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August 12, 2026
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Fair trading practices and circular production are promoted to strengthen Make in India and expand global market participation.
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August 12, 2026
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August 12, 2026
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Judicial allowance exemptions under the new tax regime remain disputed, with return processing and resulting demands kept in abeyance.
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August 12, 2026
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Corporate closure data highlights worker-claim treatment through insolvency adjudication and liquidation priority, while affected-worker information remains unmaintained.
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August 12, 2026
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Compressed biogas development converts organic waste into cleaner fuel, rural income and reduced dependence on imported fossil fuels.
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August 12, 2026
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Bilateral trade cooperation advances through investment focal points, services and health working groups, and planned preferential trade agreement negotiations.
India-Namibia economic cooperation is being progressed through agreed follow-up mechanisms focused on value addition, investment facilitation and sectoral collaboration. Investment focal points have been designated, and a Services Working Group is to prepare a work plan for the Joint Trade Committee. Priority areas include health and pharmaceuticals, critical-mineral processing, gems and jewellery, digital payments, FinTech, railways, renewable energy and green hydrogen. Terms of Reference for the India-SACU preferential trade agreement were finalised, with negotiations to begin after signature and conclude within one year.
August 12, 2026
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AI governance in banking requires explainability, board accountability, rigorous testing, vendor controls and meaningful human oversight for customer-facing decisions.
AI adoption in banking should be governed through a principles-based and proportionate framework that aligns innovation with financial stability, customer protection and accountability. Banks should maintain inventories of AI systems, adopt board-approved governance policies, ensure explainability for material lending and fraud decisions, conduct periodic red-teaming and stress testing, and preserve meaningful human oversight. Key risks include opacity, bias, vendor concentration, third-party dependence, data misuse, cyber vulnerability and loss of institutional accountability. Vendor arrangements require audit and explanation rights and credible exit plans.
August 11, 2026
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Land acquisition funding and regulatory approvals advance satellite-city development, tax relief, identity enrolment, employment verification, and jail reform.
Assam Cabinet approvals include first-phase funding for land acquisition and development of the Aerotropolis Satellite City Project and a lease deed for a hotel supporting the Jagiroad semiconductor ecosystem. Measures also provide Aadhaar enrolment relaxation for Moran and Matak communities, zero agricultural tax up to the prescribed net-income threshold, OBC Non-Creamy Layer certificates, and trainee and graduate-assistance funding. Government jobs will be provisionally held pending police verification, with automatic confirmation where no report is submitted within six months. Jail rules will be amended to promote non-discrimination, sanitation, security and fair work allocation.
August 11, 2026
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Money-laundering investigation into alleged liquor-sale proceeds led to arrest and custodial questioning amid contested political allegations.
Money-laundering investigation concerning an alleged liquor scam led to the Enforcement Directorate's arrest of Ramgopal Agrawal and seven days' custodial remand under the Prevention of Money Laundering Act. The agency alleged his connection with proceeds of crime, non-attendance despite multiple summonses, and evasiveness during questioning. Allegations concern purported control of the state excise department, illegal liquor sales, and sharing of commissions. The Congress has denied the allegations and described the investigation as politically motivated.
August 11, 2026
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GST inquiry closure bribery allegations prompted anti-corruption proceedings against a Sales Tax officer under corruption law.
Alleged bribery in GST inquiry closure led to the arrest of a Sales Tax Assistant Commissioner after a scrap trader complained of a demand for illegal gratification to close an inquiry initiated through a GST show-cause notice. Anti-corruption officials reportedly verified the allegation through intermediaries, during which the officer allegedly agreed to accept payment for closing the matter. A criminal case was registered under the Prevention of Corruption Act, with further investigation ongoing.
August 11, 2026
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Direct tax collection growth reflected stronger non-corporate taxes and securities transaction tax receipts alongside slower refund issuances.
Net direct tax collections increased by 23 per cent to over Rs 8.11 lakh crore through August 10, driven by higher non-corporate tax collections and slower refund growth. Gross direct tax collections grew by 19.75 per cent to about Rs 9.55 lakh crore. Net corporate tax collections rose about 20 per cent, net non-corporate tax collections rose 23 per cent, and Securities Transaction Tax collections increased 51 per cent. Refund issuances grew by 3.8 per cent year-on-year.
August 11, 2026
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Vicarious liability in cheque dishonour cases cannot attach to trust associates without statutory status or transaction-specific involvement.
