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1.
BMC Public Health ; 23(1): 2255, 2023 11 16.
Artigo em Inglês | MEDLINE | ID: mdl-37974100

RESUMO

BACKGROUND: Nearly all countries have ratified the United Nations Convention on the Rights of the Child and, therefore, support children having access to their rights. However, only a small minority of children worldwide have access to their environmental, economic, and social rights. The most recent global effort to address these deficits came in 2015, when the United Nations General Assembly agreed to a plan for a fairer and more sustainable future by 2030 and outlined the Sustainable Development Goals (SDGs). One remediable cause is the lack of revenue in many countries, which affects all SDGs. However, illicit financial flows from low-income to high-income countries, including international tax abuse, continue unabated. METHODS: Using the most recent estimates of tax abuse perpetuated by multinational companies and tax evasion through offshore wealth, and precise econometric modelling, we illustrate the potential regarding child rights (or progress towards the SDGs) if there was an increase in revenue equivalent to tax abuse in Malawi, a low-income country particularly vulnerable to climate change. The Government Revenue and Development Estimations model provides realistic estimates of government revenue changes in developmental outcomes. Using panel data on government revenue per capita, it models the impact of increased revenue on governance and SDG progress. RESULTS: If cross-border tax abuse and tax evasion were curtailed, the equivalent increase in government revenue in one country, Malawi, would be associated with 12,000 and 20,000 people having access to basic water and sanitation respectively each year. Each year, an additional 5000 children would attend school, 150 additional children would survive, and 10 mothers would survive childbirth. CONCLUSIONS: More children would access their economic and social rights if actions were taken to close the gap in global governance regarding taxation. We discuss the responsibility of duty bearers, the need for a global body to arbitrate and monitor international tax matters, and how the Government of Malawi could take further domestic action to mitigate the gaps in global governance and protect itself against illicit financial flows, including tax abuse.


Assuntos
Renda , Pobreza , Humanos , Criança , Malaui , Nações Unidas , Governo , Impostos
2.
Tob Control ; 29(3): 326-331, 2020 05.
Artigo em Inglês | MEDLINE | ID: mdl-31147472

RESUMO

INTRODUCTION: Imposing policies that increase tobacco prices is a key strategy for reducing smoking prevalence, although it may result in more cigarette trafficking. In 2013, New York City (NYC) passed the Sensible Tobacco Enforcement (STE) law requiring cigarettes be sold for a minimum price of $10.50 per pack. To evaluate whether cigarette price increases changed patterns of behaviour related to cigarette tax evasion, we examined littered pack study data from 2011 and 2015. METHODS: Littered cigarette packs were collected from a random sample of NYC census tracts in 2011 and 2015. The proportions of cigarette packs with proper local, known non-local, foreign or unknown, and no tax stamp were calculated. Changes in volume, source and consumption of domestically trafficked cigarettes over time were estimated. RESULTS: In 2011, 255 packs with cellophane were collected; in 2015, 226 packs with cellophane were collected. Packs without proper local stamp increased from 60.7% in 2011 to 76.3% in 2015 (p<0.05) and those with foreign or unknown stamp increased from 11.6% in 2011 to 31.4% in 2015 (p<0.05). The percentage of domestically sourced packs attributed to domestic trafficking increased significantly from a range of 47.9% to 52.8% in 2011 to a range of 59.4% to 63.2% in 2015. CONCLUSION: While the trafficking rate among domestically sourced cigarettes increased between 2011 and 2015 (before and after the STE minimum price floor on cigarette packs was in place), there was a decline in total consumption of domestically trafficked cigarettes due to a significant increase in consumption of foreign-sourced cigarettes. Jurisdictions considering price measures should bolster monitoring and enforcement efforts to maximise public health impact. Given the interstate nature of cigarette trafficking in the USA, Federal intervention would be optimal.


