THE LINK BETWEEN HUMAN DEVELOPMENT AND TAX COMPLIANCE: EVIDENCE FROM A MEDIATION ANALYSIS
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1 THE LINK BETWEEN HUMAN DEVELOPMENT AND TAX COMPLIANCE: EVIDENCE FROM A MEDIATION ANALYSIS BǍTRÂNCEA LARISSA ASSISTANT PROFESSOR PHD, BABEŞ-BOLYAI UNIVERSITY, FACULTY OF BUSINESS, CLUJ-NAPOCA, ROMANIA, lm.batrancea@tbs.ubbcluj.ro Abstract By performing mediation analysis with the state-of-the-art bootstrapping technique (95% bias-corrected and accelerated confidence interval; 5000 bootstrap resamples) on a worldwide sample pool of countries and territories, it is shown that human development level influences citizens decisions to comply with tax laws via trust in authorities. The higher the human development level, the more people tend to trust public authorities. As a result of the increase in public trust, citizens act in accordance with tax laws by honestly reporting taxable income and paying dues in time. Keywords: mediation analysis, human development, trust in politicians, shadow economy, tax compliance. JEL Classification: G28, H Introduction The former UN Secretary-General Kofi Annan once stated that education is a human right with immense power to transform. On its foundation rest the cornerstones of freedom, democracy and sustainable human development. Indeed, education is essential for the development of every individual because it opens new paths of understanding. When taking into account tax behavior, proper education and an adequate level of human development can transform taxpayers decisions and make them comply more with tax laws. This paper investigates the extent to which trust in authorities intervenes in the relationship between the level of human development and tax compliance. Elicited on an initial sample pool of 182 countries and territories via mediation analysis, the results imply that authorities can reduce the amount of tax noncompliance in a country if they make efforts to invest in people s level of development. The straightforward mechanism is the following: significant investments in infrastructure, education system, health facilities and living standards increase citizens trust in the authorities, which ultimately determines them to declare taxable revenues and pay the fair share. The paper has the following structure. Section two reviews the literature investigating the topic of human development and its ties with tax compliance. Section three describes the methodological apparatus and the results of the mediation analysis. Section four points out concluding remarks. 2. Variables of interest and hypothesis The variables of interest are human development level, trust in authorities and tax compliance. The topic of human development has been actively listed worldwide on political agendas due to its impact on modern societies (United Nations Development Programme, 2013) [1]. A case in point, the United Nations is the most high profile international organization that conducts research on human development and issues annually a report on this topic. The main rationale behind such interest is that investing in people s capacities and providing them access to fundamental rights (i.e., health, education, economic options to generate income) can trigger multiple benefits for societies as a whole, among which a more cohesive environment and mutual cooperation between interacting parties via trust. The literature acknowledges that social trust and human development are related (Özcan & Bjørnskov, 2011) [2]. This paper will investigate (among other aspects) the extent to which human development and trust in authorities are related. Moreover, societies that are rated as having highly developed human resources often register lower levels of shadow economy than societies underfunding human capacities (Čiutienė et al., 2015) [3]. Tax behavior research assembles a manifold of studies reporting a strong connection between trust in authorities and tax compliance (Kirchler, 2014; Kirchler, Hoelzl & Wahl, 2008) [4]-[5]. That is, societies where people report increasing levels of trust in authorities register substantial budgetary revenues due to honest taxpaying. The question that emerges is the following: Could human development level be part of a mechanism that improves tax compliance levels? 41
