基于中国华东地区油脂油料产业链调研的深度观察：高油价冲击之下，油脂油料产业的实况调研

Report Summary 1. Report Industry Investment Rating No information provided in the report. 2. Core Viewpoints of the Report - The transmission of the oil price shock to the oilseeds and oils industry is not linear. The limited exposure and transmission blockage at the macro level, along with high inventory, weak demand, and corporate caution at the industrial level, together form a buffer zone for the Chinese economy. Short - term market sentiment dominates, but in the medium and long term, the market will return to the fundamentals [4][5][33]. - The current market pricing of oilseeds and oils has deviated from the fundamentals, with short - term sentiment taking the lead, and there is an obvious sentiment of waiting for price corrections to buy [7]. 3. Summary by Relevant Catalogs 3.1 Research Background and Purpose - In March 2026, the escalation of the US - Iran conflict led to a significant increase in international oil prices, causing violent fluctuations in the oilseeds and oils futures market. The report aimed to explore the real transmission path of the macro - shock to the industrial end by conducting a five - day industrial research on various industrial chain entities from March 23rd to 27th [6]. 3.2 Core Findings of Industrial Research - Core Conclusion: Macro - sentiment Dominance and "Ineffectiveness" of Supply - demand Fundamentals: The current market pricing has deviated from the fundamentals, and prices are mainly influenced by macro - factors such as crude oil and international conflicts. There is a clear sentiment of waiting for price corrections to buy, and there is also a phenomenon of variety differentiation [7]. - Industrial Transmission Path of Macro - shock: - Logistics Cost Increase: International tensions increased shipping costs, with container freight rising by about $500 per container (equivalent to about $50 per ton) after the conflict. Domestic road freight is also likely to increase [7][9]. - Market Sentiment Amplification: The sharp rise in crude oil prices drove the price of palm oil up first. The market generally adopted a strategy of buying on price corrections, and macro funds were pre - arranged [9]. - Limited Impact on Direct Raw Material Supply: The actual impact on agricultural products was weaker than the market sentiment hype. The extended customs inspection period has become a normal state, and enterprises have adapted to it [9]. - "Triple Blockages" in Cost Transmission: - Inventory Blockage: High inventory in the intermediate links, with multiple varieties at or above the same - period high levels, suppressed price increases [10]. - Rigid Demand Blockage: Downstream demand was rigid, with low price elasticity. Terminal consumption was compressed to the "pure rigid demand" level, and the price transmission cycle was long [11][12]. - Wait - and - see Blockage: The uncertainty of macro - events weakened corporate confidence, and enterprises were more inclined to wait and see rather than quickly transfer cost pressures to the downstream [12]. - Demand - side Situation: - Weak Domestic Consumption: Domestic consumption of vegetable oils showed a slow downward trend due to factors such as population decline, increased health awareness, and sluggish catering consumption [14]. - Exports as a Key Variable: Soybean oil exports might increase this year, and the industry generally focused on the volume of exports to India [14]. - Differences in Perception among Different Industrial Chain Links: - Upstream Processing Enterprises: Customs inspection has become a normal state; there were differences in soybean inventory and April startup rates; some enterprises tried to purchase Canadian soybeans; group - level unified procurement was common [15]. - Trading Enterprises: Currently, basis trading was the main mode, with some risk exposure. Small - scale traders mainly used fixed - price trading [16]. - Downstream Feed Enterprises: Foreign enterprises entered the market, and domestic enterprises expanded overseas. Different enterprises developed different types of feed based on their advantages. There was a time - lag in price transmission from raw materials to feed [17]. - Logistics and Warehousing Enterprises: A logistics and warehousing enterprise had a certain proportion of oil transit volume in the country. There were differences in the release time of different imported varieties [17][18]. - Investment Companies: An investment company focused on both domestic and foreign futures and spot markets in oilseeds and oils, combining options and futures to manage risks [18]. - Evolution of the Industry's "Innovative" Model: The volatile market in recent years has led to the emergence of more unilateral traders, and the "basis - washing" model has increased industry risks, reflecting a differentiation in the industry's perception of risk [19]. 3.3 Macro Coordinates: Transmission Mechanism of Oil Price Shock in China - Limited Exposure: China's real vulnerability to Middle East energy shocks was overestimated. China's energy structure and inventory accumulation, along with administrative regulation of refined oil prices, provided a long - term buffer [21]. - Transmission Blockage: The transmission from PPI to CPI was still weak. An increase in PPI mainly affected upstream industries, and the impact on core CPI was limited and short - lived [22]. - Policy Response: Rising oil prices might delay the pace of monetary easing. Policy variables have become an important part of industrial expectations [23]. 3.4 Integration of Macro - analysis and Industrial Reality - Macro - verification and Micro - manifestation of Transmission Blockage: The weak transmission from PPI to core CPI at the macro level was directly reflected in the high - inventory buffer, downstream rigid - demand resistance, and extended transmission cycle at the industrial level [24]. - Macro - composition and Industrial Embodiment of the Buffer Zone: China's macro - buffer zone, composed of high inventory, administrative regulation, and price - adjustment mechanisms, was manifested in the industrial behavior of enterprises such as low inventory replenishment willingness and a shift to basis trading [25]. - Tension between Short - term Repair and Long - term Carrying Capacity: The short - term nominal repair in the upstream did not effectively transmit to the downstream. Prolonged shocks might lead to greater demand destruction [26][27]. - Spill - over Effects of Fertilizer and Planting Costs: The increase in agricultural production material prices, especially fertilizer prices, would support the long - term prices of oilseeds and oils through the planting cost channel [28]. - Long - term Game of Weather and Biodiesel Policies: The El Niño phenomenon and biodiesel policies in Indonesia, the US, and Brazil were important topics in the industry. The actual implementation of biodiesel policies might be weaker than expected [29]. 3.5 Summary and Outlook - Non - linear Transmission of Oil Price Shock: The oil price shock in China was not a single - line story. The buffer zone formed by macro and industrial factors made China's asset response more moderate than that of most Asian economies [30]. - Return to Fundamentals in the Medium and Long Term: Short - term nominal repair did not equal broad - based re - inflation. As the impact of geopolitical events weakened, the market would return to fundamentals [30]. - Formation of Cost - transmission "Blockage" and Downstream Transformation: The cost pressure in the upstream accumulated in the intermediate links, squeezing the industry's profit. The downstream food processing industry was undergoing integration and transformation [31]. - Enterprise Risk - management Transformation: Enterprises were shifting from "trend gambling" to "fine - grained risk management," but there were obvious differences in paths. The application of risk - management tools was gradually spreading, but there were still differences in acceptance and utilization depth [31][32]. - Short - term and Long - term Market Game: In the short term, the supply of soy - related products was tight in April and would ease after May, but this needed dynamic evaluation. In the long term, the core drivers were the El Niño phenomenon and the progress of biodiesel policies [33].