Digital Economy Development, Human Capital Accumulation and Labor Income Share Increase — Empirical Evidence from Chinese Cities

Authors

  • SONG Pei School of Economics, Nankai University, Tianjin 300071, China
  • LI Lin School of Economics, Nankai University, Tianjin 300071, China
  • BAI Xuejie College of Economic and Social Development, Nankai University, Tianjin 300071, China

DOI:

https://doi.org/10.20069/9cp4kd68

Keywords:

digital economy, human capital, share of labor income, service industry, industrial structure transformation, common prosperity

Abstract

Labor income share stability is crucial for promoting common prosperity as it constitutes a significant portion of national income distribution. Digital technology’s empowerment selectively facilitates factors entering various industries, thereby altering factor income distribution. The transformation of industrial structure inevitably influences labor income share. This paper examines whether the digital economy can elevate labor income share and the pivotal role of human capital accumulation in this context.

Initially, a multi-sector static general equilibrium model elucidates the interplay among digital economy development, human capital accumulation, and labor income share. It highlights that the impact of digital economy development on labor income share hinges on factor substitution elasticity within industries. Human capital accumulation mitigates factor substitution elasticity in the service sector, thereby augmenting the digital economy’s potential to enhance labor income share.

Moreover, employing numerical simulations for quantitative analysis reinforces theoretical insights. It underscores that the elasticity of factor substitution within industries is pivotal in determining the impact of digital economy development on labor income share. Human capital accumulation, particularly in the service sector, fosters the positive effect of digital economy development on labor income share. Notably, high elasticity of capital and labor substitution within industries leads to a decline in labor income share, whereas reducing this elasticity in the service sector can reverse this trend.

Subsequently, empirical tests utilizing panel data from 286 Chinese cities (2011–2020) reveal a U-shaped trend in the impact of China’s digital economy development on labor income share; initially suppressing it before promoting it. Human capital accumulation significantly contributes to increasing labor income share, particularly when the human capital level exceeds 27.677. However, regional heterogeneity exists in this impact, and human capital accumulation does not uniformly regulate labor income share across all regions.

This paper advances existing research in three aspects, first, by endogenously considering human capital accumulation’s role in analyzing the impact of digital economy development on labor income share; second, by integrating digital economy development into a multi-sector general equilibrium model and depicting human capital accumulation’s level through factor substitution elasticity; and third, by emphasizing the imperative of human capital accumulation in achieving common prosperity in the digital economy era.

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References

[1] Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488-1542.

[2] 郭凯明, 潘珊, 颜色. (2020). 新型基础设施投资与产业结构转型升级. 中国工业经济, (3), 63-80.

[3] 刘亚琳, 茅锐, 姚洋. (2018). 结构转型、金融危机与中国劳动收入份额的变化. 经济学(季刊), (2), 609-632.

[4] 白重恩, 钱震杰. (2009). 国民收入的要素分配: 统计数据背后的故事. 经济研究, (3), 27-41.

[5] 陈宇峰, 贵斌威, 陈启清. (2013). 技术偏向与中国劳动收入份额的再考察. 经济研究, (6), 113-126.

[6] 林令涛, 刘海洋, 逯宇铎. (2019). 国有企业改制与劳动收入份额变动之谜: 基于企业效率和工资水平不平衡增长的视角. 财经研究, (8), 28-42.

[7] 魏下海, 董志强, 黄玖立. (2013). 工会是否改善劳动收入份额: 理论分析与来自中国民营企业的经验证据. 经济研究, (8), 16-28.

[8] 蒋为, 黄玖立. (2014). 国际生产分割、要素禀赋与劳动收入份额: 理论与经验研究. 世界经济, (5), 28-50.

[9] 王林辉, 袁礼. (2018). 有偏型技术进步、产业结构变迁和中国要素收入分配格局. 经济研究, (11), 115-131.

[10] 黄逵友, 李增福, 潘南佩, 等. (2023). 企业数字化转型与劳动收入份额. 经济评论, (2), 15-30.

[11] Bessen, J. (2019). Automation and jobs: When technology boosts employment. Economic Policy, 34(100), 589-626.

[12] Graetz, G., & Michaels, G. (2018). Robots at work. Review of Economics and Statistics, 100(5), 753-768.

[13] 郭凯明. (2019). 人工智能发展、产业结构转型升级与劳动收入份额变动. 管理世界, (7), 60-77.

[14] 王静, 王怡静, 宋建. (2022). 最低工资、机器人应用与劳动收入份额: 基于上市公司经验证据. 财经研究, (12), 106-120.

[15] 周茂, 陆毅, 李雨浓. (2018). 地区产业升级与劳动收入份额: 基于合成工具变量的估计. 经济研究, (11), 132-147.

[16] 卓玛草. (2022). 异质性要素替代弹性与中国产业结构变迁: 兼论新发展格局稳增长的来源. 经济科学, (6), 22-38.

[17] Herrendorf, B., Rogerson, R., & Valentinyi, A. (2013). Two perspectives on preferences and structural transformation. American Economic Review, 103(7), 2752-2789.

[18] 颜色, 郭凯明, 杭静. (2022). 中国人口红利与产业结构转型. 管理世界, (4), 15-33.

[19] 宫汝凯. (2023). 走向共同富裕之路: 以技术市场发展提升劳动收入份额. 财经研究, (1), 19-33.

[20] 陈贵富, 韩静, 韩恺明. (2022). 城市数字经济发展、技能偏向型技术进步与劳动力不充分就业. 中国工业经济, (8), 118-136.

[21] 盛伟, 廖桂蓉. (2021). 教育人力资本、外部性及时空异化效应: 劳动力市场效率视角. 南开经济研究, (5), 240-256.

[22] 赵涛, 张智, 梁上坤. (2020). 数字经济、创业活跃度与高质量发展: 来自中国城市的经验证据. 管理世界, (10), 65-76.

[23] 魏丽莉, 侯宇琦. (2022). 数字经济对中国城市绿色发展的影响作用研究. 数量经济技术经济研究, (8), 60-79.

[24] 白雪洁, 李琳, 宋培. (2023). 兼顾效率与公平: 中国数字经济发展对经济增长与收入不平等的影响研究. 西安交通大学学报(社会科学版), (1), 38-50.

[25] 张宽, 黄凌云. (2022). 结构的力量: 人力资本升级、制度环境与区域创新能力. 当代经济科学, (6), 28-41.

[26] 于伟, 张鹏, 姬志恒. (2021). 中国城市群生态效率的区域差异、分布动态和收敛性研究. 数量经济技术经济研究, (1), 23-42.

[27] 王小鲁, 樊纲, 胡李鹏. (2021). 中国分省份市场化指数报告(2021). 北京: 社会科学文献出版社, 1-15.

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Published

2024-04-30

How to Cite

Digital Economy Development, Human Capital Accumulation and Labor Income Share Increase — Empirical Evidence from Chinese Cities. (2024). Modern Economic Science, 46(2), 59-74. https://doi.org/10.20069/9cp4kd68

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