2 Taking into account the abovementioned, the hypothesis to be tested is the following: H: The connection between Human development index and Shadow economy is mediated by Public trust in politicians. In this study, the level of human development is proxied by the Human Development Index, which was retrieved from the Human Development Report 2013 (United Nations Development Programme, 2013, pp ) [1]. The index is a composite one and captures national advancement in kea area of human development like life expectancy, quality of schooling and living standard. The corresponding scale ranges from 0 (i.e., low human development ) to 1 (i.e., very high human development ). Trust in authorities is proxied by Public trust in politicians, the 1.04 item from the Global Competitiveness Report (World Economic Forum, 2012) [6]. Ranging on a scale from 1 (i.e., very low ) to 7 (i.e., very high ), the item was constructed based on answers to the following question: How would you rate the level of public trust in the ethical standards of politicians in your country?. Tax compliance is proxied by the shadow economy estimates reported in Schneider (2012) [7]. Shadow economy was determined as a percentage of the official GDP. In other words, higher values of the variable indicate that a considerable part of the taxpayers chose to conduct lucrative activities within the informal economy. 3. Methodological Approach and Empirical Results The following section presents the methodological approach and the empirical results obtained on data from 182 countries and territories Methodological approach In the field of social sciences, the study of mediation phenomena has been gaining ground ever since the publication of the landmark paper by Baron and Kenny (1986) [8]. With the coming years, an increasing number of researchers showed interest in studying how one predicting variable influences a dependent variable via a third variable called mediator (James & Brett, 1984; MacKinnon, Warsi & Dwyer, 1995; MacKinnon et al., 2002; Frazier, Tix & Barron, 2004; Rucker et al., 2011; Brown, 1998) [9]-[10]-[11]-[12]-[13]-[14]. In essence, the mediator explains why and how a relationship between two variables develops. Figure 1 pictures the simple mediation model and the relevant paths. Mediator a-path b-path Predictor (c-path) c -path Outcome Figure 1. Graphical representation of a simple mediation phenomenon Note: a-path describes the relationship between the predictor and the mediator; b-path describes the relationship between the mediator and the outcome variable; c-path describes the relationship between the predictor and the outcome; c -path describes the relationship between the predictor and the outcome, when controlling for the mediator. There are numerous approaches to mediation, from the classical causal steps [8] to Monte Carlo simulation. During the last two decades, social scientists interested in mediation phenomena have been focusing in running the analyses via the bootstrapping technique (MacKinnon et al., 2002; Preacher & Hayes, 2008a, 2008b; Hayes, 2013) [11]-[15]-[16]-[17]. The main reason is that the resampling method discards the shortcomings of the causal steps approach because it estimates with high accuracy the indirect effect on both small and large samples. Moreover, it possesses a high statistical power in controlling for the Type I error (i.e., incorrect rejection of a true null hypothesis) and Type II error (i.e., failure to reject a false null hypothesis) Empirical results 42
3 The mediation analysis was conducted on an initial sample of 182 countries and territories following the approach from Bătrâncea and Nichita (2015) [18]. Human development index was the predicting variable, Public trust in politicians was the mediator and Shadow economy was the outcome variable. The software package employed was IBM SPSS Statistics version 20 along with the add-on PROCESS created by Hayes (2013) [17]. Firstly, correlation coefficients were determined. Secondly, multiple regression analyses were conducted to investigate the significance of the path coefficients c, a and b. Thirdly, the significance of the indirect effect (product ab) was examined through mediation analysis with the help of the bootstrapping technique (Preacher & Hayes, 2008b) [16] and the classical Sobel test (Baron & Kenny, 1986) [8]. Last but not least, the kappa-squared coefficient (Preacher & Kelly, 2009) [19] was used to establish the extent of the indirect effect. Table 1. Correlations between Human development index (HDevI), Public trust in politicians (PTrustPol) and Shadow economy (SE). HDevI PTrustPol HDevI PTrustPol.343** SE -.467** -.426** Note: ** Correlations are