The digital economy and job quality: Facilitator or inhibitor? --Evidence from micro-individuals

被引:4
作者
Cai, Yun [1 ]
Liu, Shuqing [1 ]
Zhang, Xia [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China
[2] Open Univ China, Sch Educ, Beijing, Peoples R China
关键词
Level of digital economy development; Individual employment quality; Multilevel regression model; Moderating effect; EMPLOYMENT; TECHNOLOGY; GROWTH;
D O I
10.1016/j.heliyon.2024.e26536
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The improvement of workers' employment quality is an important manifestation of high-quality economic development. Based on 13,969 valid samples from the China Family Panel Studies (CFPS) data, the paper examines the impact of urban digital economy development level on individual employment quality from a micro perspective using a multilevel regression model. The study finds that the level of urban digital economy development significantly promotes individual employment quality. For every 1 unit increase in the level of urban digital economy development, the quality of individual employment will increase by 1.033 units. And air quality positively moderates the relationship between urban digital economy development level and individual employment quality, i.e., in cities with good air quality, the urban digital economy development level has a more important role in promoting the quality of individual employment. Further heterogeneity analysis reveals that the level of digital economy development in cities has a more pronounced effect on the employment quality of males, younger workers (40 years old and below), and party members. To be more specific, every increase of one unit in the development level of urban digital economy will increase the employment quality by 1.649, 0.787, and 0.897 units, respectively. The above findings are useful for the formulation of policies to achieve high quality of employment and the implementation of environmental management plans.
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页数:12
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