气候政策与企业人工智能:中国低碳城市试点的证据

IF 5.4 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2024-07-29 DOI:10.1016/j.indic.2024.100446
Longsheng Wu , Lingli Qi , Johnny F.I. Lam , Guanqiuyue Chen
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引用次数: 0

摘要

中国的低碳城市试点(LCCP)计划是一项在城市层面实施的气候政策,其对企业人工智能(AI)发展的影响仍有待研究。LCCP 项目旨在促进中国多个城市的低碳转型,并作为一个准自然实验来确定类似的城市级气候政策是否能促进企业人工智能的发展。本研究采用多期差分法(DID)评估中国 LCCP 项目对企业人工智能发展的影响。通过将注意力从国家层面的政策转向城市层面的举措,本研究对气候政策对企业技术创新的本地化影响提供了独特的见解。研究结果表明,LCCP 计划对企业人工智能的发展具有显著的促进作用。这些结果凸显了城市层面的气候政策(如 LCCP 计划)在推动企业人工智能技术进步方面的潜力。通过证明 LCCP 计划的实施与公司内部人工智能发展水平的提高之间的正相关性,该研究为环境政策与技术创新之间的交叉提供了宝贵的见解。政策制定者和企业可以利用这些发现来指导旨在通过加强人工智能应用来促进可持续经济增长的措施的设计和实施。本研究不仅有助于环境政策与技术创新方面的学术讨论,还为实现环境可持续性与技术进步之间的平衡提供了实用建议。
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Climate policy and corporate artificial intelligence: Evidence from low-carbon city pilots in China

The Low-Carbon City Pilot (LCCP) program in China is a climate policy implemented at the city level, and its impact on the development of corporate artificial intelligence (AI) remains to be studied. The LCCP program aims to promote low-carbon transformation in multiple Chinese cities and serves as a quasi-natural experiment to determine whether similar city-level climate policies can foster the development of corporate AI. This study employs a multi-period differences-in-differences (DID) approach to evaluate the impact of China’s LCCP program on the development of corporate AI. By redirecting attention from national-level policies to city-level initiatives, this study provides unique insights into the localized effects of climate policies on technological innovation within firms. The research findings indicate that the LCCP program has a significant promoting effect on the development of corporate AI. These results underscore the potential of city-level climate policies, such as the LCCP program, to drive advancements in corporate AI technologies. By demonstrating a positive correlation between the implementation of the LCCP program and increased levels of AI development within companies, the study provides valuable insights into the intersection of environmental policies and technological innovation. Policymakers and businesses can use these findings to guide the design and implementation of initiatives aimed at promoting sustainable economic growth through enhanced AI adoption. This study not only contributes to the academic discourse on environmental policy and technological innovation but also offers practical recommendations for achieving a balance between environmental sustainability and technological advancement.

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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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