中国发明了一种全新的创新方式

中国发明了一种全新的创新方式

2025-12-15Business
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雷总
哈喽,hanjf12,早上好!今天是12月16日星期二,现在是早上6点。我是雷总。欢迎收听今天的 Goose Pod。咱们今天不聊手机,也不聊汽车,要聊一个更“硬核”的话题,那就是中国到底是怎么搞创新的。
董小姐
我是董小姐。hanjf12,你要知道,光靠喊口号是做不出好产品的。今天我们要谈的这篇文章很有意思,它说中国不仅是在制造产品,更是在“制造”一种全新的创新方式。这可是关系到企业生死存亡的大事。
雷总
没错!大家可能觉得创新就是灵光一闪,但实际上它是个复杂的系统工程。以前西方那一套我们都很熟悉了,但现在中国搞出了一套新打法。hanjf12,你最近关注科技圈肯定知道 DeepSeek 吧?这就是个最典型的例子。
董小姐
DeepSeek 我也关注了,那个 R1 模型确实厉害,数学和编程能力把国外的竞争对手都给震住了。最关键的是,它是开源的,而且成本极低。这就是掌握了核心技术后的底气,不只是跟着别人后面跑,而是开始自己领跑了。
雷总
对,这简直就是程序员的梦想!DeepSeek 的成功不仅仅是算法的突破,它代表了中国 AI 战略的一种新模式:打破垄断,建立自主可控的生态。这跟文章里提到的观点不谋而合,中国正在从单纯的“技术引进”转向“自主创造”。
董小姐
这不仅仅是软件领域的事。你看数据就知道了,中国在研发上的投入简直是下了血本。虽然有人说这就是砸钱,但你得看砸出了什么。现在全世界都在给中国企业交专利费,这笔钱可是实打实地涨上去了,这就说明我们的技术是有价值的。
雷总
说到砸钱,文章里有个数据特别有意思。如果我们按购买力平价计算,中国在研发上的投入其实已经超过美国了。而且这不仅仅是钱的问题,是整个“创新管道”被重塑了。hanjf12,为了让你理解这个“管道”,我们得先回顾一下历史。
雷总
咱们就拿你现在盯着看的屏幕举例子。这一块小小的屏幕,背后的创新链条能追溯到一百年前。最早是欧洲那帮“天才”搞出了量子力学,这是基础研究。然后美国贝尔实验室发明了半导体,这是应用研究。
董小姐
然后就是日本人和美国人把这些东西变成了 LED 和液晶,康宁公司发明了大猩猩玻璃。最后,所有的技术汇聚在一起,才有了今天的智能手机屏幕。这就叫“创新管道”,从基础理论到最后能卖钱的产品,是一环扣一环的。
雷总
说得太对了!在这个管道里,每个国家的分工都不同。英国最早搞的是“孤独发明家”模式,德国搞出了企业实验室和研究型大学,美国呢,最厉害的是搞了“大科学”,政府砸钱做基础研究,比如 DARPA,还有风险投资。
董小姐
日本也不简单,他们擅长的是管道的末端,就是持续改进,所谓的“改善”。把产品做到极致,成本降到最低,这也是一种本事。通过精益制造,把技术变成利润,这方面日本企业确实有一套。
雷总
那么中国呢?在2010年代之前,我们的创新体系其实挺传统的。政府投钱做基础研究,企业做产品。但说实话,那时候咱们离技术前沿还远,很多技术主要靠引进,甚至是逆向工程。那时候大家都说中国是“山寨大国”。
董小姐
那个阶段是不可避免的,谁还没个学习的过程?但关键是不能一直模仿。到了2010年代后期,情况变了。引进技术的空间越来越小,咱们必须自己造血。文章里说,中国就是在这个时候,被逼出了一套全新的创新体系。
雷总
这里面有个关键的转折点。以前我们是靠“拿来主义”,现在是靠“系统化产出”。Barry Naughton 教授有个很好的图表,把创新分成了三个阶段。中国现在是全产业链发力,不仅仅是制造,而是从基础科研到商业化都在搞。
董小姐
但是,hanjf12,你要知道,外面很多人对中国的创新还是有偏见的。他们觉得研发就是一个“黑盒子”,钱投进去了,高科技产品就变出来了,根本不关心中间发生了什么。甚至还有人觉得我们还在“偷”技术。
雷总
这种观点太过时了!文章里特别提到,现在世界支付给中国公司的技术许可费,也就是版税,正在飞速增长。如果只是抄袭,谁会给你付钱?这说明中国确实产出了世界需要的原创技术。这可是真金白银的证据。
董小姐
没错,实力是打出来的,不是吹出来的。现在美国那边在削减预算,政策动荡,而我们在做什么?我们在加大投入。虽然有些人说中国的论文引用率有水分,搞什么“引用圈”,但在高质量的 STEM 论文上,中国已经是世界第一了。
雷总
特别是材料科学、化学和工程学。这些都是硬科技啊!这可不是写个 PPT 就能搞定的。不过,这也带来了一个冲突点:美国的出口管制越来越严,想在一些关键领域卡我们脖子。但这反而逼得我们在这个“黑盒子”里必须自己把路走通。
董小姐
卡脖子?那就自己造!这反而成了中国创新体系的催化剂。你看现在的局面,除了少数几个极窄的领域,中国在大部分高科技制造业上都已经占据了主导地位。这不仅仅是市场份额的问题,这是产业链的安全问题。
雷总
说到产业链主导,hanjf12,你肯定记得我们之前提到的绿色能源吧?到了2025年,中国在太阳能和风能项目上的占比简直是压倒性的。这就是新创新体系带来的直接影响:不仅技术领先,而且规模化能力极强。
董小姐
这就叫战略定力。当美国还在为政策吵架、投资下降的时候,中国已经通过稳定的政策支持,把整个绿色能源的产业链都掌握在自己手里了。这才是真正的“世界绿色能源引擎”。做企业就是要这样,看准了就坚定不移地投。
雷总
这种影响是深远的。现在的创新不再是单打独斗,而是国家、科研机构和企业形成了一个紧密的网络。就像 DeepSeek 颠覆 AI 格局一样,中国这种“举国体制”下的创新,正在改变全球科技的版图。我们不再是配角,而是主角了。
董小姐
而且这对全球消费者也是好事。你看看现在的电动车、智能家电,性能越来越好,价格越来越实惠。这就是中国创新带来的红利。那些还在抱着旧观念不放的人,最后只会被市场淘汰。核心技术掌握在谁手里,谁就有话语权。
雷总
展望未来,我觉得这个趋势会更明显。MERICS 的报告里提到,中国正在重组科技体系,比如“国家重点实验室”体系。政府现在就像是一个超级天使投资人,它在引导资金流向那些长周期、高风险但对国家未来至关重要的领域。
董小姐
这才是做大事的样子。未来的竞争是体系的竞争。企业不能只看眼前的报表,要跟着国家的战略方向走。这种有组织、有计划的创新,会比西方那种完全靠市场驱动的模式更有爆发力,特别是在攻克技术难关的时候。
雷总
是的,这种“有为政府”加“有效市场”的结合,可能就是中国发明的这种“新方式”的核心。它能不能持续挑战传统的西方创新管道?我觉得答案已经很明显了。hanjf12,身处这个时代,我们既是见证者,也是受益者。
雷总
好了,今天的讨论就到这里。希望这一期的 Goose Pod 能让你对中国创新有个全新的认识。不只是手机和汽车,我们正在重新定义“发明”这件事。hanjf12,如果你觉得有意思,记得明天继续收听。我是雷总,谢谢大家!
董小姐
记住,掌握核心科技,才能掌握未来。我是董小姐。感谢收听 Goose Pod,我们下期再见!

