【英语中国】中国的“机器人革命” China’s robot revolution

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2016-5-10 20:18

小艾摘要: The Ying Ao sink foundry in southern China’s Guangdong province does not look like a factory of the future. The sign over the entrance is faded; inside, the floor is greasy with patches of mud, and a ...
China’s robot revolution
The Ying Ao sink foundry in southern China’s Guangdong province does not look like a factory of the future. The sign over the entrance is faded; inside, the floor is greasy with patches of mud, and a thick metal dust — the by-product of the stainless-steel polishing process — clogs the air. As workers haul trolleys across the factory floor, the cavernous, shed-like building reverberates with a loud clanging.

Guangdong is the growth engine of China’s manufacturing industry, generating $615bn in exports last year — more than a quarter of the country’s total. In this part of the province, the standard wage for workers is about Rmb4,000 ($600) per month. Ying Ao, which manufactures sinks destined for the kitchens of Europe and the US, has to pay double that, according to deputy manager Chen Conghan, because conditions in the factory are so unpleasant. So, four years ago, the company started buying machines to replace the ever more costly humans.

Nine robots now do the job of 140 full-time workers. Robotic arms pick up sinks from a pile, buff them until they gleam and then deposit them on a self-driving trolley that takes them to a computer-linked camera for a final quality check.

The company, which exports 1,500 sinks a day, spent more than $3m on the robots. “These machines are cheaper, more precise and more reliable than people,” says Chen. “I’ve never had a whole batch ruined by robots. I look forward to replacing more humans in future,” he adds, with a wry smile.

Across the manufacturing belt that hugs China’s southern coastline, thousands of factories like Chen’s are turning to automation in a government-backed, robot-driven industrial revolution the likes of which the world has never seen. Since 2013, China has bought more industrial robots each year than any other country, including high-tech manufacturing giants such as Germany, Japan and South Korea. By the end of this year, China will overtake Japan to be the world’s biggest operator of industrial robots, according to the International Federation of Robotics (IFR), an industry lobby group. The pace of disruption in China is “unique in the history of robots,” says Gudrun Litzenberger, general secretary of the IFR, which is based in Germany, home to some of the world’s leading industrial-robot makers.

China’s technological transformation still has far to go — the country has just 36 robots per 10,000 manufacturing workers, compared with 292 in Germany, 314 in Japan and 478 in South Korea. But it is already changing the face of the global manufacturing industry. In the process, it is raising broader questions: can emerging economies still hope to follow the traditional route to prosperity that the developed world has relied upon since Britain’s industrial revolution in the 18th century? Or will robots assume many of the jobs that once pulled hundreds of millions out of poverty?


China’s spending splurge on industrial robots has its roots in a pressing economic problem. From the 1980s onwards, as Beijing’s Communist rulers opened up to global trade, the country’s huge, cheap workforce helped make it the world’s biggest exporter of manufactured goods. Breakneck economic growth lifted hundreds of millions of Chinese out of poverty and transformed swaths of the country, as workers migrated from the countryside to the city. But a growing middle class and an ageing population have led to rising wages, eroding China’s competitive advantage. Partly because of the one-child policy, formally phased out in 2015, China’s working-age population is expected to fall from one billion people last year to 960 million in 2030, and 800 million by 2050.

In recent years, China’s central planners have been promoting automation as a way to fill the labour gap. They have promised generous subsidies — to be doled out by local governments — to smooth the way for Chinese companies both to use and build robots. In 2014, President Xi Jinping called for a “robot revolution” that would transform first China, and then the world. “Our country will be the biggest market for robots,” he said in a speech to the Chinese Academy of Sciences, “but can our technology and manufacturing capacity cope with the competition? Not only do we need to upgrade our robots, we also need to capture markets in many places.”

The march of the machines, not just in China but around the world, has been accelerated by sharp falls in the price of industrial robots and a steady increase in their capabilities. Boston Consulting Group, a management consultancy, predicts that the price of industrial robots and their enabling software will drop by 20 per cent over the next decade, while their performance will improve by 5 per cent each year.

