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The Effects of Immigration on Labour Tax Avoidance: An Empirical Spatial Analysis

机译:移民对劳动力避税的影响:经验空间分析

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We investigate whether the geographic concentration of non-EU immigrants in the various Italian provinces affects labour tax avoidance (LTAV) practices adopted by firms located in the same provinces, as well as in the neighbouring provinces, and operating in construction and agriculture industries that mostly employ immigrants in Italy. For this purpose, we develop a LTAV proxy based on the financial accounting information of a sample of 993,606 firm-years, disseminated throughout the 108 Italian provinces, over the period 2008-2016. Our results, based on a Spatial Durbin Model panel regression, reveal a statistically significant positive association between the concentration of non-EU immigrants and LTAV at province level, as well as the presence of spillover effects among neighbouring provinces. Our findings are robust to several additional analyses, including instrumental variable estimations. Our study provides empirical support to previous structuralist or marginalization theories holding that socioeconomically marginalized groups, such as non-EU immigrants, are more likely to be involved in labour exploitation practices, which could underlie our LTAV outcomes. Furthermore, it supports the need for tax authorities to strengthen labour inspections, coordinated at national level, especially in those contexts where non-EU immigrants are mostly employed. On the other hand, a greater social integration, assistance, and recognition of rights of immigrants may help to alleviate their situation of weakness that makes them more vulnerable to LTAV practices. Finally, tackling LTAV, associated with the underemployment of immigrants, may prevent its negative effects for society arising from the reduction of public resources to sustain the social welfare and finance public goods and services.
机译:我们调查各种意大利各省的非欧盟移民的地理集中是否影响了同一省份,邻近省,以及大多数情况下的建筑和农业产业所采用的劳动避税(LTAV)做法。雇用意大利移民。为此目的,我们根据2008 - 2016年期间在整个108个意大利省份传播的993,606个公司的财务会计信息,在2008 - 2016年期间在整个108个意大利省传播的金融会计信息。我们的结果基于空间德林模型面板回归,揭示了非欧盟移民集中与省级的统计学态度,以及邻近省份之间存在溢出效应的存在。我们的发现是若干额外分析的强大,包括乐器变量估计。我们的研究为以前的结构主义或边缘化理论提供了实证支持,持有这种社会经济上的边缘化群体,例如非欧盟移民,更有可能参与劳动开发实践,这可能会使我们的LTAV结果极强。此外,它支持税务机关加强在国家一级协调的劳动力检查,特别是在非欧盟移民主要雇用的情况下。另一方面,更大的社会融合,援助和移民权利的认可可能有助于缓解他们的弱势形势,使他们更容易受到LTAV做法的影响。最后,解决与移民的不足相关联系的LTAV可能会阻止其对减少公共资源产生的社会的负面影响,以维持社会福利和财政公共产品和服务。

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