1. Introduction
Taxation is critical for both advanced and developing nations’ economic growth. In underdeveloped countries, tax evasion is a major challenge for tax revenue collection (
Umar et al. 2019). Governments raise tax revenue in order to provide essential social services to its citizens for the fostering of social and economic development. However, despite the varying importance of taxation for the productivity growth of both developing and developed nations, Jordan, as a developing country, confronts tax evasion challenges (
Al-Rahamneh and Bidin 2022). Tax evasion is a serious phenomenon since it affects any country that relies on taxes for revenue (
Islam et al. 2020;
Batrancea et al. 2019). When compared with advanced economies, tax evasion activities are worsening in developing economies. For the governments, it is somewhat similar to an epidemic that they cannot control (
Kassa 2021). Tax evasion affects a government’s ability to improve the living standards of its citizenry and to allocate a budget for expenditure; it hinders the economic growth of countries, costing an estimated 20% of tax revenue (
degl’Innocenti et al. 2022). Despite numerous attempts to address this dilemma, it remains a threatening and intractable challenge (
Umar et al. 2019). Tax evasion not only depletes a nation’s revenue, but also interrupts infrastructure provision, thus, harming the nation’s socio-economic well-being.
Therefore, the taxpayers’ ability to pay tax is crucial towards achieving a successful and long-term inflow of tax revenue. According to statistics, SMEs represent 95.1% of the companies from all businesses in Jordan, roughly 23% of the Gross Domestic Product (GDP) and 41% of total jobs (
Al-Zoubi 2018;
Abed 2020). SMEs play a critical role in the economic development of a country, serving as its financial backbone. SMEs make significant contributions not only in terms of numbers, but also in the provision of jobs (
Alraja et al. 2020;
Talukder et al. 2020). Their contribution to income and well-being drives opportunities and business improvement, individual ability and self-confidence, political stability and social change, distributary and democratic objectives, and also reduces poverty and unemployment (
Alraja et al. 2020;
Sharma et al. 2020). SMEs that are sufficiently and successfully developed will have a significantly positive effect on national economic growth. According to a Jordanian study conducted by
Abu Alfoul et al. (
2022) from 1980 to 2018, the projected average of the hidden economy was 17.6% of the GDP, which accounts for a sizable portion. Furthermore, these findings indicated that Jordan’s hidden economy grew from 11.8% in 1980 to 22.4% in 2018. Recently,
Ghazo et al. (
2021) stated that the approximate tax evasion in the Jordanian economy in 2016 was JOD 613.928 million. Following that, it increased to JOD 773.31 million in 2019, accounting for 2.4% of the GDP and 17 % of sales tax revenues.
Based on these statistics, there are two important aspects that need to be addressed. Firstly, there is a need to immediately act to collect sales tax revenue from the unsupervised economy. Secondly, a deeper knowledge is required to understand why taxpayers evade paying sales tax and how this problem can be addressed, or at the very least, mitigated (
Alstadsæter et al. 2022). To enforce compliance, tax authorities have largely relied on deterrent measures such as conducting tax audits and investigations and imposing harsher penalties on obstinate taxpayers (
Sikayu et al. 2022). Therefore, a deeper understanding of the socio-psychological factors that influence taxpayer behaviour is critical, as it supplements the limitations of deterrent measures. Socio-psychological factors such as tax fairness, peer influence, and moral obligation are not completely new in the domain of taxes. However, there is still a paucity of literature on tax evasion among SMEs. Thus, the current study provides important empirical evidence regarding the effect of tax fairness, peer influence, and moral obligation on sales tax evasion among SME owner-managers. Furthermore, tax fairness, peer influence, and moral obligation may be perceived in different ways in developing countries. Countries with well-developed socio-economic infrastructure may regard the various elements of tax fairness, peer influence, and moral obligation as insignificant in influencing the tax compliance of SME owner-managers. The contrary occurs for SMEs in developing countries, where most of the areas remain underdeveloped (
Sikayu et al. 2022).
4. Research Methodology
This study employed a quantitative research design in determining the effect of tax fairness, peer influence, and moral obligation on tax evasion in Jordan. Furthermore, when examining the relationships between variables and testing hypotheses, quantitative design methods are the most appropriate and logical. The common objective of quantitative research is to test theories or answer specific research questions (
Zikmund et al. 2013). In both developing and developed countries, studies of tax behaviour generally utilise quantitative methodologies (
Fjeldstad and Semboja 2001;
Saad 2011;
Verboon and van Dijke 2011).