Liu Hui, an entrepreneur in his forties, is making the most of China’s robot boom. In 2001, when he opened his first factory in Foshan, an industrial city of seven million people in Guangdong, he started out making knock-offs of electric fans. As his business grew, he moved to bona fide manufacturing, producing components for Chinese home appliance brands. Then, in 2012, spotting an opportunity in a growing market, he jumped into the emerging world of robotics. Liu now imports robotic arms from suppliers such as the Swedish-Swiss conglomerate ABB, and sells them on to Chinese manufacturers, helping them integrate the machines into their production lines. It is a highly specialised business. Most of his customers are component-makers who supply motors and other parts to large Chinese home-appliance brands such as Midea and Galanz, which produce air conditioners, refrigerators and more.

Business has expanded so quickly in the past year that Liu does not have enough space in his factory for all the machinery he is assembling. He has to store parts designed to support a $23,000 ABB robot under a makeshift lean-to outside. “Things are changing rapidly,” he says. “The cost of labour is rising every year, and young people don’t want to work on the production line like their parents did, so we need machines to replace them.”

The stereotypical image of China’s factories can still be found in many places: tens of thousands of people in long lines hunched over sewing machines or slotting components into a printed circuit board. But that mode of manufacturing is starting to be replaced by a more mixed picture: partially automated production lines, with human workers interspersed at a few key points.

Meanwhile, China is developing its own robot makers. In September last year, Ningbo Techmation, a Shanghai-listed producer of machinery for the plastics industry, launched a subsidiary, E-Deodar, making robots that are 20-30 per cent cheaper than those produced by international companies such as ABB, Germany’s Kuka or Japan’s Kawasaki. The E-Deodar factory in Foshan, with its café, chill-out zone and open-plan production line, looks more like the offices of a Silicon Valley tech start-up than a Chinese industrial workhorse. “Our global rivals are very good at making robots but their costs are higher and they are not so good at understanding the needs of local customers,” says Zhang Honglei, the company’s 35-year-old, spiky-haired technical director.

This year, Zhang plans to produce 350 distinctively green-coloured robots, which are designed for use in plastic factories and sell for between $14,000 and $18,000 each; in three years’ time he hopes to produce 3,000 a year. “We have to move fast because automation is a scale business,” he says. “The bigger the better.”

Chinese manufacturers, which bought 66,000 of the 240,000 industrial robots sold globally last year, still largely prefer to buy international brands, according to Litzenberger of the IFR. But she expects that to change, particularly in the wake of the Beijing government throwing its full support behind the domestic robot industry in recent years. “They are developing very fast,” she says.

At an imposing, colonnade-fronted government building — known locally as the “White House” — in the Shunde district of Foshan, officials are trying to put President Xi’s call for a robot revolution into practice. The province of Guangdong has vowed to invest $8bn between 2015 and 2017 on automation. Zhang Peng, vice-director of Shunde’s economy and technology bureau, recently had his office in the building reduced in size, in line with the Communist party’s call for bureaucratic austerity. But the budget for industrial automation was unaffected. Zhang says robots are vital to overcome labour shortages and help Chinese companies make better quality, more competitive products. Unusually straight-talking for a Chinese official, he warns: “If manufacturing companies don’t improve, they won’t be able to survive.”


Government support for the integration of ever cheaper and more efficient industrial robots is good news for factory owners in China, who are facing a weak global economy and a slowdown in domestic demand. But the benefits of the robot revolution will not be shared equally across the world. Developing countries from India to Indonesia and Egypt to Ethiopia have long hoped to follow the example of China, as well as Japan, South Korea and Taiwan before them: stimulating job creation and economic growth by moving agricultural workers into low-cost factories to make goods for export. Yet the rise of automation means that industrialisation is likely to generate significantly fewer jobs for the next generation of emerging economies. “Today’s low-income countries will not have the same possibility of achieving rapid growth by shifting workers from farms to higher-paying factory jobs,” researchers from the US investment bank Citi and the University of Oxford concluded in a recent report, The Future Is Not What It Used to Be, on the impact of technological change.

