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An empirical analysis of the impact of technological innovation on China’s total employment

机译:技术创新对中国总就业影响的实证分析

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Technological innovation represented by artificial intelligence and 5G networks has developed rapidly, since the reform and opening up, especially in recent years. Technological innovation promotes the upgrading of industrial structure, promotes the increase of employment in emerging industries, at the same time, eliminate the workers in backward industries, which will have an impact on overall employment. Therefore, this paper studies the impact of technological innovation on the total employment of China from an empirical perspective. Total Factor Productivity (TFP) and TFP growth rate calculated by the Solow residual method are used as indicators of the level of technological innovation, and the long-term cointegration regression model and short-term impulse response function are established with the number of employees and employment growth rate as the dependent variables, respectively. The study found that, the impact of technological innovation on employment levels has a stable promotion effect in the long run; in the short run, there is a destructive effect at first, but as time goes by, this destructive mechanism gradually occupies the peak, and the creative mechanism begins to take effect. The leading role, technological innovation has a steady promotion effect on employment.
机译:自我改革开放以来,人工智能和5G网络代表的技术创新已经迅速发展,特别是近年来。技术创新促进了产业结构的升级,促进了新兴产业就业的增加,同时消除了倒退行业的工人,这将对整体就业产生影响。因此,本文研究了技术创新从实证角度对中国完全就业的影响。通过溶液残留方法计算的总因素生产率(TFP)和TFP生长速率被用作技术创新水平的指标,并且长期协整回归模型和短期脉冲响应函数与员工人数和就业增长率分别为依赖变量。该研究发现,长期以来,技术创新对就业水平的影响在长期上具有稳定的促进效果;在短期内,首先存在破坏性效果,但随着时间的推移,这种破坏性机制逐渐占据峰值,而创造性机制开始生效。主导作用,技术创新对就业有稳定的推广影响。

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