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高质量的内部控制能否降低企业有效税率?——基于模糊断点回归设计的数据实证检验 被引量:3

Can High-quality Internal Control Reduce the Effective Tax Rate of Enterprises? ——An Empirical Test Based on Fuzzy Discontinuity Regression Design
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摘要 本文以2011~2016年上证50指数和上证180指数的成分股企业为样本,借助两阶段工具变量模型,运用模糊断点回归设计(Fuzzy RDD),采用上证50指数和上证180指数阈值周围指数成员的外生变化,借以分析上证50指数与上证180指数成分股企业的内部控制与企业有效税率之间的关系。实证结果显示,企业高质量的内部控制能够显著降低企业的有效税率。进一步研究发现,上证180指数和上证50指数成分股企业之间的有效税率和内部控制质量存在断点,且二者之间在内部控制质量上的断点更加明显,表明上证180指数和上证50指数成分股企业的公司有效税率差别不大,但内控质量却差异显著。 Taking the constituent stocks of the SSE 50 Index and the SSE 180 Index in 2011-2016 samples and with the help of the two-stage instrumental variable model and the fuzzy discontinuity regression design(Fuzzy RDD),this paper uses the exogenous changes of the SSE 50 index and the SSE 180 index threshold surrounding index members to analyze the relationship between the internal control of the SSE 50 Index and the SSE 180 Index constituents and the effective tax rate of enterprises.The empirical results show that high-quality internal control of the company can significantly reduce its effective tax rate.Further research finds that there is a breakpoint between the effective tax rate and the quality of internal control between the SSE 180 Index and the SSE 50 Index constituents,and the breakpoint between the two is more obvious in the internal control quality,indicating that there is no significant difference in the effective tax rates of enterprises between the SSE 180 Index and the SSE 50 index constituents,but the quality of internal control is quite different.
作者 杨杨 于芝麦 杜剑 YANG Yang;YU Zhimai;DU Jian(School of Economics,Guizhou University of Finance and Economics,Guiyang,550025China;School of Accounting,Guizhou University of Finance and Economics,Guiyang,550025China)
出处 《财经论丛》 CSSCI 北大核心 2019年第8期20-30,共11页 Collected Essays on Finance and Economics
基金 商务部国际贸易经济合作研究院联合基金项目(2017SWBZD16) 贵州财经大学校级科研基金项目(2018XYB02)
关键词 内部控制 有效税率 模糊断点回归 上证50指数和上证180指数成分股 Internal Control Effective Tax Rate Fuzzy Discontinuity Regression Design SSE 50 Index and SSE 180 Index Constituents
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