10

2022-01

Analysis of Administrative Penalty Cases


From 2021 to 2023, a total of 93 instances of asset valuation agencies received administrative penalties—18 instances in 2021, 26 instances in 2022, and 49 instances in 2023. These agencies were distributed across 25 regions, with the top five being Shanxi, Hunan, Beijing, Jilin, and Sichuan.

12

2021-11

Analysis of Self-Discipline and Disciplinary Measures


From 2021 to 2023, a total of 123 instances of self-disciplinary sanctions were imposed on asset valuation agencies: 12 instances in 2021, 33 instances in 2022, and 78 instances in 2023. These sanctions were distributed across 28 regions, with the top three being Beijing, Guangdong (excluding Shenzhen), and Jiangsu.

12

2021-11

Analysis of Key Issues Subject to Penalties


In the penalty cases, violations of 23 assessment guidelines and 193 specific provisions totaled 1,109 instances. The guidelines with the highest number of violations were: "Guidelines for Asset Valuation Practice—Asset Valuation Procedures," "Guidelines for Asset Valuation Practice—Asset Valuation Reports," "Guidelines for Asset Valuation Practice—Asset Valuation Files," "Basic Guidelines for Asset Valuation," and "Guidelines for Asset Valuation Practice—Enterprise Value," with 279, 165, 162, 112, and 101 violations, respectively.

12

2021-11

Strong policy regulation lays a solid foundation for standardization; digital and intelligent transformation enhances service efficiency.


Recently, the Ministry of Finance issued the "Guiding Opinions on Further Strengthening the Regulation of the Asset Valuation Industry" (hereinafter referred to as the "Opinions"), which proposes 12 specific measures covering aspects such as quality control in practice, risk prevention mechanisms, and coordinated regulatory collaboration, drawing widespread attention from the industry. Meanwhile, the application of technologies such as AI valuation models and big-data asset verification is gradually being implemented in the asset valuation sector, driving the industry’s transformation from traditional service models toward a more integrated approach that combines "professional expertise with technology," thereby providing more precise value references for the development of the real economy.
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