国有资本对民营企业劳动力成本粘性的影响:来自中国的证据

IF 4.2 2区 经济学 Q1 ECONOMICS
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引用次数: 0

摘要

成本粘性在企业生产中很常见,会严重影响内部资源配置。以往的研究表明,成本粘性在国有企业中更为突出。然而,这些研究并未涉及国有资本(SOC)对民营企业成本粘性的影响。本研究采用 2010 年至 2019 年中国民营上市公司的数据,考察了国有资本对民营企业劳动力成本粘性的影响。实证结果表明,民营企业参与SOC同时增加了调整成本,降低了融资约束。SOC还明显加剧了劳动力成本粘性。这种关系在普通员工、竞争性行业和中国中西部地区更为明显。研究结果表明,参与国有企业在短期内会损害企业生产率,但从长期来看却有利于企业创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of state-owned capital on labor cost stickiness in private firms: Evidence from China
Cost stickiness is common in enterprise production and can significantly affect internal resource allocation. Past studies suggest that cost stickiness is more prominent in state-owned enterprises (SOEs). However, these studies have not addressed the impact of state-owned capital (SOC) on the cost stickiness of private enterprises. This study examined the effect of SOC on labor cost stickiness in private firms, employing data from China's private listed firms from 2010 to 2019. Empirical results show that SOC participation in private firms concurrently increased adjustment costs and decreased financing constraints. SOC also significantly exacerbated labor cost stickiness. This relationship was more evident among ordinary employees, competitive industries, and China's central and western regions. The findings demonstrate that SOC participation can harm corporate productivity in the short term but can benefit corporate innovation in the long term.
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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 Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished.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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