more fact deserves stating plainly. Sia was riding alone within a group, followed by men in a car, on a road she uses often. That is a different kind of risk from simply sharing a lane with a stranger. Road safety data sorts people by vehicle type. It rarely sorts them by whether they were being followed.

 

Tiwari and his grandson were on their way to pay a bill when a stranger’s knife ended one life and nearly ended a second. Sia is alive because a friend’s camera caught what happened before the car reached her. India still cannot say, in any consistent way, how many of them began as an argument several minutes earlier, or whether anyone had a chance to step in before the first blow landed.


(The writer is an independent public policy researcher. Views personal.)

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