当代财经 ›› 2021, Vol. 0 ›› Issue (10): 3-15.

• 理论经济 •    下一篇

新一轮技术革命背景下智能化转型与高质量发展

李鹏   

  1. 中国社会科学院 工业经济研究所,北京 100006
  • 收稿日期:2021-03-25 修回日期:2021-05-18 出版日期:2021-10-15 发布日期:2021-10-14
  • 作者简介:李鹏,中国社会科学院工业经济研究所助理研究员,经济学博士,主要从事产业经济研究,联系方式lipengcass@163.com。
  • 基金资助:
    国家社会科学基金重大项目“推进新型工业化与经济体系优化升级研究”(21ZDA021); 中国社会科学院登峰战略产业经济学优势学科

Intelligent Transformation and High-Quality Development under the New Round of Technological Revolution

LI Peng   

  1. Institute of Industrial Economics of CASS, Beijing 100006, China
  • Received:2021-03-25 Revised:2021-05-18 Online:2021-10-15 Published:2021-10-14

摘要: 智能化是新一轮技术革命的突出特征,是引领创新发展的重要抓手。基于动态多区域可计算一般均衡模型的研究结果显示,智能化转型能够加快经济增长、促进产业结构升级、减少碳排放,且加快绿色技术进步、提升能源效率能够强化智能化转型对经济增长和绿色发展的正向影响。但与此同时,智能化转型将加速各区域的劳动力市场结构调整,且各区域不同行业的劳动力需求受到的冲击差异较大,传统工业行业的劳动力需求显著下降,而大多高端制造业的劳动力需求不同程度地增加,这在中西部地区更加明显。上述结论意味着,应继续稳妥地推动智能化转型,为高质量发展添薪续力,同时应根据不同区域和行业特点进行动态调整,尽量避免智能化转型过快对传统行业就业产生较大负面冲击。

关键词: 技术革命, 智能化转型, 劳动力需求, 动态多区域可计算一般均衡模型

Abstract: Intellectualization is a prominent feature of the new round of technological revolution and an important starting point to lead innovation and development. This paper constructs a dynamic multi-regional computable general equilibrium model for this study. The findings show that intelligent transformation can accelerate economic growth, promote the upgrading of industrial structure, and reduce carbon emissions. While accelerating the progress of green technology and improving energy efficiency can enhance the positive impact of intelligent transformation on economic growth and green development. However, at the same time, intelligent transformation will accelerate the structural adjustment of labor market in various regions, and the impact on labor demand in different industries in different regions is quite different. The labor demand in traditional industries will decrease significantly, while the labor demand in most high-end manufacturing industries will increase to varying degrees, which is more obvious in the central and western regions. The implication of the above mentioned conclusion is that the government should continue to promote the intelligent transformation steadily, make more efforts for high-quality development, at the mean time make dynamic adjustments according to the characteristics of different regions and industries, so as to avoid the negative impact of the rapid intelligent transformation on the employment of traditional industries.

Key words: technological revolution, intellectualization transformation, labor demand, dynamic multi-regional CGE model

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