“Polarization” of Digital Employment and Research Developments

GAO Xiujuan

doi:10.19979/j.cnki.issn10082689.2023070052

Volume 40 Issue 3

Apr. 2024

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GAO Xiujuan. “Polarization” of Digital Employment and Research Developments[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2024, 40(3): 109-116. doi: 10.19979/j.cnki.issn10082689.2023070052

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GAO Xiujuan. “Polarization” of Digital Employment and Research Developments[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2024, 40(3): 109-116. doi: 10.19979/j.cnki.issn10082689.2023070052

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“Polarization” of Digital Employment and Research Developments

doi: 10.19979/j.cnki.issn10082689.2023070052

GAO Xiujuan

Department of Human Resource Management, China Women’s University, Beijing 100101, China

Received Date: 2023-07-15
Publish Date: 2024-04-19

Abstract

Abstract

The phenomenon of “polarization” in digital employment is widespread around the world. The employment of high- and low-skilled labor increases and the employment of middle-skilled labor decreases, which leads to the controversy between the views of “machine-replacement” and “machine-created employment”. The academic community has come to different conclusions on this issue, and has not revealed the full picture of the "polarization" mechanism. This paper presents the research developments and frontiers of relate issues by comprehensively combing and analyzing the domestic and international literature, draws on the existing research experience, and condenses the mechanism and formation path behind the “polarization”, which is used to analyze the current situation of employment and income polarization in China. This paper proposes a framework model of factor market and product market in employment, in which the product market plays the role of inducing the labor demand, and the factor market builds the traditional three-factor model of digital technology and “information-labor-capital”, and introduces the “technology-data-factor” model. The role of technology in information generates information monopoly and information asymmetry, which includes high-skilled workers in the labor market and excludes low-skilled workers from the market. Besides, the role of technology in labor directly generates employment polarization, which is manifested in the total effect of creating and destroying labor and employment. Additionally, the role of technology in capital determines the negotiation power of labor and capital in how to distribute the income created by the two. Data factors are dependent on digital labor, which is easy to form the “unipolar” result of “strengthened” high-skilled labor and “weakened” middle- and low-skilled digital labor. Finally, the magnitude of employment polarization depends on the result of the joint game between traditional factors, digital factors and product markets.
- digital employment,
- polarization,
- technological progress,
- digital data,
- artificial intelligence

