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This study examines the impacts of three individual values on the willingness to pay and perceived fairness of use tax on Internet purchases. Analysis of survey data collected from 114 taxpayers reveals that while a strong sense of national identity is significantly correlated with fairness perceptions of use tax, it is not significantly related to perception of willingness to pay use tax. Our findings suggest that taxpayers with a high level of religiosity are more willing to pay use tax, although they do not perceive the use tax to be fair.

Online retailers often lack nexus within a purchaser’s home state and do not collect sales tax at the point of sale. Consumers exacerbate the loss of tax revenue by typically not remitting the use tax on these purchases. To date, very little research addresses the effectiveness of methods to increase use tax compliance, and the need for more work is well documented in the literature.

This study examines, in a controlled economics-based experiment, the effectiveness of current approaches to close the use tax gap. Participants are randomly assigned to one of three treatments to determine the extent to which they would voluntarily pay use tax on a purchase transaction. The experiment mimics the natural environment and measures the participants’ actual compliance with cash payouts.

We find individuals are significantly more likely to pay the use tax when given detailed information about their online purchases and the use tax obligation compared to only receiving a description of the use tax. We also find compliance is significantly higher when individuals have a separate state income tax line on which to report use tax liability.

Unlike personal income tax compliance, consumers are more likely to evade use tax payments because taxing authorities are usually unable or unwilling to audit consumer purchases. This makes an examination of the effectiveness of reporting and collection methods worthwhile. This study measures use tax compliance based on actual consumer behavior with real economic consequences rather than taxpayer intentions, as reported in prior work. This is important because intentions and behavior are often different, especially in an economic setting. Finally, policymakers will benefit from an effectiveness-assessment of actual methods, rather than hypothetical and potentially unfeasible approaches, to try and increase use tax compliance.

This chapter presents a review of the recent sales and use tax (SUT) literature for accountants, focusing on articles published between 2000 and 2011 in traditional accounting outlets. State and local taxes are an important component of accounting research, but the SUT element of state and location taxation has not been reviewed from an accounting perspective. This review indicates that most recent SUT research has focused on evaluating current or proposed SUT structures, or on empirically studying the antecedents and consequences of SUT policy. Behavioral researchers have substantial opportunities to contribute to the SUT field in future studies by conducting surveys, behavioral experiments, and qualitative case studies to further expand the field's understanding of SUT's antecedents and consequences. Overall, this chapter provides a comprehensive overview of recent SUT research that can help to foster interest of SUT within behavioral accounting research and beyond.

I examine patterns of making or deferring strategic repatriations that firms can use to either meet analysts' forecasts or defer to maintain future reported earnings flexibility. First, I examine the extent to which firms repatriate earnings from high foreign tax subsidiaries to decrease US tax expense, resulting in increased net income and lower cash taxes. Using federal tax return information, I find evidence that firms strategically repatriate these earnings to meet or beat current analysts' forecasts. Next, I find evidence that firms that are able to obtain current year tax reductions defer these repatriations in an attempt to build cookie-jar reserves. Lastly, I find that firms do not disclose high foreign tax repatriations (HTRs), even when required by SEC rules. This study contributes to the earnings management, tax avoidance, and disclosure literature by examining a discretionary tax planning strategy.

The purpose of this paper is to analyze the Double Irish and Dutch Sandwich (DIDS) tax schemes used by international companies. Companies using these schemes are enabled to transfer a large amount of their profits to offshore tax havens by using wholly owned subsidiaries located in Ireland and the Netherlands. This paper also analyzes the US General Anti-Avoidance Rule (GAAR) to see whether it can effectively detect and counteract this scheme. This analysis is furthermore enhanced by applying the Mauritian GAAR through Section 90 of the Income Tax Act to the said schemes.

Concerning research methods, the library and the internet will be the main sources of information to be used for this paper. Through the usage of library research, the Mauritian Income Tax Act, US GAAR, European Commission decisions and scholar writings will further enhance this paper on the structure and preventive actions that can be taken against the DIDS scheme. This paper will also use a case study coupled with a theoretical analysis of current anti-avoidance rules.

The paper then concludes that it is possible to counteract the schemes using the Mauritian law but under specific circumstances. It is then revealed that there is a fundamental flaw in the current tax systems, which is the inability to regulate the intangible nature of resources and technology-based transactions.

To the author's knowledge, this paper is among the first literature on the subject of DIDS strategies conducted in the context of Mauritius.

A tax based on land value is in many ways ideal, but many economists dismiss it by assuming it could not raise enough revenue. Standard sources of data omit much of the potential tax base, and undervalue what they do measure. The purpose of this paper is to present more comprehensive and accurate measures of land rents and values, and several modes of raising revenues from them besides the conventional property tax.

