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企业破产法修订草案将二审 发挥重整制度挽救困境企业功能_我的网站

一 |     中新社北京8月21日电 (记者 郭超凯)企业破产法修订草案二次审议稿将提请十四届全国人大常委会第二十四次会议审议。全国人大常委会法工委发言人黄海华21日在记者会上表示，草案二审稿充分发挥重整制度挽救困境企业的功能，明确重整前协商的方式、程序并与重整程序衔接，完善重整计划草案表决及批准制度。

二 |                         　　2025年9月，十四届全国人大常委会第十七次会议对企业破产法修订草案进行了初次审议。黄海华在记者会上介绍，根据各方面意见，二次审议稿拟作以下主要修改：一是明确在破产申请审查期间，人民法院可以决定临时中止有关债务人财产的执行程序；二是完善破产管理人范围的规定；三是充分发挥重整制度挽救困境企业的功能，明确重整前协商的方式、程序并与重整程序衔接，完善重整计划草案表决及批准制度；四是调整优化关于破产财产清偿顺位的规定；五是完善跨国破产制度，完善中国法院对跨国破产案件管辖权等规定；六是细化完善连带个人债务人债务清理相关制度，维护债权人、债务人的合法权益。

三 |          　　谈及企业破产法修订草案如何更好发挥重整挽救困境企业的功能，黄海华表示，企业破产法修订草案在现行法规定的重整制度基础上，总结实践经验，借鉴其他国家有益经验，主要在以下几个方面作了完善：明确临时保护制度，保障包括重整程序在内的破产程序顺利进行；完善重整申请制度，明确债权人、债务人等相关当事人既可以直接申请重整，也可以在破产宣告前提出重整申请，并规定了人民法院审查重整申请时的听证制度；加强重整信息披露，要求债务人或者管理人及时向相关当事人披露参与重整程序所必需的信息，信息披露应当真实、准确、完整；规范重整投资人招募，明确除债权人会议另有决议外，重整投资人实行公开招募；完善关于重整计划草案表决及批准的规定，充分保障债权人、出资人等当事人在重整中的合法权益；增加关于重整前协商的规定，明确重整前协商包括当事人达成重整协议和制定初步重整计划草案预先表决两种方式，并明确两种方式进入重整程序的法律后果，做好与重整程序的衔接。(完) 【编辑:万纪玮】。

四 |     

    Rescuers emerge from the mine after more than 10 hours of underground search operations at the Liushenyu coal mine in Changzhi, North China's Shanxi Province on May 23, 2026. Photo: Xinhua
China is stepping up the intelligent transformation of its high-risk coal mines, as the country's top economic planner and energy regulator rolled out a new development plan during the 15th Five-Year Plan (2026-30) period that calls for greater use of artificial intelligence (AI) and robots in hazardous underground operations.
The National Development and Reform Commission and the National Energy Administration (NEA) on Monday announced a plan that emphasizes the need to strengthen coal's role as a foundational and balancing pillar in China's energy supply system while accelerating high-quality development in the sector, according to the NEA's website.
According to the plan, China will deepen its "AI Plus" initiative in the coal industry by collecting and integrating AI-related data and expanding the use of AI across key scenarios such as exploration and design, construction and production, operation and maintenance, and safety management. 
The plan also calls for faster development of specialized large-language AI models for the coal sector, with breakthroughs needed in intelligent perception, autonomous decision-making and intelligent control. It also emphasizes the need to establish a number of pilot coal mines for the integrated application of AI, and improvements in coal mine safety.
The plan specifically targets intelligent upgrades at disaster-prone mines and those that have experienced major accidents, pushing for robotic substitution at hazardous posts, according to the document. 
Industry observers said that the move signals a shift in China's coal mine automation efforts from pilot projects to large-scale deployment. High-risk tasks such as tunneling, inspection, rescue, roof support and blasting are emerging as priority areas for substitution by robots.
Hangzhou-based DEEP Robotics has been focusing on the use of quadruped robots for mine inspections and emergency rescue. In May, the company worked with the Zhejiang Provincial Emergency Management Department and other agencies to unveil its embodied intelligent equipment and conducted a live reconnaissance and rescue drill in a mine tunnel in Changshan, East China's Zhejiang Province, the company told the Global Times on Monday.
Using DEEP Robotics' Lynx M20 wheeled-legged robot as its mobile platform, it innovatively integrates large-language models and an onboard platform, and is equipped with a dual-spectrum pod, 5G module, edge computing unit, and other equipment. 
Meanwhile, Lingbao CASBOT has formed a joint venture, to focus on the research and application of embodied intelligence robots for underground mining, according to the Beijing Daily. The company has since become involved in key processes such as rock drilling, blasting charge loading and support installation.
Such AI-powered equipment could significantly improve mine disaster warning and emergency response capabilities, helping mines transition to "less-manned" and "unmanned" operations and reducing human workers' exposure to danger, Lin Boqiang, director of the China Center for Energy Economics Research at Xiamen University, told the Global Times on Monday.
Lin said that robots have a clear advantage in dangerous tasks such as patrol inspections in 50 C deep shafts, gas leak detection, and heavy lifting. "For robots, these are exactly the jobs they should be taking on," he said.
Market research firm Zhiyan Consulting estimated that the market for mining robots grew to 2.85 billion yuan ($42.24 million) in 2025.
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Published on:09:44:46