Creswell and Creswell (
2017) further affirmed that a quantitative approach was appropriate for complex studies involving numerous factors. Predetermined instruments and closed-ended questions can be used to examine the variables in consideration, permitting statistics and data to be analysed using statistical processes (
Creswell and Creswell 2017;
Trochim and Donnelly 2008).
The target population for this study entailed Jordanian SME owner-managers, whose perspectives are important in understanding the factors influencing sales tax evasion behaviour. There are an estimated 166,154 SMEs in Jordan (
Jordanian Department of Statistics 2021) from which a sample size of 382 was drawn. It was measured by employing
Krejcie and Morgan’s (
1970) criterion. However,
Israel (
1992) recommended increasing the sample size by at least 30% to offset potential non-responses. Thus, the sample size was expanded to 500 to obtain more respondents and to tackle the probability of non-responses. A total of 500 questionnaires were distributed directly to the target population, i.e., the SME owner-managers using mail, online and drop-off modes.
The present study obtained 212 completed questionnaires, representing a 42.4% response rate which was considered as adequate and reasonable. All questionnaire items were measured using a five-point Likert scale whereby (1) denoted strongly disagree, and (5) denoted strongly agree. The 14 items for sales tax evasion were adapted from
Gilligan and Richardson (
2005). Another seven items were used to measure tax fairness, which were all adapted from
Gilligan and Richardson (
2005). Six items were adapted from
Bobek et al. (
2007) to measure peer influence. In addition, four items measured moral obligation. One item was adapted from
Bobek and Hatfield (
2003), and another three were adapted from
Beck and Ajzen (
1991).
5. Data Analysis and Results
The data in the current study was analysed using the partial least squares structural equation modelling (PLS-SEM) analysis technique using Smart PLS 3.3.9. PLS-SEM is a statistical technique that is gaining the attention of many researchers for analysing empirical data in a variety of areas, including tax behaviour (
Farouk et al. 2018). PLS-SEM modelling is suitable for analysing complicated models with a large number of items, variables, and relationships (
Chin 2010). In this study, PLS-SEM was used for evaluating the measurement and structural models. PLS-SEM comprises a two-stage analytical technique as recommended by
Hair et al. (
2021), entailing the measurement model (indicator reliability, internal consistency reliability, convergent validity, and discriminant validity) and the structural model, namely, testing the path coefficients β significance through bootstrapping procedures for a direct association, coefficient of determination (R
2), effect size (f
2) for a direct association, and determining the predictive relevance of the model (Q2).
5.1. Assessment of Measurement Model
Convergent validity and discriminant validity were the two types of models examined to evaluate the reflective measurement model prior to hypothesis testing. The indicators loading, average variance extracted (AVE), Cronbach’s Alpha (CA), and composite reliability (CR) are all used to evaluate the measurement’s convergent validity. On each construct, the following results were found following the measurement assessment: (i) as suggested by
Hair et al. (
2011), the indicators’ loadings were found to be higher than 0.60, thus, achieving the cut-off point of 0.4 to 0.7; (ii) the AVE values were also higher than the minimum criterion of 0.50, i.e., ranging from 0.516 to 0.787; (iii) the CA and CR values ranged from 0.766 to 0.965, and 0.841 to 0.969, respectively, thus, meeting the acceptable value of 0.70 for CR and CA evaluations (
Hair et al. 2017;
Salleh et al. 2016). Consequently, the present study was considered to have acceptable convergent validity based on the findings.
Table 1 and
Figure 2 summarise the results of convergent validity.
Discriminant validity was mainly used to determine the construct validity of the measurement models (
Hair et al. 2017).
Fornell and Larcker’s (
1981) criteria and heterotrait–monotrait (HTMT) ratio were utilised to assess the discriminant validity. As suggested by
Hair et al. (
2017) the square root of the AVE of each construct should be higher than its highest correlation with any other construct in the model. The square root of AVE ranged between 0.718 to 0.887, which was greater than any of the other latent variables’ correlation. These results indicated that the discriminant validity was sufficient for further research. The bolded values on the diagonals represent the square root of the AVE, which were greater than the corresponding row and column values.
Fornell and Larcker’s (
1981) criteria are presented in
Table 2 below.
The heterotrait–monotrait (HTMT) ratio of correlations was used to assess the discriminant validity, which shows the extent to which constructs are distinctive from one another (
Henseler et al. 2015).
Henseler et al. (
2015) and
Kline (
2015) recommended a threshold of 0.85, for the constructs to be determined as conceptually different.
Table 3 includes a summary of the discriminant validity result, which was demonstrated by values of less than 0.85.