Assuntos
Comércio/legislação & jurisprudência , Fumar/legislação & jurisprudência , Impostos/legislação & jurisprudência , Produtos do Tabaco/legislação & jurisprudência , Celofane , Comércio/tendências , Tráfico de Drogas , Humanos , Cidade de Nova Iorque , Políticas , Embalagem de Produtos , Fumar/economia , Fumar/tendências , Produtos do Tabaco/economia
3.
Soc Sci Res ; 91: 102448, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32933646

RESUMO

Why do some people comply with their obligation to pay taxes while others do not? Scholars of tax behavior, particularly economists and political scientists, have relied on models of state coercion and state reciprocity to answer this question. Neither state coercion nor state reciprocity, however, sufficiently account for individuals who voluntarily comply with their tax obligations to the state. We offer a third explanation, derived from the new sociology of morality and moral psychology, suggesting that two types of moral attitudes (moral imperatives and moral alignment) affect tax compliance. Using a factorial survey experiment of income tax evasion and a survey questionnaire administered to a nationally representative random sample of U.S. adults, we provide a systematic test of the three different models of tax compliance. The results yield strong support for moral attitudes (both moral imperatives and moral alignment) and state coercion, but little support for state reciprocity. We review the implications of our findings in the discussion and conclusion.


Assuntos
Coerção , Imposto de Renda , Adulto , Atitude , Humanos , Princípios Morais , Impostos
4.
J Leg Med ; 40(3-4): 321-333, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33797322

RESUMO

This article describes the impact of the 2009 Family Smoking and Prevention Tobacco Control Act (TCA) on local tobacco control through the lens of New York City's experience during the first 10 years after the TCA was enacted, highlighting one meaningful change and an opportunity that has failed to materialize. Much of the analysis regarding the TCA highlights the U.S. Food and Drug Administration's (FDA) new powers and the TCA's impact on a national level. However, the TCA also opened up opportunities for local governments to pursue sound tobacco control policies that previously seemed fraught with high legal risk. This article focuses on two aspects of the TCA. First, the TCA weakened one of the tobacco industry's most reliable litigation weapons-preemption. Second, the TCA authorized the FDA to combat the illicit trade of tobacco products. Despite clear language in the TCA, the FDA has not signaled an inclination to take action regarding illicit trade in the context of tobacco tax evasion.


Assuntos
Regulamentação Governamental , Governo Local , Produtos do Tabaco/economia , Produtos do Tabaco/legislação & jurisprudência , Publicidade/legislação & jurisprudência , Comércio/legislação & jurisprudência , Crime/legislação & jurisprudência , Cidade de Nova Iorque
5.
Policy Stud ; 41(1): 98-111, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32406419

RESUMO

Tax authorities utilize a wide range of instruments to motivate honest taxpaying ranging from strict audits to fair procedures or personalized support, differing from country to country. However, little is known about how these different instruments and taxpayers' trust influence the generation of interaction climates between tax authorities and taxpayers, motivations to comply, and particularly, tax compliance. The present research examines the extended slippery slope framework (eSSF), which distinguishes tax authorities' instruments into different qualities of power of authority (coercive and legitimate) and trust in authorities (reason-based and implicit), to shed light on the effect of differences between power and trust. We test eSSF assumptions with survey data from taxpayers from three culturally different countries (N = 700) who also vary concerning their perceptions of power, trust, interaction climates, and tax motivations. Results support assumptions of the eSSF. Across all countries, the relation of coercive power and tax compliance was mediated by implicit trust. The connection from legitimate power to tax compliance is partially mediated by reason-based trust. The relationship between implicit trust and tax compliance is mediated by a confidence climate and committed cooperation. Theoretical and practical implications are discussed.

6.
Econ Lett ; 123(3): 378-382, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-25843992

RESUMO

We conduct a field experiment on tax compliance, focusing on newly founded firms. As a novelty the effect of tax authorities' supervision on timely tax payments is examined. Interestingly, results show no positive overall effect of close supervision on tax compliance.

