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Digital Upgrade of Tax Enforcement and Corporate Income Tax Expense Deviation of Listed Companies
企业所得税费用以及在其基础上构建的财务指标是研究企业所得税违规问题的常用信息,对识别、监督和打击企业逃避税行为具有重要的参考价值。本文基于2011—2016年国泰安和全国税收调查数据库中的上市公司数据,构造企业所得税费用偏差指标度量企业税收规避行为,并且以金税三期分批实施作为准自然实验,采用交叠双重差分方法考察了税收征管数字化升级对企业所得税费用偏差的影响。研究发现:税收征管数字化升级显著降低了企业所得税费用偏差,税务部门信息化建设能够有效约束企业所得税违规行为;税收征管数字化升级不仅能抑制企业盈余管理活动,还能提高企业内部控制水平,进而有助于降低企业所得税费用偏差;当税务部门执法水平较高、公司治理水平较低或税务部门关注度较低时,税收征管数字化升级对企业所得税费用偏差的抑制效应更加明显。本文研究结论不仅有益于重新认识我国企业逃避税问题,还对通过形成公平规范的税负环境、发挥减税降费激励与激发市场活力推动经济高质量发展具有十分重要的借鉴意义。
Abstract
Irregularities in corporate income tax have consistently garnered significant attention within scholarly and professional circles. Given the inherent malleability and concealed nature of corporate income tax, in contrast to the self-regulating attributes of value-added tax, it demonstrates a greater propensity for manipulation. Consequently, financial indices derived from corporate income tax serve as crucial sources of information when scrutinizing such irregularities. The examination of these indicators proves to be of paramount importance as a means for identifying, monitoring, and mitigating instances of corporate tax evasion. Based on the data of Chinese listed companies from 2011 to 2016, which are sourced from the China Stock Market & Accounting Research (CSMAR) Database and the National Tax Survey Database, this paper constructs an indicator of corporate income tax expense deviation to quantitatively measure the degree of corporate income tax non-compliance. Taking the phased and staggered implementation of the Golden Tax III project as a quasi-natural experimental scenario, this study adopts the staggered difference-in-differences (DID) method to systematically examine the causal impact of tax enforcement digitization on corporate income tax expense deviation. The empirical findings demonstrate that tax enforcement digitization triggered by the launch of the Golden Tax III project has significantly reduced corporate income tax expense deviation, which fully indicates that the enhanced capability of tax authorities in supervising and monitoring tax-related information can effectively constrain irregularities in corporate income tax and exert a remarkable inhibitory effect on corporate tax avoidance activities. Validity tests of the staggered DID model reveal that the results of the parallel trend assumption test, placebo tests, and Goodman-Bacon decomposition all strongly corroborate the validity and rationality of the model specification in this paper. Considering potential endogeneity concerns such as omitted variable bias and sample selection bias that may interfere with the estimation results, this study further adopts a series of remedial measures, including adding more control variables, employing the Heckman two-step estimation method, and utilizing the instrumental variable approach, to verify the reliability and robustness of the baseline regression conclusions. Additionally, after conducting a battery of robustness checks involving replacing the dependent variable, adjusting the research sample scope, altering the DID estimation strategy, and applying the propensity score matching combined with DID (PSM-DID) method, the core conclusions of this paper remain valid and unchanged. Mechanism tests further uncover two critical impact channels: on the one hand, tax enforcement digitization can suppress corporate earnings management behaviors, thereby directly reducing the level of income tax expense deviation; on the other hand, such digitization can effectively improve the quality of enterprises' internal control systems, which in turn curbs corporate income tax avoidance practices. This paper also conducts heterogeneity analysis based on the differences in tax authorities' law enforcement capacity, corporate governance quality, and the degree of tax authority attention, and finds that the inhibitory effect of tax enforcement digitization on corporate income tax expense deviation is more pronounced for enterprises whose income tax is collected by national tax bureaus, those with weaker corporate governance structures, and those subject to lower tax authority attention. The above research conclusions not only help deepen the re-recognition of corporate income tax non-compliance issues in China, but also provide strong empirical support for accelerating the construction of digital government, modernizing China's tax administration system, and further modernizing the government's capacity for governance. Moreover, they carry crucial practical reference significance for driving high-quality economic development by building a fair and standardized tax burden environment, implementing tax and fee reduction incentives, and stimulating market vitality.
税收征管数字化升级显著降低了企业所得税费用偏差
以金税三期实施作为准自然实验,采用交叠双重差分法,相对于金税三期实施前,实施后所得税费用偏差取自然对数相较于样本均值下降约14.22%,所得税费用偏差减少约46.89万元。
税收征管数字化升级通过抑制盈余管理降低所得税费用偏差
机制检验表明,金税三期实施能显著抑制企业盈余管理行为,金税三期与可操纵性应计利润的交互项系数显著为负,表明企业盈余管理活动对所得税费用偏差的影响会随金税三期实施而减弱。
税收征管数字化升级通过提高内部控制水平降低所得税费用偏差
机制检验发现,金税三期实施会强化内部控制对企业所得税费用偏差的抑制效应,迪博内控披露指数和交互项金税三期×迪博内控披露指数的系数均显著为负。
核心解释变量
税收征管数字化升级(GTP),以金税三期工程分批实施作为准自然实验构建双重差分变量
被解释变量
企业所得税费用偏差(CZ_SDS),基于国泰安数据库与全国税收调查数据库中所得税费用差异构建;所得税费用偏差占税前利润比重(CZ_SDS_Income)
样本与数据
2011-2016年中国A股上市公司,数据来源于国泰安数据库和全国税收调查数据库,共6969个企业-年度非平衡面板观测值,涉及2387家企业
识别方法 / 模型设定
利用金税三期工程分年度分省份逐步实施的外生政策冲击,采用交叠双重差分法(Staggered DID)进行因果识别。有效性检验包括平行趋势检验、安慰剂检验和Goodman-Bacon分解。内生性处理采用Heckman两步法和工具变量法(滞后一期地方税收任务目标)。
内生性及稳健性检验
更换所得税费用偏差测度指标、替换控制变量、剔除被解释变量始终为0的样本、更换双重差分估计方法、采用倾向得分匹配双重差分法(PSM-DID)、改变聚类层级、排除其他政策干扰、更换企业所得税费用偏差样本。
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