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晋冀鲁豫大宗商品骨干流通走廊沿线11市谋划重点项目363个,晋冀鲁豫大宗商品骨干流通走廊沿线11市谋划重点项目363个_我的网站
A | 太原8月24日电 (记者 李庭耀)24日，在中共山西省委宣传部、山西省人民政府新闻办公室举办的开局起步“十五五”系列主题新闻发布会上，临汾市委副书记、市长王延峰介绍，截至目前，晋冀鲁豫大宗商品骨干流通走廊沿线11个地市共谋划重点项目363个、总投资1.16万亿元。 2024年，临汾市被国家发展改革委确定为晋冀鲁豫大宗商品骨干流通走廊建设牵头城市。王延峰表示，牵头建设这一走廊是国家发展改革委赋予临汾的重大使命。
B | 走廊建设能够高效贯通“一带”和“一路”，纵深融入黄河流域生态保护和高质量发展等多个国家战略，有力支撑全国区域经济发展格局。目前，走廊已列入《国家现代流通体系建设“十五五”规划》，上升为国家战略。 作为牵头城市，未来五年，临汾将与沿线其余10个地市携手，推动区域间设施互联互通、产销互动互融、合作互促互利，确保走廊建设走深走实、早见成效。
Illustration: Liu Xiangya/GT
Recent media reports have questioned whether a natural gas plant built to power an Amazon data center project in Texas could become the largest climate polluter in the US. The controversy, whatever the eventual outcome, offers a reality check for America's artificial intelligence (AI) drive.
It exposes a growing contradiction: The US is racing to expand its AI capabilities, yet its protectionist trade policies are making it harder and more costly to access some of the clean-energy technologies needed to sustain that expansion. This raises a broader question: Can an energy-intensive AI race afford the costs of renewable energy protectionism?
The US is entering a new era of rising electricity demand. Data centers, the backbone of the AI economy, are emerging as one of the fastest-growing sources of power consumption. Much of that demand is still being met by fossil fuels: The International Energy Agency reports that natural gas supplies more than 40 percent of the electricity used by data centers in the US, making it their largest source of power.
So, it's not surprising that the expansion of data centers has raised concerns over their environmental impact and the pressure they could place on local power systems and electricity bills. A Gallup survey conducted in March found that seven in 10 Americans opposed the construction of AI data centers in their local area, including 48 percent who strongly opposed such projects.
The findings point to a broader challenge for the US: The race to develop AI is increasingly becoming a race to meet growing energy needs. Addressing this challenge will require more than advances in computing technology; it will also depend on an energy system capable of delivering large amounts of reliable, affordable and cleaner power. That, in turn, will require faster development and broader deployment of clean-energy technologies, from solar power to energy storage.
Yet in the clean-energy sector, the US has increasingly relied on protectionist trade measures that limit access to cost-competitive products from global markets. The country has placed greater emphasis on expanding domestic manufacturing capacity, but rebuilding entire clean-energy supply chains at home is a costly and time-consuming process. Even if expanded domestic production is achieved, it is likely to come at a higher cost, making the deployment of renewable technologies more expensive and potentially slower.
The solar industry offers a clear illustration of this policy direction. The US has continued to expand trade barriers in the sector. Reuters reported that the US government announced on Thursday a series of price floors and a 15 percent tariff on products made from polysilicon, a raw material used in solar panels.
The challenge lies in the limited scale of the US polysilicon industry. Reuters reported that the country has two polysilicon factories. Against this backdrop, relying on domestic polysilicon production while restricting access to imports runs counter to the goal of expanding solar power in the US. The country risks creating barriers that ultimately constrain its own access to the global supply chains needed for growth.
The pressing issue for the US is the speed at which new power demand is emerging. The expansion of data centers is creating electricity needs that cannot wait for domestic clean-energy capacity to develop gradually. Global supply chains can provide the scale and speed required in the near term. By narrowing access to these sources, the US risks turning clean-energy policy into a drag on the infrastructure needed for its AI race.
The US has placed AI high on its economic and technological agenda. The outcome of this race will matter greatly, as financial markets are also watching whether America can turn its AI efforts into commercial success.
This leaves the US with a difficult choice: Can it afford the cost of clean-energy protectionism while racing to build AI infrastructure? The answer may be no. Trade barriers that limit access to competitive renewable technologies could ultimately become a constraint on the AI expansion that Washington is seeking to accelerate.
The author is a reporter with the Global Times. [email protected]
。 王延峰说，临汾在协调推动上述项目落地的同时，将突出抓好“一试点、一合作、一中心”建设，努力让牵头城市的职能从工作协调向引领发展转变。 其中，“一试点”是依托侯马方略保税物流园区“全国铜精矿‘口岸+目的地’联合监管试点”，积极争取“保税混矿”业务，推动瓦日铁路“重去重回”班列常态化开行，实现周边企业降本和物流提效双赢。
C | “一合作”是抢抓“双碳”机遇，与宁德时代、赣锋锂业等企业合作打造“电动临汾”，一体推进持车平台、电池平台、二手车经营服务平台等“三大平台”建设，致力打造零碳重卡短倒运输示范区。 “一中心”是依托骨干流通走廊，谋划建设黄河金三角大宗商品交易中心，围绕焦煤等优势产品，打造集价格发现、供应链协同、期现货交易、跨境贸易于一体的现代化能源贸易生态，努力让临汾的焦煤品牌更有影响力、更有话语权。 “我相信，在‘三个一’建设的引领下，临汾一定能够将区位优势转化为发展优势、将枢纽地位转化为经济地位，努力在服务构建新发展格局中展现更大作为、贡献更大力量。”王延峰表示。
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