Vicarious criminal liability for cheque dishonour under section 141 of the Negotiable Instruments Act does not extend to a trust, because a trust is not a juristic person. A person cannot be summoned merely for alleged active involvement in a trust where the person was neither drawer nor signatory of the cheques, trustee, office-bearer, authorised account operator, guarantor, or executor of transaction documents.
August 11, 2026
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Cross-border payment integration through CBDCs and fast payment systems remains under BRICS discussion to reduce transfer costs.
Cross-border payment integration is under discussion through potential linkages between central bank digital currencies and fast payment systems, including UPI-type platforms. These approaches seek faster and less costly trade and remittance transfers, particularly retail payments, but remain at a discussion stage. Rupee internationalisation is also being pursued through central-bank memorandums of understanding for bilateral trade settlement in local currencies, with existing arrangements covering Indonesia, Maldives, Mauritius and the UAE.
August 11, 2026
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August 11, 2026
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MSME procurement through GeM has expanded alongside analytics-driven controls against suspicious bidding, collusion, and vendor misconduct.
GeM uses AI/ML analytics to detect order splitting, suspicious bidding, abnormal pricing, repeated participation and potential buyer-seller collusion. Flagged cases are placed before buyer organisations for review and action, while suspected cartels are assessed through digital-footprint, pricing and bid-timing indicators. Its Incident Management framework addresses false documents, fraud, collusive behaviour and other misconduct through administrative measures, including suspension. Anti-competitive conduct and cartel formation are Severe/Grave deviations, with proven cases attracting suspension for up to 365 days.
August 11, 2026
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Direct tax collections show stronger corporate, non-corporate and securities transaction tax receipts, alongside increased refunds during the fiscal period.
Net direct tax collections grew by 23.09 per cent to over Rs 8.11 lakh crore up to August 10 of the current fiscal year, while gross direct tax collections increased by 19.75 per cent to about Rs 9.55 lakh crore. Corporate tax, non-corporate tax including personal income tax, and Securities Transaction Tax receipts recorded growth. Refunds issued between April 1 and August 10 also rose over the corresponding earlier period. Direct tax collections are budgeted at Rs 26.97 lakh crore for the fiscal year.
August 11, 2026
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Mobile food testing laboratory accreditation expands quality-assured testing access and supports coordinated food-safety surveillance and regulatory efficiency.
NABL has launched an Accreditation Scheme for Mobile Food Testing Laboratories under the Integrated Assessment Programme. The framework enables mobile laboratories to provide reliable, quality-assured and internationally benchmarked food-testing services closer to communities, extending accredited testing beyond conventional laboratory settings. It is intended to strengthen food-safety surveillance, improve access to quality testing, support faster regulatory intervention and enhance consumer confidence. Coordinated assessments, regulatory harmonisation and mutual recognition are also intended to reduce duplication and improve regulatory efficiency while maintaining quality and compliance standards.
August 11, 2026
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Digital public procurement will expand AI-led price intelligence, marketplace integrity, inclusive access, credit linkages and sustainable purchasing.
Government e-Marketplace is advancing an AI-enabled public procurement ecosystem focused on efficiency, transparency, competition, price intelligence and marketplace integrity. Priorities include last-mile access through Suvidha Kendras, integration of public entities, credit linkages, sustainable procurement and university outreach. A nationwide five-digit Helpdesk short code, 14550, mapped to existing infrastructure, is intended to maintain service continuity and improve access to support and official communications. The platform seeks to provide enterprises with a more accessible and predictable procurement market and buyers with a data-driven procurement experience.
August 11, 2026
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Expedited flood insurance claims require insurers and partners to simplify documentation and provide immediate service to affected policyholders.
Expedited insurance-claim handling for flood-affected policyholders in Assam is being pursued through simplified documentation, prompt settlement and immediate service response. PolicyBazaar is coordinating with insurer partners to reduce processing delays. The Insurance Regulatory and Development Authority of India has directed insurers, including life insurers and standalone health insurers, to mobilise resources for immediate assistance, alongside governmental efforts for expeditious and hassle-free claim disposal.
August 11, 2026
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Money laundering investigation in alleged liquor scam leads to arrest and proposed custodial-remand proceedings under anti-money-laundering law.
Money laundering investigation concerning an alleged liquor scam in Chhattisgarh led to the arrest of Congress leader Ramgopal Agrawal under the Prevention of Money Laundering Act. Custodial remand is to be sought for interrogation. The allegations concern an alleged syndicate that purportedly controlled the state excise department, enabled illegal liquor sales and distributed resulting commissions. Chargesheets name political figures, excise officials and officials associated with the Chief Minister's Office.

