生产力
经济
样品(材料)
库存(枪支)
多要素生产率
经验证据
计量经济学
全要素生产率
宏观经济学
工程类
机械工程
哲学
化学
认识论
色谱法
作者
Aleksandra Parteka,Aleksandra Kordalska
出处
期刊:Technovation
[Elsevier BV]
日期:2023-05-12
卷期号:125: 102764-102764
被引量:42
标识
DOI:10.1016/j.technovation.2023.102764
摘要
In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our estimates provide evidence in favour of the modern productivity paradox. We show that the development of AI technologies remains a niche innovation phenomenon with a negligible role in the officially recorded productivity growth process. This general result, i.e. a lack of a strong relationship between AI and registered macroeconomic productivity growth, is robust to changes in the country sample, in the way we quantify labour productivity and technology (including AI stock), in the specification of the empirical model (control variables) and in estimation methods.
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