significant at the 1% level. The results of the correlation analyses displayed in Table 1 (i.e., the Pearson correlation coefficients denoted by r) showed that the variable Human development index was significantly related to the amount of trust citizens put in politicians, r =.343, p <.01. That is, Human development index explained 11.76% of the variance in Public trust in politicians. Likewise, the informal economy was significantly related to Human development index, r = -.467, p <.01, and Public trust in politicians, r = -.426, p <.01. The coefficients of determination (i.e., computed as the square root of the correlation coefficients or r 2 ) evinced that Human development index shared r 2 =21.8% of the variability in shadow economy and Public trust in politicians shared r 2 =18.15% of the variability. Subsequently, multiple regression analyses were run with the purpose of appraising the structure of the mediation model. To begin with, a negative relationship was identified between the predictor Human development index and the outcome Shadow economy (ß = , t (139) = -8.49, p <.001). Namely, a rise of the Human development level triggers a mitigation of the untaxed activities. Furthermore, the level of Human development was positively associated with the amount of trust citizens put in the political class (ß = 2.29, t (139) = 4.31, p <.001). That is to say, the higher the level of Human development, the higher the trust in politicians. Moreover, the mediator Trust in politicians was negatively related to the size of Shadow economy (ß = -2.98, t (139) = -3.46, p <.001). To wit, when politicians are trusted more, fewer taxpayers shift their activities towards the shadow economy. In as much as a-path and b-path reached significance, a mediation analysis was conducted employing the bootstrapping method with 95% bias-corrected confidence interval and 5000 bootstrap resamples [17]. According to the results, Human development index impacted on the level of Shadow economy through the mediator Public trust in politicians (ß = -6.81, BCa CI [ , -2.92]; medium effect size k 2 =.10, 95% CI [.04,.16]). Pursuant to the analyses, the association between Human development index and Shadow economy remained significant when controlling for Public trust in politicians (ß = , t (138) = -7.10, p <.001). That is, mediation occurred. Namely, when countries register high levels of human development, citizens trust in authorities increases and ultimately the size of the shadow economy decreases. Figure 2 plots the results of the analyses and highlights all relevant paths. Besides the bootstrapping techniques, significance of the indirect effect was investigated with the Sobel test (ß = -6.81, z = -2.65, p <.01). Public trust in politicians 2.29 *** *** Human development index ( *** ) *** Shadow economy Figure 2. Mediation analysis investigating the role of Public trust in politicians in the relationship between Human development index and Shadow economy Note: Values represent unstandardized regression coefficients. The value in parentheses is the coefficient of the regression without the intervening variable. Asterisks ( *** ) denote significance at the level of 0.1%. 43
4 4. Conclusions Tax behavior literature abounds with empirical studies investigating the nature of the factors influencing tax behavior. The approaches are diverse, ranging from surveys, laboratory, field and natural experiments (Kirchler, 2007) [4]. Among the methods used to elicit such factors, mediation analysis occupies an important role. First developed in the area of social psychology [8], mediation analysis is based on showing that a predicting variable influences an outcome variable via a third variable called mediator. Due to its potential of explaining the causal link between variables, it was embraced relatively easier by other researchers including those studying tax behavior. The current paper reports the results from a mediation analysis involving the following variables: human development level as predictor, trust in authorities as mediator and tax compliance as outcome. The analysis was performed on an initial sample pool of 182 countries and territories. The significance of the indirect effect was investigated via the bootstrapping technique with 95% bias-corrected and accelerated (BCa) confidence interval and 5000 bootstrap resamples. Following the recommendations in the literature (Hayes, 2013) [17], the resampling technique was selected in order to have an efficient control