数字经济对河北省就业质量影响及对策研究
雷晔雯1, 刘明昊1, 邵宇2
1. 河北工业职业技术大学 工商管理系, 河北 石家庄 050019;
2. 河北开放大学, 河北 石家庄 050080
起止页码: 71--77页
DOI:
摘要：
采集河北省代表数字经济、就业质量发展水平的41类指标数据，运用熵权构建反映河北省数字经济和就业质量的评估指标系，就数字经济对就业质量的影响进行最小二乘法回归分析。结果发现，河北省的数字经济发展对就业品质产生明显正面效应，包括数字基础建设的完善、各类数字产业发展以及产业数字化整合运用等方面的重大改进，都为河北省的就业情况带来了积极的变化。这些举措不但扩展了工作岗位，同时也优化了职场环境，有利于实现更高品质的工作，为河北省的社会经济发展增添了新动力。因此，未来河北省要加大对数字化基础的投入，改善交通通达度，加快探索数字人才的培育和现有人才的数字化转型培训等的政策建议。
Research on the Impact of Digital Economy on the Employment Quality in Hebei Province and the Countermeasures
LEI Yewen1, LIU Minghao1, SHAO Yu2
1. Department of Business Administration, Hebei College of Industry and Technology, Shijiazhuang, Hebei 050019;
2. Hebei Open University, Shijiazhuang, Hebei 050080, China
Abstract:
The study collects 41 kinds of index data representing the development level of digital economy and employment quality in Hebei Province, constructs an evaluation index system reflecting digital economy and employment quality in Hebei Province by using entropy weight, and makes least square regression analysis on the impact of digital economy on employment quality. The results show that the development of digital economy in Hebei Province has obvious positive effects on the quality of employment, including the improvement of digital infrastructure, the development of various digital industries and the integration and application of digital industries, all of which have brought positive changes to the employment situation in Hebei Province. These measures not only expand jobs, but also optimize the workplace environment, which is conducive to achieving higher quality jobs and adding new impetus to the social and economic development of Hebei Province. Therefore, in the future, Hebei Province should increase investment in digital infrastructure, improve traffic accessibility, and accelerate the exploration of digital talent cultivation and digital transformation training for existing talents.
收稿日期: 2024-3-23
基金项目: 河北省人力资源和社会保障研究课题“数字经济和人工智能等对我省就业影响及对策研究”（JRS-2023-1253）
参考文献：
[1]Erik Brynjolfsson, Andrew McAfee. Race against the machine:How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy[M]. Londen:Digital Frontier Press, 2011:75-93.
[2]Daron Acemoglu, Pascual Restrepo. Low-skill and high-skill automation[J]. Journal of Human Capital, 2018, 12(2):204-232.
[3]Melanie Arntz, Terry Gregory, Ulrich Zierahn. Revisiting the risk of automation[J]. Economics Letters, 2017, 159:157-160.
[4]Hong Cheng, Ruixue Jia, Dandan Li, et al. The rise of robots in China[J]. Journal of Economic Perspectives, 2019, 33(2):71-88.
[5]Grace Lordan, David Neumark. People versus machines:The impact of minimum wages on automatable jobs[J]. Labour Economics, 2018, 52:40-53.
[6]Georg Graetz, Guy Michaels. Robots at work[J]. Review of Economics and Statistics, 2018, 100(5):753-768.
[7]徐玲,杨雪峰,谢唯薇.陕西省就业结构现状及对策[J].价值工程,2017(36):30-31.
[8]贾辉.我国生产性服务业就业与影响因素研究[D].北京:首都经济贸易大学,2013.
[9]杨伟国.从工业化就业到数字化工作:新工作范式转型与政策框架[J].行政管理改革,2021(4):77-83.
[10]王文.数字经济发展时代下工业智能化促进了高质量就业吗[J].经济学家,2020(4):89-98.
[11]河北省人民政府.河北省政府新闻办"2023年河北经济运行情况"新闻发布会文字实录[EB/OL].(2024-01-19)[2024-02-23]. http://www.hebei.gov.cn/columns/6b529089-3c22-40ef-8d24-fda72cb33bf5/202401/27/1a11d7c2-983b-4364-973b-f6857fe42ce0.html.
[12]龚六堂.数字经济就业的特征、影响及应对策略[J].国家治理,2021(23):29-35.
[13]高翔宇.数字经济下京津冀区域产业结构与就业结构协调发展的研究[J].环渤海经济瞭望,2019(3):80.
[14]许宪春,张美慧.中国数字经济规模测算研究--基于国际比较的视角[J].中国工业经济,2020(5):23-41.
[15]赖德胜,苏丽锋,孟大虎,等.中国各地区就业质量测算与评价[J].经济理论与经济管理,2011(11):88-99.
[16]刘军,杨渊鋆,张三峰.中国数字经济测度与驱动因素研究[J].上海经济研究,2020(6):81-96.