Centre for China Public Sector Economy Research, Jilin University, Changchun, China.
School of Economics, Jilin University, Changchun, China.
Front Public Health. 2022 May 24;10:881827. doi: 10.3389/fpubh.2022.881827. eCollection 2022.
This study matches data from the China Family Panel Studies (CFPS) with data on the transformation to industrial artificial intelligence (AI) in cities to explore the effect of this transformation on workers' mental health and its underlying mechanisms in China. The findings show the following (1). The transformation to industrial AI effectively alleviates multiple mental health problems and improves workers' mental health (2). Work intensity and wage income play an intermediary role in the relationship between the industrial AI transformation and workers' mental health (3). Potential endogeneity problems in the relationship between industrial AI and workers' mental health are considered, and robustness tests are conducted (including changing the dependent variables, independent variables and regression models). The main results and impact mechanisms remain robust and reliable. This study extends the research on the relationship between industrial AI and workers' health, which has important theoretical implications. Additionally, based on the Chinese context, this research has important implications for the current AI transformation in developing countries. Transition economies with labor shortages can achieve a win-win situation by promoting industrial AI to fill the labor gap and improve workers' mental health.
本研究将中国家庭追踪调查（CFPS）的数据与城市产业人工智能（AI）转型的数据相匹配，旨在探讨这一转型对中国工人心理健康的影响及其背后的机制。研究结果表明：（1）产业 AI 转型有效缓解了多种心理健康问题，提升了工人的心理健康水平；（2）工作强度和工资收入在产业 AI 转型与工人心理健康之间的关系中起中介作用；（3）考虑到产业 AI 与工人心理健康之间关系中的潜在内生性问题，进行了稳健性检验（包括改变因变量、自变量和回归模型），主要结果和影响机制仍然稳健可靠。本研究拓展了产业 AI 与工人健康关系的研究，具有重要的理论意义。此外，基于中国情境，本研究对发展中国家当前的 AI 转型具有重要意义。劳动力短缺的转型经济体可以通过推动产业 AI 来填补劳动力缺口并改善工人的心理健康，实现双赢局面。
