首页|智能驱动与企业绿色创新——基于国家人工智能试验区的准自然实验

智能驱动与企业绿色创新——基于国家人工智能试验区的准自然实验

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在应对全球气候变化和推动经济高质量发展的大背景下,以人工智能为核心的新一代信息技术能否推动全面绿色转型和实现"双碳"目标,已成为国家发展战略的重要议题。文章以国家新一代人工智能创新发展试验区作为准自然实验,基于2014-2022年A股上市公司数据,采用交叠DID研究了人工智能试验区对企业绿色创新的影响及其作用机制。研究结果表明,人工智能试验区的建立有效地促进了试验区内企业绿色创新,这一结论在经过一系列稳健性检验之后依然成立。机制分析发现,人工智能试验区不仅能够通过提升企业社会信任度、增加政府环保补助和加强企业间的研发合作来优化企业绿色创新的外部环境,还能通过提高企业资源配置效率、提升不确定性感知程度和增加研发投入来改善企业内部经营状况,从而对企业绿色创新发展形成激励。异质性分析发现,当地区环境规制强度较低、行业市场竞争程度较高、企业规模较大以及企业管理层具有环保背景时,这一促进效应更为显著。此外,人工智能试验区对企业绿色创新的促进效果在数量和质量上都较为显著。文章回应了人工智能试验区的建立能否促进企业绿色创新这一重要问题,为我国加快人工智能与绿色创新的融合发展提供了经验证据和政策参考。
Intelligent Driving and Enterprise Green Innovation:A Quasi-Natural Experiment Based on the National Artificial Intelligence Pilot Zone
In the context of addressing global climate change and promoting high-quality economic development,whether the new generation of information technology,with artificial intelligence as the core,can drive comprehensive green transformation and achieve the"dual carbon"goals has become an important issue in national development strategy.This dissertation leverages the establishment of the National New Generation Artificial Intelligence Innovation and Development Pilot Zone as a quasi-natural experiment,using data from A-share listed companies from 2014 to 2022,and employing a staggered DID approach to evaluate the impact of the artificial intelligence pilot zone on the green innovation of enterprises and its underlying mechanism.The findings reveal that the establishment of the artificial intelligence pilot area has effectively fostered green innovation among enterprises in the pilot area,and this conclusion is still valid across a series of robustness checks.Mechanism analysis indicates that the artificial intelligence pilot zone can not only optimize the external environment for enterprise green innovation by enhancing corporate social trust,increasing government environmental protection subsidies,and strengthening R&D cooperation among enterprises,but also improve the internal operations by improving enterprise resource allocation efficiency,heightening uncertainty perception of enterprises and boosting R&D investment,so as to form incentives for enterprises to pursue green innovation and development.A heterogeneity analysis shows that this enhancement effect is more significant under specific conditions:regions with lower environmental regulation intensity,industries with higher market competition,larger enterprise,and enterprises led by management with an environmental protection background.In addition,the artificial intelligence pilot zone has been shown to significantly promote green innovation of enterprises in terms of both quantity and quality.This dissertation addresses the important question of whether establishing artificial intelligence pilot areas can promote green innovation of enterprises,and provides empirical evidence and policy reference to accelerate the integration and development of artificial intelligence and green innovation in China.

green innovationartificial intelligence innovation and development pilot zonestaggered difference-in-differences

高华川、王划璞、董珍

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天津财经大学统计学院,天津 300222

贵州大学数学与统计学院,贵州贵阳 550025

绿色创新 人工智能创新发展试验区 交叠DID

2024

江南大学学报(人文社会科学版)
江南大学

江南大学学报(人文社会科学版)

CHSSCD
影响因子:0.248
ISSN:1671-6973
年,卷(期):2024.23(6)