Core Viewpoint - The recent revision of the Price Law in China aims to address the issue of "involution" in market competition, particularly in the context of food delivery platforms and other sectors, by implementing stricter regulations on pricing strategies and promoting fair competition [1][2]. Group 1: Background and Context - The "subsidy war" among food delivery platforms has brought "involution" competition into public view, prompting the government to take significant reform measures to optimize market competition order [1]. - The Price Law, in effect since 1998, has played a crucial role in guiding resource allocation and protecting consumer rights, and its first revision is intended to meet new economic demands and challenges posed by digital and platform economies [1][2]. Group 2: Key Changes in the Price Law - The revision includes ten main points focusing on improving government pricing regulations, clarifying standards for identifying unfair pricing behaviors, and enhancing legal responsibilities for price violations [2]. - The revised law aims to regulate typical issues such as predatory pricing, price discrimination, and price gouging, thereby addressing the negative impacts of "involution" competition [2]. Group 3: Impacts on Consumers and Labor - The revision shifts the role of consumers from passive recipients to active participants in the pricing process, allowing them to influence pricing mechanisms through feedback [3]. - It aims to better protect the rights of workers, particularly in flexible employment sectors, by curbing harmful price wars and encouraging companies to invest in research and development instead of low-price competition [4]. Group 4: Adaptation to New Economic Realities - The revision responds to emerging pricing issues in the digital economy, such as algorithmic pricing discrimination and forced choices by platforms, by incorporating new regulatory measures [5]. - It emphasizes the shared responsibility of platform companies in pricing practices, aiming to protect smaller businesses and foster innovation in the market [5][6]. Group 5: Long-term Goals - The Price Law revision is seen as a critical step in establishing a robust defense against "involution," promoting high-quality economic development by encouraging innovation and efficient resource allocation [6]. - By enhancing market competition and encouraging companies to focus on technological advancements, the revision aims to transition China's industrial competitiveness from scale advantages to technological advantages [6].

智通财经APP获悉，据网约车监管信息交互系统监测，截至2025年6月30日，全国共有389家网约车平台公司取得网 约车平台经营许可，环比增加4家。网约车监管信息交互系统6月份共收到订单信息7.57亿单，日均订单环比增长 1.6%。 从本月情况看，有以下特点： 一、在订单量前10名的平台中，按订单合规率(指驾驶员和车辆均获得许可的订单量占比)从高到低的分别是如祺出 行、喜行约车、旅程约车、享道出行、及时用车、阳光出行、T3出行、曹操出行、滴滴出行、花小猪出行。本月订 单合规率增长前3名的依次是如祺出行、旅程约车、喜行约车；增长靠后的分别是滴滴出行(-1.1%)、享道出行 (-1.3%)。 (按平台名称拼音排序) 其中，面向乘客、与网约车平台公司共同提供服务的平台(俗称"聚合平台")完成2.78亿单，环比下降0.4%。按订单 合规率由高到低的分别是花小猪出行、滴滴出行、高德打车、百度打车、腾讯出行、携程用车、美团打车。 二、在各主要中心城市中，按订单合规率从高到低排名分别是深圳、成都、广州、杭州、济南、重庆、天津、郑 州、南宁、贵阳、厦门、青岛、长春、合肥、石家庄、福州、西宁、宁波、南京、拉萨、长沙、南昌、海口、 ...

人民财讯7月31日电，据交通运输部官微消息，据网约车监管信息交互系统监测，截至2025年6月30日， 全国共有389家网约车平台公司取得网约车平台经营许可，环比增加4家。网约车监管信息交互系统6月 份共收到订单信息7.57亿单，日均订单环比增长1.6%。 ...

据交通运输部消息，据网约车监管信息交互系统监测，截至2025年6月30日，全国共有389家网约车平台 公司取得网约车平台经营许可，环比增加4家。网约车监管信息交互系统6月份共收到订单信息7.57亿 单，日均订单环比增长1.6%。 （文章来源：第一财经） ...

网约车监管信息交互系统6月份共收到订单信息7.57亿单 日均订单环比增长1.6% 智通财经7月31日电，据网约车监管信息交互系统监测，截至2025年6月30日，全国共有389家网约车平 台公司取得网约车平台经营许可，环比增加4家。网约车监管信息交互系统6月份共收到订单信息7.57亿 单，日均订单环比增长1.6%。 ...