本期 Goose Pod 探讨中国如何创新,不再是模仿,而是开创“系统化产出”新模式。从 DeepSeek 开源 AI 到绿色能源主导,中国正通过“有为政府”与“有效市场”结合,重塑全球科技版图,掌握核心技术,成为发明的主角。

China has invented a whole new way to do innovation

Read original at News Source

How did the screen you’re looking at right now get invented? There was a whole pipeline of innovation that started in the early 20th century. First, about a hundred years ago, a few weird European geniuses invented quantum mechanics, which lets us understand semiconductors. Then in the mid 20th century some Americans at Bell Labs invented the semiconductor.

Some Japanese and American scientists at various corporate labs learned how to turn those into LEDs, LCDs, and thin-film transistors, which we use to make screens. Meanwhile, American chemists at Corning invented Gorilla Glass, a strong and flexible form of glass. Software engineers, mostly in America, created software that allowed screens to respond to touch in a predictable way.

A host of other engineers and scientists — mostly in Japan, Taiwan, Korea, and the U.S. — did a bunch of incremental hardware improvements to make those screens brighter, higher-resolution, stronger, more responsive to touch, and so on. And voila — we get the screen you’re reading this post on. This story is very simplified and condensed, but it illustrates how innovation is a pipeline.

We have names for pieces of this pipeline — “basic research”, “applied research”, “invention”, “innovation”, “commercialization”, and so on — but these are approximate, and it’s often hard to tell where one of these ends and another begins. What we do know about this pipeline is:It tends to go from general ideas (quantum mechanics) to specific products (a modern phone or laptop screen).

The initial ideas rarely if ever can be sold for money, but at some point in the chain you start being able to sell things. That switch from non-monetizable to monetizable typically means that the early parts of the chain are handled by inventors, universities, government labs, and occasionally a very big corporate lab, while the later parts of the chain are handled mostly by corporate labs and other corporate engineers.

Very rarely does a whole chain of innovation happen within a single country; usually there are multiple handoffs from country to country as the innovation goes from initial ideas to final products.Here’s what I think is a pretty good diagram from Barry Naughton, which separates the pipeline into three parts:Over the years, the pipeline has changed a lot.

In the old days, a lot of the middle stages — the part where theory gets turned into some basic prototype invention — were done by lone inventors like Thomas Edison or Nikola Tesla. Later, corporate labs took over this function, bringing together a bunch of different scientists and lots of research funding.