The measurement model constructed utilising Smart PLS is shown in
Figure 2 below.
5.2. Assessment of the Structural Model
Using a 5000-bootstrapped sample, the significance of the path coefficients was assessed using t-statistics and
p-values derived from the structural model of PLS (
Hair et al. 2017). The statistical estimates of the structural model path coefficients are presented in
Table 4 and
Figure 3 below. The first hypothesis predicted a negative relationship between tax fairness and sales tax evasion based on the hypothesis development; however, the findings showed a significant relationship (β = −0.149, t = 2.823,
p < 0.05), which assumed that an increase in tax fairness would lead to a decrease in tax evasion. It also indicated that the relationship was statistically significant. This meant that there was enough evidence to support the established relationship between tax fairness and tax evasion. The
p-value was 0.003. Therefore, hypothesis 1 was supported.
The second hypothesis postulated a positive relationship between peer influence and sales tax evasion. The findings showed a positive relationship (β = 0.057, t = 1.687, p < 0.05), which also signified that an increase in peer influence would result in an increase in tax evasion. The t-statistic was 1.687, indicating statistical significance in the relationship. The P-value was 0.011 which also signified that there was sufficient evidence to support the second hypothesis. The third hypothesis proposed a negative relationship between moral obligation and sales tax evasion. The findings showed a negative relationship (β = −0.906, t = 2.229, p < 0.05), which presumed that an increase in moral obligation would reduce the prevalence of tax evasion. It also indicated that the relationship was significant statistically. This illustrated that there was adequate evidence to confirm the established relationship between moral obligation and sales tax evasion. The p-value was 0.000 which indicated that there was sufficient evidence to support the third hypothesis.
The coefficient of determination (R
2) is one of the most important criteria for evaluating structural models using PLS-SEM. In a research model, the R
2 explains how one or more exogenous latent constructs explain the variation in the endogenous latent construct (
Hair et al. 2017). The R
2 value for the current study was 0.917 as shown in
Figure 3 and
Table 5, indicating that the exogenous latent variables together explained 91.7% of the variance in tax evasion. Meanwhile, other factors outside the current model explain the remaining percentage.
The effect size (f
2) was the criterion used to evaluate the PLS structural model. After calculating the R
2, the f
2 was evaluated to determine if an exogenous variable’s influence on the endogenous variable was significant (
Hair et al. 2017). In a structural model, the f
2 is the change in R
2 in the endogenous construct when the exogenous construct is either retained or omitted.
Cohen (
1988) classified f
2 into three groups in the structural model: 0.02 to 0.14 denotes a small effect, 0.15 to 0.34 denotes a medium effect, and 0.35 and above denotes a large effect. Based on
Table 6, the f
2 values for moral obligation, peer influence, and tax fairness were 0.001, 0.033, and 0.031, respectively. The direct relationship’s effect size on tax evasion ranged from no effect to a small effect. This means that the missing construct in the model had no effect on the endogenous construct. It was, however, at an acceptable level.
Predictive relevance (Q
2), a resampling technique, is another important statistics value (
Hair et al. 2017). The blindfolding technique was used with single or multiple items in a reflective measurement model to assess the predictive relevance of the endogenous variable (
Hair et al. 2017). As recommended by
Hair et al. (
2017) and
Henseler et al. (
2009), a cross-validated redundancy measure (Q
2) value higher than zero indicated the model’s predictive importance. The results of this test revealed that the study’s model had predictive relevance value for the endogenous variable, as illustrated in
Table 7.