They argue that China’s rising labour costs are a “silver lining” for the country because they are driving technological advancement, in much the same way that an increase in wages in 18th-century Britain provided impetus to the world’s first industrial revolution. At the same time, according to Johanna Chua, an economist at Citi in Hong Kong, industrial laggards in parts of Asia and Africa face a “race against the machines” as they struggle to create sufficient manufacturing jobs before they are wiped out by the gathering robot army in China and beyond.

Tom Lembong, Indonesia’s 45-year-old trade minister, and a leading voice for liberalisation and reform within the government of Southeast Asia’s biggest economy, is aware of the risks. “Many people don’t realise we’re seeing a quantum leap in robotics,” he says. “It’s a huge concern and we need to acknowledge the looming threat of this new industrial revolution. But as a political and business elite, we’re still stuck on debates about industrialisation that were settled in the 20th and even 19th centuries.”

Countries such as Indonesia are already suffering from something that the Harvard economist Dani Rodrik has dubbed “premature de-industrialisation”. This describes a trend where emerging economies see their manufacturing sector begin to shrink long before the countries have reached income levels comparable to the developed world. Despite rapid economic growth over the past 15 years, Indonesia saw its manufacturing industry’s share of the economy peak in 2002. Analysts believe this is partly because of a failure to invest in infrastructure, and the country’s uncompetitive trade and investment policy, and partly due to globalisation.

Rodrik believes the country will never be able to grow at the kind of rapid rate experienced by China or South Korea. “Traditionally, manufacturing required very few skills and employed a lot of people,” he says. “Because of automation, the skills required have increased significantly and many fewer people are employed to run factories. What do you do with these extra workers? They won’t turn into IT entrepreneurs or entertainers; and, if they become restaurant workers, they will be paid much less than in a factory.”

The spread of robots makes it much harder for developing countries to get on the “escalator” of economic growth, he argues. That is bad news for the estimated two million young people who enter the workforce every year in Indonesia, a nation of 255 million, where 40 per cent live on $3 a day or less. Mahami Jaya Lumbanraja, a 22-year-old job-seeker on the Indonesian industrial island of Batam, is feeling the effects of the premature de-industrialisation phenomenon. For seven months he has been looking for a factory job in Batam, which sits just 20 miles from prosperous Singapore, but he has had no luck. Wearing faded jeans, a grey hoodie and an endearing smile, Lumbanraja says that although he has one year of experience working for Shimano, the Japanese manufacturer of bicycle gears and fishing tackle, he is not experienced enough to secure anything more than an entry-level position, and that there are many more job hunters than openings. “I can survive on the little money I get from busking and helping friends with construction work but I must get a proper factory job to save enough money so I can set up my own small shop later,” he says. Wages in Batam — around $230 per month — are double what Lumbanraja could earn in his home city of Medan, on the island of Sumatra. So he feels he must stay until he finds work.

Lumbanraja is one of about 700 Indonesians in their late teens and early twenties who visit the community centre at the Batamindo industrial park every day looking for work. In February, 3,000 people applied in person for just 80 positions at a Japanese-owned wiring factory there, a gathering so large that executives initially feared it was a labour protest.

Batamindo is a joint venture between Singaporean and Indonesian investors that was backed by Presidents Lee Kuan Yew and Suharto — the two nations’ respective rulers — when it opened in 1990. Intended as the showpiece of Indonesia’s industrialisation strategy, it has become a symbol of everything that is wrong with it. In recent times, an average of five factories a year have left the industrial park for other countries and the number of people employed there has dropped to just 46,000, from a peak of 80,000 in 2000. That is despite the fact that wages today are between one-third and one-half of the level paid in China’s Guangdong province.

Lembong, a Harvard graduate who ran his own Singapore-based private equity firm before he was appointed trade minister in August, says the government is determined to tackle the twin problems at the heart of Indonesia’s economic malaise: weak infrastructure and over-regulation.

But some argue that reform will come too late. During its period of rapid industrialisation, China invested in the modern highways, railways and ports necessary to support its manufacturing sector. In contrast, the physical infrastructure in Batam and much of Indonesia has “not changed much since the 1970s,” says Mook Sooi Wah, general manager of Batamindo.

