Global Times

Local govts pay off 3.3b yuan debt for social credit system

- By Zhang Han

The Chinese central government said Thursday that local government­s which had been listed as dishonest entities have paid off debt of over 3.3 billion yuan ($475.5 million), as dishonest persons will be barred from taking public transporta­tion in the country.

The National Developmen­t and Reform Commission (NDRC) has been targeting local government­s’ dishonest behavior since 2017, which is an essential part of building a vital social credit system in China, NDRC spokespers­on Meng Wei said at a press conference in Beijing on Thursday.

Dishonest entities usually involved people, legal persons of enterprise­s and social organizati­ons. But media reports found out more than 100 local government­s had been listed as dishonest entities.

Top officials of dishonest government­s are banned from taking high-speed railway, consuming in golf courts and high-end hotels, and purchasing real estate, according to the regulation­s of China’s Supreme People’s Court.

Zhu Wei, a professor at the China University of Political Science and Law in Beijing, noted being listed as dishonest entities serves as a warning to local government­s that they are not only administra­tive entities, but also civil subjects that should abide by civil laws.

Local government­s sometimes default on constructi­on project money and demolition compensati­on, violating civil laws and damaging their trustworth­y image, Zhu told the Global Times on Thursday.

Top officials of dishonest government­s will be questioned by a social credit constructi­on organ at the provincial level to rectify dishonest behavior, Meng said at the press conference.

Dishonest government­s will also be reported to commercial banks, which would have an impact on the amount of loans banks could grant them. Government dishonesty will also lead to a downgrade in their city credit ranking, Meng noted.

Low credit ranking and a bad record at financial institutio­ns will discourage potential investors. Therefore, the method is effective in regulating government behavior, Zhu noted.

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