7.
Behav Sci (Basel) ; 14(3)2024 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-38540501

RESUMO

Tax evasion is a major issue for authorities worldwide. Understanding the factors that influence individuals' intrinsic motivation to pay taxes, known as their tax morale, is important for improving tax compliance. This study investigated gender differences in judging tax evasion in the context of cryptocurrency trading. Specifically, a survey study explored whether different moral foundations, financial literacies, and political orientations among females vs. males might explain potential gender differences in judging tax evasion. In an online survey, 243 U.S. adults read a vignette about a friend evading taxes in a cryptocurrency trading context. In a correlational analysis, we found that females judged tax evasion harsher, as being more morally wrong than males. Of the psychographic factors, only individualizing moral foundation values (i.e., fairness and harm avoidance) explained the harsher moral judgment by females. That is, individualizing moral foundation values were at a higher level among females, which further predicted females' harsher judgment of tax evasion. While females also had, on average, lower financial literacy and knowledge of cryptocurrencies than males, these did not predict their harsher judgment of tax evasion. The findings contribute to research on gender differences in moral judgments and highlight that a given transgression, or a specific crime, may violate different moral values in men and women. The results demonstrate to policy makers that it is important to take into account gender differences, in campaigns promoting tax morale and compliance.

8.
Front Psychol ; 14: 1045537, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36844346

RESUMO

Tax evasion is the illegal withholding or underpayment of taxes, typically accomplished by intentionally providing false or no evidence to tax authorities. Tax evasion has had a severe detrimental influence on the economy of the Amhara National Regional State, Ethiopia. The Amhara Regional State lost tax revenue in recent years due to tax evasion. The objective of this study was to see how tax evasion, taxpayers' psychological egoism, and other relevant factors affect tax revenue collection performance in the Amhara Region, Ethiopia. Data were collected from 395 VAT-registered taxpayers through a structured questionnaire. The structural equation model and multiple regression analysis method were utilized for empirical test based on the softwares of SPSS and AMOS. This research revealed that tax evasion and psychological egoism negatively affect tax revenue collection performance. Tax education and technology significantly and positively affected tax revenue collection performance. Meanwhile, the relationships between the above factors (tax evasion, tax education, and technology) and the tax revenue collection performance are reliably mediated by taxpayers' psychological egoism. Those findings can give clues to researchers, tax experts, and policymakers for improving the tax revenue collection performance in Amhara Region. The government can enhance public education to reduce tax evasion and such misbehavior caused by taxpayers' psychological egoism. Meanwhile, the most up-to-date tax invoicing technologies, like artificial intelligence and machine learning technology should be adopted.

9.
AI Soc ; : 1-20, 2022 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-35761824

RESUMO

It is nowadays widely understood that undeclared work cannot be efficiently combated without a holistic view on the mechanisms underlying its existence. However, the question remains whether we possess all the pieces of the holistic puzzle. To fill the gap, in this paper, we test if the features so far known to affect the behaviour of taxpayers are sufficient to detect noncompliance with outstanding precision. This is done by training seven supervised machine learning models on the compilation of data from the 2019 Special Eurobarometer on undeclared work and relevant figures from other sources. The conducted analysis not only does attest to the completeness of our knowledge concerning the drivers of undeclared work but also paves the way for wide usage of artificial intelligence in monitoring and confronting this detrimental practice. The study, however, exposes the necessity of having at disposal considerably larger datasets compared to those currently available if successful real-world applications of machine learning are to be achieved in this field. Alongside the apparent theoretical contribution, this paper is thus also expected to be of particular importance for policymakers, whose efforts to tackle tax evasion will have to be expedited in the period after the COVID-19 pandemic.

10.
Econ Polit (Bologna) ; 38(3): 1149-1187, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-35422597

RESUMO

We analyze the impact of government size, measured by total spending per capita, on tax evasion at the provincial level in Italy over the period 2001-2015. In order to solve endogeneity issues we rely on a system GMM and find that public expenditure negatively affects tax evasion, as taxpayers perceive the government is efficiently spending resources coming from the tax levy. Results are confirmed when we (1) consider expenditures related to long-term investments, namely capital spending per capita, and (2) directly test the impact of government efficiency on tax evasion. In addition, we show that the impact of public spending is heterogeneous across geographical areas: an increase in public expenditure leads to a downward shift in tax evasion only in the northern part of Italy, characterized by a relatively larger initial level of public goods provision.

