Anatomy of wage rigidity in China: Lessons from the global financial crisis for post-pandemic recovery

IF 4.2 2区 经济学 Q1 ECONOMICS
Jian Ding , Yixiao Zhou
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引用次数: 0

Abstract

This study examines the extent and cause of Chinese firms’ labour cost adjustment during the 2008 global financial crisis (GFC). First, we confirm that some typical features of downward nominal wage rigidity during the recession period coincide with the implementation of the Labour Contract Law, covering wages and social security payments. Second, we find that firms with higher shares of casual workers could lower their labour cost more effectively. The overall results demonstrate that the Quantitative Easing programme was necessary for counteracting the economic downturn during the GFC. Therefore, the length of this on-going crisis would be affected by wage rigidity in the economy. This study has implications for addressing the economic downturn in China following the COVID-19 pandemic, which is characterised by a high level of unemployment.
中国工资刚性的剖析:全球金融危机对大流行后复苏的启示
本研究探讨了 2008 年全球金融危机期间中国企业劳动力成本调整的程度和原因。首先,我们证实了经济衰退期间名义工资刚性下行的一些典型特征与《劳动合同法》的实施相吻合,该法涵盖了工资和社会保障的支付。其次,我们发现临时工比例较高的企业可以更有效地降低劳动力成本。总体结果表明,量化宽松计划对于应对全球金融危机期间的经济衰退是必要的。因此,经济中的工资刚性将影响这场持续危机的持续时间。本研究对中国应对 COVID-19 大流行后的经济衰退具有重要意义。
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来源期刊
Economic Modelling
Economic Modelling ECONOMICS-
CiteScore
8.00
自引率
10.60%
发文量
295
期刊介绍: Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.
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