据网约车监管信息交互系统监测，截至2025年6月30日，全国共有389家网约车平台公司取得网约车平台 经营许可，环比增加4家。网约车监管信息交互系统6月份共收到订单信息7.57亿单，日均订单环比增长 1.6%。在订单量前10名的平台中，按订单合规率(指驾驶员和车辆均获得许可的订单量占比)从高到低的 分别是如祺出行、喜行约车、旅程约车、享道出行、及时用车、阳光出行、T3出行、曹操出行、滴滴 出行、花小猪出行。本月订单合规率增长前3名的依次是如祺出行、旅程约车、喜行约车；增长最后3名 的依次是曹操出行(-0.5%)、滴滴出行(-1.1%)、享道出行(-1.3%)。(交通运输部) ...

Core Insights - Dida Chuxing has launched new interest tags and personalized avatar features to enhance user expression and engagement [1] Group 1: New Features - Users can choose from hundreds of tags across eight dimensions, including city, industry, MBTI, pets, lifestyle, sports, personality, age, and zodiac [1] - The updated avatar library offers a wide variety of options, including categories like animals, plants, food, scenery, sports, activities, and car brands [1] - Future updates will continue to expand the avatar options based on user preferences [1] Group 2: User Engagement - The introduction of interest tags and avatars aims to help users find like-minded travel companions, making ride-sharing more enjoyable [1] - Dida Chuxing is focused on building a shared trust community and enhancing the atmosphere of ride-sharing [1] - Additional features will be introduced to improve transparency regarding travel credit information and to foster valuable connections among users [1]

Core Insights - The article discusses the failure of the Didi ride-hailing service on the Daqingshan Island due to a mismatch between supply and demand in the local transportation market [4][15][18] Group 1: Market Dynamics - The local taxi drivers prefer not to use Didi because the platform takes a service fee, reducing their earnings significantly compared to direct fares [6][7] - The supply of taxis on the island exceeds the demand for rides, leading to an oversaturated market where drivers can easily find passengers without needing a platform [7][8] - In larger cities, Didi provides value by optimizing ride allocation and reducing idle time for drivers, which is not applicable in smaller markets like Daqingshan Island [8][18] Group 2: Consumer Behavior - Local taxi drivers have a strong understanding of the island's geography and typical fares, allowing them to negotiate flat rates directly with passengers [9][10] - Many drivers promote their services through personal contact information, making it easy for potential customers to reach them directly [11][12] - The local culture and market conditions encourage drivers to accept direct calls for rides, even if it means driving empty to pick up passengers [13][14] Group 3: Business Model Viability - The article emphasizes that successful business models must be validated against real market conditions, particularly in terms of supply and demand [17][18] - The failure of Didi on the island illustrates that having a product or service does not guarantee market success without proper alignment of supply and demand [15][18] - The insights suggest that understanding local market dynamics is crucial for the success of any business model [19][20]

Core Viewpoint - The Chinese government is intensifying its "anti-involution" policies to combat low-efficiency competition in the platform economy, aiming to shift from chaotic "traffic involution" to a new phase of healthy competition focused on efficiency and service [2][9]. Group 1: Policy Background - "Anti-involution" has become a key term in China's economic governance, with significant policy developments from July 2024 to March 2025, including the introduction of the revised Anti-Unfair Competition Law, which prohibits platforms from forcing merchants to sell below cost [2][3]. - The series of policies aims to curb malicious competition, protect stakeholders' rights, and drive the industry towards high-quality development [2][3]. Group 2: Industry Challenges - Various sectors, including live e-commerce, retail e-commerce, food delivery, ride-hailing, and online travel, are deeply entrenched in "involution" and face severe challenges due to ongoing low-price wars and subsidy battles [2][4]. - The food delivery industry exemplifies this issue, where platforms transfer costs to merchants through irrational subsidies and rising commissions, creating a vicious cycle [4][6]. Group 3: Investigation Actions - The "Breaking 'Involution' and Reshaping Ecology" investigation initiated by the China E-Commerce Research Center focuses on major platforms across retail e-commerce, local life services, cross-border e-commerce, ride-hailing, and online travel [9][20]. - The investigation will include real-time monitoring of "involution" issues, extensive research on platforms' responses to policies, expert analyses of industry pain points, and multi-channel dissemination of findings [20][22]. Group 4: Future Directions - The investigation aims to establish a new competitive dimension centered on "efficiency" and "service," moving beyond mere traffic and price competition to enhance supply chain optimization and technological empowerment [22]. - Regulatory measures and legal deterrents are necessary to address the current challenges, but a sustainable evaluation system focused on creating real social value is essential for long-term success [22].

智通财经7月28日电，LYFT的自动驾驶班车据悉将于2026年登陆美国城市。 ...