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前三季度，江苏制造业销售收入同比增长4.9% 教育部：严禁将手机等电子产品带入课堂
Sou Hu Cai Jing·2025-10-25 00:43

Economic Performance - In Jiangsu province, manufacturing sales revenue increased by 4.9% year-on-year in the first three quarters, accounting for 44.1% of total sales revenue, which is a 0.9 percentage point increase from the previous year, providing significant support for economic growth [1] - From January to August, the main policies supporting the manufacturing sector, including tax reductions and refunds, amounted to 182.5 billion yuan [1] Stock Market - On October 24, the stock market experienced a rebound, with the Shanghai Composite Index reaching a new high for the year, and the ChiNext Index leading the gains [4] - The total trading volume in the Shanghai and Shenzhen markets reached 1.97 trillion yuan, an increase of 330.3 billion yuan compared to the previous trading day [4] - By the market close, the Shanghai Composite Index rose by 0.71%, the Shenzhen Component Index increased by 2.02%, and the ChiNext Index surged by 3.57% [4] Industrial Development - The Ministry of Industry and Information Technology announced the seventh batch of national industrial heritage, with 32 sites including Yixing Qianshu Longyao from Jiangsu being recognized, expanding the province's industrial heritage "national team" [5] - The China Machinery Industry Federation reported that the added value of the machinery industry above designated size grew by 8.7% year-on-year in the first three quarters, outperforming the national industrial growth rate by 2.5 percentage points [6] - The automotive and electrical machinery sectors saw growth rates of 11.2% and 11.1%, respectively [6] Corporate Developments - Morgan Stanley will allow Bitcoin and Ethereum to be used as collateral for cryptocurrency [7] - Wedbush Securities analyst Dan Ives is optimistic about Tesla's future in artificial intelligence, autonomous driving, and robotics, predicting that Tesla's robots will enter households within the next two to three years [7] - NVIDIA announced a partnership with Uber to develop autonomous driving technology, utilizing Uber's extensive real-world driving data to train NVIDIA's Cosmos World foundational model [7]