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News and Press Release

Additional Information related to GDP Estimates Received After Release of Q1 Estimates of FY 2026-27

September 2, 2026

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The Ministry has released the Updated Series of Annual and Quarterly GDP estimates with base year 2022-23 on 31st August 2026. These GDP Estimates were updated using New Series of Output Producer Price Index (PPI); Banking Services Price Index (BkSPI) with the base year 2022-23 and updated data from various administrative sources. 

The additional information being released now is mainly related to the adoption of double deflation methodology and consequent negative implicit deflators, its comparison with other deflation indices such as CPI and WPI, gap between nominal and real GVA/GDP, discrepancy between GDP estimates from production/income and expenditure side, comparison of new and old series growth rates, etc. To bring more clarity, the Ministry has brought out these additional questions and answers for the use of various stakeholders as per the Annexure.

*****

Annexure

Questions and Answers related to GDP estimates

  1. How can the manufacturing sector record a negative inflation in GVA implicit deflator of “-1.5%” in Q1, 2026-27 despite increase in both manufacturing output and input prices while the agricultural sector recorded a positive inflation rate of 3.9%?

Response:

A negative inflation in implicit deflator in manufacturing does not mean that manufacturing prices have fallen. It is important to distinguish between the price deflators of output and inputs and the implicit Gross Value Added (GVA) deflator.

Under the double-deflation approach, output and intermediate consumption of the manufacturing sector are deflated separately and real GVA is obtained as real output minus real intermediate consumption. Therefore, when input prices increase faster than output prices, the relative price movement can result in nominal GVA growing more slowly than real GVA. Consequently, the implicit GVA deflator, which is derived by comparing nominal GVA with real GVA, can show negative inflation even though both output and input prices are rising.

Importantly, a negative GVA deflator does not mechanically imply lower real growth. Real GVA growth depends on the relative movements in real output and real intermediate consumption.

An illustration to understand the above scenario is given below:

 

Year 1

Year 2

Growth Rate

Gross Value of Output

1,000 Cr

1,200 Cr

20.0%

Intermediate Consumption

800 Cr

976 Cr

22.0%

Nominal Gross Value Added (Current)

200 Cr

224 Cr

12.0%

(PPI Output Index)

100

110

10.0%

(PPI Input Index)

100

114

14.0%

Deflated Output (Constant)

1,000 Cr

1,091 Cr

9.1%

Deflated Inputs (Constant)

800 Cr

856 Cr

7.0%

Real Value Added (Constant)

200 Cr

235 Cr

17.5%

Current Price Growth Rate (%)

12.0%

Constant Price Growth Rate (%)

17.5%

As per illustration, nominal GVA grows by 12%, while real GVA grows by 17.5%, resulting in a negative implicit GVA deflator. This does not imply that the prices of manufactured products have fallen; rather, it reflects the relative movement of output and input prices under double deflation.

In Q1, 2026-27 manufacturing GVA is compiled using the double-deflation approach, under which output and intermediate consumption are separately deflated. During this period input prices increased faster relative to output prices. As a result, nominal GVA growth for this sector was relatively lower at 7.7%, while real GVA growth was 9.2%. The resulting difference between nominal and real GVA growth produced a negative implicit GVA deflator of 1.5%. For example, some of the activities where the growth of input prices was found more than that of output prices are manufacturing of textile and cotton ginning, manufacturing of basic metals, manufacturing of rubber and plastic products, etc. To add further, research papers by the OECD highlight that countries using double deflation frequently experience volatile or negative implicit deflators in manufacturing during global energy and raw material shocks. Advanced economies that depend heavily on imported raw materials regularly experience negative manufacturing deflators when international supply chains fluctuate.

Thus, this does not imply that manufacturing output prices declined. Rather, it reflects the relative movement of output and input prices in the double-deflation framework.

In contrast, at Quarterly level, Agriculture GVA is compiled at constant price first using the production estimates. Current Price estimates of Agriculture GVA is then derived by inflating the Constant Price estimates using the relevant Producer Price Index.

