Productivity Growth Recovery Mechanisms: An ARDL Approach Lessons from the United States, Japan and South Korea

Michael Koczyrkewycz, Taha Chaiechi, R. Beg
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引用次数: 1

Abstract

Productivity growth is an essential ingredient for achieving long-term economic growth and sustainable development. In the absence of such growth, economic growth is not achievable. Accordingly, this paper examines economic resilience through multiple productivity channels within the United States, Japan and South Korea. Adopting a Kaleckian post-Keynesian approach, productivity growth is constructed as a function of investment, capacity utilisation, indicators of financial development, and an indicator of fiscal policy. Utilising annual historical data from 1980-2019, this paper adopts Autoregressive Distributed Lag (ARDL) models, Vector Autoregressive-based Impulse Response Functions (IRF) and Variance Decompositions (VD) to examine the resilience of productivity growth through the speeds of adjustment after an external shock. Results show that long and short-run unidirectional causality between productivity growth and the explanatory variables exists amongst all economies through the error-correction terms (ECT) and ARDL models. When imposing a simulated one-time S.D. shock upon the explanatory variables, differing speeds of adjustment and recovery processes in the long-run are present. As such, the strength of causal relationships amongst productivity growth and the explanatory variables ultimately affects speeds of adjustment and hence recovery.
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生产率增长恢复机制:一种ARDL方法——来自美国、日本和韩国的经验
生产率增长是实现长期经济增长和可持续发展的基本要素。没有这种增长,经济增长是无法实现的。因此,本文通过美国、日本和韩国的多种生产力渠道考察了经济弹性。采用后凯恩斯主义的卡莱肯方法,生产率增长被构建为投资、产能利用率、金融发展指标和财政政策指标的函数。本文利用1980-2019年的年度历史数据,采用自回归分布滞后(ARDL)模型、基于向量自回归的脉冲响应函数(IRF)和方差分解(VD)方法,通过外部冲击后的调整速度来检验生产率增长的弹性。通过误差修正项(ECT)和ARDL模型,结果表明,生产率增长与解释变量之间存在长期和短期的单向因果关系。当对解释变量施加模拟的一次性sd冲击时,存在不同的长期调整速度和恢复过程。因此,生产率增长与解释变量之间的因果关系的强度最终会影响调整的速度,从而影响复苏。
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