over the Type I and Type II errors. Besides bootstrapping, the indirect effect was also investigated via the classical Sobel test proposed by Baron and Kenny (1986) [8]. In accordance with the theoretical precepts of mediation analysis, the results show the existence of a mediation phenomenon regarding the connection human development level-tax compliance. Namely, the level of tax compliance is determined by the amount of trust taxpayers grant to public authorities, which depends on the efforts authorities make to increase human development levels. When countries register an increase in the level of human development, citizens trust in public authorities augments on the bases that authorities manifest interest for citizens needs. As a consequence, they are more likely to fully declare taxable revenues. Starting from these remarks and taking into consideration that the mediator in question (i.e., trust in authorities) does not impose additional costs on state budgets but has a frail nature, long-term budgetary resources could be amassed if authorities provide citizens essential choices: to lead a long and healthy life, to acquire knowledge and to have access to the resources needed for a decent standard of living [20]. 5. References [1] United Nations Development Programme, Human Development Report The Rise of the South: Human Progress in a Diverse World, United Nations Development Programme, New York, [2] Özcan, B., Bjørnskov, C., Social Trust and Human Development, Journal of Socio-Economics, Vol. 40, No. 6, 2011, pp [3] Čiutienė, R., Meilienė, E., Savanevičienė, A., Vaitkevičius, S., Interdependence between Human Capital and the Power of a Shadow Economy: Lithuanian Case Study, Technological and Economic Development of Economy, Vol. 21, No. 3, 2015, pp [4] Kirchler, E., The Economic Psychology of Tax Behaviour, Cambridge University Press, Cambridge, [5] Kirchler, E., Hoelzl, E., Wahl, I., Enforced versus Voluntary Tax Compliance: The Slippery Slope Framework, Journal of Economic Psychology, Vol. 29, 2008, pp [6] World Economic Forum, The Global Competitiveness Report , [7] Schneider, F., The Shadow Economy and Work in the Shadow: What Do We (Not) Know?, IZA Discussion Paper Series no. 6423, 2012 (available at referred on November 18, 2014). [8] Baron, R.M., Kenny, D.A., The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Consideration, Journal of Personality and Social Psychology, 1986, Vol. 51, No. 6, pp [9] James, L.R., Brett, J.M., Mediators, Moderators, and Tests for Mediation, Journal of Applied Psychology, Vol. 69, 1984, pp [10] MacKinnon, D.P., Warsi, G., Dwyer, J.H., A Simulation Study of Mediated Effect Measures, Multivariate Behavioral Research, Vol. 30, 1995, pp [11] MacKinnon, D.P., Lockwood, C.M., Hoffman, J.M., West, S.G., Sheets, V., A Comparison of Methods to Test Mediation and Other Intervening Variable Effects, Psychological Methods, Vol. 7, No. 1, 2002, pp [12] Frazier, P.A., Tix, A.P., Barron, K.E., Testing Moderator and Mediator Effects in Counseling Psychology Research, Journal of Counseling Psychology, Vol. 51, No. 1, 2004, pp [13] Rucker, D.D., Preacher, K.J., Tormala, Z.L., Petty, R.E., Mediation Analysis in Social Psychology: Current Practices and New Recommendations, Social and Personality Psychology Compass, Vol. 5, No. 6, 2011, pp [14] Brown, R.L., Assessing Specific Mediational Effects in Complex Theoretical Models, Structural Equation Modeling, Vol. 4, 1998, pp
5 [15] Preacher, K.J., Hayes, A.F., Asymptotic and Resampling Strategies for Assessing and Comparing Indirect Effects in Multiple Mediator Models, Behavior Research Methods, Vol. 40, No. 3, 2008a, pp [16] Preacher, K.J., Hayes, A.F., Contemporary Approaches to Assessing Mediation in Communication Research, in A.F. Hayes, M.D. Slater, L.B. Snyder (Eds.), The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research, Sage Publications, Thousand Oaks, 2008b, pp [17] Hayes, A.F., Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, The Guilford Press, New York, [18] Bătrâncea, L., Nichita, A., Which is the Best Government? Colligating Tax Compliance and Citizen s Insights regarding Authorities Actions, Transylvanian Review of Administrative Sciences, No. 44E, 2015, pp [19] Preacher, K.J., Kelley, K., Effect Size Measures for Mediation Models: Quantitative Strategies for Communicating Indirect Effects, Psychological Methods, Vol. 16, No. 2, 2011, pp [20] (referred on February 20, 2015). 45
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