税收激励与企业社会保险缴费:来自中国的证据

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-05-27 DOI:10.1016/j.chieco.2024.102210
Renrui Xiao , Pingguo Xu , Baocong Huang
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引用次数: 0

摘要

税收优惠与员工收入密切相关。现有文献对税收优惠政策与企业社保缴费之间的关系研究不足。我们构建了一个理论模型来描述税收优惠政策对企业社保缴费的影响,并利用中国的固定资产加速折旧政策(AD 改革)对其进行了实证检验。我们发现,税收优惠政策有效地增加了企业的社保缴费。这种效应在大型企业、资本密集度高的企业、员工议价能力强的企业以及社保部门征收社保费的企业中更为明显。此外,反倾销改革通过增加机器设备投资,提高企业与员工分享的租金,从而间接提高了企业的社保缴费,促进了企业生产率和绩效的提高。总之,我们的研究结果有助于加深对企业与员工之间租金分享的理解,同时也加深了我们对欠发达地区税收实际发生率的理解。
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Tax incentives and firm social insurance contributions: Evidence from China

Tax incentives are closely related to employees' income. The relationship between tax incentives and firm social insurance contributions is underexplored in existing literature. We construct a theoretical model to portray the impact of tax incentives on firm social security contributions and use China's accelerated depreciation policy for fixed assets (AD reform) to test it empirically. We find that the tax incentives effectively increase the social security contributions of firms. This effect is more pronounced in large firms, firms with high capital intensity, firms with strong bargaining power of employees, and firms with social security contributions levied by the social security department. Moreover, the AD reform promotes improvements in firm productivity and performance by increasing investment in machinery and equipment, increasing the rents shared by firms with employees, and thus indirectly boosting firms' social security contributions. Overall, Our findings contribute to a deeper understanding of rent-sharing between firms and employees, as well as enhancing our understanding of the effective incidence of taxes in less developed regions.

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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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