|
|
Digital Transformation and Corporate Human Capital Upgrade |
YE Yongwei, LI Xin, LIU Guanchun
|
School of Public Economics and Administration, Shanghai University of Finance and Economics; School of Business, Shanghai University of Finance and Economics; Lingnan College, Sun Yat-sen University |
|
|
Abstract In recent years, China's digital economy has grown with the rapid development in emerging technologies. According to the 2021 White Paper on the Development of China's Digital Economy by the China Academy of Information and Communication Technology, the digital economy demonstrated strong resilience despite the global economic downturn caused by the COVID-19 pandemic in 2020 and contributed 38.6% to China's GDP growth. In March 2021, the outline of the 14th Five-Year Plan proposed accelerating the building of a digital economy, digital society and digital government to drive overall changes in production, lifestyle and governance. The digital economy is gathering momentum and is now a part of China's national strategy. In this context, enterprises have wholeheartedly embraced digital transformation, trying to integrate information technology with the traditional modes of production and operation. Academic researchers are also focusing on topics related to the digital transformation of enterprises. Studies have examined the impact of digital transformation on specialization and division of labor, business performance, productivity and input-output efficiency. However, the literature does not discuss the impact of digital transformation on the human capital of an enterprise. Therefore, this study fills a gap in the literature by focusing on this topic. This study argues that digital transformation relies on the application of intelligent equipment to automate many routine and repetitive tasks through computer programming, which reduces the demand for low-skilled labor in enterprises, and shows the technology substitution effect of digital transformation. In contrast, integration of digital technology with an enterprise's production and operation activities also leads enterprises to deepen their capital. For example, enterprises may purchase more advanced machinery and office automation systems and accordingly improve the level of independent research and development of technology. These changes lead to the creation of many new high-skilled jobs and increase the ability of an enterprise to attract highly skilled manpower. This shows the technology complementarity effect and the scale expansion effect of digital transformation. Therefore, this study investigates whether and how digital transformation affects the upgrading of enterprise human capital. This study tests the effect of digital transformation on enterprise human capital structure and finds that digital transformation significantly optimizes the human capital structure of enterprises. This conclusion remains valid after accounting for model endogeneity, replacing the core variables, adjusting the model setting and changing the sample size. The mechanism test confirms that digital transformation significantly increases the fixed asset investment and R&D expenditure of an enterprise and its scale of operations. Thus, digital transformation mainly optimizes the human capital structure of enterprises through its technology complementarity and scale expansion effects. The results of heterogeneity analysis demonstrate that the optimization effect of digital transformation on enterprise human capital structure is more prominent in enterprises with less financing constraints and lower technology intensity and enterprises located in the eastern region than in enterprises with more financing constraints and higher technology intensity and enterprises located in other regions. The results of further analyses indicate that digital transformation increases the remuneration of executives and other employees and the operating efficiency of enterprises. This study makes the following contributions. First, it enriches the literature in the related fields. This study reveals the economic consequences of digital transformation and extends the literature by examining the relationship between AI and labor hiring by enterprises. Second, it provides new empirical evidence indicating how to optimize enterprise human capital structure. This study analyzes how digital transformation optimizes enterprise human capital structure by focusing on the technology substitution, technology complementarity and scale expansion effects of digital transformation. It provides empirical evidence for the change in labor employment structure in a digital economy. Third, the findings of this study have important practical implications. This study shows that digital transformation prompts enterprises to demand more highly skilled labor, and this effect varies according to the characteristics of industries and regions. These findings can provide a practical reference and theoretical basis for the government to formulate more targeted policies for digital economy development.
|
Received: 26 January 2022
Published: 20 January 2023
|
|
|
|
[1] |
孔高文、刘莎莎和孔东民,2020,《机器人与就业——基于行业与地区异质性的探索性分析》,《中国工业经济》第8期,第80~98页。
|
[2] |
李磊、王小霞和包群,2021,《机器人的就业效应:机制与中国经验》,《管理世界》第9期,第104~119页。
|
[3] |
刘贯春、段玉柱和刘媛媛,2019,《经济政策不确定性、资产可逆性与固定资产投资》,《经济研究》第8期,第53~70页。
|
[4] |
刘啟仁和赵灿,2020,《税收政策激励与企业人力资本升级》,《经济研究》第4期,第70~85页。
|
[5] |
鲁桐和党印,2014,《公司治理与技术创新:分行业比较》,《经济研究》第6期,第115~128页。
|
[6] |
马新啸、汤泰劼和郑国坚,2020,《国有企业混合所有制改革与人力资本结构调整——基于高层次人才配置的视角》,《财贸经济》第12期,第101~116页。
|
[7] |
戚聿东、刘翠花和丁述磊,2020,《数字经济发展、就业结构优化与就业质量提升》,《经济学动态》第11期,第17~35页。
|
[8] |
孙早和侯玉琳,2019,《工业智能化如何重塑劳动力就业结构》,《中国工业经济》第5期,第61~79页。
|
[9] |
铁瑛和刘啟仁,2021,《银行管制放松、融资约束与人力资本升级》,《财贸经济》第11期,第116~130页。
|
[10] |
王永进、匡霞和邵文波,2017,《信息化、企业柔性与产能利用率》,《世界经济》第1期,第67~90页。
|
[11] |
王永钦、董雯,2020,《机器人的兴起如何影响中国劳动力市场?——来自制造业上市公司的证据》,《经济研究》第10期,第159~175页。
|
[12] |
王泽宇,2020,《企业人工智能技术强度与内部劳动力结构转化研究》,《经济学动态》第11期,第67~83页。
|
[13] |
吴非、胡慧芷、林慧妍和任晓怡,2021,《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》,《管理世界》第7期,第130~144页。
|
[14] |
袁淳、肖土盛、耿春晓和盛誉,2021,《数字化转型与企业分工:专业化还是纵向一体化》,《中国工业经济》第9期,第137~155页。
|
[15] |
张永珅、李小波和邢铭强,2021,《企业数字化转型与审计定价》,《审计研究》第3期,第62~71页。
|
[16] |
赵宸宇、王文春和李雪松,2021,《数字化转型如何影响企业全要素生产率》,《财贸经济》第7期,第114~129页。
|
[17] |
赵烁、施新政、陆瑶和刘心悦,2020,《兼并收购可以促进劳动力结构优化升级吗? 》,《金融研究》第10期,第150~169页。
|
[18] |
朱太辉、林思涵和张晓晨,2022,《数字经济时代平台企业如何促进共同富裕》,《金融经济学研究》第1期,第181~192页。
|
[19] |
Acemoglu,D. 1998. “Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality”,The Quarterly Journal of Economics,113(4):1055~1089.
