GSDP by Expenditure Method: Draft Guidelines and 2022-23 Base Year

Overview

India’s adoption of the expenditure method for compiling Gross State Domestic Product shifts regional economic measurement from factory-floor output to territorial final demand, fundamentally recalibrating how policymakers evaluate state fiscal health, borrowing entitlements, and revenue capacity. By capturing consumption, investment, and interstate trade flows rather than relying solely on production figures, the new statistical framework exposes the real purchasing power within consumer-driven states. This reform addresses a long-standing structural blind spot in sub-national accounting, where open borders previously obscured interstate trade volumes that exceed half of national output. Ultimately, establishing expenditure-side accounts provides an essential analytical cross-check for fiscal federalism, influencing Net Borrowing Ceilings under Article 293(3) and reshaping formulaic assessments for intergovernmental tax devolution.

The Ministry of Statistics and Programme Implementation published draft guidelines on 9 October 2026 to introduce the expenditure approach for Gross State Domestic Product calculations using the revised 2022–23 base year. As of October 2026, no Indian State or Union Territory regularly measures Private Final Consumption Expenditure for official income releases.

This methodology does not discard existing accounts. The draft guidelines clarify that the expenditure approach is designed to complement—not replace—the production approach, providing an independent statistical cross-check whose gap is published as Statistical Discrepancy. The reform builds directly upon the New Series of National Accounts Statistics rebased to 2022–23, which replaced the 2011–12 series as India's eighth base revision on 27 February 2026.

Sub-national economic accounting in India has historically relied almost exclusively on the production approach, tracking Gross State Value Added across geographic sectors. Because state borders lack physical customs checkpoints, compiling cross-border trade matrices remained an intractable accounting challenge for regional statisticians.

Maharashtra was historically the only Indian state to compile sub-national Private Final Consumption Expenditure, generating experimental series between 2004–05 and 2008–09 by apportioning national consumption using National Sample Survey Consumer Expenditure Survey ratios. This reliance on production metrics created significant diagnostic distortions:

• Territorial factory bias: Under the production approach, value addition is recorded at the physical location of manufacturing units, systematically elevating the recorded output of industrial hubs.
• Exclusion of remittance inflows: Domestic and foreign household transfers fuel local purchasing power, but production accounting omits this demand when goods originate elsewhere.
• Invisible interstate commerce: The Economic Survey demonstrated that India's inter-state trade in goods and services accounts for roughly 60% of GDP, proving that interstate trade is a dominant macroeconomic driver rather than a minor statistical residual.

Production-only indicators show where capital produces goods, but fail to demonstrate where households spend their income.

Gross State Domestic Product under the expenditure approach measures total spending on final goods and services produced within a state's borders. Under the framework defined by the Ministry of Statistics and Programme Implementation, expenditure GSDP aggregates distinct demand components:

• Private Final Consumption Expenditure (PFCE): Household final spending on durable, semi-durable, and non-durable goods alongside consumer services.
• Government Final Consumption Expenditure (GFCE): Current operational outlays by state government departments and local governance tiers on compensation and goods purchases.
• Gross Fixed Capital Formation (GFCF): Net domestic additions to fixed assets, encompassing infrastructure installations, commercial buildings, machinery, and intellectual property.
• Change in Inventories (CIS) and Valuables: Physical net adjustments in stock inventories and net acquisitions of precious stores of value.
• Net Exports (X - M): The combined external trade balance and inter-state trade balance, tracking merchandise and service outflows against external inflows.

Statistical discrepancy captures the variance between the two computational methods, maintaining balance across state balance sheets.

The Goods and Services Tax Network provides the statistical architecture required to quantify domestic commerce across state borders. Under MoSPI's sub-national framework, transactions recorded on the unified digital tax portal allow statisticians to reconstruct interstate commercial balances without physical border customs.

Tracking these flows relies on specific transaction records across three main channels:

1. Harmonized System of Nomenclature analytics: Mandatory HSN codes on electronic way bills capture consignment origin, transit path, and destination, recording business-to-business product movements across state boundaries.
2. Integrated Goods and Services Tax settlement trails: Tax reconciliation accounts show inter-state trade flows, documenting transactions between registered suppliers and end-state distribution hubs.
3. External trade accounting gaps: The Directorate General of Commercial Intelligence and Statistics publishes state-wise merchandise export data, but it lacks matching state-wise merchandise import allocations, creating an official statistical gap in tracking net foreign trade by State.

Resolving this external import deficit requires combining digital trade registries with freight data, ensuring that net trade figures reflect real resource movements.

Divergence between production figures and expenditure accounts illuminates the split between production-heavy and consumption-driven state economies. Production accounting attributes value added to factory sites, providing an incomplete picture of where consumer demand is concentrated across the nation.

Industrialized states such as Gujarat, Maharashtra, and Tamil Nadu concentrate significant shares of national output due to established industrial corridors and ports. When evaluated through value-added metrics, these states appear as dominant regional economies. However, their local consumer markets absorb only a portion of their total production, while the remainder is exported to other states.

