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中国的目标是建立世界上最大的职业教育体系，以便在人口迅速老龄化的情况下维持经济增长。
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人民日报》的社论说，职业中学和学院每年将培养1000万名高质量的技术工人，并补充说，中国现在的总数超过2亿名技术工人和超过6000万名高技术工人。
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中国的人口去年在60年来首次下降–减少了85万，至14.1亿人。
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印度上个月被联合国宣布为世界上人口最多的国家。
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《人民日报》说，提高人口的技能将为 "全面建设社会主义现代化国家，振兴国家 "提供坚实的基础。
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北京大学国家发展学院经济学教授赵耀辉说，建立世界上最大的职业教育体系和过度强调技术培训并不能提供一个 "完整的 "解决方案。
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我们需要被广泛称为一般人力资本的技能–沟通、批判性思维和快速学习技能。
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职业培训强调的是专门的专业知识，而这些专业知识可能在短短几年内就会被快速的技术变革所淘汰。
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中国可以学习德国的职业教育体系，该体系与产业紧密结合，实践实习是常规课程的一个特点。
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一位来自国际组织的北京专家说，增加人力资本投资并无不妥，“但这支专业的劳动力应该根据劳动力需求来进行培训”。
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考虑到工作性质的变化以及人工智能和自动化的影响，投资应该以需求为导向。
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China aims to build the world’s largest vocational education system to sustain economic growth in the face of a rapidly ageing population.
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People’s Daily editorial said vocational secondary schools and colleges would train 10 million high-quality skilled workers each year, adding that the country’s total now was more than 200 million skilled and over 60 million highly skilled workers.
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China’s population fell last year for the first time in 60 years – down 850,000 to 1.41 billion people.
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India was last month declared the world’s most populous nation by the United Nations.
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People’s Daily said improving the population’s skills would provide a solid foundation for “building a modern socialist country comprehensively and rejuvenate the country”.
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Zhao Yaohui, professor of economics at Peking University’s National School of Development, said building the world’s largest vocational education system and overly emphasising technical training would not provide a “complete” solution.
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Skills broadly referred to as general human capital – communication, critical thinking and rapid learning skills – are needed.
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Vocational training emphasises specialised expertise which can be rendered obsolete in just a few years by rapid technological changes.
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China could learn from Germany’s vocational education system which is closely integrated with industries and practical internships are a feature of the regular curriculum.
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A Beijing-based expert from an international organisation said there was nothing wrong with increasing investment in human capital “but this professional workforce should be trained in response to labour demand”.
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Investment should be demand-driven in light of the changing nature of work and the implications of AI and automation.