| 基于DEA-Malmquist模型的广东人工智能领军企业技术创新效率研究 |
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| 引用本文： | 梁育民,张鑫琦.基于DEA-Malmquist模型的广东人工智能领军企业技术创新效率研究[J].科技和产业,2024,24(11):66-73. |
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| 作者姓名： | 梁育民 张鑫琦 |
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| 作者单位： | 广东省社会科学院，广州 510610 |
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| 摘 要： | 基于DEA（数据包络分析）-Malmquist模型，选取广东人工智能（AI）产业的31家领军企业，对其技术创新效率进行实证分析。对于企业的技术创新效率，用Malmquist技术生产率指标来表示。Malmquist技术生产率指标是技术效率和技术进步的乘积，技术效率则又是规模效率和纯技术效率的乘积。然后再根据静态和动态两个方面的实证分析结果，提出广东人工智能产业未来发展的若干建议。
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| 关 键 词： | 广东 人工智能（AI） 领军企业 技术创新效率 |
The Research on the Efficiency of Technological Innovation of Artificial Intelligence Leading Enterprises in Guangdong Based on the DEA-Malmquist Model |
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| Abstract: | Based on the DEA(data envelopment analysis)-Malmquist model, 31 leading enterprises in Guangdong''s artificial intelligence(AI) industry are selected to conduct empirical analysis of technological innovation efficiency. For the efficiency of technological innovation of enterprises, Malmquist technology productivity index is used to express. Malmquist technical productivity index is the product of technical efficiency and technological progress, and the technical efficiency is the product of scale efficiency and pure technical efficiency. Then, based on the empirical analysis results of static and dynamic models, some suggestions on the future development of Guangdong ai industry are put forward. |
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