|
|
Can M&As Promote the Optimization and Upgrading of Labor Structures? |
ZHAO Shuo, SHI Xinzheng, LU Yao, LIU Xinyue
|
School of Economics and Management, Tsinghua University; HSBC Business School, Peking University |
|
|
Abstract The impact of new technologies and automation on the optimization and upgrading of labor structures has received significant attention in academic circles. Studies indicate that the upgrade of production technology (including the introduction of technology and technological innovation) is closely related to changes in the labor structure (Ning and Lin, 2014; Kim et al., 2019). As the upgrade of production technology is inseparable from the demand for capital, the capital market affects the technical composition of the labor force through firms' investment and financing behaviors. At the same time, M&As are an important resource allocation activity of the capital market that receives a lot of attention from academia, industry, and government. Some studies, including Chen et al. (2015), Zhang et al. (2017), and Xian and Ming (2018), examine the relationship between M&As and technological upgrading. If M&As affect firms' technological upgrading and technological upgrading affects firms' demand for labor, how do M&As affect firms' technical labor demand? This issue is important both for academia and for practice. However, it has not received adequate attention in the literature. This paper fills this research gap by examining the effect of M&As on the labor force. This paper investigates the impact of M&As on target firms' labor structure upgrades. Using panel data from Chinese A-share firms listed on the Shanghai and Shenzhen exchanges from 2000 to 2016, we find that after controlling for firm, regional, industry, and other factors as well as labor-related policies and firm and year fixed effects, M&As significantly increase the percentages of non-routine skilled and highly educated employees in firms and significantly decrease the percentages of routine skilled employees. Furthermore, we find that M&As reduce firms' financial constraints and promote production technology upgrades, thereby accelerating firms' labor technology upgrades. Heterogeneous tests show that M&As have a stronger impact on labor technology upgrading for firms whose payment includes cash, and firms with low performance before the M&A. These findings suggest that M&As play an important role in promoting firms' technological upgrading of labor skills. Our results are robust to using instrumental variables, PSM-DID, and shortening the M&A window. This paper makes the following contributions to the literature. First, it belongs to the interdisciplinary field of finance and labor economics, its research topic currently being a frontier in this field. Second, the literature on M&As mainly examines their effect on “narrow stakeholders” (such as shareholders or management) and other corporate governance behaviors, whereas there is little research on how M&As affect “broad stakeholders” (such as the labor force). In addition, the literature on the effect of M&As on Chinese firms is limited to the effect of foreign M&As, and previous research on the effect of M&As on technological upgrading mainly focuses on the technological innovation of firms. Our sample includes both foreign and domestic M&As. And we find that the optimization and upgrading of the labor force structure is caused by the upgrade of production technology, and production technology upgrading includes not only technological innovation but also the purchase of advanced technology and equipment and the introduction of technology-related intangible assets (such as patents, advanced system software, etc.), which means that our sample is more comprehensive and our conclusions are more universal. Moreover, most studies on the demand for labor and technology focus on population and regional factors. This paper examines the effect of M&As on the capital market and fills a gap in the relevant literature. Finally, as described by Cheng et al. (2019), the amount of intelligent equipment used for production in China is increasing year by year, so it is of great practical significance to study the technological upgrade of China's labor market.
|
Received: 29 May 2019
