人工智能对绿色创新效率的影响：动态能力的调节作用

IF 4.8 2区经济学 Q1 BUSINESS, FINANCE

International Review of Economics & Finance Pub Date : 2024-09-18 DOI:10.1016/j.iref.2024.103649

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引用次数: 0

摘要

对环境问题的关注加强了对可持续创新的重视，而人工智能（AI）正成为一种潜在的驱动力。然而，人工智能的采用与绿色创新效率之间的关系，尤其是在新兴经济体，仍不明确。解决这一空白至关重要，因为它可以揭示在快速增长的市场中加强可持续发展的途径。在此，我们研究了人工智能如何影响中国企业的绿色创新效率，并考察了动态能力的调节作用。我们使用中国 A 股上市公司 26117 个公司年观测值（2008-2022 年）的面板数据，采用了一种新颖的基于文本的人工智能采用度量方法，并通过专利申请和研发支出来评估绿色创新效率。我们的研究结果表明，采用人工智能与绿色创新效率之间存在显著的正相关关系，动态能力增强了这一效应。非国有企业和高科技企业受到的影响更大。这些结果证明了人工智能作为可持续发展催化剂的潜力，并强调了组织能力在实现这些效益方面的重要性。我们的研究为不断发展的技术驱动可持续发展的讨论做出了贡献，为在不同经济背景下利用人工智能进行绿色创新的理论和实践提供了启示。

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The impact of artificial intelligence on green innovation efficiency: Moderating role of dynamic capability

Environmental concerns have intensified the focus on sustainable innovation, with artificial intelligence (AI) emerging as a potential driver. However, the relationship between AI adoption and green innovation efficiency, particularly in emerging economies, remains unclear. This gap is crucial to address as it could reveal pathways to enhance sustainable development in rapidly growing markets. Here, we investigate how AI impacts green innovation efficiency in Chinese firms and examine the moderating effects of dynamic capabilities. Using panel data from 26,117 firm-year observations of Chinese A-share listed companies (2008–2022), we employ a novel text-based measure of AI adoption and assess green innovation efficiency through patent applications and R&D expenditure. Our findings reveal a significant positive relationship between AI adoption and green innovation efficiency, with dynamic capabilities enhancing this effect. The impact is stronger in non-state-owned and high-tech firms. These results demonstrate AI's potential as a catalyst for sustainable development and highlight the importance of organizational capabilities in realizing these benefits. Our study contributes to the evolving discourse on technology-driven sustainability, providing insights for both theory and practice in leveraging AI for green innovation in diverse economic contexts.

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来源期刊

International Review of Economics & Finance Multiple-

CiteScore

7.30

自引率

2.20%

发文量

253

期刊介绍： The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.