|
[20] |
Acemoglu,D. and P. Restrepo. 2018. “The Race between Man and Machine:Implications of Technology for Growth, Factor Shares, and Employment”,American Economic Review,108(6):1488~1542.
|
[21] |
Arellano,M. and S. Bond. 1991. “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations”,Review of Economic Studies,58(2):277~297.
|
[22] |
Benmelech,E.,C. Frydman and D. Papanikolaou. 2019. “Financial Frictions and Employment During the Great Depression”,Journal of Financial Economics,133(3):541~563.
|
[23] |
Boeker,W. 1997. “Strategic Change: The Influence of Managerial Characteristics and Organizational Growth”,Academy of Management Journal,40(1):152~170.
|
[24] |
Brynjolfsson,E. and T. Mitchell. 2017. “What can Machine Learning Do? Workforce Implications”,Science,358(6370):1530~1534.
|
[25] |
Cao,Z. F. and W. Rees. 2020. “Do Employee-friendly Firms Invest More Efficiently? Evidence from Labor Investment Efficiency”,Journal of Corporate Finance,65: 101744.
|
[26] |
Collard-Wexler,A. and J. D. Loecker. 2015. “Reallocation and Technology: Evidence from the U.S. Steel Industry”,American Economic Review,105(1):131~171.
|
[27] |
Flug,K. and Z. Hercowitz. 2000. “Equipment Investment and the Relative Demand for Skilled Labor: International Evidence”,Review of Economic Dynamics,3(3):461~485.
|
[28] |
Ghaly,M.,V. A. Dang and K. Stathopoulos. 2020. “Institutional Investors' Horizons and Corporate Employment Decisions”,Journal of Corporate Finance,64: 101634.
|
[29] |
Hadlock,C. J. and J. R. Pierce. 2010. “New Evidence on Measuring Financial Constraints: Moving Beyond the KZ Index”,Review of Financial Studies,23(5): 1909~1940.
|
[30] |
Hilal,A. 2013. “The Effects of Broadband Internet Expansion on Labor Market Outcomes”,Industrial & Labor Relations Review,66(2):315~345.
|
[31] |
Johnson,G. A.,R. A. Lewis and D. H. Reiley. 2017. “When Less Is More:Data and Power in Advertising Experiments”,Marketing Science,36(1):43~53.
|
[32] |
Mikalef,P. and A. Pateli. 2017. “Information Technology-enabled Dynamic Capabilities and Their Indirect Effect on Competitive Performance: Findings from PLS-SEM and FSQCA”,Journal of Business Research,70(1): 1~16.
|
[33] |
Mohammed,O. Q. and S. S. Rumaiya. 2014. “The Impact of Robotics on Employment and Motivation of Employees in the Service Sector with Special Reference to Health Care”,Safety and Health at Work, 2014,(5):198~202.
|
[34] |
Mokyr,J.,C. Vickers and N. L. Ziebarth. 2015. “The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?”,Journal of Economic Perspectives,29(3):31~50.
|
[35] |
Wadley,D. 2021. “Technology, Capital Substitution and Labor Dynamics: Global Workforce Disruption in the 21st Century? ”,Futures,132(5):102802.
|
[36] |
Wang,J.,Y. Hu and Z. M. Zhang. 2021. “Skill-biased Technological Change and Labor Market Polarization in China”,Economic Modelling,100(3):105507.
|
[37] |
Tang,C.,Y. Y. Xu, Y. Hao,H. T. Wu and Y. Xue. 2021. “What is the Role of Telecommunications Infrastructure Construction in Green Technology Innovation? A Firm-level Analysis for China”,Energy Economics,103: 105576.
|
[38] |
Yami,S.,Z. M. Chirgui,C. Spano and G. B. Olga. 2021. “Reinventing Science and Technology Entrepreneurship Education: The Role of Human and Social Capitals”,Technological Forecasting and Social Change,164(2):120044.
|
[39] |
Zhai,H. Y.,M. Yang and K. C. Chan. 2022. “Does Digital Transformation Enhance a Firm's Performance? Evidence from China”,Technology in Society,68: 101841.
|
|
|
|