12月2日中国能化现货估价指数（CECSAI）较前一工作日上涨0.24%

Core Insights - The China Energy and Chemical Spot Price Index rose to 815.19 points as of December 2, 2025, marking an increase of 1.94 points or 0.24% from the previous day, but a decrease of 184.81 points or 18.48% from the base period of July 2, 2024 [1] - The oil industry index reached 784.09 points, up 4.03 points or 0.52% from the previous day [1] - The natural gas industry index fell to 959.21 points, down 4.91 points or 0.51% from the previous day [2] - The chemical industry index increased to 818.07 points, rising by 1.04 points or 0.13% from the previous day [3] Industry Performance - The domestic energy and chemical spot price index has rebounded, with the oil sector leading the market due to international crude oil price increases and positive market sentiment driven by downstream replenishment [6] - The price of methanol surged due to strong auction results influenced by futures market gains, leading to an upward adjustment in market prices [6] Price Monitoring Data - The current prices for various oil products include: - Crude oil at 3391 CNY per ton, up 50 CNY or 1.50% from the previous period [7] - Gasoline prices in different regions remained stable or saw slight increases, with the highest being 7230 CNY per ton in East China [7][8] - Diesel prices also showed minor increases in certain regions [7][8] - Natural gas prices, particularly LNG, experienced declines, with prices in Inner Mongolia dropping to 4100 CNY per ton [8] - Chemical product prices varied, with some products like methanol seeing increases while others like ethylene glycol experienced slight declines [8][9] Index Methodology - The China Energy and Chemical Spot Price Index is developed by the Xinhua Index Research Institute, Jinlianchuang Network Technology Co., Ltd., and the Data Price Professional Committee of the China Price Association, monitoring 17 typical products across the oil and chemical industries [9] - The index aims to provide a comprehensive reflection of market price changes and industry development trends, utilizing a dataset that combines market inquiries, quotes, and transaction data [9]