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企业人工智能应用与出口产品质量升级:理论与实证

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为探讨企业人工智能应用对出口产品质量的影响及其作用机制,构建了引入人工智能技术的企业异质性模型,提出了新的理论框架,并利用2007-2015年中国A股上市公司数据进行了实证分析。研究结果表明:人工智能应用能够通过提升生产效率和优化要素配置,显著促进出口产品质量的提升。此外,这一效果在创新投入较高、从事一般贸易以及具有较高出口地位的企业中更为显著。该结论为企业加速人工智能技术应用和推动贸易高质量发展提供了重要参考。
Enterprise Artificial Intelligence Application and Export Product Quality Upgrading:Theory and Empirical Evidence
The study aims to explore the impact of enterprise artificial intelligence(AI)application on export product quality and its underlying mechanisms.A new theoretical framework is developed by constructing a heterogeneous firm model that incorporates AI technology and empirical analysis conducted using data from China's A-share listed companies from 2007 to 2015.The results show that AI application significantly enhances export product quality by improving production efficiency and optimizing resources allocation.Furthermore,this effect is more pronounced in firms with higher innovation investment,those engaged in general trade,and those with higher export status.The findings provide important insights for enterprises to accelerate the adoption of AI technology and promote the high-quality trade development.

artificial intelligenceexport product qualityproduction efficiency improvement effectfactor allocation optimization effect

徐晓慧、田晨晨

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浙江理工大学经济管理学院,浙江 杭州 310018

人工智能 出口产品质量 生产效率提升效应 要素配置优化效应

2024

宁波工程学院学报
宁波工程学院

宁波工程学院学报

影响因子:0.39
ISSN:1008-7109
年,卷(期):2024.36(4)