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互联网平台反垄断合规指引
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《互联网平台反垄断合规指引》发布,明确4类垄断风险
Core Viewpoint - The "Guidelines for Antitrust Compliance of Internet Platforms" prohibit platform operators from engaging in monopolistic behaviors as defined by the Anti-Monopoly Law of the People's Republic of China, utilizing data, algorithms, technology, capital advantages, or platform rules [1] Summary by Categories Monopolistic Risks - The guidelines specifically address four categories of monopolistic risks: monopolistic agreements, abuse of market dominance, concentration of operators, and abuse of administrative power to eliminate or restrict competition [1] New Types of Monopolistic Risks - Eight new types of monopolistic risks have been identified based on the characteristics of the platform economy, including: - Algorithmic collusion between platforms - Organizing assistance for platform operators to reach monopolistic agreements - Unfair high pricing by platforms - Selling below cost by platforms - Blocking and obscuring competitors - "Choose one of two" behavior - "Lowest price on the entire network" practices - Differential treatment by platforms [1]
互联网平台反垄断合规指引发布,“二选一”等被列为风险示例
Sou Hu Cai Jing· 2026-02-13 08:37
Core Viewpoint - The Market Regulation Administration has released the "Antitrust Compliance Guidelines for Internet Platforms" to help platform enterprises accurately identify antitrust compliance "red lines" [1][2]. Group 1: Overview of the Guidelines - The guidelines consist of 5 chapters and 38 articles, systematically outlining monopoly risks in the platform economy using a "provisions + examples" format [1]. - The guidelines emphasize that platform operators, as "managers," can influence the competitive ecosystem through data, algorithms, technology, capital, and platform rules [1]. Group 2: Key Areas of Focus - The core chapters address four types of behaviors: monopoly agreements, abuse of market dominance, operator concentration, and abuse of administrative power to exclude or restrict competition [1]. - The section on abuse of market dominance details consideration factors and includes 6 examples, while the monopoly agreement section clarifies analytical paths with 2 examples [1]. Group 3: Risk Scenarios - Eight typical risk scenarios are highlighted, including algorithm collusion between platforms, assisting platform operators in reaching monopoly agreements, unfair high pricing, selling below cost, "blocking and shielding," "choose one of two," "lowest price across the network," and differential treatment [1].
国家市监总局:涉直播电商、网络交易平台等多项新规将出台
Group 1 - The National Market Regulation Administration (NMR) introduced the "Credit Repair Management Measures" to establish a more scientific and complete credit repair mechanism [1] - The NMR released the "Enforcement Guidelines for Commercial Bank Charging Behavior" to standardize bank charging practices and reduce corporate financing costs [1] - New regulations on "Live E-commerce Supervision Management Measures" and "Network Trading Platform Rules Supervision Management Measures" are expected to be introduced soon to ensure orderly development [1] Group 2 - The NMR is working on the "Antitrust Compliance Guidelines for Internet Platforms" and has completed public consultation, focusing on three key areas: policy delivery, listening to enterprises, and strict enforcement against monopolistic behaviors [2] - The NMR plans to introduce a second batch of penalty exemption lists, adding three categories of first violations and four categories of minor violations that will not incur penalties [3] - The criteria for "first violation" and "minor violation" are clearly defined, emphasizing that "no penalty" does not equate to "no oversight" [3] Group 3 - Starting from October 1, the NMR launched a cross-provincial enterprise migration data transmission system, which simplifies the migration process through three main reductions: reducing the need for physical travel, reducing required documentation from 32 to 8 items (a 75% reduction), and reducing the number of processing steps [4] - The new system allows for seamless data sharing and processing, enabling businesses to complete migration in a more efficient manner [4]