11.
Front Psychol ; 12: 732248, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34690888

RESUMO

Whistleblowing is a powerful and rather inexpensive instrument to deter tax evasion. Despite the deterrent effects on tax evasion, whistleblowing can reduce trust and undermine agents' attitude to cooperate with group members. Yet, no study has investigated the potential spillover effects of whistleblowing on ingroup cooperation. This paper reports results of a laboratory experiment in which subjects participate in two consecutive phases in unchanging groups: a tax evasion game, followed by a generalized gift exchange game. Two dimensions are manipulated in our experiment: the inclusion of a whistleblowing stage in which, after observing others' declared incomes, subjects can signal other group members to the tax authority, and the provision of information about the content of the second phase before the tax evasion game is played. Our results show that whistleblowing is effective in both curbing tax evasion and improving the precision of tax auditing. Moreover, we detect no statistically significant spillover effects of whistleblowing on ingroup cooperation in the subsequent generalized gift exchange game, with this result being unaffected by the provision of information about the experimental task in the second phase. Finally, the provision of information does not significantly alter subjects' (tax and whistleblowing) choices in the tax evasion game: thus, knowledge about perspective ingroup cooperation did not alter attitude toward whistleblowing.

12.
Anal Chim Acta ; 1132: 157-186, 2020 Oct 02.
Artigo em Inglês | MEDLINE | ID: mdl-32980106

RESUMO

Gas chromatography (GC) is undoubtedly the analytical technique of choice for compositional analysis of petroleum-based fuels. Over the past twenty years, as comprehensive two-dimensional gas chromatography (GC × GC) has evolved, fuel analysis has often been highlighted in scientific reports, since the complexity of fuel analysis allows for illustration of the impressive peak capacity gains afforded by GC × GC. Indeed, several research groups in recent years have applied GC × GC and chemometric data analysis to demonstrate the potential of these analytical tools to address important compliance (tax evasion, tax credits, physical quality standards) and forensic (arson investigations, oil spills) applications involving fuels. None the less, routine use of GC × GC in forensic laboratories has been limited largely by (1) legal and regulatory guidelines, (2) lack of chemometrics training, and (3) concerns about the reproducibility of GC × GC. The goal of this review is to highlight recent advances in one-dimensional GC (1D-GC) and GC × GC analyses of fuels for compliance and forensic applications, to assist scientists in overcoming the aforementioned hindrances. An introduction to 1D-GC principles, GC × GC technology (column stationary phases and modulators) and several chemometric methods is provided. More specifically, chemometric methods will be broken down into (1) signal preprocessing, (2) peak decomposition, identification and quantification, and (3) classification and pattern recognition. Examples of compliance and forensic applications will be discussed with particular emphasis on the demonstrated success of the employed chemometric methods. This review will hopefully make 1D-GC and GC × GC coupled with chemometric data analysis tools more accessible to the larger scientific community, and aid in eventual widespread standardization.

13.
Heliyon ; 6(11): e05449, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-33241141

RESUMO

In compliance with the socioeconomic theory, the study has strived to investigate the impact of economic and non-economic public policies on tax evasion using panel data of 7 SAARC countries covering the period from 1998 to 2015. The study has applied the ordinary least square with fixed effect and random effect models to analyze the data assembled. The result of the study implies that the higher the degree of economic freedoms, the lower the tax evasion. More specifically, the government policies about property rights, monetary freedom, fiscal freedom and investment freedom have a negative influence on taxpayers' choices of tax evasion while financial freedom result shows a positive effect on tax evasion. Additionally, there is a negative impact of public sector governance and religiosity on tax evasion, which implies the higher the public sector governance and the higher the religious faith amid the people, the lower the degree of tax evasion. The findings of the study are supposed to offer the governments, tax authorities, and research scholars the valuable insights into public policies for reducing the tax evasion to a significant extent.

14.
Front Psychol ; 10: 1034, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31133943

RESUMO

A constructive, highly professional relationship between tax authorities and taxpayers is essential for tax compliance. The aim of the present paper was to explore systematically the determinants of this relationship and related tax compliance behaviors based on the extended slippery slope framework. We used in-depth qualitative interviews with 33 self-employed taxpayers and 30 tax auditors. Interviewees described the relationship along the extended slippery slope framework concepts of power and trust. However, also novel sub-categories of power (e.g., setting deadlines) and trust (e.g., personal assistance) were mentioned. Furthermore, also little-studied categories of tax behavior emerged, such as accepting tax behavior, e.g., being available to the tax authorities, or stalling tax behavior, e.g., the intentional creation of complexity. The results comprehensively summarize the determinants of the tax relationship and tax compliance behaviors. Additionally, results highlight future research topics and provide insights for policy strategies.

