本研究探討2006年至2021年台灣資通產業(電子零組件製造業、電腦、電子產品及光學製品製造業)子公司所在地之人工智能發展程度對母子公司生產力之影響，人工智能發展程度以OECD.AI所提供之人均專利數量進行衡量，而生產力則使用Levinsohn和Petrin(2003)所提出的半參數方法進行估計，並使用固定效應模型進行分析。實證結果顯示AI技術之外溢效果對電子零組件製造業廠商之生產力有顯著的影響，此外以廠商按照規模、年齡、研發支出以及前期生產力等變數進行分群，發現若廠商擁有較大的規模、較高的年齡、較多的研發支出或較高的前期生產力，AI技術外溢效果對此類廠商的生產力呈現顯著且正向之影響。根據本研究之結果，人工智能技術的外溢效果為影響廠商生產力的重要因素之一，並會在具有不同特性之廠商有所差異。

This study explores the impact of the development level of artificial intelligence in the location of subsidiaries of Taiwan's information and communication industry (electronic components manufacturing, computer, electronic products, and optical products manufacturing) on the productivity of the company from 2006 to 2021. The level of artificial intelligence development is measured by the number of patents per capita provided by OECD.AI, while productivity is estimated using the semi-parametric method proposed by Levinsohn and Petrin (2003), and analyzed using a fixed-effects model. The empirical results show that the spillover effect of AI technology has a significant impact on the productivity of electronic component manufacturing manufacturers. In addition, the manufacturers have been grouped according to variables such as size, age, R&D expenditure, and early productivity. Higher age, higher R&D expenditure or higher early-stage productivity, the spillover effect of AI technology has a significant and positive impact on the productivity of such manufacturers. According to the results of this study, the spillover effect of artificial intelligence technology is one of the important factors affecting the productivity of manufacturers, and it will vary among manufacturers with different characteristics.

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