Published: 02 November 2020
|
|
|
|
[1] |
陈玉罡、蔡海彬、刘子健和程瑜, 2015,《外资并购促进了科技创新吗?》,《会计研究》第9期, 第68~73页。
|
[2] |
郭凯明、余靖雯和龚六堂, 2013,《人口政策、劳动力结构与经济增长》,《世界经济》第11期,第72~92页。
|
[3] |
傅颀、汪祥耀和路军,2014,《管理层权力、高管薪酬变动与公司并购行为分析》,《会计研究》第11期,第30~37页。
|
[4] |
贺菊煌,1993,《产业结构的地区差异及衡量》,《数量经济技术经济研究》第8期,第32~35页。
|
[5] |
洪道麟、刘力和熊德华,2006,《多元化并购、企业长期绩效损失及其选择动因》,《经济科学》第5期,第63~73页。
|
[6] |
洪联英、陈思和韩峰,2015,《海外并购、组织控制与投资方式选择——基于我国的经验证据》,《管理世界》第10期,第40~53页。
|
[7] |
李卫兵和张凯霞,2019,《空气污染对企业生产率的影响——来自中国工业企业的证据》,《管理世界》第10期,第95~112页。
|
[8] |
李小荣、万钟和陆瑶,2019,《劳动力市场与公司金融关系研究进展》,《经济学动态》第3期,第120~133页。
|
[9] |
刘行和赵晓阳,2019,《最低工资标准的上涨是否会加剧企业避税?》,《经济研究》第10期,第121~135页。
|
[10] |
陆瑶、施新政和刘璐瑶,2017, 《劳动力保护与盈余管理—基于最低工资政策变动的实证分析》,《管理世界》第1期,第146~158页。
|
[11] |
陆瑶、张叶青、贾睿和李健航,2017,《“辛迪加”风险投资与企业创新》,《金融研究》第6期,第159~175页。
|
[12] |
宁光杰和林子亮,2014,《信息技术应用、企业组织变革与劳动力技能需求变化》,《经济研究》第8期,第79~92页。
|
[13] |
彭国华,2015,《技术能力匹配、劳动力流动与我国地区差距》,《经济研究》第1期,第99~110页。
|
[14] |
孙文杰,2013,《承接国际外包、价值链升级与我国高技能劳动力就业——基于工业行业的面板门槛模型》,《产业经济研究》第5期,第74~83页。
|
[15] |
王跃堂和倪婷婷,2015,《增值税转型、产权特征与企业劳动力需求》,《管理科学学报》第4期,第18~37页。
|
[16] |
冼国明和明秀楠,2018,《海外并购与企业创新》,《金融研究》第8期,第155~171页。
|
[17] |
杨蕙馨和李春梅,2013,《中国信息产业技术进步对劳动力就业及工资差距的影响》,《中国工业经济》第1期,第51~63页。
|
[18] |
张新,2003,《并购重组是否创造价值?——我国证券市场的理论与实证研究》,《经济研究》第6期,第20~29页。
|
[19] |
张学勇、柳依依、罗丹和陈锐,2017,《创新能力对上市公司并购业绩的影响》,《金融研究》第3期,第159~175页。
|
[20] |
赵颖,2012,《工资粘性、技能分化与劳动者工资的决定》,《经济研究》第2期,第56~68页。
|
[21] |
Acemoglu, D., 1998,“Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality”The Quarterly Journal of Economics,113( 4):1055~1089.
|
[22] |
Acemoglu, D., 2002,“Technical Change,Inequality and the Labor Market” Journal of Economic Literature,40( 1):7~72.
|
[23] |
Acemoglu, D., 2003, “Patterns of Skill Premia” Review of Economic Studies, 70(2): 199~230.
|
[24] |
Acemoglu, D. and P. Restrepo, 2019, “Artificial Intelligence, Automation and Work”in Ajay Agrawal, Joshua Gans, and Avi Goldfarb, eds.: The Economics of Artificial Intelligence: An Agenda(The University of Chicago Press, Chicago).
|
[25] |
Acs, Zoltan J. and David B. Audretsch, 1988, “Audretsch.Innovation in Large and Small Firms: An Empirical Analysis”The American Economic Review, 78(4): 678~690.
|
[26] |
Ansoff, H. L., 1965, “Corporate strategy: An Analytic Approach to Business Policy for Growth and Expansion”. Penguin Books, New York.
|
[27] |
Autor, David H., F. Levy and Richard J. Murnane, 2003, “The Skill Content of Recent Technological Change: An Empirical Exploration”The Quarterly Journal of Economics, 118(4): 1279~1333.
|
[28] |
Bertrand, O. and P. Zuniga, 2006, “R&D and M&A: Are Cross-Border M&A Different? An Investigation on OECD Countries” International Journal of Industrial Organization, 24(2):401~423.
|
[29] |
Borjas, George, J. 2005. “The Labor-Market Impact of High-Skill Immigration”, The American Economic Review, 95(2): 56~60.
|
[30] |
Chemmanur,Thomas J.,E. Loutskina,and X. Tian, 2014. “Corporate Venture Capital,Value Creation,and Innovation”Review of Financial Studies,27(8): 2434~2473.
|
[31] |
Cheng, H., R. Jia, D. Li, and H. Li, 2019, “The Rise of Robots in China”Journal of Economic Perspectives,33(2): 71~88.
|
[32] |
Erel, I., Y. Jang and Michael S. Weisbach, 2015, “Do Acquisitions Relieve Target Firms' Financial Constraints?” The Journal of Finance, 70(1): 289~328.
|
[33] |
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.
|
[34] |
Goldin, C. and Lawrence F. Katz, 1998, “The Origins of Technology-Skill Complementarity”The Quarterly Journal of Economics, 113(3): 693~732.
|
[35] |
Katz, Lawrence F. and Robert A. Margo, 2014, “Technical Change and the Relative Demand for Skilled Labor: The United States in Historical Perspective”. Chicago:University of Chicago Press.
|
[36] |
Kim, E. Han, Bruce Y. Li, Y. Lu and X. Shi, 2019, “How Seasoned Equity Offerings Affect Firms: Evidence on Technology, Employment, and Performance”Working Paper.
|
[37] |
Lin, C., Micah S. Officer and X. Zhan, 2014, “Does Competition Affect Earnings Management? Evidence from a Natural Experiment”Working Paper.
|
[38] |
Midrigan, V., and Daniel Y. Xu, 2014. “Finance and Misallocation: Evidence from Plant-Level Data” The American Economic Review, 104(2): 422~58.
|
[39] |
Nicole, W., and S. Joel, , 2020, “M&As, Investment and Financing Constraints”International Journal of the Economics of Business 27(1):49~92.
|
|
|
|