Can artificial intelligence contribute to the new energy system? Based on the perspective of labor supply

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES
Chien-Chiang Lee , Jiangnan Li , Jingyang Yan
{"title":"Can artificial intelligence contribute to the new energy system? Based on the perspective of labor supply","authors":"Chien-Chiang Lee ,&nbsp;Jiangnan Li ,&nbsp;Jingyang Yan","doi":"10.1016/j.techsoc.2025.102877","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence (AI) is becoming a decisive force in driving humanity into the smart era. The energy sector has recognized AI as a powerful technological tool and extensively uses industrial robots to assist with energy production, transportation, and consumption. Meanwhile, changes in labor supply, including regional migration, demographic shifts, and improvements in workforce quality, are attracting attention. This paper explores the relationship between AI and the new energy system (ES) and examines the moderating effects of labor supply. The study finds that AI significantly enhances ES efficiency by improving production, reducing labor costs, and promoting innovation in new energy technologies. Increased migration of young adults leads local businesses to hire more external labor, which temporarily hinders AI technology adoption, with labor supply quantity negatively moderating AI's impact on ES. Deepening social aging drives industrial digitalization and automation, increasing energy demand among the elderly, with labor supply structure positively moderating the impact. Advanced education depletes household savings and limits investment capacity, with labor supply quality negatively moderating the impact. Quantile regression in the heterogeneity analysis shows that AI's positive impact is stronger at higher ES levels. Subsample regression indicates that higher openness, economic development, urbanization, and technical innovation, along with lower government intervention, are beneficial for AI's positive effects. Based on the predictions from the ETS model, we have developed new insights into the relationship between AI and the energy system. Existing literature on the development of AI and the energy industry has not taken into account the complexity of labor supply conditions in China. This paper, from the perspective of changes in labor supply, provides a valuable contribution to this field and offers insights for other scholars.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102877"},"PeriodicalIF":10.1000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25000673","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0

Abstract

Artificial intelligence (AI) is becoming a decisive force in driving humanity into the smart era. The energy sector has recognized AI as a powerful technological tool and extensively uses industrial robots to assist with energy production, transportation, and consumption. Meanwhile, changes in labor supply, including regional migration, demographic shifts, and improvements in workforce quality, are attracting attention. This paper explores the relationship between AI and the new energy system (ES) and examines the moderating effects of labor supply. The study finds that AI significantly enhances ES efficiency by improving production, reducing labor costs, and promoting innovation in new energy technologies. Increased migration of young adults leads local businesses to hire more external labor, which temporarily hinders AI technology adoption, with labor supply quantity negatively moderating AI's impact on ES. Deepening social aging drives industrial digitalization and automation, increasing energy demand among the elderly, with labor supply structure positively moderating the impact. Advanced education depletes household savings and limits investment capacity, with labor supply quality negatively moderating the impact. Quantile regression in the heterogeneity analysis shows that AI's positive impact is stronger at higher ES levels. Subsample regression indicates that higher openness, economic development, urbanization, and technical innovation, along with lower government intervention, are beneficial for AI's positive effects. Based on the predictions from the ETS model, we have developed new insights into the relationship between AI and the energy system. Existing literature on the development of AI and the energy industry has not taken into account the complexity of labor supply conditions in China. This paper, from the perspective of changes in labor supply, provides a valuable contribution to this field and offers insights for other scholars.
人工智能能为新能源体系做出贡献吗?基于劳动力供给的视角
人工智能(AI)正在成为推动人类进入智能时代的决定性力量。能源领域已经认识到人工智能是一种强大的技术工具,并广泛使用工业机器人来辅助能源生产、运输和消费。与此同时,地区迁移、人口结构变化、劳动力素质提高等劳动力供给变化也备受关注。本文探讨了人工智能与新能源系统之间的关系,并考察了劳动力供给的调节作用。研究发现,人工智能通过改善生产、降低劳动力成本和促进新能源技术的创新,显著提高了ES的效率。年轻人迁移的增加导致当地企业雇佣更多的外部劳动力,这暂时阻碍了人工智能技术的采用,劳动力供给量负向调节人工智能对ES的影响。社会老龄化程度加深带动产业数字化、自动化,增加老年人能源需求,劳动力供给结构正向调节。高等教育耗尽了家庭储蓄,限制了投资能力,劳动力供给质量负向调节了这种影响。异质性分析的分位数回归显示,在较高的ES水平上,AI的正向影响更强。亚样本回归表明,开放度、经济发展程度、城市化程度和技术创新程度的提高以及政府干预程度的降低有利于人工智能的正向效应。基于ETS模型的预测,我们对人工智能和能源系统之间的关系有了新的见解。现有关于人工智能和能源产业发展的文献没有考虑到中国劳动力供给条件的复杂性。本文从劳动力供给变化的角度出发,为这一领域做出了宝贵的贡献,也为其他学者提供了借鉴。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信