《行政执法监督条例》公布 强化监督乱收费乱罚款等行为

Core Viewpoint - The newly announced Administrative Law Enforcement Supervision Regulations aim to strengthen and standardize administrative law enforcement supervision, promoting strict, standardized, fair, and civilized law enforcement, thereby enhancing the level of law-based administration and reinforcing the construction of a law-based government [1][2]. Group 1: Overview of the Regulations - The regulations consist of 7 chapters and 44 articles, establishing administrative law enforcement supervision as a fundamental method for coordinating law enforcement work and an important part of the party and state supervision system [1]. - The regulations emphasize the principles of balancing standardization and guidance, prevention and correction, as well as supervision and guarantee, to address issues in administrative law enforcement and improve its quality and effectiveness [1][2]. Group 2: Scope and Methods of Supervision - The regulations clarify the scope of administrative law enforcement supervision, which includes monitoring the implementation of major decision-making deployments by the central government, adherence to various administrative law enforcement systems, and lawful execution of administrative enforcement [2]. - Various methods of supervision are outlined, including daily supervision, key supervision, and special supervision, with specific measures such as designated supervision and elevated supervision for significant issues raised by enterprises and the public [2]. Group 3: Handling and Safeguarding of Supervision - The regulations standardize the handling of issues identified during supervision, allowing for the issuance of administrative law enforcement supervision notices, opinions, or decisions to prompt corrections based on different circumstances [2]. - There is a focus on strengthening the construction of the administrative law enforcement supervision team and enhancing the integration of supervision information through advanced technologies like big data, cloud computing, and artificial intelligence for efficient and real-time monitoring [3].