Conversely, consumption-driven economies like Bihar and Kerala show substantial household purchasing power financed by external remittances and transfers that is excluded from territorial GSVA. In these states, consumer spending routinely outpaces local production output.

Evaluating these regions on production value added alone understates the depth of their consumer markets. Expenditure metrics register this demand directly, measuring how household consumption and inter-state trade distribute economic activity across states.

The shift toward expenditure accounts carries direct consequences for statutory borrowing caps and constitutional intergovernmental transfers. State annual borrowing limits under Article 293(3) of the Constitution and State Fiscal Responsibility and Budget Management Acts are capped as a percentage of projected nominal GSDP, set at a baseline of 3% of GSDP for 2026–31.

Methodological divergence between production GSDP and expenditure GSDP directly alters the nominal denominator used to enforce State Net Borrowing Ceilings and debt-to-GSDP prudential targets. A state whose nominal denominator expands under expenditure metrics gains borrowing headroom under fiscal responsibility ceilings, whereas states seeing lower nominal totals face tighter borrowing constraints.

The 16th Finance Commission established key structural criteria for intergovernmental fiscal allocations across the 2026–31 award period:

• Income Distance criterion: The 16th Finance Commission assigned a 42.5% weight to Income Distance—calculated as the gap between a state's per capita GSDP and the average of the top three large states—in its horizontal tax devolution formula.
• Contribution to GDP: The Commission introduced a 10% weight for Contribution to GDP in the horizontal tax devolution matrix while maintaining vertical tax devolution to states at 41%.
• Discontinuation of revenue deficit grants: The 16th Finance Commission discontinued post-devolution Revenue Deficit Grants provided under Article 275, eliminating the mechanism previously used to bridge normative budget deficits.

Because the 16th Finance Commission assigned 42.5% of its horizontal formula to Income Distance and 10% to GDP contribution, any statistical revision to per-capita state output alters federal tax distribution across the country.

State Directorates of Economics and Statistics compile regional accounts independently under technical guidance from MoSPI's National Accounts Division. This decentralized structure causes noticeable variations in reporting speed, survey quality, and accounting standards.

To address these variations, MoSPI organized a three-day All-India Workshop on State Income and Related Aggregates with base year 2022–23 in Visakhapatnam from 8 to 10 April 2026 to train State DES officials on methodological synchronization.

Sub-national statistical agencies face operational constraints across three main areas:

• Municipal and panchayat accounts: State DES units face persistent capacity deficits in tracking local government spending, as Panchayati Raj Institutions and Urban Local Bodies frequently lack standardized, timely audited accounts needed to compile sub-national GFCE.
• Informal sector consumption: Household consumption surveys occur periodically, making it difficult to capture unorganised retail transactions between official survey rounds.
• Service trade accounting: Digital platforms facilitate cross-border service trade, such as software and consultancies, which lacks physical waybills and complicates state-level accounting.

Without uniform technical capabilities across state directorates, state-level expenditure figures will struggle to provide the reliability required for fiscal governance.

Building reliable expenditure accounts requires integrating administrative data pipelines with sub-national statistical systems. Aligning GST Network records, commercial registry filings, and electronic financial records provides an empirical foundation for measuring state-level demand.

• Institutional data integration: Establish automated data-sharing protocols connecting the GST Network, the Central Board of Indirect Taxes and Customs, and state statistical directorates to track regional trade balances.
• Standardising local government balance sheets: Enforce uniform digital accounting platforms across Panchayati Raj Institutions and Urban Local Bodies to capture local public expenditure.
• Tracking external state imports: The Directorate General of Commercial Intelligence and Statistics must address its statistical gap by compiling state-level merchandise import data alongside existing export tracking.
• Protecting fiscal neutrality: Establish regulatory safeguards to prevent statistical revisions in GSDP denominators from causing abrupt shifts in state borrowing ceilings under Article 293(3).

A coordinated statistical architecture will provide policymakers with an accurate assessment of regional demand, balancing factory output measures with real sub-national consumption.

• MoSPI released draft guidelines on 9 October 2026 to compile Gross State Domestic Product using the expenditure approach based on the 2022–23 series.
• Expenditure accounts aggregate household consumption, public expenditure, gross capital formation, and net interstate trade balances, providing a necessary counterweight to production metrics.
• Transaction analytics from the GST Network and HSN-coded e-way bills resolve historical challenges in recording interstate merchandise commerce.
• Methodological shifts alter nominal GSDP figures, impacting state Net Borrowing Ceilings governed by Article 293(3) and the Fiscal Responsibility and Budget Management Act.
• The 16th Finance Commission linked horizontal devolution directly to state economic metrics, allotting a 42.5% weight to Income Distance and 10% to GDP contribution.
• DGCIS records state exports but lacks state-wise import data, representing a structural gap in sub-national external trade accounting.