6. Discussion
This study aimed to examine the socio-psychological factors affecting sales tax evasion among Jordanian SMEs. Tax fairness was found to be negatively and significantly related to sales tax evasion for the direct relationship hypothesis. Hence, this hypothesis was supported, suggesting that an increase in tax fairness perception will result in a decrease in sales tax evasion. The result was consistent with those of
Alkhatib et al. (
2019),
Ariyanto et al. (
2020),
Jemberie (
2020), and
Sikayu et al. (
2022), which showed a negative and significant relationship between tax fairness and tax evasion. It can be concluded that in the Jordanian context, tax fairness is regarded as an important determinant that impacts tax evasion. Specifically, if taxpayers believe the government or the appropriate tax authority has treated them fairly, they will willingly comply with the tax rules, resulting in an increase in tax collections. Next, this study found that peer influence was positively related to tax evasion. This result was congruent with that of
Abdixhiku et al. (
2018),
Bhutta et al. (
2019),
Bidin et al. (
2009) and
Bidin and Sinnasamy (
2018), which found a positive relationship between peer influence and tax evasion. This may be because peer influence is defined as one of the social influence factors that determine tax evasion behaviour. According to common thinking, taxpayers’ behaviours are affected by their peers’ opinions about whether they are willing to evade or pay tax imposed by the government or the tax authority, and whether they would wilfully violate tax rules, resulting in a reduction in tax collections. As a result, holding a negative opinion about the tax evasion behaviour of other society members may minimise tax compliance, and vice versa. Therefore, taxpayers are more willing to engage in tax evasion behaviour if their peers engage in tax evasive behaviour, in order to avoid financial penalties. The hypothesis of moral obligation was proven to be supported. This result was consistent with the theory of those who believe that moral obligation is an important determinant of tax evasion behaviour (
Alleyne and Harris 2017;
Braithwaite et al. 2010;
Culiberg 2018;
Owusu et al. 2019). It is important to note that moral obligation is contingent on one’s ethical beliefs, which are convictions about what is right and wrong (
Alm and Torgler 2011). The moral obligation for paying tax is based on ethics, which society considers to be wrong or right. Clearly, moral obligation as a positive internal value may have a greater influence on tax evasion behaviour.
7. Conclusions, Policy Implications, Limitations and Suggestions for Further Studies
Tax evasion among small and medium enterprises (SMEs) is a global challenge. Since SMEs constitute the largest segment of the business sphere, tax evasion by SMEs has garnered considerable attention. Hitherto, various psychological aspects related to tax evasion have been studied in the past, but no conclusive results have been established. Despite the design and implementation of numerous strategies, tax evasion continues to be a problem. Various aspects of evasion could be addressed to ensure optimal compliance. This study integrated social and psychological determinants of sales tax evasion to provide empirical evidence, and, moreover, to provide a novel viewpoint on the issue of tax evasion that may assist better understanding of this problem. It also offers additional insight into the relationship between SME owner-managers tax-paying determinants and tax evasion.
This study examined the effect of tax fairness, peer influence, and moral obligation on the behaviour of SME owner-managers towards tax evasion. As per the findings, tax fairness and moral obligation have a significant and negative impact on taxpayers’ sales tax evasion behaviour. On the other hand, peer influence has a significant positive effect on sales tax evasion. These results indicate that taxpayers’ perspectives on tax evasion are affected by their perceptions of fairness, peer influences, and moral obligation. This suggests that sales taxpayers may be surrounded by evading peers, with their compliance behaviour being positively related to high peer influence.
Moreover, the finding provides tax authorities with a better understanding of how to design and develop new strategies to combat tax evasion. In addition, the results highly recommended tax administrations, not only in Jordan but also in other Middle East countries, to develop policies based on the determinants of tax evasion behaviour. There is a significant budget deficit in Jordan. Large-scale tax evasion contributes to Jordan’s enormous budget deficit. The budget deficit will be covered and eradicated if the government is able to defeat, curtail, or alleviate tax evasion. As a result, the government will find support if the issue of tax evasion is resolved, and this support will allow the government and tax authorities close the deficit that endangers the state’s economy. By considering the context of other developing countries, particularly for Middle Eastern countries where there is little research on sales tax evasion, the current study provides empirical support for the crucial factors affecting tax evasion. These findings concerning the causes of tax evasion may also be extended to sales tax evasion activities in other developing nations that have similar business conditions, policy settings, and characteristics of their taxpayers.
This study, as with any other research, has its limitations. Although the current research makes important theoretical and practical contributions, there are still some important limitations that need to be acknowledged. Future research opportunities are created by these limitations. This study did not cover all conceivable factors that influence a taxpayer’s decision to pay sales tax. Self-reported surveys, as well as other compliance studies, might not fully reflect respondents’ real behaviour (
Van Dijke and Verboon 2010). This limitation is especially present when information is needed for sensitive tax-related embarrassments. Another limitation was that the present study’s response rate was just 42.4%, despite the numerous follow-ups conducted following the survey distribution. However, for Jordanian SME owners and managers, this was acceptable. Data collection was hampered by the respondents’ unwillingness to comply. The sensitive nature of tax-related issues, particularly tax evasion, and a lack of enthusiasm to fill out the questionnaire can be attributed to this.
Hence, future studies can extend the research framework to include more socio-phycological, economic, and behavioural factors, enabling the findings to be generalized. Additionally, longitudinal research might be conducted to determine if the results shift over time. Last, but not least, future studies should investigate the indirect impact of the determinant factors on tax evasion by exploring the mediating or moderating role of moral obligation, trust, and ethics.