Advertisement
China economy
China

Fitch warns of ratings cut for local governments in China if data revisions prove major

Agency says recent falsification by provincial officials might highlight shortcomings in auditing process

Reading Time:2 minutes
Why you can trust SCMP
Inner Mongolia, in China’s north, said earlier this month its fiscal revenue for 2016 should be 26 per cent lower. Photo: Simon Song
Reuters

Fitch Ratings on Tuesday warned it would take ratings action against Chinese local governments if revisions to their fiscal data were significant, after recent reports on fake economic data deepened concerns about governance and oversight.

Local and regional governments in China have long been suspected of cooking up numbers. Blame is often put on ambitious local officials trying to brighten their career prospects by delivering stellar work reports.

The agency’s comments come after Inner Mongolia earlier this month said its fiscal revenue for 2016 ought to be 26 per cent – or 53 billion yuan (US$8.3 billion) – less than initially stated.

Advertisement

Fitch reacted by downgrading its internal assessment of the creditworthiness of the northern Chinese region. It also cut the ratings on the senior unsecured bonds due 2020 issued by Inner Mongolia High-Grade Highway Construction and Development Company to BBB- from BBB, with a negative outlook.

Advertisement
Local and regional governments globally do not have internationally accepted accounting policies. In China, Fitch relies on official fiscal data from provincial and local administrations, which are then approved by the local legislatures.
Fitch has downgraded its internal assessment of the creditworthiness of Inner Mongolia. (Pictured) Work on a metro station is suspended in Baotou last November. Photo: Simon Song
Fitch has downgraded its internal assessment of the creditworthiness of Inner Mongolia. (Pictured) Work on a metro station is suspended in Baotou last November. Photo: Simon Song
Advertisement
Select Voice
Choose your listening speed
Get through articles 2x faster
1.25x
250 WPM
Slow
Average
Fast
1.25x