地方政府债务和企业用工决策:来自中国的证据

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Guanglong Zhang , Qi Lin , Kam C. Chan
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引用次数: 0

摘要

本文研究政府债务对企业劳动力调整决策的影响。通过对中国地方政府债务数据的分析,我们发现地方政府债务越高,地方企业的劳动力成本粘性越大。我们将此归因于责任转移效应,即更重的债务负担促使地方政府更多地干预企业的劳动决策,特别是通过限制企业员工裁员。这种影响对国有企业和有政治关系的企业更为明显;市场化程度和财政自给能力较低的地区;当地区失业率、宏观经济不确定性和政治风险更高时。在地方发展水平高的情况下,通过责任转移,地方政府从社会支出的减少中受益。然而,劳动力成本越高的企业,尽管获得更多的政府补贴,但员工福利越差,生产率越低,市场价值越低。研究结果表明,高LGDs不仅会通过挤出效应对企业融资产生不利影响,还会通过责任转移效应侵蚀企业价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local government debt and corporate labor decisions: Evidence from China
This study investigates the effect of government debt on firm's labor adjustment decisions. By analyzing Chinese local government debt (LGD) data, we find that when LGD is higher, local firms exhibit greater labor cost stickiness. We attribute this to the responsibility-shifting effect, i.e., heavier debt burdens prompt local governments to intervene more in corporate labor decisions, particularly by limiting corporate employee layoffs. The effect is more pronounced for state-owned and politically connected firms; in regions with lower marketization levels and fiscal self-sufficient capacities; and when regional unemployment rates, macroeconomic uncertainty, and political risk are higher. Through responsibility-shifting amid high LGDs, local governments benefit from a reduction in social expenditure. However, firms with stickier labor costs have poorer employee welfare, lower productivity, and reduced market value, despite receiving more government subsidies. Our findings suggest that high LGDs not only adversely impact firm financing through the crowding-out effect but also erode firm value through the responsibility-shifting effect.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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