Volume 40 Issue 3
Apr.  2024
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Article Navigation >  Journal of University of Science and Technology Beijing ( Social Sciences Edition)  > 2024  >  40(3): 109-116
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
Citation: 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
shu

“Polarization” of Digital Employment and Research Developments

doi: 10.19979/j.cnki.issn10082689.2023070052

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

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

     

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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 4.9 %其他: 4.9 %China: 0.2 %China: 0.2 %Fremont: 0.2 %Fremont: 0.2 %Seattle: 0.1 %Seattle: 0.1 %Tulsa: 0.2 %Tulsa: 0.2 %三明: 0.2 %三明: 0.2 %三门峡: 0.1 %三门峡: 0.1 %上海: 0.7 %上海: 0.7 %中卫: 0.2 %中卫: 0.2 %中山: 0.1 %中山: 0.1 %丽水: 2.7 %丽水: 2.7 %佛山: 0.1 %佛山: 0.1 %佛罗伦萨: 0.2 %佛罗伦萨: 0.2 %信阳: 0.1 %信阳: 0.1 %六安: 0.2 %六安: 0.2 %包头: 0.3 %包头: 0.3 %北京: 2.2 %北京: 2.2 %十堰: 0.1 %十堰: 0.1 %南京: 0.7 %南京: 0.7 %南平: 0.4 %南平: 0.4 %南昌: 0.2 %南昌: 0.2 %南通: 0.9 %南通: 0.9 %厦门: 0.6 %厦门: 0.6 %台州: 1.3 %台州: 1.3 %合肥: 0.1 %合肥: 0.1 %吉林: 0.8 %吉林: 0.8 %咸阳: 1.6 %咸阳: 1.6 %哥伦布: 0.2 %哥伦布: 0.2 %唐山: 0.1 %唐山: 0.1 %嘉兴: 1.6 %嘉兴: 1.6 %大连: 2.1 %大连: 2.1 %天津: 0.4 %天津: 0.4 %太原: 0.2 %太原: 0.2 %宁德: 0.5 %宁德: 0.5 %宁波: 0.9 %宁波: 0.9 %安康: 0.5 %安康: 0.5 %宜春: 0.2 %宜春: 0.2 %宣城: 0.2 %宣城: 0.2 %宿迁: 0.8 %宿迁: 0.8 %常德: 0.5 %常德: 0.5 %广元: 0.2 %广元: 0.2 %广安: 0.1 %广安: 0.1 %广州: 1.2 %广州: 1.2 %廊坊: 0.2 %廊坊: 0.2 %弗吉尼亚州: 0.4 %弗吉尼亚州: 0.4 %张家口: 1.7 %张家口: 1.7 %徐州: 0.9 %徐州: 0.9 %德州: 0.2 %德州: 0.2 %成都: 0.4 %成都: 0.4 %扬州: 0.1 %扬州: 0.1 %抚州: 1.3 %抚州: 1.3 %无锡: 0.9 %无锡: 0.9 %日照: 0.4 %日照: 0.4 %昆明: 0.6 %昆明: 0.6 %景德镇: 0.1 %景德镇: 0.1 %朝阳: 0.9 %朝阳: 0.9 %杭州: 1.8 %杭州: 1.8 %枣庄: 0.2 %枣庄: 0.2 %株洲: 0.1 %株洲: 0.1 %榆林: 0.6 %榆林: 0.6 %武汉: 0.6 %武汉: 0.6 %汕头: 0.7 %汕头: 0.7 %江门: 0.1 %江门: 0.1 %池州: 1.0 %池州: 1.0 %沈阳: 0.9 %沈阳: 0.9 %泉州: 0.1 %泉州: 0.1 %泰安: 0.1 %泰安: 0.1 %泰州: 0.2 %泰州: 0.2 %泸州: 0.5 %泸州: 0.5 %洛阳: 0.1 %洛阳: 0.1 %济南: 0.8 %济南: 0.8 %济宁: 0.1 %济宁: 0.1 %济源: 0.1 %济源: 0.1 %海东: 0.1 %海东: 0.1 %海西: 0.1 %海西: 0.1 %淄博: 0.1 %淄博: 0.1 %淮安: 0.5 %淮安: 0.5 %深圳: 0.2 %深圳: 0.2 %温州: 0.5 %温州: 0.5 %渭南: 1.0 %渭南: 1.0 %湖州: 0.8 %湖州: 0.8 %湘潭: 0.1 %湘潭: 0.1 %湘西: 0.7 %湘西: 0.7 %湛江: 0.1 %湛江: 0.1 %漯河: 0.7 %漯河: 0.7 %漳州: 0.8 %漳州: 0.8 %烟台: 0.1 %烟台: 0.1 %珠海: 0.4 %珠海: 0.4 %盐城: 0.6 %盐城: 0.6 %盘锦: 0.2 %盘锦: 0.2 %石家庄: 1.4 %石家庄: 1.4 %福州: 0.5 %福州: 0.5 %秦皇岛: 0.3 %秦皇岛: 0.3 %绍兴: 1.2 %绍兴: 1.2 %绵阳: 0.2 %绵阳: 0.2 %自贡: 0.1 %自贡: 0.1 %舟山: 0.5 %舟山: 0.5 %芒廷维尤: 14.4 %芒廷维尤: 14.4 %芜湖: 0.1 %芜湖: 0.1 %芝加哥: 0.8 %芝加哥: 0.8 %苏州: 0.5 %苏州: 0.5 %荆州: 0.3 %荆州: 0.3 %荆门: 0.5 %荆门: 0.5 %莆田: 0.4 %莆田: 0.4 %营口: 0.4 %营口: 0.4 %衡阳: 0.1 %衡阳: 0.1 %襄阳: 0.5 %襄阳: 0.5 %西宁: 8.8 %西宁: 8.8 %西安: 0.9 %西安: 0.9 %贵阳: 0.1 %贵阳: 0.1 %辽阳: 0.2 %辽阳: 0.2 %连云港: 0.4 %连云港: 0.4 %通化: 0.2 %通化: 0.2 %邵阳: 0.2 %邵阳: 0.2 %郑州: 5.1 %郑州: 5.1 %郴州: 0.7 %郴州: 0.7 %重庆: 1.1 %重庆: 1.1 %金华: 0.5 %金华: 0.5 %铁岭: 1.2 %铁岭: 1.2 %锦州: 0.3 %锦州: 0.3 %长沙: 1.1 %长沙: 1.1 %阳泉: 0.1 %阳泉: 0.1 %随州: 0.3 %随州: 0.3 %雅安: 0.3 %雅安: 0.3 %青岛: 0.5 %青岛: 0.5 %鞍山: 2.8 %鞍山: 2.8 %香港: 0.1 %香港: 0.1 %马湾: 0.2 %马湾: 0.2 %驻马店: 0.1 %驻马店: 0.1 %鹰潭: 0.1 %鹰潭: 0.1 %黄冈: 0.8 %黄冈: 0.8 %黄南: 0.2 %黄南: 0.2 %黄山: 0.1 %黄山: 0.1 %黄石: 0.2 %黄石: 0.2 %其他ChinaFremontSeattleTulsa三明三门峡上海中卫中山丽水佛山佛罗伦萨信阳六安包头北京十堰南京南平南昌南通厦门台州合肥吉林咸阳哥伦布唐山嘉兴大连天津太原宁德宁波安康宜春宣城宿迁常德广元广安广州廊坊弗吉尼亚州张家口徐州德州成都扬州抚州无锡日照昆明景德镇朝阳杭州枣庄株洲榆林武汉汕头江门池州沈阳泉州泰安泰州泸州洛阳济南济宁济源海东海西淄博淮安深圳温州渭南湖州湘潭湘西湛江漯河漳州烟台珠海盐城盘锦石家庄福州秦皇岛绍兴绵阳自贡舟山芒廷维尤芜湖芝加哥苏州荆州荆门莆田营口衡阳襄阳西宁西安贵阳辽阳连云港通化邵阳郑州郴州重庆金华铁岭锦州长沙阳泉随州雅安青岛鞍山香港马湾驻马店鹰潭黄冈黄南黄山黄石

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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