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The “slippery slope” framework assumes that trust and power are alternative approaches to attaining taxpayers’ compliance and for reducing tax evasion. This study aimed to investigate whether the impacts of power and trust dimensions previously found in developed countries also exist in developing countries, such as Indonesia. Data were collected through a researcher-administered questionnaire survey of 274 small business taxpayers and were then analyzed through stepwise linear regressions. The results show that trust significantly influences voluntary tax compliance, but neither trust nor power promotes enforced tax compliance. Ultimately, this study’s findings only partly support the assumptions of the “slippery slope” framework. This study also contributes to current global literature on the influence of trust and power in voluntary and enforced tax compliance in developing countries, especially in Asia.

This paper examined tax compliance and its impact on agrochemical traders in Ghana.

Based on the registered agrochemical lists obtained from the Plant Protection and Regulatory Service Department, 92 agrochemical traders were sampled for data collection. Probit regression was used to estimate determinants of tax compliance, whereas the Inverse Probability Weighted Regression Adjustment Model was employed to evaluate the impact of tax compliance on business performance.

The results revealed that age and gender relate positively to enforced tax compliance, while education positively impacts voluntary tax compliance. Nonetheless, tax rate, trust and monthly sales positively affect voluntary tax compliance but negatively impact enforced tax compliance. Inversely, while authorities’ power negatively impacted voluntary compliance, it positively influenced enforced tax compliance confirming the Slippery Slope Framework.

To the best knowledge of the authors, this paper is the first to investigate tax compliance determinants and impact among agrochemical traders, despite the tremendous growth of the agrochemical sub-sector in Africa and Ghana. Therefore, this study makes a modest contribution to empirical studies that validate the Slippery Slope Framework in promoting tax compliance in the agricultural and agribusiness sectors of a developing country. Similarly, it also unearths the impact of tax compliance on agribusiness growth which has yet to be highlighted in the extant literature.

The purpose of this paper is to extend the slippery slope framework by exploring different dimensions of compliance quality and tax minimisation under different tax climate manipulation by groups.

The authors run a random assignment of tax climate manipulations through questionnaire with 301 usable data collected from the full-time postgraduate students, employed individuals and self-employed individuals. Manipulation check and results are generated via multivariate analysis of variance.

The results confirm the biggest impact of synergistic climate on voluntary compliance, and small to medium impact of antagonistic climate on tax evasion across three groups.

The manipulation of this research is constrained with two treatments in addition to the common pitfall of social desired responses of self-report.

Theoretically, this study empirically explores tax minimisation dimensions and provides new insights that only illegal tax minimisation is at maximum under the prevailing negative antagonistic climate, but not for legal tax minimisation. Second, the effect of tax climate represented by trust and power on enforced compliance is minimal, as compared to the strong effect of positive synergistic climate on voluntary compliance. As for policy implications, possible guidelines and interventions are outlined to policy makers which would lead to a better quality of compliance behaviour.

This study operationalises and manipulates tax climate from perceptions of trust, legitimate power and coercive power. It also further affirms the prior inconsistent findings in respect of tax behavioural intentions due to sampling group and cultural differences.

We experimentally investigate how the level of government (either federal or state) and whether funding is being allocated to enforcement or service efforts in a revenue agency affects trust in the agency, as well as support for the funding initiative. We find that the two independent variables interact, such that trust in the state agency is not affected by whether the proposed funding would be allocated to service or enforcement efforts. But, at the federal level (the Internal Revenue Service), trust in the agency is significantly higher when the proposed funding is to hire additional service employees as opposed to hiring additional enforcement employees. We also find that the level of government moderates the mediating effect of trust in the agency on the relation between the use of funds and support for the funding.

This paper aims to examine different types of sharing platforms based on risk perceptions of product/service providers and users, and to illustrate appropriate platform regulation preferences.

A survey was used (N = 540) to collect data on platform participants’ risk perceptions and regulation preferences in the Chinese (N = 263) and the US markets (N = 277). Cluster analysis and multiple correspondence analysis were used to categorise platforms and match their regulation preferences with the risk characteristics.

The results show that i) four types of sharing platforms are categorised in terms of the risk perceived by the supply and demand side, and ii) four types of regulation preferences are clustered, drawing on the power and trust elements proposed from the slippery slope framework. Furthermore, coercive power regulation is favoured by participants of platforms with high supply risk and low demand risk, legitimate power regulation is preferred by actors of platforms with low supply risk and high demand risk, reason-based trust regulation is preferred by actors of platforms with high supply and demand risk, and implicit trust regulation is favoured by participants of platforms with low supply and demand risk.

This paper develops an empirical typology of platforms based on risk perceptions of providers and users, and advances our understanding about lateral exchange markets from a consumer perspective.

This paper provides implications for platforms to regulate transactions through two mechanisms – the power of platforms and trust in platform participants.

Regulating by power ensures transaction security while regulating by trust enhances transaction efficiency, so it is important to configure the power and trust elements in platform regulation in an appropriate manner. To the best of the authors’ knowledge, this paper is one of the first attempts at addressing platform regulation and shows how consumers’ risk perception of platforms can lead to important implications for theory and practice in marketing and better regulation of platform transactions.

This study examines the determinants of enforced tax compliance behavior of Malaysian citizens where trust in tax authorities is assumed to be a mediator. Quota sampling method was used to select a sample of 340 participants to participate in a survey. A two-step structural equation modeling (SEM) process was adopted to test a framework comprising 13 hypotheses. Model fit was initially measured using confirmatory factor analysis (CFA) while model specification was applied in the second stage to test the structural relationship. The mediating effects of trust in tax authorities were tested via Baron and Kenny (1986) approach, bootstrapping, and AMOS AxB estimand. The findings confirmed that trust in government, trust in tax administrator, power of Inland Revenue Board of Malaysia, and awareness influence enforced compliance. However, tax morale and tax amoral behaviors do not influence enforced compliance. The findings suggest that citizens would fulfill their tax responsibilities if they believe that tax authorities are effective in tax administration. Trust in government fosters trust in the tax authorities. This study contributes to existing literature by confirming the factors that affect enforced tax compliance.

