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

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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.

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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。

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来源期刊

Technological Forecasting and Social Change Multiple-

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.