Nexus between green technology innovation and climate policy uncertainty: Unleashing the role of artificial intelligence in an emerging economy

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-10-22 DOI:10.1016/j.techfore.2024.123820
Rabia Akram , Qiyuan Li , Mohit Srivastava , Yulu Zheng , Muhammad Irfan
{"title":"Nexus between green technology innovation and climate policy uncertainty: Unleashing the role of artificial intelligence in an emerging economy","authors":"Rabia Akram ,&nbsp;Qiyuan Li ,&nbsp;Mohit Srivastava ,&nbsp;Yulu Zheng ,&nbsp;Muhammad Irfan","doi":"10.1016/j.techfore.2024.123820","DOIUrl":null,"url":null,"abstract":"<div><div>With the continuous evolution of the new technological revolution and industrial transformation, industrial robots' widespread application of artificial intelligence has profoundly influenced the economic growth model. The improvement of natural resource utilization efficiency is an essential indicator for measuring the high-quality development of the economy (HQED). This paper empirically analyzes the impact of artificial intelligence on the HQED using data from 275 cities in China from 2011 to 2020. The research results of this paper show that artificial intelligence significantly promotes the HQED, which is still maintained after a series of robustness tests. The mechanism analysis of this paper indicates that artificial intelligence promotes the HQED by enhancing energy transition, fostering green technology innovation, and mitigating climate policy uncertainty. Heterogeneity analysis shows that in non-old industrial base cities, non-resource-based cities, cities with more robust intellectual property protection, and cities with abundant human capital, the promoting effect of artificial intelligence on high-quality economic development is more substantial.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123820"},"PeriodicalIF":12.9000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162524006188","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

With the continuous evolution of the new technological revolution and industrial transformation, industrial robots' widespread application of artificial intelligence has profoundly influenced the economic growth model. The improvement of natural resource utilization efficiency is an essential indicator for measuring the high-quality development of the economy (HQED). This paper empirically analyzes the impact of artificial intelligence on the HQED using data from 275 cities in China from 2011 to 2020. The research results of this paper show that artificial intelligence significantly promotes the HQED, which is still maintained after a series of robustness tests. The mechanism analysis of this paper indicates that artificial intelligence promotes the HQED by enhancing energy transition, fostering green technology innovation, and mitigating climate policy uncertainty. Heterogeneity analysis shows that in non-old industrial base cities, non-resource-based cities, cities with more robust intellectual property protection, and cities with abundant human capital, the promoting effect of artificial intelligence on high-quality economic development is more substantial.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
绿色技术创新与气候政策不确定性之间的关联:释放人工智能在新兴经济中的作用
随着新科技革命和产业变革的不断演进,工业机器人人工智能的广泛应用深刻影响着经济增长模式。自然资源利用效率的提高是衡量经济高质量发展(HQED)的重要指标。本文利用中国 275 个城市 2011 年至 2020 年的数据,实证分析了人工智能对 HQED 的影响。本文的研究结果表明,人工智能对 HQED 有显著促进作用,在经过一系列稳健性检验后,这种促进作用依然保持。本文的机理分析表明,人工智能通过加强能源转型、促进绿色技术创新和缓解气候政策不确定性来促进 HQED。异质性分析表明,在非老工业基地城市、非资源型城市、知识产权保护较为健全的城市以及人力资本丰富的城市,人工智能对经济高质量发展的促进作用更为显著。
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 去求助
来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
期刊最新文献
Roles of related and unrelated external technologies in shaping regional breakthrough technological advantages Standardization and Standards: Safeguards of Technological Sovereignty? Understanding service robot adoption and resistance from a service provider perspective Examining trust in cryptocurrency investment: Insights from the structural equation modeling Enabling a viable circular ecosystem for electric vehicle batteries
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1