15.
Rev. adm. pública (Online) ; 58(4): e2023, 2024. tab, graf
Artigo em Português | LILACS-Express | LILACS | ID: biblio-1575885

RESUMO

Resumo Empresas que emitem documentos fiscais para fraudar o fisco com a transferência de crédito do ICMS sem a circulação de mercadorias causam prejuízo ao erário público e, por conseguinte, à sociedade. Diversas iniciativas de combate a fraudes fiscais têm utilizado, com sucesso, técnicas de análise de dados e aprendizagem de máquina. Este trabalho buscou investigar o uso dessas técnicas na identificação de uma prática específica de fraude fiscal realizada por empresas popularmente conhecidas como "empresas noteiras", que formadas exclusivamente para emitir créditos não devidos de ICMS, imposto sobre operações relativas à circulação de mercadorias e sobre prestações de serviços de transporte interestadual, intermunicipal e de comunicação. Com base na análise documental e em consulta com auditores e especialistas, foram identificadas tipologias e variáveis relevantes na determinação de eventos de sonegação fiscal realizados pelas empresas noteiras. Em torno dessas variáveis, procedeu-se à coleta e à preparação de dados provenientes da Secretaria de Fazenda do Distrito Federal. Com esses dados, foi possível explorar o uso de modelos preditivos baseados em aprendizagem de máquina capazes de apontar comportamentos potencialmente fraudulentos. Os bons resultados obtidos por esses modelos demonstram seu potencial como parte de uma sistemática de monitoramento e auditorias fiscais realizadas pelos órgãos fazendários.


Resumen Las empresas que emiten documentos tributarios para defraudar al fisco con la transferencia de crédito del ICMS (impuesto a las operaciones relacionadas con la circulación. de bienes y de prestación de servicios interestatales, interurbanos y de comunicaciones) sin movimiento de mercancías causan daños al erario público y, por ende, a la sociedad en su conjunto. Varias iniciativas para combatir el fraude fiscal han utilizado con éxito técnicas de análisis de datos y aprendizaje automático. Este trabajo buscó investigar el uso de estas técnicas en la identificación de una práctica específica de fraude fiscal, practicada por empresas conocidas popularmente como 'empresas factureras', constituidas exclusivamente para emitir créditos no vencidos del ICMS. A partir del análisis documental y la consulta a auditores y especialistas, se identificaron tipologías y variables relevantes para la identificación de eventos de evasión fiscal realizados por empresas factureras. En torno a estas variables se recolectaron y prepararon datos desde la Secretaría de Hacienda del Distrito Federal. Con estos datos fue posible explorar el uso de modelos predictivos basados en machine learning capaces de señalar comportamientos potencialmente fraudulentos. Los buenos resultados obtenidos por estos modelos demuestran su potencial como parte de un seguimiento sistemático y auditorías fiscales por parte de las autoridades tributarias.


Abstract Companies that issue tax documents to defraud the tax authorities with the transfer of credits of Brazil's state value-added tax (ICMS) without the movement of goods cause financial losses to the government and, therefore, to society as a whole. Several initiatives to combat tax fraud have successfully used data analysis and Machine Learning techniques. This work sought to investigate the use of these techniques in identifying a specific practice of tax fraud, practiced by shell companies, formed exclusively to issue non-due ICMS credits, the tax on operations related to the circulation of goods, and the provision of interstate, intercity, and communication services. Based on document analysis and consultation with auditors and specialists, typologies and variables relevant to identifying tax evasion events carried out by shell companies were identified. Around these variables, data from the Finance Department of the Federal District were collected and prepared. With this data, it was possible to explore the use of predictive models based on Machine Learning capable of pointing out potentially fraudulent behavior. The good results obtained by these models demonstrate their potential as part of systematic monitoring and fiscal audits by tax authorities.

