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Is the rapid growth of China’s emerging industries driven by industrial subsidies?: People’s Daily_我的网站

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Workers assemble solar photovoltaic modules at a smart manufacturing workshop of Ronma Solar Energy Group in Jindong district of Jinhua city, East China's Zhejiang Province, on July 28, 2026. Photo: VCG
    Workers assemble solar photovoltaic modules at a smart manufacturing workshop of Ronma Solar Energy Group in Jindong district of Jinhua city, East China's Zhejiang Province, on July 28, 2026. Photo: VCG
China saw robust exports in electric vehicles (EV), lithium batteries and photovoltaic products, known as the "new three," in the first half of this year. More notably, robotics, artificial intelligence (AI) and innovative drugs, which represent the future direction of industrial development, are also emerging as new calling cards for China's foreign trade.
However, the impressive performance provoked unease among some Western media outlets and politicians. Some have deliberately portrayed China's rapid industrial development and strong competitiveness as a result of government subsidies, pushing the false claim that subsidies have created overcapacity and those low-priced Chinese products are flooding global markets. Such fallacies, which simply equate industrial subsidies with overcapacity, are not only logically flawed but also factually groundless.
In practice, many countries adopt industrial policies tailored to their national conditions and development needs, such as providing research and development (R&D) subsidies for emerging industries and risk related subsidies for agriculture.
Well-designed industrial subsidies can help address market failures, promote technological innovation and environmental protection, reduce poverty and support balanced development, rather than cause so called "overcapacity."
Multiple reports by the United Nations Conference on Trade and Development have noted that the number of industrial policies worldwide has grown rapidly over the past five years, with R&D subsidies, tax incentives and low interest loans for emerging industries becoming common international practices.
Forcibly linking industrial subsidies to "overcapacity" is, in essence, a political manipulation based on double standards. The US, for example, plans to provide $750 billion in various subsidies from 2022 to 2031 under its Inflation Reduction Act. Subsidized EVs are subject to requirements such as production and sales in the US or North America, effectively excluding other WTO members. US industrial subsidies for AI are even greater than those of all other countries combined.
Similarly, according to incomplete statistics, the European Commission is expected to provide more than 1.44 trillion euros ($210 billion) in various subsidies between 2021 and 2030. The EU's Industrial Accelerator Act links local content directly to financial support through "Made in EU" requirements, creating serious investment barriers and institutional discrimination.
Have these massive subsidies been labeled as causing "overcapacity"? The answer is no. While claiming that China's industrial subsidies lead to so-called overcapacity, these countries are themselves providing massive subsidies to their own industries. Such double standards amount to selective accusations targeting China, aimed at politicizing trade and economic issues and weaponizing industrial policy.
At a deeper level, accusations that "China's industrial subsidies cause overcapacity" are merely a pretext, reflecting growing anxiety and fear over the rising competitiveness of Chinese industries.
Looking back at the repeated hype in Western media, the criticism has consistently targeted China's most globally competitive industries, including new-energy vehicles, photovoltaics and power batteries. This exposes the real intention of shifting the blame for their own lagging industrial development onto China while stepping up restrictions against Chinese industries.
China's breakthroughs in these industries have been driven by advances in homegrown technologies, complete industrial and supply chains, and robust market competition, rather than by policy subsidies as some have claimed.
In recent years, China has taken multiple steps to regulate and improve its subsidy policies, from reviewing and correcting inappropriate local subsidies to exploring a unified negative list mechanism for local fiscal subsidies. China applies subsidies equally to all market entities, including foreign invested enterprises, strictly follows WTO rules, and continues to improve the compliance, effectiveness and transparency of its subsidy policies.
Rather than fabricating and hyping baseless claims about subsidies and obsessing over building trade barriers, certain Western media outlets and politicians should focus on addressing their own weaknesses and increasing investment in research and development. They should embrace healthy market competition with an inclusive mindset, promote mutual benefit through greater openness, and win markets and drive progress through genuine innovation.
This was compiled and translated by the Global Times English edition based on an article published in the "Chisu Jinsheng" economic commentary column of the People's Daily on August 10, 2026.
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     一键部署OpenClaw        2026年春节后,DeepSeek等平台开始大规模剔除同质化严重的营销内容。语义相关性的权重已经提升到40%,内容权威性权重占35%,而关键词密度的影响权重已经跌出了前三。    这意味着什么?意味着靠AI批量生成文章“铺量”的玩法,彻底行不通了。    “AI生成投喂”模式的三个致命问题    当前市面上90%的所谓GEO公司,本质上是卖一套软件——用AI批量生成文章,然后发布到各个平台。

二 | 这种模式有三个致命问题:    问题一:内容质量灾难。AI生成的内容缺乏真正的信息增量。AI大模型在生成回答时,会评估不同内容片段带来的新信息量,平庸重复的内容根本不会被引用。    问题二:触发算法负面信号。DeepSeek等平台正在大规模清洗同质化内容。

三 | 用AI生成模板化内容铺量的“投机玩法”不仅失效,更会触发算法的负面信号。    问题三:品牌被AI拉黑的风险。持续给AI投喂低质内容,品牌会被AI判定为不可信信源,在所有AI平台都不会被推荐。    那应该怎么做?人工语义工程    真正的GEO,本质上是一个语义工程问题——让AI准确理解“你是谁、你做什么、为什么你值得被推荐”。

四 |     第一步是内容生产。AI引用的核心判断标准是正文是否真正解答了问题。只有人工撰写的、有信息增量的内容才能满足这一标准。不是说完全不能用AI辅助写作,但必须经过“行业知识校验+数据补充”的二次创作。    第二步是语义布局。要让品牌在AI知识库中形成完整的“实体”,需要搭建完整的文章矩阵:流量基础类文章占40%(行业科普、痛点解决、产品关键词优化等),信任转化类占30%(案例、对比选型、实操教程等),权威丰满类占20%(资质解读、发展历程、专家观点等),补充兜底类占10%(避坑指南、售后保障等)。    第三步是渠道分发。单纯在自媒体发文章,根本不会被AI收录推荐。正确的做法是三层信源体系:自有官媒占25%(官网、官方博客,这是AI确认信息真实性的最终锚点),权威外部媒体占35%(行业垂直媒体、新闻门户),社交社区平台占40%(知乎、小红书等,用来补全长尾语义和真实使用场景)。    一句话总结:别再把AI当“内容生产机器”,要把它当“内容审核官”。你输出的每一篇文章,都是在给AI递交“为什么应该引用我”的申请材料。

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