《 人民日报 》（ 2025年10月06日 04 版） (责编：岳弘彬、牛镛) "十四五"时期，我国生态文明建设取得重大成就。生态优先、绿色发展的步子，越走越坚实，越走越宽 广。 机制创新，健全生态文明制度体系。"十四五"以来，我国生态环境治理体系现代化水平显著提升，环境 治理法律体系更加完备，生态产品价值实现机制取得突破……最严格的制度、最严密的法治，为绿水青 山保驾护航，让生态文明建设有法可依、有规可循。 建设生态文明，关系人民福祉，关乎民族未来。新征程上，我们要继续坚定不移走生产发展、生活富 裕、生态良好的文明发展道路，推动生态文明建设实现新进步、不断绘就美丽中国新画卷。 系统推进，探索生态治理新路径。"十四五"时期，我国坚持山水林田湖草沙一体化保护和系统治理，构 建以国家公园为主体的自然保护地体系；"三北"工程攻坚战取得阶段性成效，重点治理区实现从"沙进 人退"到"绿进沙退"的历史性转变；森林覆盖率达25.09%，森林面积和蓄积量持续"双增长"；大江大河 治理成效显著，生物多样性不断提升…… 结构转型，培育绿色发展新动能。如今，我国产业结构绿色低碳转型加速推进。非化石能源消费比重提 高，风电、光伏发电 ...

Core Viewpoint - The government emphasizes the development of new quality productivity and the construction of a modern industrial system, highlighting that green development is fundamental to high-quality growth and that new quality productivity is inherently green productivity [1] Group 1: Efficiency Improvement - Digital intelligence technology significantly enhances the efficiency of energy and resource utilization, addressing the challenge of limited natural resources against infinite human demands [2] - AI plays a crucial role in digital intelligence technology, enabling self-learning and adaptive capabilities to respond effectively to complex production scenarios [2] - Data-driven decision-making mechanisms transform traditional management into dynamic optimization, improving energy conversion efficiency and resource recycling levels [2] Group 2: Green Low-Carbon Industrial Transformation - Digital intelligence technology serves as a transformative tool for traditional industries, facilitating a paradigm shift through a process of deconstruction, reorganization, and regeneration [3] - The integration of green development theories into every aspect of traditional industries promotes their transition to low-carbon practices while supporting the advancement of emerging industries [3] - Emphasis on innovation in key areas and the application of advanced technologies is essential for accelerating the green low-carbon optimization of industrial structures [3] Group 3: Precision and Transparency in Environmental Governance - Traditional environmental governance faces challenges due to fragmented data and delayed responses, while digital intelligence technology enables comprehensive monitoring systems [4] - The integration of satellite, drone, and ground-based monitoring enhances the precision and transparency of environmental governance, allowing for real-time data collection and pollution tracking [4] - Establishing a data-sharing system through digital intelligence technology fosters collaboration among government, enterprises, and the public, significantly improving environmental governance [4]