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对比中外车企,未见恒大式车企,但供应链融资或是另个问题_我的网站

霸王别姬

一 |     

行业】5月23日,长城汽车董事长魏建军在一场访谈中提到:汽车行业存在很多不遵守商业规则的现象,比如车企无限度降价,降价背后是偷工减料、质量堪忧。

二 | 并提出汽车行业的“恒大”已经出现。    

This photo taken on July 10, 2026 shows a data-driven environmental governance system, known as the innovative regulation-monitoring-inspection linkage model, showcased at the Beijing Municipal Ecological and Environmental Monitoring Center in Beijing, capital of China. (Xinhua/Sun Suying)
    This photo taken on July 10, 2026 shows a data-driven environmental governance system, known as the innovative regulation-monitoring-inspection linkage model, showcased at the Beijing Municipal Ecological and Environmental Monitoring Center in Beijing, capital of China. (Xinhua/Sun Suying)Beijing's blue skies have become a visible sign of the city's progress in tackling air pollution, and behind that progress, digital technologies are playing an increasingly important role.
In 2025, Beijing recorded 311 days with good air quality and only one heavily polluted day, compared with 58 heavily polluted days in 2013, when the city officially began releasing PM2.5 monitoring data. The annual average PM2.5 concentration, a key indicator of air quality, fell from 89.5 micrograms per cubic meter in 2013 to 27 micrograms per cubic meter in 2025, a decline of nearly 70 percent.
The progress has drawn international attention. The United Nations Environment Programme has highlighted Beijing's experience in improving air quality as a model for other cities.
According to experts at the Beijing Municipal Ecological and Environmental Monitoring Center, the cleaner air is the result of a comprehensive system integrating environmental monitoring, scientific analysis, policymaking, regional cooperation and law enforcement -- with digital technologies now woven into every link of that chain.
MORE TARGETED APPROACH
Effective governance begins with accurate monitoring. Beijing has established a multi-level air-quality monitoring network. Figures show 35 standard monitoring stations across the city continuously measure six major pollutants, while more than 1,000 compact sensors deployed across communities and townships provide more detailed information on local air-quality variations.
The monitoring system was gradually built by the Beijing Municipal Ecological and Environmental Monitoring Center, one of China's earliest ecological and environmental monitoring institutions, responsible for monitoring Beijing's air, water, noise, soil environments and ecosystems.
The center has developed an analytical system that can identify around 125 components of PM2.5, covering most of its composition and helping researchers trace pollution sources.
"Source analysis helps us identify the major contributors to pollution at different stages, providing a scientific basis for policymakers to target key emission sources," said Li Yunting, technical director at the center.
Coordinated by the Beijing Municipal Ecology and Environment Bureau, the center has conducted four rounds of PM2.5 source analysis studies with other institutions, with results released in 2014, 2018, 2021 and 2025.
The latest analysis showed that regional transport contributed 57 percent of Beijing's PM2.5 pollution. Among local sources that accounted for the remaining 43 percent, vehicle emissions and residential sources represented the largest share of pollution, a distinctive characteristic of a major international metropolis.
The monitoring results have provided scientific support for a series of pollution-control measures. For example, Beijing has promoted new-energy vehicles to reduce transport emissions and adopted advanced techniques, including air-supported membrane structures, to control dust emissions. Meanwhile, coal combustion pollution, once a major contributor, has almost been eliminated and is no longer listed among the main sources, reflecting broader national efforts to reduce coal consumption, promote clean energy and upgrade heavily polluting industries.
With PM2.5 concentrations now at relatively low levels, further gains in air quality will depend on more targeted, science-driven approaches.
This photo taken on July 10, 2026 at the Beijing Municipal Ecological and Environmental Monitoring Center in Beijing, capital of China, shows the changes in the annual average concentration and spatial distribution of PM2.5 in Beijing from 2013 to 2025. (Xinhua/Sun Suying)
    This photo taken on July 10, 2026 at the Beijing Municipal Ecological and Environmental Monitoring Center in Beijing, capital of China, shows the changes in the annual average concentration and spatial distribution of PM2.5 in Beijing from 2013 to 2025. (Xinhua/Sun Suying)
SMARTER ENVIRONMENTAL GOVERNANCE
Beyond monitoring pollution, Beijing has built a data-driven environmental governance system that links monitoring, regulation and enforcement in a closed loop from detection to action and follow-up evaluation.
Developed by the center and known as the innovative regulation-monitoring-inspection linkage model, the system integrates artificial intelligence, the Internet of Things, satellite remote sensing and vehicle-mounted monitoring technologies to pull together environmental data from multiple sources onto a unified platform.
"The system brings information that was once scattered across different departments onto a single platform," said Zhang Likun, director of the smart system division at the center, adding that this enables off-site enforcement and joint cross-sector actions involving housing, water resources and transportation, significantly improving the efficiency and precision of environmental management.
Using more than 30 intelligent algorithms, the platform automatically analyzes data and identifies potential pollution risks, based on which monitoring staff identify the most pressing problems and forward them to enforcement departments.
The approach has already drawn international attention. Clean Air Asia, an international nongovernmental organization focused on improving air quality across Asia, featured the system as a representative case study in its "China Air 2025" report. The model was also presented at the 2026 Better Air Quality Conference and recognized with the Certificate for Clean Air Best Practice Sharing.
China has integrated ecological conservation into its modernization drive. As the country speeds up efforts under the Beautiful China Initiative, Beijing's experience demonstrates how technology can support more precise, coordinated and sustainable environmental governance.
关于“恒大式”汽车的讨论在网上非常热烈,我们从财报角度,借助网上公开的资料,对比车企和恒大之间的差异,并未发现恒大式车企。
中国车企负债率很高吗?中美车企都差不多汽车产业是重资产行业,根据财报披露的数据,高负债是这个行业的典型特征。在2025年一季度公布了资产负债率的六家车企中,资产负债率几乎都在60%以上,赛力斯作为新选手,负债率76.8%为6家当中最高。但环比去年末数据,所有车企负债率都出现下降,赛力斯降幅最大,达到10.5%。
中国车企的负债率比对
对比海外车企,除了特斯拉(主要原因是特斯拉并非是一家传统制造业公司,而是一家科技属性更强的公司),其余所有老牌车企负债率也几乎都在60%以上。

