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数字经济推动产业结构高级化对高质量就业的影响及预测研究
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Abstract:
中国式现代化是全体人民共同富裕的现代化,而促进劳动者高质量就业是扎实推进共同富裕的重要途径。近年来,随着数字经济的发展,我国产业结构已经发生了根本性的变化,这对就业环境带来了深远的影响。在此背景下,本文利用全国各省市2011~2022年的相关数据以及相关资料,建立数字经济以及高质量就业评价指标体系,逐步探究数字经济如何推动产业结构高级化影响高质量就业。在研究方法上,本文首先利用词云图和LDA建模文本分析高质量就业现状,发现数字经济与产业结构的关系;构建中介模型,把产业结构高级化作为中介变量,探究其对数字经济和高质量就业之间产生的中介效应,并且利用LSTM神经网络预测未来五年各省市高质量就业状况。基于上述研究,本文得出以下结论:数字经济对产业结构高级化贡献较大;数字经济通过推动产业结构高级化影响高质量就业具有显著的中介效应,未来五年北上广等城市在高质量就业水平发展上依旧具有明显的优势。基于此,本文最后针对性地提出一些相关建议。
Chinese-style modernization means common prosperity for all people, and promoting high-quality employment for workers is an important way to solidly promote common prosperity. In recent years, with the development of digital economy, the industrial structure of China has had a funda-mental change, which has brought a profound impact on the employment environment. In this con-text, by using the relevant data and information from 2011 to 2022 of various provinces and cities across the country, this paper establishes the digital economy and high-quality employment evalu-ation index system, and gradually explores how the digital economy promotes the upgrading of in-dustrial structure to affect high-quality employment. In terms of research methods, this paper first analyzes the current situation of high-quality employment by using the word cloud map and LDA modeling text, and finds the relationship between digital economy and industrial structure; the in-termediary model is constructed, taking the upgrading of industrial structure as the intermediary variable, to explore its mediating effect on the digital economy and high-quality employment and predict the high-quality employment in each province and city in the next five years by using LSTM neural network. Based on the above research, this paper draws the following conclusions: under the digital economy, the upgrading of industrial structure contributes more; digital economy has a sig-nificant intermediary effect on high-quality employment by promoting the upgrading of industrial structure, and cities such as Beijing, Shanghai and Guangzhou still have obvious advantages in the development of high-quality employment in the next five years. Based on this, this paper finally puts forward some relevant suggestions.
[1] | 曹静, 周亚林. 人工智能对经济的影响研究进展[J]. 经济学动态, 2018(1): 103-115. |
[2] | 王文. 数字经济时代下工业智能化促进了高质量就业吗[J]. 经济学家, 2020, 256(4): 89-98. |
[3] | 张顺. 数字经济时代如何实现更充分更高质量就业[J]. 北京工商大学学报(社会科学版), 2022, 37(6): 12-21. |
[4] | 沈运红, 黄桁. 数字经济水平对制造业产业结构优化升级的影响研究——基于浙江省2008-2017年面板数据[J].科技管理研究, 2020, 40(3): 147-154. |
[5] | 徐伟呈, 周田, 郑雪梅. 数字经济如何赋能产业结构优化升级——基于ICT对三大产业全要素生产率贡献的视角[J]. 中国软科学, 2022, 381(9): 27-38. |
[6] | 刘洋, 陈晓东. 中国数字经济发展对产业结构升级的影响[J]. 经济与管理研究, 2021, 42(8): 15-29. |
[7] | 张姝, 王雪标. 数字经济对产业结构升级影响的实证检验[J]. 统计与决策, 2023, 39(3): 15-20. |
[8] | 陈永强, 张昕钰. 数字经济发展对地区产业结构优化的影响机制——基于2011-2019年省级面板数据的实证分析[J]. 财经论丛(浙江财经学院学报), 2023, 297(4): 14-23. |
[9] | 郭东杰, 周立宏, 陈林. 数字经济对产业升级与就业调整的影响[J]. 中国人口科学, 2022, 210(3): 99-110+128. |
[10] | 李杰, 苏清兰. 数字经济促进产业结构升级的实证分析[J]. 现代管理科学, 2022, 336(5): 127-137. |
[11] | 赵瑞娟, 李薇. 数字普惠金融对碳排放的影响机制与空间溢出研究——基于产业结构升级的中介效应[J]. 现代金融, 2023, 480(2): 49-56. |
[12] | 王健, 宋颖, 吴涛. 基于LSTM网络与误差补偿的预测模型[J]. 计算机技术与发展, 2023, 33(3): 133-138. |
[13] | 谢辉煌, 金毅, 张忠杰, 等. 基于LSTM网络的粮食干燥机水分预测与优化[J/OL]. 中国粮油学报, 2023: 1-14.
s://doi.org/10.20048/j.cnki.issn.1003-0174.000180 |
[14] | Huang, P. and Wu, Y.F. (2023) Teacher-Student Training Ap-proach Using an Adaptive Gain Mask for LSTM-Based Speech Enhancement in the Airborne Noise Environment. Chinese Journal of Electronics, 32, 882-895.
s://doi.org/10.23919/cje.2022.00.307 |