Indonesia actually had a slightly higher “robot density” than China when the latest figures were collated by the International Federation of Robotics in 2014, although the situation is likely to have changed dramatically since then given the pace of Beijing’s automation push. This anomaly was largely the result of China’s manufacturing workforce being so much bigger than that of Indonesia, which still has no government plan or backing for industrial automation.

Indonesia’s regulatory process is as fusty as its infrastructure. Recently, legitimate shipments from a paper factory were held by customs at the Batam port because of a rule meant to stop the export of illegally sourced wood. These problems leave even Batam’s boosters exasperated.

Stefan Roll, a German manufacturing veteran who worked in China during its industrial take-off in the 1990s, enjoys living and working in Indonesia. But he worries that the country is missing its “golden opportunity” to become efficient enough to compete on a global scale. “When you are dealing with multinationals, time is money,” Roll says as he shows off his new factory in Batam, which assembles coffee machines for Nestlé. “But you can only do just-in-time manufacturing if you have good roads and infrastructure.”

While few doubt the depth of the challenges facing developing countries, not everyone sees the dilemma in such bleak terms. With wages in countries such as Indonesia and India much lower than in China and their populations still relatively young, some analysts believe they can attract more labour-intensive industries, such as garment-making, where widespread automation is not yet suitable.

“As China moves up the industrial chain, it’s actually freeing up a lot of opportunities for Southeast Asia and India,” says Anderson Chow, a robotics industry analyst at the investment bank HSBC, in Hong Kong.

Hal Sirkin, an expert on manufacturing at Boston Consulting Group, says that from the perspective of an economy such as India’s, it does not make sense to automate now because it would drive up the price of goods — “when they have one billion people who can make things cheaply”. He is among the tech optimists who believe that, in the medium term, automation will also create new business niches for emerging economies, mitigating the damage from the jobs that will be eradicated.

“We think you’re going to see more localisation rather than more scale,” says Sirkin. “I can put up a plant, change the software and manufacture all sorts of things, not in the hundreds of millions but runs of five million or 10 million units.”

But Carl Frey, an expert on employment and technology at the University of Oxford, warns that without better education and more skills, developing countries will struggle to take advantage of advancements in manufacturing.

“Technology is becoming increasingly skill-based,” he says. “Many of these countries don’t have a skilled workforce so they’re not very good at adopting these technologies.”


China itself is not immune from the negative consequences of automation. More than 40 per cent of its 1.4 billion population still live in the countryside, many in poverty, having benefited only marginally from the urban economic miracle.

But the government is betting that the benefits of promoting cutting-edge manufacturing will outweigh the damage from the potential jobs lost. The industrial strategy announced by Beijing last year — known as Made in China 2025 — is designed not only to improve the technological capability of its factories but also to support the development of Chinese brands internationally.

Chow, the HSBC analyst, says that as Chinese companies try to increase their exports to alleviate the impact of the domestic slowdown, they are likely to focus more on the quality of their products: “Quite often part of that development is a better production process, involving robotics.”

Every year, the amount of time it takes for a company’s investment in a robot to pay off — known as the “payback period” — is narrowing sharply, making it more attractive for small Chinese companies and workshops to invest in automation. The payback period for a welding robot in the Chinese automotive industry, for instance, dropped from 5.3 years to 1.7 years between 2010 and 2015, according to calculations by analysts at Citi. By 2017, the payback period is forecast to shrink to just 1.3 years.

Automation is not just about putting cheaper and more efficient robot arms on the production line. Li Gan, the general manager of Shangpin Home Collection, which makes and sells customised home furniture, says the greater opportunity is to integrate robots on the factory floor with real-time data from customers and automated logistics systems.

Thanks to the use of robots, the factory that Shangpin opened in Foshan in 2014 was 40 per cent more productive than its previous plant, even though it employs 20 per cent fewer people. Later this year, it will start up the machines at its newest and biggest production base, where it hopes to improve productivity fourfold with just double the number of staff, by using more robots to move supplies around the factory floor and help pack outbound shipping containers.

