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金融研究  2024, Vol. 523 Issue (1): 1-18    
  本期目录 | 过刊浏览 | 高级检索 |
结构性就业矛盾、劳动时间配置与人工智能技术革命
王钰冰, 郭凯明, 龚六堂
中山大学岭南学院,广东广州 510275;北京大学光华管理学院,北京 100871
Structural Unemployment, Time Allocation, and the Artificial Intelligence Revolution
WANG Yubing, GUO Kaiming, GONG Liutang
Lingnan College, Sun Yat-sen University; Guanghua School of Management, Peking University
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摘要 本文构建了一个包含劳动和就业结构转变、生产和技术结构转型、产业部门和家庭生产部门时间配置的系统性理论框架,从时间配置结构转型和人工智能技术变革视角,开展关于生产结构和就业结构关系的理论研究。本文提出,人工智能技术革命在产业部门和家庭生产部门同时推动了机器换人和结构转型;由于低技能劳动在家庭生产部门更有比较优势,高技能劳动在技能密集型产业更有比较优势,在不同产业之间替代弹性较低、非技能密集型产业智能机器设备(家庭生产部门智能耐用品)与劳动替代弹性较高时,偏向非技能密集型产业的人工智能技术进步将增加高技能劳动相对需求,偏向家庭生产部门的人工智能技术进步将增加低技能劳动相对供给,二者都会推动生产结构转型并缓解结构性就业矛盾。如果劳动供给结构转变较快而人工智能技术发展较慢,加深结构性就业矛盾,可以通过定向加强非技能密集型产业和家庭生产部门的数字基础设施建设,挖掘人力资源潜力、释放人才红利和缓解结构性就业矛盾。
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王钰冰
郭凯明
龚六堂
关键词:  结构性就业矛盾  人工智能  结构转型  时间配置  数字基础设施    
Summary:  As China's population structure and economic structure undergo a rapid transition, its labor market is also seeing significant changes, with more severe structural unemployment as its principal contradiction. Structural unemployment is caused by a mismatch between the labor supply structure and labor demand structure, which makes it difficult both for workers to find jobs and for firms to hire workers. This paper focuses on the role of the artificial intelligence (AI) revolution and well-functioning government in structural transformation and structural unemployment, offering a new perspective on structural unemployment and related policy implications. The literature on structural transformation and AI has largely overlooked structural unemployment and home production. This paper is the first to focus on explaining structural transformation and structural unemployment from the perspective of AI and home production.
We present a multi-sector general equilibrium dynamic model with structural changes in employment and production, in which time is allocated between the market and home. In the model, high-skill and low-skill labor are employed in skill-intensive and unskilled-intensive industries, respectively, in the market and home. We show that households' time allocation between the market and home determines the labor supply structure and employment structure and, in turn, the industrial structure. The employment structure and industrial structure simultaneously affect the labor demand structure and time allocation. Moreover, AI technology may initiate a revolution in the production processes in the market and home. Thus, the key insight for understanding the relationship between AI and structural unemployment is that AI simultaneously promotes capital deepening in the market and home, which alters the transitional path of employment structure and production structure, resulting in a considerable impact on structural unemployment.
We find that changes in labor supply may aggravate the mismatch between the demand structure of high-skill and low-skill labor and the supply structure of labor with high and low levels of education, causing more severe structural unemployment. The AI revolution simultaneously promotes the structural transformation of production in the market and home, which may cushion the negative impact of structural unemployment. More specifically, because high-skill labor has a comparative advantage in skill-intensive industries, when the elasticity of substitution between industries is low and the elasticity of smart machines and labor in unskilled-intensive industries is high, the AI revolution in unskilled-intensive industries speeds up the process of machines replacing labor, and increases the relative price of skill-intensive industries. As a result, both high-skill and low-skill labor are drawn from unskilled-intensive industries to skill-intensive industries, leading to higher relative demand for high-skill labor; thus, the process of structural transformation helps tackle structural unemployment. Similarly, because low-skill labor has a comparative advantage in home, when the elasticity of smart durables and labor in home is high, the AI revolution in home speeds up the process of durables replacing labor and increases the opportunity cost of home production. As a result, both high-skill and low-skill labor are drawn from home to the market, leading to a greater relative supply of low-skill labor, which also helps tackle structural unemployment. If the rapid structural transition of the labor supply and the slow development of AI technology intensify structural unemployment, the government should invest in digital infrastructure and new infrastructure in unskilled-intensive industries and home, which would effectively tackle structural unemployment by accelerating the AI revolution and structural transformation.
To tackle structural unemployment and promote structural transformation, we derive the following policy implications from our findings. First, the government should support and guide research and development into AI technology in labor-intensive industries and unskilled-intensive industries, conforming to the law of technological revolution in AI and new digital technology. Second, the government should initiate a technological revolution in home production using AI technology and increase the demand for smart durables, which may be an effective tool to simultaneously expand domestic demand and deepen supply-side structural reforms. Third, the government should comprehensively strengthen the construction of digital infrastructure and new infrastructure, build a modern infrastructure system, and promote the integration of the digital economy and real economy. Fourth, the government should strengthen the strategic layout of talent, improve the system of lifelong vocational training, and build a talent team with a rational structure and high quality to achieve a better match between the labor supply structure and skill demand structure.
Keywords:  Structural Unemployment    Artificial Intelligence    Structural Transformation    Time Allocation    Digital Infrastructure
JEL分类号:  O11   O41  
基金资助: *本文感谢国家社会科学基金重大项目(23&ZD044)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  郭凯明,经济学博士,教授,中山大学岭南学院,E-mail: guokm3@mail.sysu.edu.cn.   
作者简介:  王钰冰,博士研究生,中山大学岭南学院,E-mail: wangyb6@mail2.sysu.edu.cn.
龚六堂,经济学博士,教授,北京大学光华管理学院,北京工商大学国际商学院,E-mail: ltgong@gsm.pku.edu.cn.
引用本文:    
王钰冰, 郭凯明, 龚六堂. 结构性就业矛盾、劳动时间配置与人工智能技术革命[J]. 金融研究, 2024, 523(1): 1-18.
WANG Yubing, GUO Kaiming, GONG Liutang. Structural Unemployment, Time Allocation, and the Artificial Intelligence Revolution. Journal of Financial Research, 2024, 523(1): 1-18.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V523/I1/1
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