记者丨郑康喜 焦文娟 吴晓宇 编辑丨蒋韵 近日，国家统计局发布数据，前8月我国汽车产量突破2000万辆，同比实现双位数增长。"十四五"期 间，汽车产业已跃升为中国第一经济支柱，产业链上下游生产总值约占全国GDP的10%。 迅猛发展的汽车产业，催生了一批"汽车产业大省"。从今年前8个月各省份汽车产量看，广东以177.69 万辆位居全国第二名。 汽车产量统计口径之变 2024年，广东全年汽车产量570.74万辆，位居全国第一。但从今年一季度开始，从各省汽车产量来看， 广东已不是第一名。不过，这并非意味着广东汽车产业"缩水"。 从今年开始，国家统计局正式调整了地方汽车产量的统计方式，以"生产地"作为统计口径，取代了之 前"企业法人所在地"的统计方式。近年来，出于产能扩张、市场拓展等因素的考虑，比亚迪、广汽等广 东车企逐步在省外设置生产基地，如比亚迪在合肥的"超级工厂"规划年产能132万辆，比亚迪长沙新能 源汽车产量规划总产能也达每年90万辆。 图源：新华社 21世纪经济报道记者了解到，汽车产业大省产量排名的背后是统计口径的变化。从今年开始，国家统计 局正式调整了地方汽车产量的统计方式，统计口径由此前的"企业法人所在 ...

Core Viewpoint - The automotive industry in China has become a crucial economic pillar, contributing approximately 10% to the national GDP, with production exceeding 20 million vehicles in the first eight months of the year, reflecting double-digit growth year-on-year [1][3]. Group 1: Automotive Production and Statistics - The National Bureau of Statistics has changed the method of calculating local automotive production from "enterprise legal person location" to "production location," impacting the rankings of provinces [3][5]. - Guangdong, which previously held the top position in automotive production for nine consecutive years, has seen a decline in its ranking due to this statistical adjustment, despite the province's automotive industry continuing to grow [5][6]. - The adjustment aims to better align with the construction of a unified national market and provides a more comprehensive understanding of regional automotive industry competitiveness [6][8]. Group 2: Guangdong's Automotive Industry Development - Guangdong is transitioning from being merely a "major automotive production province" to becoming a "major automotive industry export province," following international trends where developed automotive industries expand production capabilities abroad [6][9]. - The province's automotive industry is increasingly focused on technological competition, particularly in the field of intelligent connected vehicles, with a complete industrial chain established in this area [8]. - Guangzhou has become a leader in autonomous driving, with 1,298 test roads open for autonomous vehicles, and has achieved significant milestones in vehicle networking technology [8]. Group 3: Global Expansion and Competitiveness - Guangdong's automotive industry is leveraging its geographical advantages and deep integration with global manufacturing to expand its competitiveness internationally [9]. - Companies like Xpeng Motors and BYD are initiating localized production projects in Europe and Japan, respectively, to enhance their brand and product influence in these markets [9].

Core Insights - The automotive industry in China has become a key economic pillar, contributing approximately 10% to the national GDP, with production exceeding 20 million vehicles in the first eight months of the year, reflecting double-digit growth year-on-year [2] - Guangdong province, while ranking second in vehicle production with 1.7769 million units, is transitioning from being the largest production province to becoming a major player in the automotive industry through innovation and technology [2][5] Statistical Adjustments - The National Bureau of Statistics has changed the method of calculating local automotive production from "enterprise legal person location" to "production location," impacting the reported production figures for provinces [3][4] - This adjustment has led to fluctuations in production data, particularly affecting Guangdong, which has seen its ranking drop despite ongoing growth in its automotive sector [4] Industry Competitiveness - The shift in statistical methodology aims to better align with the construction of a unified national market and provides a more comprehensive view of regional automotive competitiveness [5] - Guangdong's automotive industry is evolving from a production-focused model to one that emphasizes industry output, similar to trends observed in the automotive sectors of the US, Japan, Germany, and South Korea [5] Technological Advancements - Guangdong has established a complete industrial chain in the smart connected vehicle sector, including manufacturers, autonomous driving tech companies, and key suppliers, positioning itself as a leader in this field [6] - The province is focusing on five key areas: computing chips, AI models, AI vehicles, AI robots, and flying cars, leading to significant advancements in technology and commercial applications [8] Global Expansion - Leveraging its geographical advantages, Guangdong is increasingly exporting its automotive industry competitiveness globally, with companies like Xpeng and BYD initiating localized production in Europe and Japan [10] - This trend indicates a significant shift in Guangdong's automotive industry as it enters a new competitive phase, enhancing its influence and presence in international markets [10]

Group 1 - The theme of the 2025 Beike Finance Annual Conference is "The Co-Growth of Openness and Resilience in the Chinese Economy" [1] - Zheng Xinfeng, Vice President of Beijing Automotive Research Institute, emphasized that the integration of AI large models with the automotive industry will introduce more cross-industry suppliers, enhancing collaboration between manufacturers and suppliers [1][5] - The development of technology is driven by demand, and understanding user needs can significantly aid in the technological advancement of intelligent connected vehicles [1][5] Group 2 - Intelligent driving assistance systems are not equivalent to highly automated driving, and human factors remain crucial for safety [4] - Zheng Xinfeng highlighted that each manufacturer defines a series of operational limits for their driving assistance systems, known as ODD (Operational Design Domain), which users must understand [4] - Beijing Automotive has adopted platform-based, modular, and universal technical solutions for its driving assistance systems, and is involved in various levels of automated driving projects [4][5] Group 3 - The rapid development of AI technology has made large models a significant driver of industrial transformation, impacting vehicle research, production, and user experience [5] - The integration of large models into automotive software development has significantly increased efficiency, allowing for automated code generation and testing [5][6] - The introduction of large models will diversify the collaboration models between manufacturers and suppliers, as valuable data generated during vehicle operation can enhance the entire industry chain [5][6] Group 4 - The intelligent connected ecosystem can both challenge and empower traditional fuel vehicles, enhancing their intelligence and extending their lifecycle [6] - Fuel vehicles can be integrated into the intelligent connected ecosystem, providing added value and smart features to users [6]