16.
Swiss J Econ Stat ; 154(1): 23, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30596051

RESUMO

The U.S. Tax Program for Swiss banks is a very significant part of the recent history of the Swiss financial industry. It has accelerated the transformation of the Swiss banking industry from a system that relied on bank secrecy to a much more compliant one. It was also rather costly for the banks involved. This short paper tries to identify the determinants of the individual penalties that were levied by the DoJ. We find that U.S. assets under management is the most important determinant. However, the average size of the accounts, the behavior of the bank vis-à-vis its American clients, the solvency of the bank, and the point in time when the bank settled with the DoJ also matter.

17.
J Bus Ethics ; 149(4): 931-944, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-30996498

RESUMO

We present an analysis of over 400 comments about complying with tax obligations extracted from online discussion forums for freelancers. While the topics investigated by much of the literature on taxpayer behaviour are theory driven, we aimed to explore the universe of online discussions about tax in order to extract those topics that are most relevant to taxpayers. The forum discussions were subjected to a qualitative thematic analysis, and we present a model of the 'universe' of tax as reflected in taxpayer discussions. The model comprises several main actors (tax laws, tax authority, tax practitioners, and the taxpayer's social network) and describes the multiple ways in which they relate to taxpayers' behaviour. We also conduct a more focused analysis to show that the majority of taxpayers seem unconcerned with many of the variables that have been the focus of tax behaviour research (e.g. audits, penalties, etc.), and that most people are motivated to be compliant and are more concerned with how to comply than whether to comply. Moreover, we discuss how these 'real-world' tax discussions question common assumptions in the study of tax behaviour and how they inform our understanding of business ethics more generally.

18.
Rev. crim ; 65(2): 159-170, 20230811. tab
Artigo em Inglês | LILACS | ID: biblio-1537784

RESUMO

This study aims to evaluate the feasibility of using the tax methodology for determining unjustified increases in assets in money laundering cases heard in the courts. It also seeks to identify the errors made by the Tax Authority with the purpose of ascertaining whether these errors could hinder the successful application of the methodology in investigations of money laundering cases. In order to achieve these objectives, a mixed research methodology was conducted that included the analysis of rulings issued during the years 2020 and 2021 by the Peruvian Tax Court and sentences issued by the judiciary. This was complemented by semi-structured interviews with experts from the public sector, academia and accounting with relevant experience on the subject. The study found that there are some practical issues in the application of the methodology that can be overcome and that do not represent an insurmountable constraint. The study also found that the tax methodology allows for a more effective clarification of asset imbalances, and concludes that, once implementation errors have been overcome, the tax methodology can be feasibly employed to the benefit of money laundering investigations.


Esta investigación tiene como objetivos evaluar la factibilidad de utilizar la metodología tributaria de determinación de incrementos patrimoniales no justificados en la investigación de desbalances patrimoniales de casos de lavado de dinero ventilados en la vía jurisdiccional e identificar los errores que ha cometido la Administración Tributaria, a fin de establecer si estos representan problemas que pudieran dificultar la aplicación de la metodología a la investigación de casos de lavado de dinero. Con el propósito de lograr estos objetivos se condujo una investigación mixta que incluyó el análisis de las resoluciones emitidas durante los años 2020 y 2021 por el Tribunal Fiscal y sentencias emitidas por el poder judicial. Esto se complementó con entrevistas semiestructuradas a expertos del sector público, la academia y peritos contables con experiencia relevante sobre el tema. La investigación encontró que existen algunos empirismos aplicativos que pueden ser superados y que no representan ninguna restricción que no pueda ser gestionada. Se halló también que la metodología tributaria permite esclarecer de manera más efectiva los desbalances patrimoniales. La investigación concluye que, superados los errores de ejecución, es factible utilizar con ventaja la metodología tributaria en las investigaciones de lavado de dinero.


O objetivo desta pesquisa é avaliar a viabilidade do uso da metodología tributária para determinar aumentos injustificados de patrimônio na investigação de desproporções patrimoniais em casos de lavagem de dinheiro julgados nos tribunais e identificar os erros cometidos pela Administração Tributária, a fim de estabelecer se estes representam problemas que poderiam dificultar a aplicação da metodologia na investigação de casos de lavagem de dinheiro. Para atingir esses objetivos, foi realizada uma pesquisa mista que incluiu a análise de decisões emitidas durante 2020 e 2021 pelo Tribunal Tributário e sentenças emitidas pelo judiciário. Isso foi complementado por entrevistas semiestruturadas com especialistas do setor público, acadêmicos e especialistas em contabilidade com experiência relevante no assunto. A pesquisa constatou que existem alguns empirismos de aplicação que podem ser superados e que não representam nenhuma restrição que não possa ser gerenciada. Também foi constatado que a metodología tributária permite um esclarecimento mais eficaz das desproporções patrimoniais. Na pesquisa, conclui-se que, uma vez superados os erros de implementação, é viável utilizar a metodologia tributária com vantagem nas investigações de lavagem de dinheiro.


