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7 月份中国公路物流运价指数为 105.2 点 - 经济观察网 － 专业财经新闻网站
According to data released by the China Federation of Logistics and Purchasing, China's road logistics freight rate index stood at 105.2 points in July 2026, up 0.15% year-on-year. Demand slowed due to the off-season and extreme weather, but supply-side capacity remained saturated, and experts expect demand to recover marginally in August. Follow·
Today·561 words (about 3 min)
AI Summary & Key Points
Summary
The article reports on the China Road Logistics Freight Rate Index for July 2026, jointly released by the China Federation of Logistics and Purchasing and Lin'an Logistics Group. The index stood at 105.2 points, up 0.15% year-on-year. During the month, the index showed a pattern of week-on-week increases in the first and last weeks and declines in the middle weeks. By vehicle type, the full-truckload index rose slightly year-on-year, the LTL heavy-cargo index increased, and the light-cargo index declined slightly. Gao Shuai, an analyst at the China Logistics Information Center, interpreted that in July, due to the traditional off-season and extreme weather such as high temperatures and heavy rain, transportation demand for bulk commodities and household consumption both weakened; on the supply side, digital platforms improved vehicle-cargo matching, and capacity remained at a high level of saturation. Tian Lihui, a professor at Nankai University, judged that short-term disturbances would not change the economy's positive underlying trend and expected freight demand to recover marginally in August. The report cites authoritative data and expert opinions from multiple sources, with a clear line between facts and commentary.
Main Points
* 1. The July road logistics freight rate index edged up year-on-year, with intra-month fluctuations driven by seasonal factors.
The index stood at 105.2 points, up 0.15% year-on-year, with week-on-week increases at the start and end of the month and declines in the middle three weeks, reflecting the temporary impact of the off-season and weather on market activity.
* 2. Demand is slowing, with both bulk commodities and consumption weakening.
The traditional off-season for production and construction, combined with extreme weather, led to lower operating rates for enterprises and continued weakness in demand for bulk commodities; in the consumer sector, after an earlier concentrated release, demand returned to normal, with limited momentum from upgraded consumption and weakening support.
* 3. Supply-side capacity remains at high saturation, with digitalization improving matching efficiency.
Nationwide highway truck traffic remained stable above 53 million vehicles, and platform-based organizational models improved vehicle-cargo matching, with ongoing structural optimization on the supply side.
* 4. Experts expect freight demand to recover marginally in August.
Tian Lihui believes that short-term weather disruptions will not change the economy's positive fundamentals, and as the impact of extreme weather subsides, the demand side will see a recovery window.
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8月7日，中国物流与采购联合会和林安物流集团联合调查发布的数据显示，2026年7月份，中国公路物流运价指数为105.2点，同比回升0.15%。从月内看，第一周、第五周运价指数环比回升，第二周、第三周、第四周运价指数环比回落。
中国物流信息中心分析师高帅对《证券日报》记者表示，7月份，受季节性因素影响，公路货运市场活跃度相较前期有所放缓。
分车型看，各类车型运价指数环比略有回落，同比涨跌互现。其中，以大宗商品及区域运输为主的整车指数为105.8点，比上年同期回升0.20%。零担指数中，零担轻货指数为102.5点，比上年同期回落0.09%；零担重货指数为105.9点，比上年同期回升0.23%。
“从需求看，市场需求总体呈现放缓态势。进入7月份，传统生产建设淡季叠加高温、暴雨等极端天气，企业开工率有所下降，大宗物资运输需求持续走弱；民生消费领域需求在前期集中释放后逐步回归常态，7月份消费热度回落与升级类消费动能有限，对货运需求支撑作用减弱。从供给看，运力供给在数字化、平台化组织模式转型推动下，车货匹配有所改善，继续呈现高位饱和状态，整月全国高速公路货车通行量稳定在5300万辆以上。”高帅说。
南开大学金融学教授田利辉对《证券日报》记者表示，短期扰动不改经济向好底色，随着极端天气影响逐步减弱，8月份货运需求有望边际修复。
Key Quotes
> Short-term disruptions will not change the economy's positive underlying trend; as the impact of extreme weather gradually weakens, freight demand is expected to recover marginally in August.
> Driven by the transition to digital and platform-based organizational models, vehicle-cargo matching has improved, and capacity continues to be highly saturated.
Tags
Macroeconomics
Logistics & Transportation
Economic Indicators
Market Analysis
Supply and Demand
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