3 days ago

New GDP Series Cuts Estimates by Rs 42 Lakh Crore

New GDP Series Cuts Estimates by Rs 42 Lakh Crore
Down gradation Resulted In Rs 42 Lakh Crore Cut In Nominal GDP Between FY23-26 · deccanchronicle.com

India changed the way it measures the size of its economy.

A research report says the new method makes earlier nominal GDP numbers smaller by Rs 42 lakh crore between FY23 and FY26.

It says the reduction also appeared in the first quarter of FY27.

The changes affected spending by households, the government and businesses.

The report believes better information about small, informal businesses helped reveal that earlier estimates were too high.

These businesses had not been regularly measured for several years.

Because some older information is missing, it may be difficult to create a perfectly comparable GDP history.

The report says future revisions could make the reductions even larger.

Key facts

GDP reduction
Rs 42 lakh crore across FY23–FY26, according to Systematix Group.
Annual average
About Rs 10 lakh crore of reduction per year during FY23–FY26.
Q1FY27 reduction
Rs 6 lakh crore in the first quarter of FY27.
Potential FY16–FY26 revision
The report estimates the cumulative reduction could approach Rs 100 lakh crore after historical data are recast.
Affected components
Household consumption, government spending and fixed capital formation.
Informal-sector data
The revised series uses the Annual Survey of Unincorporated Sector Enterprises and other surveys.
Long-term nominal growth
The report says average nominal GDP growth has slowed to 9%, compared with a recent peak of 16% in FY12.

Quotes

Systematix Group

Research and financial analysis group cited in the article

“The NSO has not explicitly explained the drivers behind the large, consistent downgrades in the new series, nor has it published a fully comparable historical series.”
deccanchronicle.com
“Indeed, there is a high possibility that even GDP numbers FY12 onwards may also undergo significant cuts.”
deccanchronicle.com

Sources

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