Assuntos
Humanos , Peru , Comportamento Criminoso , Corrupção
19.
Theory Decis ; 82(4): 543-565, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-32103844

RESUMO

The standard expected utility (EUT) model of tax evasion predicts that evasion is decreasing in the marginal tax rate (the Yitzhaki puzzle). Recent literature shows cases in which incorporating prospect theory (PT) does and does not overturn the Puzzle. In a general environment that nests both PT and EUT preferences, we provide a detailed study of how the elements of PT affect the Puzzle. PT does not always reverse the Puzzle, hence we give and interpret conditions for when it does and does not. When allowing for stigma and/or variable audit probability, PT reverses the Puzzle in the same way and with the same limitations as does EUT, if equally augmented.

20.
Rev. adm. pública (Online) ; 56(3): 426-440, mai.-jun. 2022. tab, graf
Artigo em Português | LILACS | ID: biblio-1387590

RESUMO

Resumo A evasão fiscal é a consequência da prática da sonegação. Apenas no Brasil, estima-se que ela corresponda a 8% do PIB. Com isso, os governos necessitam de sistemas inteligentes para apoiar os auditores fiscais na identificação de sonegadores. Tais sistemas dependem de dados sensíveis dos contribuintes para o reconhecimento dos padrões, que são protegidos por lei. Com isso, o presente trabalho apresenta uma solução inteligente, capaz de identificar os perfis de potenciais sonegadores com o uso apenas de dados abertos, públicos, disponibilizados pela Receita Federal e pelo Conselho Administrativo Tributário do Estado de Goiás, entre outros cadastros públicos. Foram gerados três modelos que utilizaram os recursos Random Forest, Redes Neurais e Grafos. Em validação depois de melhorias finas, foi possível obter acurácia superior a 98% na predição do perfil inadimplente. Por fim, criou-se uma solução de software visual para uso e validação pelos auditores fiscais do estado de Goiás.


Resumen La evasión fiscal es la consecuencia de la práctica de la defraudación tributaria. En Brasil, se estima que corresponde al 8% del PIB. Por lo tanto, los gobiernos necesitan y utilizan sistemas inteligentes para ayudar a los agentes de hacienda a identificar a los defraudadores fiscales. Dichos sistemas se basan en datos confidenciales de los contribuyentes para el reconocimiento de patrones, que están protegidos por ley. Este trabajo presenta una solución inteligente, capaz de identificar perfiles de potenciales defraudadores fiscales, utilizando únicamente datos públicos abiertos, puestos a disposición por la Hacienda Federal y por el Consejo Administrativo Tributario del Estado de Goiás, entre otros registros públicos. Se generaron tres modelos utilizando random forest y neural networks. En la validación después de finas mejoras, fue posible obtener una precisión superior al 98% en la predicción del perfil moroso. Finalmente, se creó una solución de software visual para uso y validación por parte de los auditores fiscales del estado de Goiás.


Abstract Tax evasion is the practice of the non-payment of taxes. In Brazil alone, it is estimated as 8% of GDP. Thus, governments must use intelligent systems to support tax auditors to identify tax evaders. Such systems seek to recognize patterns and rely on sensitive taxpayer data that is protected by law and difficult to access. This research presents a smart solution, capable of identifying the profile of potential tax evaders, using only open and public data, made available by the Brazilian internal revenue service, the administrative council of tax appeals of the State of Goiás, and other public sources. Three models were generated using Random Forest, Neural Networks, and Graphs. The validation after fine improvements offered an accuracy greater than 98% in predicting tax evading companies. Finally, a web-based solution was created to be used and validated by tax auditors of the State of Goiás.


Assuntos
Impostos , Inteligência Artificial
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