The paper identifies 16 elements of land's taxable capacity that received authorities either trivialize or omit. These 16 elements come in four groups.

In Group A, Elements 1‐4 correct for the downward bias in standard sources. In Group B, Elements 5‐10 broaden the concepts of land and rent beyond the conventional narrow perception, while Elements 11‐12 estimate rents to be gained by abating other kinds of taxes. In Group C, Elements 13‐14 explain how using the land tax, since it has no excess burden, uncaps feasible tax rates. In Group D, Elements 15‐16 define some moot possibilities that may warrant further exploration.

This paper shows how previous estimates of rent and land values have been narrowly limited to a fraction of the whole, thus giving a false impression that the tax capacity is low. The paper adds 14 elements to the traditional narrow “single tax” base, plus two moot elements advanced for future consideration. Any one of these 16 elements indicates a much higher land tax base than economists commonly recognize today. Taken together they are overwhelming, and cast an entirely new light on this subject.

This study examines the effect of using a computerized decision aid on student cognitive effort and learning in the first tax course. Students at a mid-western university in the United States prepared a 1040 tax return using either paper or tax software from a given set of taxpayer information. Students using paper forms reported higher levels of cognitive effort than did students using the tax software, however, no association between self-efficacy and cognitive effort was found. A test for association between decision aid type and inferential (higher-level) learning (the third level of Bloom's taxonomy) found cognitive effort to be statistically significant. The study also found a significant interaction between cognitive effort and experience. These results suggest that paper forms, which require students to work through task processes, may be better instructional tools for helping students acquire a deeper understanding of subject matter. Although tax software provides potential benefits of increased accuracy and speed, practitioners should be aware of its limitations as a learning tool.

I reexamine the conflicting results in Frank, Lynch, and Rego (2009) and Lennox, Lisowsky, and Pittman (2013). Frank et al. (2009) conclude that firms can manage book income upward and taxable income downward in the same period, implying a positive relation between aggressive book and tax reporting. Lennox et al. (2013) conclude the relation is negative and aggressive book reporting informs users that aggressive tax reporting is less likely. I identify four key differences in the research designs across the two studies, including measures of aggressive book reporting, measures of aggressive tax reporting, sample time periods, and empirical models. I systematically examine whether each of these differences is responsible for the conflicting results by altering the key difference while holding other factors as constant as possible. I find the relation between aggressive book and tax reporting is driven by the measure of aggressive book reporting, as the relation is positive for some subsets of firms and negative for others. Firms accused of financial statement fraud have a negative relation while nonfraud firms exhibit a positive relation. Using discretionary accruals, I also look for, but do not find a “pivot point” in the relation between aggressive book and tax reporting. I provide a better understanding of the relation between aggressive book and tax reporting by identifying research design choices that are responsible for prior results. I show that measures of both discretionary accruals and financial statement fraud are necessary to gain a more complete picture of the relation between aggressive book and tax reporting.

Environmental taxes have been in place for many years to reduce environmental damage and pay more attention to the environment. However, some of the adverse socio-economic impacts that may result from such taxes and the many challenges facing developing countries have necessitated policy reform. Therefore, identifying and prioritizing the factors related to environmental tax reform (ETR) is necessary to help governments and environmental protection agencies (EPAs) focus on this prioritizing to develop and improve this process. Awareness of the benefits of ETR encourages governments to use this policy to reduce adverse environmental impacts and contribute to economic growth.

The primary purpose of this work is to prioritize and taxonomy the factors related to ETR using the Fuzzy Analytic Hierarchy Process (FAHP) approach. In the first stage, 25 factors were extracted from the available literature. These factors were divided into five categories for more accessible review. In the second stage, the FAHP as a Multiple-Criteria Decision-Making (MCDM) Technique was used to prioritize and develop the taxonomy of identified factors and the categories of these factors.

The results show that reducing carbon emissions (DF4) is the essential prioritization factor that governments and environmental organizations can achieve if the ETR is implemented. Following that, reducing greenhouse gas emissions (DF1), double benefit (EcF7) and increase sustainability reports (EnF4) can be achieved by implementing ETR.

This study is geographically limited to Iran. In terms of the study population, this study is limited to 25 academic, tax and public policy experts. Moreover, in this study, FAHP is the only approach used. For further research, the results of this study can be compared with that of other multi-criteria techniques like FAHP, fuzzy TOPSIS or BWM.

Ratings of factors related to ETR can guide and help governments identify important factors that affect environmental tax reform, which can, in addition to controlling ecological pollution will, increase the economic benefits of governments.

This study is the first to identify factors related to environmental tax reform and to develop an MCDM technique for prioritizing these factors and finding important ones.