During Q1, 2026-27, the output Producer Price Index for Agriculture, Forestry and Fishing group rose by approximately 5%. Since the output prices rose and agricultural nominal GVA is heavily driven by these output prices, its implied inflation remained positive at 3.9%.

2. Last year’s Current GDP has been revised down from Rs. 86 lakh crore to Rs. 80 lakh crore, to make current year’s GDP look better. If last year’s number had not been revised, the growth would have been 2.6% in Current prices.

Response:

The comparison of the Q1 GDP estimates needs to be understood in the context of the revisions made to the GDP series. The change in the estimate of Q1 2025-26 does not represent a downward revision made to make the current year’s growth appear higher. It reflects successive methodological and data revisions to the GDP series.

The Quarterly GDP estimates are compiled using the benchmark-indicator approach, under which the movement in the quarterly estimates is guided by the movement in relevant high-frequency indicators. A revision in the previous-year benchmark does not, by itself, create an artificial increase in the current year’s underlying economic activity or the indicators used for estimation. In the quarterly series more than hundreds of volume or value indicators are used. To mention a few, some of the volume indicators used are, viz., growth in crop production, growth in cement production index, growth in finished steel consumption, growth in sales in commercial vehicles, etc. 

First, the Q1 2025-26 GDP estimate was initially released on 29.08.2025 under the then prevailing 2011-12 base-year series. Under that series, GDP at current prices for Q1 2025-26 was estimated at ₹86.05 lakh crore.

Second, in February 2026, the Ministry introduced the new GDP series with 2022-23 as the base year. As part of a base-year revision, the GDP estimates for the entire time series are comprehensively revised to incorporate updated data sources, improved methodologies, revised coverage and other relevant information. Accordingly, the estimate of Q1 2025-26 GDP at current prices under the new series was ₹80.32 lakh crore.

Third, at the time of release of the Provisional Estimates of GDP for 2025-26 on 05.06.2026, the Q1 2025-26 estimate was further updated to ₹80.44 lakh crore, reflecting the availability and updation of indicators and data.

Fourth, subsequently, the new series of IIP and PPI became available and were incorporated into the GDP compilation. Their incorporation necessitated updating the relevant GDP estimates from 2022-23 onwards. As a result, the Q1 2025-26 GDP at current prices was revised to ₹80.00 lakh crore.

Thus, the movement from ₹86.05 lakh crore to ₹80.00 lakh crore is the result of successive revisions to the GDP series arising from the change in base year, incorporation of improved data sources and methodologies, and updation of available indicators. It is therefore incorrect to interpret the difference as a deliberate downward revision of last year’s GDP to mechanically increase the current year’s growth rate.

Most importantly, the ₹86.05 lakh crore estimate from the old 2011-12 series cannot be directly compared with the current Q1 2026-27 estimate under the revised 2022-23 series. Rather, the growth rates are calculated using estimates from the same and latest comparable GDP series i.e., with base 2022-23. Thus, the relevant comparison for Q1 2026-27 of Rs 88.27 lakh crore would have been with the earlier Q1 2025-26 estimate of ₹80.32 lakh crore, and not with the old ₹86.05 lakh crore estimate from the superseded series.

3.  How do we reconcile a 2.5% implied GDP inflation rate when consumer inflation (CPI) was 3.9% and wholesale inflation (WPI) was over 9%?

Response:

This price divergence is reconciled by understanding that the GDP deflator is an implied price of net value added, not a direct measure of transaction prices. There is no inconsistency because the GDP deflator, CPI and WPI measure different aspects of the economy and have different coverage and weights.

The baskets of goods used to measure these economic indicators vary according to their purposes:

CPI (Consumer Price Index): Reflects price changes of only a specific basket of household consumption of goods and services at the final consumer’s end.

WPI (Wholesale Price Index): Reflects price changes of bulk commodities, raw materials, and manufactured goods excluding services at the wholesaler’s level.

Implicit GDP Deflator: It is the ratio of GDP at current prices and GDP at constant prices and it covers the entire economy, including government spending, corporate investments, exports, and financial and non-financial services (like banking, IT, and real estate). Since raw material prices were very high and certain service sector inflation is very low, it diluted the high inflation seen in the consumer or wholesale commodity sectors.

Therefore, the implicit GDP deflator need not move in line with either CPI or WPI. Differences in coverage, weights, price concepts and the relative performance of different sectors of the economy can result in the GDP deflator being significantly different from consumer or wholesale inflation.

