The Impact of Digitalization on Employment Risk in the Labor Market

Authors

  • ZHANG Shun School of Humanities and Social Science, Xi’an Jiaotong University, Xi’an 710049, China
  • LYU Fengguang School of Humanities and Social Science, Xi’an Jiaotong University, Xi’an 710049, China

DOI:

https://doi.org/10.20069/dtab4e77

Keywords:

enterprise digitalization, employment risk, labor demand elasticity, digital economy, new quality productive forces, employment stabilization policies

Abstract

Enterprise digitalization, a microform of the digital economy, significantly impacts the labor market. Enterprises must consider not only changes in labor demand due to digitalization but also the associated labor costs. As labor costs increase, enterprises often reduce labor demand, creating employment risks. However, the effect of enterprise digitalization on labor decisions and employment risks amidst rising labor costs has not been fully explored.

Our theoretical framework posits that enterprise digitalization influences employment risks through two mechanisms and three effects: the substitution effect and scale effect of the productivity mechanism, and the financing effect of the resource mechanism. The substitution effect increases employment risks, while the scale and financing effects mitigate these risks. We begin by summarizing and expanding the lexicon of enterprise digitalization from prior studies, measuring enterprise digitalization using the word frequency method. Using labor demand elasticity as an entry point, we analyze Chinese A-share listed enterprises from 2010 to 2020 to examine the impact of enterprise digitalization on employment risk. Our findings indicate that enterprise digitalization reduces employment risk and has a net positive employment effect. These results remain robust through various tests, including the instrumental variable approach, alternative measurements of enterprise digitalization, and sub-sample regression. Furthermore, the empirical results of the mechanism test using the mediated moderation model show that the scale and financing effects are predominant and significantly impactful.

We contribute to the literature in several ways. First, we explore how enterprise digitalization affects employment risks in the context of rising labor costs, focusing on the economic consequences of digitalization in the labor market. Second, unlike prior research that mainly addresses the digital economy and employment from a theoretical or macro-regional perspective, we emphasize empirical support and the crucial role of enterprise digitalization in constructing the digital economy, examining the relationship between digitalization and employment risks from a micro perspective. Third, unlike technological advances such as robotics, enterprise digitalization not only enhances productivity but also drives innovation and business model transformation. Guided by Schumpeter’s theory of “creative destruction”, we develop a theoretical framework linking enterprise digitalization to employment risk.

Enterprise digitalization, driven by the digital economy, promotes enterprise development and improves operational conditions, positively impacting future labor market stability and the achievement of fuller, higher-quality employment. As labor prices and costs rise, deepening employment risks, the rapid development of the digital economy offers new strategies to alleviate these risks. Our findings suggest that enterprise digitalization can expand enterprise scale, reduce financing costs, and mitigate employment risks, aligning with the policy goal of “stabilizing employment”.

Downloads

Download data is not yet available.

References

[11] 毛宇飞, 胡文馨. 人工智能应用对人力资源从业者就业质量的影响 [J]. 经济管理, 2020(11):92-108.

[12] 鲍尔斯. 劳动经济学 [M]. 沈凯玲, 译. 北京: 中国人民大学出版社, 2018:88.

[13] 刘晓光, 刘嘉桐. 劳动力成本与中小企业融资约束 [J]. 金融研究, 2020(9):117-135.

[14] 袁知柱, 侯利娟. 会计信息可比性与企业劳动力投资效率 [J]. 财贸研究, 2022(12):74-92.

[15] 史青, 李平, 宗庆庆. 企业出口对劳动力就业风险影响的研究 [J]. 中国工业经济, 2014(7):71-83.

[16] 盛斌, 牛蕊. 贸易、劳动力需求弹性与就业风险: 中国工业的经验研究 [J]. 世界经济, 2009(6):3-15.

[17] 周琦玮, 刘鑫, 李东红. 企业数字化转型的多重作用与开放性研究框架 [J]. 西安交通大学学报(社会科学版), 2022(3):10-19.

[18] 王林辉, 胡晟明, 董直庆. 人工智能技术、任务属性与职业可替代风险: 来自微观层面的经验证据 [J]. 管理世界, 2022(7):60-79.

[19] 陈宗胜, 赵源. 工业机器人应用与企业内部薪酬差别的机制与效应研究 [J]. 当代经济科学, 2023(5):61-73.

[20] Myers S. C., Majluf N. S. Corporate financing and investment decisions when firms have information that investors do not have [J]. Journal of Financial Economics, 1984, 13(2):187-221.

[21] 吴非, 胡慧芷, 林慧妍, 等. 企业数字化转型与资本市场表现: 来自股票流动性的经验证据 [J]. 管理世界, 2021(7):130-144.

[22] Connelly B. L., Certo S. T., Ireland R. D., et al. Signaling theory: a review and assessment [J]. Journal of Management, 2011, 37(1):39-67.

[23] 赵宸宇. 数字化发展与服务化转型: 来自制造业上市公司的经验证据 [J]. 南开管理评论, 2021(2):149-163.

[24] 何帆, 刘红霞. 数字经济视角下实体企业数字化变革的业绩提升效应评估 [J]. 改革, 2019(4):137-148.

[25] 张叶青, 陆瑶, 李乐芸. 大数据应用对中国企业市场价值的影响: 来自中国上市公司年报文本分析的证据 [J]. 经济研究, 2021(12):42-59.

[26] 韩晓梅, 龚启辉, 吴联生. 薪酬抵税与企业薪酬安排 [J]. 经济研究, 2016(10):140-154.

[27] 黄群慧, 余泳泽, 张松林. 互联网发展与制造业生产率提升: 内在机制与中国经验 [J]. 中国工业经济, 2019(8):5-23.

[28] 王阳, 温忠麟, 王惠惠, 等. 第二类有中介的调节模型 [J]. 心理科学进展, 2022(9):2131-2145.

[29] 李广子, 刘力. 债务融资成本与民营信贷歧视 [J]. 金融研究, 2009(12):137-150.

Downloads

Published

2024-10-18

How to Cite

The Impact of Digitalization on Employment Risk in the Labor Market. (2024). Modern Economic Science, 46(4), 14-26. https://doi.org/10.20069/dtab4e77

Similar Articles

11-20 of 53

You may also start an advanced similarity search for this article.