从企业税收申报的低效率中分离偷税漏税:一个综合的方法

Giancarlo Ferrara, A. Campagna, V. Atella
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摘要

在本文中,我们提出了一种新的方法来支持意大利税务局(IRA)的财政监测,目的是提高当前纳税人的财政合规性,打击中小企业的逃税行为。事实上,考虑到部门研究(Studi di Settore - SdS)系统背后的方法,企业有空间通过简单地将收入(和成本)调整到估计的平均阈值(已知的事前),即所谓的“假定”收入,并实现财政“一致性”状态来实施逃税策略。通过随机前沿分析估计生产函数,我们避免了预估已知的平均阈值,并且可以将企业经济效率的信息与财政一致性的信息结合起来,从而能够将由于潜在的企业逃税行为而导致的收入漏报与由于企业效率低下而导致的收入漏报区分开来。我们将这一框架应用于属于两个部门研究的两个意大利公司样本。我们的研究结果证实了这种方法的潜力,尽管在大规模实施政策之前还需要做更多的工作。
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Disentangling Tax Evasion from Inefficiency in Firms Tax Declaration: An Integrated Approach
In this article we present a new methodology to support fiscal monitoring by the Italian Revenue Agency (IRA) with the aim of improving current taxpayers fiscal compliance and fighting tax evasion within small and medium enterprises. In fact, given the methodology behind the Sector Studies (Studi di Settore - SdS) system, there is room for firms to implement tax evasion strategies by simply adjusting revenues (and costs) toward an estimated average threshold (known ex-ante), the so called "presumptive" revenues, and achieving the fiscal "congruity" status. By estimating a production function through stochastic frontier analysis we avoid estimating the average threshold know ex-ante and can combine information on firm economic efficiency with those on fiscal congruity, thus being able to disentangle underreporting of revenues due to potential firm tax evasion behaviours from underreporting due to firm inefficiencies. We apply this framework to two samples of Italian firms belonging to two Sector Studies. Our results confirm the potentiality of the approach, although more work is needed before moving to a large scale implementation for policy purposes.
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