Drilling wooden slats for the company’s diverse range of beds, wardrobes and other bespoke furniture used to be a painstaking and sometimes dangerous process. Now a worker simply picks up each piece of wood, scans a barcode and puts the wood on a conveyor belt that takes it to the robot arm. The finished product returns on another belt. The process in between is strikingly complicated: Shangpin had to design a device to make sure that each slat would be aligned in the right way for it to be grasped by the robot arm, and the drilling specifications for the slats have to be pre-programmed and recorded in a barcode, because the robots do not yet have any artificial intelligence capability. Li Gan points out that human oversight and decision-making is still crucial. “Automation is just a technical process but what is more important is our thinking about how best to do this,” he says. “Every time we change something, we ask: is it more effective to do this using humans or robots?”

Boston Consulting Group forecasts that the percentage of tasks handled by advanced robots will rise from 8 per cent today to 26 per cent by the end of the decade, driven by China, Germany, Japan, South Korea and the US, which together will account for 80 per cent of robot purchases. Sirkin at BCG says that the rapid expansion of automation could be compared to the difference between the “human learning curve” and Moore’s Law, which posited that computing power could double every 18 months to two years. “Even if you’re very good, humans can only double their productivity at best every 10 years,” he says. In contrast, researchers can push robots to double their productivity every four years, he estimates. “Compounded over time, that makes a big difference.”

As China and other industrial leaders build more and better robots, the tasks they can take on will expand. Butchery, for example, was long considered the sort of skill that machines would struggle to develop, because of the need for careful hand-eye co-ordination and the manipulation of non-uniform slabs of meat. But Sirkin has watched robots cut the fat off meat much more efficiently than humans, thanks to the use of cheaper and more responsive sensors. “It’s becoming economically feasible to use machines to do this because you save another 3 or 4 per cent of the meat — and that’s worth a lot on a production line, where you can move quickly.

“There are things that humans can do better than robots,” he adds. “But they are getting less and less.”

Ben Bland is the FT’s South China correspondent and a former Indonesia correspondent

Photographs by Zeng Han and Muhammad Fadli

位于中国广东省的樱奥厨具(Ying Ao)看起来并不像一家未来的工厂。厂门上方的招牌已经褪色;车间里,油腻的地板上有一滩一滩的淤泥,浓重的金属粉尘(不锈钢抛光工艺的副产品)让人喘不过气。工人们拉着手推车走过时,空洞的、车棚一般的厂房里回响着巨大的哐当声。




在整个中国南方沿海制造业地带,成千上万个与陈从汉所在工厂类似的厂家正在向自动化转型。这是一场政府支持的、由机器人带动的工业革命,其规模之浩大是世界从未见过的。自2013年以来,中国每年采购的工业机器人超过了其他任何国家,包括德国、日本和韩国等高科技制造业巨人。根据产业游说组织——国际机器人联合会(International Federation of Robotics,IFR)的说法,到今年底,中国将超过日本,成为全球运用工业机器人最多的国家。IFR总干事古德龙?利岑贝格尔(Gudrun Litzenberger)表示,中国颠覆性变化的速度是“机器人历史上独一无二的”。该组织的总部位于德国,这里是世界上一些顶尖工业机器人制造商的所在地。





近年中国的中央规划者一直在推动自动化,作为填补劳动力缺口的一条途径。他们承诺提供慷慨的补贴(由地方政府发放),为中国企业使用和建造机器人铺平道路。2014年,中国国家主席习近平呼吁掀起一场“机器人革命”,首先改变中国,进而改变世界。他在对中国科学院(Chinese Academy of Sciences)的一次讲话中表示:“我国将成为机器人的最大市场,但我们的技术和制造能力能不能应对这场竞争?我们不仅要把我国机器人水平提高上去,而且要尽可能多地占领市场。”

工业机器人价格大幅下降而能力稳步增加,加速了机器人在中国乃至世界各地的进军。管理咨询公司波士顿咨询集团(Boston Consulting Group)预计,未来10年,工业机器人及其配套软件的价格将下降20%,而它们的性能将以每年5%的幅度提升。