Tax evasion and tax compliance have been popular research subjects for several decades. This paper aims to present a comprehensive review of the literature explaining individual taxpayer's behaviour.

Recognizing Allingham and Sandmo's model as the starting point, important modern behavioural approaches in conjunction with the social disciplines are reviewed.

Synthesis of findings suggests a wide array of factors influencing the tax evasion – tax compliance decision. So far, the most comprehensive explanation incorporating the attributive factors along with their interactions belongs to Kirchler et al.'s “slippery slope framework”.

Tax compliance's importance in public finance increases dramatically within the current sovereign debt crisis in the global economic environment. In light of the developments in the front of behavioural economics, further research is needed to validate all hypotheses.

The contribution of the present paper lies on the review and categorization of alternative approaches in economic theory, including recent developments and applications within the general scope of behavioral economics.

It is basically known that the oil and gas industry contributes to various forms of pollution through air, acid rain and water, as well as different kinds of illnesses in humans and aquatic animals. Eventually, this adversely contributes to climate change owing to increases in emission levels in various stages of oil and gas operations ranging from extraction, refining, transportation and even consumption. Therefore, the purpose of this paper is to produce a simplistic model for compliance with environmental taxes in the oil and gas industry as an effort to curtail such adversities. This attempt is expected to set a new pace for heated debates towards the production of a robust environmental tax compliance model through further research. Specifically, it has examined the effect of extensive regulation and use of power in ensuring compliance with environmental taxation via enforcement mechanisms.

The study used a quantitative research design through a positivist paradigm. The population of the study was 115 respondents who were identified as tax experts in three different stakeholder groups (regulators, operators and enforcers) in the Nigerian oil and gas industry. Out of this population, 103 served as the final sample of the study. The data collected from these tax experts were analyzed through partial least squares structural equation modelling.

The results revealed that both extensive regulation and the use of power have high likelihoods of enhancing compliance with environmental taxes through enforcement actions by the relevant authorities within the oil and gas industry.

The results implied the need for policymakers to deploy these enforcement mechanisms to enhance compliance with environmental taxes in the oil and gas industry, which will eventually reduce the environmental menace and ensure cleaner production. The paper also has highlighted the need for future researchers to expand this discussion through an elaborative approach either through disaggregating the variables studied here or integrating voluntary compliance mechanics into the model for further understanding of the drivers of environmental tax compliance. It also implied the need to utilize larger sample in other oil producing countries to improve generalization of results.

The work could be the pioneer in proposing and validating the enforced environmental tax compliance model in the oil and gas industry.

The policy approach in Pakistan with regard to combating the informal economy has remained quite myopic and skewed in its reliance on measures informed by the rational economic-actor theory as opposed to the social-actor approach. Thus, this study attempts to evaluate and synthesise the two alternative policy approaches and formulate a more theoretically integrative understanding of the subject.

The authors gather data from 600 micro-entrepreneurs operating in the retail and wholesale sector of Lahore, Pakistan, which is then analysed using an ordered logit regression technique.

In contrast to more developed countries, the finding here is that higher perceived penalties have a highly significant and positive impact on the level of formality of Pakistani micro-entrepreneurs. The perceived risk of detection, meanwhile, has only a moderately significant impact on the micro-entrepreneurs level of formality. Likewise, the level of vertical and horizontal trust has a positive but moderately significant impact on the level of formality. Nonetheless, both the vertical and horizontal trust exhibit a very significant moderating effect on the relationship between the use of penalties and the level of formality, that is, the higher the level of trust that the micro-entrepreneurs have in the state and other businesses, the lower is the effectiveness of punitive measures.

Deterrence is an effective way to enhance the level of formality in the case of the Pakistani context. Nonetheless, the authors imply that without building trust, this overreliance on punitive and detective measures can actually be counter-productive. A combined and congruent (not sequential) use of voluntary compliance measures is thus warranted.

It is a unique attempt to evaluate and synthesise the global policy theorisations in a non-mainstream and antagonistic climate, such as Pakistan.

Collaborative consumption, such as car sharing, specifically implicates customer-to-customer interaction, which must be regulated by service providers (companies, peers and self-regulating communities), comprising different challenges for business organizations. While in conventional business relations, consumers are protected from undesirable customer behavior by laws, regulations (power) in the context of collaborative consumption are rare, so that trust becomes more relevant. It is the purpose of the study to investigate possible mechanisms to prevent undesirable customers in collaborative consumption.

In between subject designs, samples of 186 and 328 consumers filled in experimental online questionnaires with vignettes. Analyses were made of differences among car sharing companies, private persons and car sharing communities in terms of the power of providers, trust in providers and trust in other users of the shared goods, undesirable customer behavior and consumer–provider relations.

Companies, private persons and self-regulating communities differ in terms of perceived power and trust. Participants specifically perceive mainly coercive power with the car sharing company, but with the private person and the community, reason-based trust in other users is perceived as prevalent. Nevertheless, undesirable customer behavior varies only marginally over the models.

The present study is the first to investigate measures to prevent undesirable customer behavior over different collaborative consumption models. This enables appropriate identification of market segments and tailoring of services. The study identifies opportunities for companies in contrast to private persons and self-regulating communities and, in doing so, provides important stimulation for marketing strategy and theory development.