三 | 福特、通用汽车等两家美国车企甚至高达84%和76.5%

海外主流车企的负债率普遍较高,特斯拉除外
谁的负债更健康?中美各有差异既然中外车企负债率都很高,那负债的结构就是重点。海外车企当中,有息负债占到绝大多数,丰田、福特、本田等占总负债比重都超过60%,而特斯拉又是最亮眼,有息负债仅17%。
2024年海外车企的负债结构,有息负债为主,特斯拉除外
中国车企的有息负债明显更低,除了蔚来的22%占比,其余车企都在10%上下,赛力斯、长安等车企几乎为0。

四 | 中国车企的负债大多来自供应商的应付款等赊销方式,相当于变相向产业链上下游公司融资。这个主要原因是来自中外金融市场成熟程度差异,海外车企更容易从金融市场借钱,负债以有息负债为主。

五 |

2024年中国车企的负债结构,有息负债很低,供应链融资为主
从负债角度看,车企和恒大有本质区别。

六 | 恒大暴雷之前,2019年底恒大总资产约2.21万亿,总负债高达1.84万亿元,资产负债率约83.3%但和车企不同的地方在于,恒大的有息负债为1万亿,其中约75%是各类高息贷款、理财产品融资,境内外债券等,平均融资利息高达9.5%,海外美元债券利率都要10%,甚至更高。公司内部还存在挪用资金、违规质押等操作。价格战对车企利润造成严重拖累持续了两年多的价格战已严重压低中国汽车行业的利润空间。据崔东树测算,2022年及之前,中国市场单车利润始终未低于过2万元,2023年和2024年分别降至1.7万元、1.5万元。2025年一季度,单车利润进一步降至1.3万元。

七 |

汽车行业利润降至历史低位
国家统计局5月27日公布的数据看到,2025年前四个月,国内汽车制造行业利润率刚过4%,处于历史低位。2021年至2024年,行业利润率逐年下滑,由6.1%降至4.3%。

八 | 3月国家发改委刚批评车市无序竞争3月,在出席中国电动汽车百人会论坛时,发改委相关负责人具体指出,当前车市无序竞争问题较为突出,有的企业不惜牺牲利润抢占市场,虚假宣传、恶意抹黑等现象时有发生。这不仅会在短期内造成行业利润下降,长期来看,还将影响技术创新、产品质量安全,削弱产业竞争力。相关负责人称,将着力整治市场乱象,规范竞争秩序。

九 | 没有看到恒大式车企,但要警惕供应链系统性风险近年来汽车行业竞争残酷,无休无止的价格战,多数车企苦不堪言,却又不得不参与其中,行业整体利润空间持续压缩,对中小车企造成较大压力。而规模较大的车企在对上游供应商采购环节中,不采用现金支付,越来越多使用承兑汇票,采用赊销的方式向供应商变相融资,将融到的资金用于海外扩张或国内研发、扩产能。国内方面,车企为了参与价格战,持续降本,收紧现金流,拉长供应商的还款期。一旦有车企现金流断链,财务压力就会传导至整个产业链,这类系统性风险值得警惕。( 图/文 吴沛哲)

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