自動化(automation)乃是改用機器執行原先使用人力進行的任務，而目前最新的自動化模式即為人工智慧。自動化的形成將可能對勞動就業產生威脅，甚至是個巨大的衝擊。在這次的研究計畫中，我們企圖分析在具自動化特質的貨幣Schumpeterian成長模型下，貨幣政策如何透過自動化與創新之間的循環性影響經濟成長率，藉以探究通貨膨脹率與經濟成長率是否可能呈現倒U型態；金融摩擦與經濟成長率是否可能呈現非單調結果。最後，本計畫亦進行規範分析，探討the Friedman rule是否依然成立。
Automation allows machines to perform tasks that are previously performed by workers. The artificial intelligence is the latest form of automation. Automation may be a threat to employment of workers and be even a shock to employment of workers. In this project, we attempt to develop a monetary Schumpeterian growth model with endogenous automation and analyze some questions. First, we explore how the monetary policy influences economic growth through a cycle of automation an innovation. We also attempt to discuss whether inflation has inverted-U effects on economic growth. Moreover, we explore whether economic growth has a non-monotonic relationship with financial frictions. Finally, we also attempt to discuss that welfare effect of inflation and examine whether the Friedman rule holds.