与此同时,中国正在扶持本土机器人制造商的发展。去年9月,在上海上市的塑料工业机械生产商宁波弘讯科技(Ningbo Techmation)创立了一家子公司——广东伊雪松机器人设备有限公司(E-Deodar),其生产的机器人比ABB、德国库卡(Kuka)或日本川崎重工(Kawasaki)等跨国公司的产品便宜20%至30%。伊雪松的工厂设在佛山,厂内有咖啡馆、放松区以及开放式生产线,看上去更像一家硅谷科技初创企业的办公室,而非传统的中国工厂。该公司35岁、头发竖起的技术总监张洪磊表示:“我们的全球竞争对手非常擅长制造机器人,但他们的成本较高,而且不是太懂本地客户的需求。”






中国政府对于在生产线上集成价格越来越低、效率越来越高的工业机器人的支持,对于面临全球经济疲弱和国内需求放缓的中国厂商来说是个好消息。但是,机器人革命的效益并不是全球平等共享的。从印度到印尼,从埃及到埃塞俄比亚,发展中国家长期以来一直希望效仿中国、以及更早实现经济起飞的日本、韩国和台湾:鼓励农业人口进入制造出口商品的低成本工厂,从而刺激就业创造和经济增长。然而自动化的崛起意味着,工业化为下一批新兴经济体带来的就业机会很可能少得多。“如今的低收入国家将不会有相同的可能性,即通过让农场劳动者进入工资更高的工厂来实现迅速增长,”美国投行花旗(Citi)和牛津大学(University of Oxford)的研究员在最近发表的关于技术变革的影响的报告《未来不同于过去》(The Future Is Not What It Used to Be)中得出结论称。

他们认为,不断上升的劳动力成本对中国而言是乌云中的一道曙光,因为它正在推动技术进步,就像18世纪英国工资上涨为世界第一场工业革命提供推动力一样。与此同时,常驻香港的花旗经济学家蔡真真(Johanna Chua)表示,亚洲和非洲一些工业落后的经济体面临着“与机器的赛跑”:竭力赶在被中国等工业化经济体日益壮大的机器人大军消灭之前,创造足够的制造业就业岗位。

现年45岁的印尼贸易部长汤姆?伦邦(Tom Lembong)是这个东南亚最大经济体的政府内部主张自由化和改革的领军人物,他意识到了这些风险。“很多人还没意识到我们正在目睹机器人的飞跃发展,”他表示,“这是一个令人担忧的大问题,我们要明白这场新的工业革命扑面而来的威胁。但是,我国的政界和商界精英仍然纠结于围绕20世纪甚至19世纪工业化模式的辩论。”

印尼等国已经遭遇了哈佛大学经济学家达尼?罗德里克(Dani Rodrik)所称的“过早去工业化”。它描述的趋势是,新兴经济体在收入远未达到发达国家水平之前,制造业便开始萎缩。尽管过去15年印尼经济迅速发展,但是其制造业占经济的比重在2002年便已见顶。分析师们认为,部分原因在于印尼未能投资于基础设施、贸易和投资政策不具竞争力,部分原因在于全球化。



他认为,机器人的普及使发展中国家更难搭上经济增长的“自动扶梯”。这对印尼每年新增的估计200万就业人口来说是个坏消息。印尼总人口2.55亿,其中40%的人口每日依靠不超过3美元度日。22岁的马哈米?贾耶?伦班拉贾(Mahami Jaya Lumbanraja)正在工厂比较集中的印尼巴淡(Batam)岛上找工作,他已经感受到了“过早去工业化”的影响。7个月来,他一直在巴淡岛(距离繁荣的新加坡仅20英里)寻找工厂职位,但至今没有碰上好运。身着褪色牛仔裤和灰色帽衫、脸上挂着可爱笑容的伦班拉贾称,尽管他有在禧玛诺(Shimano,生产自行车变速器和钓鱼用具的日资制造商)一年的工作经验,但他的经验不足以使他得到比初级工更高的职位,而求职者的人数远多于空缺岗位。“我能靠街头表演和帮朋友干建筑活赚点钱维持生计,但是我必须得到一份正式的工厂工作,才能存下足够钱,以后开一家自己的小店,”他表示。巴淡岛的工资水平——月均230美元左右——是伦班拉贾在其家乡棉兰市(Medan,位于苏门答腊岛)能赚到的收入的两倍。所以他觉得自己必须在巴淡岛坚持下去,一定要找到工作。

