数字经济已成为驱动全球创新与实现包容性增长的关键动力,同时也对就业市场造成冲击。现有文献虽探讨了数字经济对就业的影响,但对非正规就业群体仍缺乏充分关注。非正规就业在我国总就业中占比过半,是实现高质量就业的重要方面。文章基于中国家庭追踪调查(CFPS)微观数据,考察了城市层面数字经济发展对个体从事非正规就业的影响。研究发现,城市数字经济发展显著降低了个体进入非正规就业的概率。具体而言,城市数字经济发展主要通过缓解信息不对称和提升劳动者技能两条路径,减少了居民个体的非正规就业。进一步考虑非正规就业的内部异质性发现,数字经济发展主要抑制了被动型非正规就业,对主动型非正规就业的影响较小,且对不同技能水平及不同性别劳动力的影响也存在差异。拓展性分析显示,数字经济发展提高了个体由非正规就业转向正规就业的概率,但对劳动者从正规就业转入非正规就业岗位的作用并不明显。因此,在推进数字经济建设过程中,我国在关注数字经济发展对劳动力就业影响的同时,应更加重视非正规就业市场,以更好实现更加充分、更高质量的就业目标。
数字经济时代个体非正规就业选择研究
摘要
参考文献
2 陈贵富, 韩静, 韩恺明. 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[J]. 中国工业经济, 2022, (8): 118−136. DOI:10.3969/j.issn.1006-480X.2022.08.007
8 戚聿东, 褚席. 数字生活的就业效应: 内在机制与微观证据[J]. 财贸经济, 2021, (4): 98−114. DOI:10.3969/j.issn.1002-8102.2021.04.007
9 戚聿东, 刘翠花. 数字经济背景下互联网使用是否缩小了性别工资差异——基于中国综合社会调查的经验分析[J]. 经济理论与经济管理, 2020, (9): 70−87. DOI:10.3969/j.issn.1000-596X.2020.09.006
12 仇化, 尹志超. 数字化转型、信息搜寻与女性高质量就业[J]. 财贸经济, 2023, (7): 124−141. DOI:10.3969/j.issn.1002-8102.2023.07.008
13 沈梓鑫, 江飞涛. 释放传统制造业稳就业潜能[N]. 经济日报, 2022-06-08(10).
15 王俊. 经济集聚、技能匹配与大城市工资溢价[J]. 管理世界, 2021, (4): 83−97. DOI:10.3969/j.issn.1002-5502.2021.04.008
21 叶胥, 杜云晗, 何文军. 数字经济发展的就业结构效应[J]. 财贸研究, 2021, (4): 1−13.
22 朱峰, 李浩然, 傅志明. 机器人冲击、产业结构转型与就业正规性[J]. 中国经济问题, 2024, (2): 182−196.
23 Arias J, Artuc E, Lederman D, et al. Trade, informal employment and labor adjustment costs[J]. Journal of Development Economics, 2018, 133: 396−414. DOI:10.1016/j.jdeveco.2018.03.006
24 Cisneros-Acevedo C. Unfolding trade effect in two margins of informality. The Peruvian case[J]. The World Bank Economic Review, 2022, 36(1): 141−170. DOI:10.1093/wber/lhab023
25 Deming D, Kahn L B. Skill requirements across firms and labor markets: Evidence from job postings for professionals[J]. Journal of Labor Economics, 2018, 36(S1): S337−S369. DOI:10.1086/694106
26 Fields G S. Informality and work status[R]. WIDER Working Paper, 2020.
27 Guo B N, Wang Y, Zhang H, et al. Impact of the digital economy on high-quality urban economic development: Evi- dence from Chinese cities[J]. Economic Modelling, 2023, 120: 106194. DOI:10.1016/j.econmod.2023.106194
28 ILO. Decent work and the informal economy[A]. International labour conference 90th session[C]. Geneva: ILO, 2002.
29 Jin X, Lyu K Y. The impact of digital economy on emerging employment trends: Insights from the China Family Panel Survey (CFPS)[J]. Finance Research Letters, 2024, 64: 105418. DOI:10.1016/j.frl.2024.105418
30 Kellogg K C, Valentine M A, Christin A. Algorithms at work: The new contested terrain of control[J]. Academy of Management Annals, 2020, 14(1): 366−410. DOI:10.5465/annals.2018.0174
31 Lederman D, Zouaidi M. Incidence of the digital economy and frictional unemployment: International evidence[J]. Applied Economics, 2022, 54(51): 5873−5888. DOI:10.1080/00036846.2022.2054927
32 Li Z, Liang Z. Gender and job mobility among rural to urban temporary migrants in the Pearl River Delta in China[J]. Urban Studies, 2016, 53(16): 3455−3471. DOI:10.1177/0042098015615747
33 Piore M J. Labor market segmentation: To what paradigm does it belong?[J]. The American Economic Review, 1983, 73(2): 249−253.
34 Wang F C, Liang Z, Lehmann H. Import competition and informal employment: Empirical evidence from China[J]. Available at SSRN 3903140, 2021.
35 Williams C C, Kayaoglu A. Revisiting the undeclared service economy as a dual labour market: Lessons from a 2019 Eurobarometer survey[J]. The Service Industries Journal, 2023, 43(13−14): 940−961. DOI:10.1080/02642069.2021.1932830
36 Wu B Z, Yang W G. Empirical test of the impact of the digital economy on China's employment structure[J]. Finance Research Letters, 2022, 49: 103047. DOI:10.1016/j.frl.2022.103047
引用本文
陈琳, 于琳慧, 高燕丽. 数字经济时代个体非正规就业选择研究[J]. 财经研究, 2025, 51(12): 106-120.
导出参考文献,格式为:





75
63

