蛇蝎美人第二季
“菜篮子”价格呈现季节性下降 姜蒜供应偏紧涨势明显_我的网站
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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]
。 央视网消息：根据农业农村部最新监测，3月份以来，全国蔬菜价格呈现季节性下降走势，但是生姜和大蒜却出现了一轮明显上涨的走势。具体行情如何？先到北京的批发市场去了解一下。 每天上午是北京新发地农产品批发市场的交易高峰期。
B | 但值得关注的是，姜蒜交易区和其他品类相比，人流量却不多。 北京新发地市场商户介绍，现在一斤生姜的价格在6元左右，涨了40%，客户需求量不大。以前一天能卖一车货，现在是三天能卖两车货。 北京采购商也表示，以前一天能拉四五十箱，现在能少一半，只有二三十箱。 除了生姜的价格在四月份出现上涨，大蒜价格也在春节后经历了一波上涨行情。商户黄新全告诉记者，北京市场大蒜价格3月涨幅在一成以上，主要是河南等主要产区在2月下旬遭遇大范围低温雨雪天气，蒜苗受损、市场预期减产导致。近期，随着产地大蒜长势恢复向好，价格出现小幅回落，但是比去年同期上涨幅度仍在五成以上。 山东安丘：姜种用量增加 产区供应阶段性偏紧 农业农村部监测数据显示，自3月下旬开始至今，全国生姜价格已连续4周上涨。本轮生姜价格上涨原因有哪些？记者也赶赴生姜主产区进行了调查。 在山东省安丘市西南庄村，生姜种植户正在田间忙着摆放姜种、施肥、盖土。据介绍，按目前产地生姜按每斤5.6元核算，每亩种植效益可以达到2万元左右。 近一个月正是生姜播种农忙期，随着种植户扩种意愿加大，姜种用量也有所增加，部分生姜被作为姜种使用，使产区供应量减少。
C | 记者了解到，生姜产区由于阶段性供应偏紧，周边一些冷库储存商预期得到提高，纷纷抓紧收购生姜入库，这也导致生姜价格被不断推高。 山东省安丘市生姜储存商孙建波介绍，生姜价格从2月份到现在一直是上涨态势，前几年种植量、收获量小了，库存量比前几年都少些。 河南郑州：早熟蒜长势良好 将于“五一”前后上市 生姜正在播种，而新季大蒜即将迎来收获，目前河南等主产区生产情况怎样？未来全国大蒜价格的走势又将如何呢？ 河南郑州中牟县是大蒜主要产区，常年种植面积保持在20万亩以上。今年种植的早熟蒜有6万亩左右，即将在“五一”前后收获上市。 种植户介绍，为了应对去冬今春遭遇的几场低温雨雪天气，当地农业农村部门派出农技指导组不间断查看大蒜长势，指导他们及时补水增肥。
D | 记者了解到，河南省中牟县常年大蒜总产量在30万吨以上。在早熟蒜“五一”前后上市后，晚熟蒜也将陆续上市。 据农业农村部专家团队调度分析，前期不利天气对于全国大蒜主产区影响有限。另外，由于去年蒜价偏高，导致种植户扩种。预计今年全国大蒜面积增加10%左右，后期大蒜价格或将以下降为主。
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