每天约有700名20岁上下的印尼年轻人到巴淡民都工业园(Batamindo Industrial Park)的社区中心找工作,伦班拉贾是其中之一。2月,一家日资电线厂在那里招聘80个岗位,但吸引了3000人前来申请。当时聚集的人太多,以至于工厂高管起初还担心是劳工抗议。


巴淡民都工业园是新加坡投资者和印尼投资者的合资项目,1990年创立时得到两国时任领导人——李光耀(Lee Kuan Yew)和苏哈托(Suharto)的支持。该工业园的初衷是展示印尼工业化战略,结果却成为该战略各种失误的象征。近年来,平均每年有5家工厂离开该工业园,迁往其他国家。在2000年鼎盛时期,整个园区有8万名雇员,如今则只有4.6万人——尽管这里的工资只有中国广东省水平的三分之一至二分之一。


但一些人指出,现在改革为时已晚。中国在快速工业化时期,大力投资建设现代化的公路、铁路和港口等支持国内制造业发展的基础设施。相比之下,巴淡民都工业园总经理Mook Sooi Wah表示,巴淡岛以及印尼其他许多地方的基础设施“从上世纪70年代以来没有多大变化”。



德国制造业老将斯蒂芬?罗尔(Stefan Roll)上世纪90年代中国工业起飞时期曾在中国工作。他如今很享受在印尼的生活和工作,但他担心印尼正在错失“黄金机遇”,无法以足够高的效率在全球舞台上展开竞争。“当你和跨国公司打交道时,时间就是金钱,”罗尔在带着记者参观他在巴淡岛的新工厂时说道,该厂为雀巢(Nestlé)组装咖啡机。“但你必须有很好的道路和基础设施才能从事‘即时制造’。”


“随着中国向产业链上方移动,它实际上在向东南亚和印度输送大量机遇。”汇丰(HSBC)驻香港的机器人行业分析师周正峰(Anderson Chow)表示。

波士顿咨询公司(Boston Consulting Group)的制造业专家哈尔?西尔金(Hal Sirkin)表示,从印度这样的经济体的视角看,“在他们有10亿人可以廉价地生产东西的时候”,搞自动化没什么意思,因为那会推高产品价格。他和其他一些技术乐观派认为,在中期内,自动化也将为新兴经济体开辟新的业务领域,缓解就业岗位被自动化取代的影响。


但牛津大学的就业和科技业专家卡尔?弗雷(Carl Frey)警告说,如果不提供更好的教育和培养更多技能,发展中国家将难以利用制造业进步所带来的好处。









自动化并不是仅仅把更便宜、效率更高的机械臂投放到生产线上。尚品宅配家居股份有限公司(Shangpin Home Collection)生产和销售定制家具。该集团副总裁黎干表示,更大的机遇在于把车间第一线的机器人和来自客户以及自动化物流系统的实时数据融合到一起。



波士顿咨询集团预测,在中国、德国、日本、韩国和美国的推动下,到本十年结束时,由先进机器人承担的任务比例将从目前的8%上升至26%。这5个国家的机器人购买量将占到全球购买总量的80%。波士顿咨询集团的西尔金说,自动化的快速普及可以跟“人类学习曲线”和摩尔定律(Moore’s Law)之间的差别相提并论。摩尔定律认为,运算能力每18个月至2年就会提升1倍。“即便你很优秀,人的生产率充其量每10年能够提高1倍。”他估计,相比之下,研究人员可以让机器人每4年把生产率提高1倍。“复合增长率意味着,随着时间推移,这会产生很大的差别。”




照片由Zeng Han和穆罕默德?法德利(Muhammad Fadli)提供


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