It needs to be noted that the deflation of individual item/group of items is done using the relevant price indices for that item/item-group. The implicit GDP deflator is only a derived number reflecting the price impact of more than  300 individual price deflators used at the item/item-group level.

4. How does the mechanism of double deflation apply to Private Final Consumption Expenditure (PFCE), and does it enter PFCE calculations directly?

Response:

The mechanism of double deflation does not directly enter the calculation of PFCE.

Double deflation is a production-side technique used to estimate the Gross Value Added (GVA) of an industry at constant prices by deflating gross output and intermediate consumption separately. Because PFCE is a measure of final demand (expenditure on goods and services for final use), it has no intermediate consumption to subtract.

At the quarterly level, PFCE is estimated at a detailed item/item-group level. For various goods such as food and manufactured products, constant-price estimates are compiled first using appropriate volume indicators, and current-price estimates are subsequently derived using relevant Consumer Price Indices.

For several services items under PFCE, such as education, health, restaurants and accommodation services, current-price estimates are compiled using relevant output indicators and the corresponding constant-price estimates are derived using appropriate price indices.

Thus, double deflation is relevant to the estimation of production-side GVA and is not a method used directly for estimating PFCE.

5.  Why there is massive gap between Nominal GVA and Real GVA estimates of Mining sector.

Response:

In the Quarterly GDP compilation, the constant price estimates of the Mining & Quarrying sector are compiled using the relevant Index of Industrial Production (IIP) as the volume indicator. During Q1 (April–June) 2026-27, the IIP growth for Mining & Quarrying was -3.8% in April, -1.4% in May and 1.6% in June.

Growth Rate in IIP

Description

Apr-26

May-26

Jun-26

Mining & Quarrying

-3.8

-1.4

1.6

(a) Fuel Minerals

-5.6

-6.1

-1.8

(b) Metallic Minerals incl. Rare Earth Mineral

12.4

18.3

39.4

(c) Non-Metallic Minerals incl. Minor Mineral

-10.3

-6.1

-11.7

This is broadly consistent with the -2.4% growth in real GVA of the Mining & Quarrying sector during Q1 2026-27.

The nominal estimates are derived by applying the relevant Producer Price Indices (PPI) to the corresponding real estimates for different mineral groups. The PPI data for Q1 2026-27 indicate significant price increases in the Mining & Quarrying sector. In particular, prices of Crude Petroleum and Natural Gas increased by 69.5% in April, 72.2% in May and 33.7% in June, while Mining of Metal Ores recorded inflation of 27.6%, 25.2% and 23.5%, respectively.

Inflation based on PPI

Commodity Name

Apr-26

May-26

Jun-26

Mining and Quarrying

22.0

21.2

15.5

(A) Mining of Metal Ores

27.6

25.2

23.5

(B) Mining of Coal and Lignite

-1.6

-2.3

-1.6

(C) Other Mining and Quarrying

6.9

6.5

8.7

(D) Extraction of Crude Petroleum and Natural Gas

69.5

72.2

33.7

Thus, the substantial difference between real and nominal GVA growth is primarily a result of the strong increase in mineral prices, particularly crude petroleum and natural gas and metal ores, rather than an inconsistency between the real and nominal estimates. The nominal GVA growth of the Mining & Quarrying sector accordingly stood at 22.3% in Q1 2026-27.

6.  As the discrepancies are high in both current and constant price GDP estimates during Q1, 2026-27, does it mean the GDP estimates will be revised significantly in the next revision round when discrepancies get adjusted.

Response:

The discrepancy is a statistical balancing item arising from the difference between the GDP estimates compiled through the production and expenditure approaches. Its movement should therefore not be interpreted, by itself, as evidence that the reported GDP is understated or overstated.

The Q1 2026-27 estimates are based on the information available at the current stage and are subject to revision as more comprehensive and updated source data become available. As additional information is incorporated, estimates under the different approaches may change and, consequently, the statistical discrepancy may also change.

Therefore, while the current discrepancy may change in subsequent revision rounds, it cannot be concluded in advance that GDP will necessarily be revised upward, or by a specific magnitude. The direction and magnitude of any revision will depend on the revisions to the underlying production and expenditure-side estimates, rather than on a mechanical adjustment of the discrepancy alone.

At the time of release of final estimates at current prices, the discrepancies will be very insignificant or zero as was found in case of FY2022-23 and FY 2023-24.

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