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References

[1]	BRYNJOLFSSON E & MCAFEE A. Race Against the Machine:How the Digital revolution is Accelerating Iinnovation,Driving Productivity,and Irreversibly Transforming Employment and the Economy[M]. Lexington:Digital Frontier Press,2012.
[2]	ACEMOGLU D & RESTREPO P. Robots and jobs:Evidence from US labor markets [J]. Journal of Political Economy,2020,128(6):2188-2244. doi: 10.1086/705716
[3]	程承坪,彭欢. 人工智能影响就业的机理及中国对策[J]. 中国软科学,2018(10):62-70. doi: 10.3969/j.issn.1002-9753.2018.10.008
[4]	潘丹丹. 人工智能的就业反极化效应研究[J]. 现代经济探讨,2019(12):25-31,65. doi: 10.3969/j.issn.1009-2382.2019.12.006
[5]	王永钦,董雯. 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[J]. 经济研究,2020,55(10):159-175.
[6]	AUTOR D H,LEVY F & MURNANE R J. The skill content of recent technological change:An empirical exploration [J]. Quarterly Journal of Economics,2003,118(4):1279-1333. doi: 10.1162/003355303322552801
[7]	杨虎涛,冯鹏程. 去技能化被证伪了吗?——基于就业极化与技能溢价的考察[J]. 当代经济研究,2020(10):2,50-63,113.
[8]	杜传忠,许冰. 第四次工业革命对就业结构的影响及中国的对策[J]. 社会科学战线,2018(2):68-74.
[9]	AUTOR D H. Polanyi’s paradox and the shape of employment growth[J/OL]. National Bureau of Economic Research. (2014-09) [2023-12-01]. https://www.nber.org/system/files/working_papers/w20485/w20485.pdf.
[10]	FINNIGAN D. Robots and automation may not take your desk job after all[J/OL]. Harvard Business Review. (2016-11-22)[2023-12-01]. https://hbr.org/2016/11/robots-and-automation-may-not-take-your-desk-job-after-all.
[11]	WRIGHT E O & DWYER R E. The patterns of job expansions in the USA:A comparison of the 1960s and 1990s [J]. Socio-Economic Review,2003,1(3):289-325. doi: 10.1093/soceco/1.3.289
[12]	BERNARD A & JONES C. Technology and convergence [J]. The Economics Journal,1996,106(437):1037-44. doi: 10.2307/2235376
[13]	AGHION P & HOWITT P. Growth and unemployment [J]. Review of Economic Studies,1994,61(3):477-494. doi: 10.2307/2297900
[14]	DOWRICK S & ROGEST M. Classical and technological convergence:Beyond the solow-swan growth model [J]. Oxford Economic Papers,2002,54(3):369-385. doi: 10.1093/oep/54.3.369
[15]	孔艳芳,刘建旭,赵忠秀. 数据要素市场配置研究:内涵解构、运行机理与实践路径[J]. 经济学家,2021(11):24-32.
[16]	马克思. 资本论(第3卷)[M]. 北京:人民出版社,1975.
[17]	DIETL H. Selling information on the internet [J]. Hitotsubashi Journal of Commerce and Management,1999,34(1):1-14.
[18]	初传凯. 马克思主义劳动价值论视域下数字劳动探究[J]. 中共乐山市委党校学报,2021,23(6):30-37.
[19]	徐少俊,郑江淮. 信息化引致中国劳动力市场极化了吗——多层次技能深化假说与检验[J]. 经济问题探索,2020(7):157-167.
[20]	LEE N & CLARKE S. Do low-skilled workers gain from high-tech employment growth? High-technology multipliers,employment and wages in Britain. Research Policy,https://doi.org/10.1016/j.respol.2019.05.012.
[21]	HUNT J & NUNN R. Is employment polarization informative about wage inequality and is employment really polarizing? [R]. Cambridge:Social Science Electronic Publishing,2019.
[22]	ACEMOGLU D & RESTREPO P. Low-skill and high-skill automation [J]. Journal of Human Capital,2018,12(2):204-232. doi: 10.1086/697242
[23]	纪雯雯. 数字经济与未来工作[J]. 中国劳动关系学院学报,2017,31(6):37-47.
[24]	唐永,蒋永穆. 产业结构服务化会导致中国劳动力市场极化吗?[J]. 经济评论,2022(2):51-69.
[25]	江永红,张彬,郝楠. 产业结构升级是否引致劳动力“极化”现象[J]. 经济学家,2016(3):24-31.
[26]	陈仪,李亚楠. 全球趋势背景下我国劳动力市场就业极化问题初探[J]. 新视野,2023(5):105-113.
[27]	程旭,睢党臣. 人工智能时代就业信息不对称分析及规避策略[J]. 宁夏社会科学,2021(1):120-127.
[28]	邱玥,杜辉. 人工智能对就业的影响因素及作用机制研究[J]. 中国劳动关系学院学报,2019,33(3):5-14.
[29]	ERIKSSON C. Is there a trade-off between employment and growth? [J]. Oxford Ecnomics Papers,1997,49(1):77-88. doi: 10.1093/oxfordjournals.oep.a028598
[30]	姚战琪,夏杰长. 资本深化、技术进步对中国就业效应的经验分析[J]. 世界经济,2005(1):58-67,180.
[31]	蒋南平,邹宇. 人工智能与中国劳动力供给侧结构性改革[J]. 四川大学学报,2018(1):130-138.
[32]	吴清军,陈轩,王非,等. 人工智能是否会带来大规模失业?——基于电商平台人工智能技术、经济效益与就业的测算[J]. 山东社会科学,2019(3):73-80.
[33]	ACEMOGLU D. Technical change,inequlity and the labor market [J]. Journal of Economic Literature,2002,40(1):7-72. doi: 10.1257/jel.40.1.7
[34]	KATZ L F. Changes in the wage structure and earnings inequality[J]. Handbook of Labor Economics,1999(3):1463-1555.
[35]	AUTOR D H,KATZ L F & KRUGER A B. Computing inequality:have computers changed the labor market? [J]. The Quarterly Journal of Economocs,1998,113(4):1169-1213. doi: 10.1162/003355398555874
[36]	宋冬林,王林辉,董直庆. 技能偏向型技术进步存在吗?——来自中国的经验证据[J]. 经济研究,2010(5):68-81.
[37]	王君,张于喆,张义博,等. 人工智能等新技术进步影响就业的机理与对策[J]. 宏观经济研究,2017(10):169-181.
[38]	孙早,侯玉琳. 智能化推动就业结构深刻变革[N]. 中国社会科学报,2019-7-24(04).
[39]	郝楠,江永红. 谁影响了中国劳动力就业极化?[J]. 经济与管理研究,2017,38(5):75-85.
[40]	王晓霞,白重恩. 劳动收入份额格局及其影响因素研究进展[J]. 经济学动态,2014(3):107-115.
[41]	傅晓霞,吴利学. 偏性效率改进与中国要素回报份额变化[J]. 世界经济,2013,36(10):79-102.
[42]	AUTRO D & SALOMONS A. Is automation labor share-displacing? Productivity growth,employment,and the labor share[J]. National Bureau of Economic,2018(1):1-63.
[43]	姜耀东. 数字时代资本主义生产关系中数字劳动的价值走向——基于马克思整治经济学的批判[J]. 东北大学学报(社会科学版),2021,23(6):108-113.
[44]	于苗苗. 人工智能时代人力资本对现代服务业就业的影响研究[J]. 北京科技大学学报(社会科学版),2020,36(2):82-88.