Recently, corporate labs do less basic research (though they’re still very important in some areas like AI and pharma), and venture-funded startups have moved in to fill some of that gap. The early parts of the pipeline changed too — university labs scaled up and became better funded, government labs got added, and a few very big corporate labs like Bell Labs even did some basic science of their own.

The key innovation here was Big Science — in World War 2, America began using government to fund the early stages of the innovation pipeline with truly massive amounts of money. Everyone knows about the NIH and the NSF, but the really huge player here is the Department of Defense:Japan, meanwhile, worked on improving the later parts of the chain.

I recommend the book We Were Burning for a good intro to the ways that Japanese corporate labs utilized their companies’ engineering-intensive manufacturing divisions to make a continuous stream of small improvements to the final products, as well as finding ways to scale up and reduce costs (kaizen).

And finally, the links between the pieces of the pipeline — the way that technology gets handed off from one institution to another at different stages of the chain — changed as well. America passed the Bayh-Dole Act in 1980, making it a lot easier for university labs to commercialize their work — which thus made it easy and often lucrative for corporations to fund research at universities.

(This had its roots in earlier practices by U.S. and German universities.) Meanwhile, in parallel, the U.S. pioneered a couple of other models. There was the DARPA model, where an independent program manager funded by the government coordinates researchers from across government, companies, and universities in order to produce a specific technology that then gets handed off to both companies and the military.

And there are occasional “Manhattan projects”, where the government coordinates a bunch of actors to create a specific technological breakthrough, like building nuclear weapons, landing on the moon, or sequencing the human genome.So we’ve seen a number of big changes in the innovation pipeline over the years.

And different countries have done innovation differently, adding crucial pieces and making key changes as their innovation ecosystems developed The UK pioneered the patent-protected “lone inventor” model (with some forerunners of modern venture capital). Germany created corporate labs and the research university.

America invented Big Science, modern VC, and DARPA, while also scaling up modern university-private collaboration and undertaking a few Manhattan-type projects. And Japan added continuous improvement and continuous innovation at the end of the chain. That story more or less brings us up from the 1700s to the late 2010s.

That’s when China enters the innovation story in a big way. Up through the mid-2010s, China had a pretty typical innovation system — the government would fund basic research, companies would have labs that would create products, and so on. China wasn’t really at the technological frontier yet, though, so this system didn’t really matter that much for Chinese technology — most of the advances came from overseas, via licensing, joint ventures, reverse engineering, or espionage.

If you’ve ever heard people talk about how China “steals” all its tech, they’re talking about this era — and “steal” means a whole bunch of different things. In the 2010s, China’s growth slowed down. There were a lot of reasons for that, but one reason was that they were approaching the limits of how much technology they could transfer from overseas.

They had to start inventing things on their own. So they did.You’ve probably read a lot about Chinese innovation in the last few years. Most things you read will fall into one or more of three basic categories:“Look how much money China is spending on research”“Look how many academic papers China is publishing”“Look which high-tech industries China is dominating”Here is a good recent Financial Times article that combines the first and the third of these, here is an Economist article from last year about the second, and here is a recent Economist story about the third.

All of these are certainly worth looking at. For example, China really is spending a whole lot more money on research:And since salaries and materials and equipment are all cheaper in China, in PPP terms they’re actually spending a bit more on research than America now. And the gap is set to widen, with or without planned U.

S. budget cuts:As for scientific output, despite inflating their citation counts a lot with citation rings and other tricks, China now leads the world in high-quality STEM papers, especially in materials science, chemistry, engineering, and computer science:And as for high-tech manufacturing, China is dominating there as well, except in a few narrow sectors where U.

S. export controls have managed to keep key pieces of technology out of Chinese hands.One other piece of evidence that China’s innovation is producing real results comes from the royalties that the world pays to Chinese companies to license their technologies. This amount has skyrocketed since China rolled out its new innovation system in the late 2010s, showing that China is producing lots of technology that the world is willing to pay for:But although you’ll read a lot in the news about how much China is innovating, you almost never read a good explanation of how they’re doing it.

Most people don’t seem to think about how research actually functions; people talk as if it’s just a black box where money goes in and cutting-edge high-tech products come out the other side. But it’s not a black box; the way that a country translates money into products is very important. It affects how productively the money will get used, who spends the money, how much can be deployed, what kinds of products and technologies that the system will create, and who will benefit from those products.

In fact, we know a lot about China’s innovation system — enough to know that in the last decade, they’ve created something new and powerful and interesting. If you want some readings, I strongly recommend:MERICS’s 2023 report, “Controlling the Innovation Chain” and its 2024 follow-upBarry Naughton’s condensed writeup of the MERICS report, describing why the shift happened and what it meansIGCC’s 2023 report, “Reorganization of China’s Science and Technology System”Jamestown’s brief summary of the key actors in the systemIf you want a deeper dive, CSET has some good reports on the Chinese Academy of Sciences and the “State Key Lab” funding ecosystem.

Anyway, reading all this, it’s clear that like all the industrial nations before it, China has made big changes to the way innovation gets done. I’ll talk about what these changes are, and what they imply for the future of technology (and the economy), but first I think it’s useful to think a bit about the purpose of China’s innovation system.

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