Evaluating Public Administration Approaches towards Tax Non-Compliance in Europe
Abstract
:1. Introduction
2. Explaining and Tackling Tax Non-Compliance: Literature Review and Hypotheses Development
2.1. Enforced Compliance: Rational Economic Actor Theory
2.2. Voluntary Compliance: Social Actor Theory
2.3. Syntheses of the Theories
3. Methodology
3.1. Data
3.2. Variables
- Gender: A dummy variable with value 0 for females and 1 for males;
- Age: A continuous variable indicating the exact age of a respondent;
- Employment status: a categorical variable grouping respondent by their employment status with value 1 for self-employed, value 2 for employed, and value 3 for not working;
- People 15+ years in own household: a categorical variable for people 15+ years in respondent`s household (including the respondent) with value 1 for one person, value 2 for two persons, value 3 for three persons or more;
- Children: a dummy variable for the presence of children up to 14 years old in the household with value 0 for individuals with no children and value 1 for those having children;
- Difficulties paying bills: a categorical variable for the respondent difficulties in paying bills with value 1 for having difficulties most of the time, value 2 for occasionally, and value 3 for almost never/never;
- Area: a categorical variable for the area where the respondent lives with value 1 for rural area or village, value 2 for small or middle-sized town, and value 3 for large town.
3.3. Analytical Methods
4. Results
5. Discussion and Conclusions
Funding
Conflicts of Interest
References
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Finding | Studies |
---|---|
Reduces participation | (Blackwell 2010; Dubin and Wilde 1988; Feld and Frey 2002; Friedland 1982; Friedland et al. 1978; Klepper and Nagin 1989; Kluge and Libman 2017; Mas’ud et al. 2015; Mazzolini et al. 2017; Schwartz and Orleans 1967; Slemrod et al. 2001; Webley and Halstead 1986; Witte and Woodbury 1985). |
Risk of detection reduces participation more than penalties | (Alm 1999; Friedland 1982; Webley and Halstead 1986; Williams and Horodnic 2017a, 2017b). |
No effect | (Hartl et al. 2015; Shaw et al. 2008; Williams and Franic 2015, 2016). |
Increases participation | (Chang and Lai 2004; Hofmann et al. 2017; Kaplanoglou et al. 2016; Mohdali et al. 2014; Murphy 2005, 2008; Murphy and Harris 2007). |
Participating in Tax Non-Compliance | Not Participating in Tax Non-Compliance | |||||
---|---|---|---|---|---|---|
2007 | 2013 | 2019 | 2007 | 2013 | 2019 | |
% of surveyed population | 6.2 | 4.5 | 3.7 | 93.8 | 95.5 | 96.3 |
Expected penalty (%) | ||||||
Tax or social security contributions due | 30 | 37 | 34 | 23 | 28 | 27 |
Tax or social security contributions + fine or prison | 70 | 63 | 66 | 77 | 72 | 73 |
Detection risk (%) | ||||||
Very small/Fairly small | 81 | 73 | 70 | 64 | 60 | 55 |
Fairly high/Very high | 19 | 27 | 30 | 36 | 40 | 45 |
Tax morale—vertical trust (mean) | 3.75 | 3.7 | 3.87 | 2.35 | 2.26 | 2.39 |
Know anyone who works undeclared—horizontal trust (%) | ||||||
Yes | 89 | 84 | 82 | 44 | 34 | 37 |
No | 11 | 16 | 18 | 56 | 66 | 63 |
Gender (%) | ||||||
Female | 37 | 37 | 40 | 57 | 54 | 54 |
Male | 63 | 63 | 60 | 43 | 46 | 46 |
Age (mean) | 38 | 39 | 41 | 48 | 49 | 51 |
Employment status (%) | ||||||
Self-Employed | 12 | 12 | 12 | 6 | 7 | 7 |
Employed | 48 | 42 | 45 | 44 | 43 | 45 |
Not working | 40 | 46 | 43 | 50 | 50 | 48 |
People 15+ years in household | ||||||
One | 22 | 26 | 26 | 22 | 23 | 24 |
Two | 44 | 42 | 45 | 47 | 49 | 51 |
Three and More | 34 | 32 | 29 | 31 | 28 | 25 |
Children (%) | ||||||
No children | 93 | 95 | 72 | 95 | 95 | 76 |
Having children | 7 | 5 | 28 | 5 | 5 | 24 |
Area (%) | ||||||
Rural area or village | 38 | 35 | 32 | 36 | 34 | 33 |
Small or middle-sized town | 35 | 37 | 40 | 37 | 38 | 38 |
Large town | 27 | 28 | 28 | 27 | 28 | 29 |
Difficulties paying bills (%) | ||||||
Most of the time | - | 22 | 17 | - | 12 | 6 |
From time to time | - | 32 | 28 | - | 28 | 24 |
Almost never/never | - | 46 | 55 | - | 60 | 70 |
2007 | 2013 | 2019 | |
---|---|---|---|
β (Robust se) | β (Robust se) | β (Robust se) | |
Expected penalty (Tax or social security contributions due) | |||
+ fine or prison | −0.0846 (0.106) | −0.241 ** (0.101) | −0.0490 (0.0985) |
Detection risk (very small/fairly small) | |||
Fairly high/very high | −0.0272 (0.100) | 0.0181 (0.0985) | 0.00333 (0.0875) |
Tax morale | 0.170 *** (0.0161) | 0.169 *** (0.0174) | 0.124 *** (0.0150) |
Horizontal Trust | 0.958 *** (0.0876) | 0.953 *** (0.0799) | 0.878 *** (0.0828) |
Gender (Female) | |||
Male | 0.324 *** (0.0331) | 0.267 *** (0.0381) | 0.218 ***(0.0368) |
Age (Exact age) | −0.0145 *** (0.00102) | −0.0150 *** (0.00121) | −0.0157 *** (0.00116) |
Employment status (Self-employed) | |||
Employed | −0.267 *** (0.0564) | −0.233 ***(0.0641) | −0.285 *** (0.0617) |
Not working | −0.155 *** (0.0575) | −0.106 (0.0644) | −0.169 ***(0.0625) |
People 15+ years in household (One) | |||
Two | −0.155 ***(0.0433) | −0.240 ***(0.0470) | −0.0984 **(0.0470) |
Three and more | −0.190 ***(0.0468) | −0.254 ***(0.0517) | −0.153 ***(0.0523) |
Children (No children) | |||
Having children | 0.0556 (0.0629) | −0.0794 (0.0834) | −0.118 ***(0.0447) |
Area (Rural area or village) | |||
Small or mid-sized town | −0.0428 (0.0382) | −0.0363 (0.0438) | 0.0129 (0.0433) |
Large town | −0.0301 (0.0419) | −0.0638 (0.0479) | −0.0947 ** (0.0468) |
Difficulties paying bills (Most of the time) | |||
From time to time | −0.174 *** (0.0543) | −0.329 ***(0.0608) | |
Almost never/never | −0.237 *** (0.0515) | −0.398 *** (0.0553) | |
Interactions | |||
Penalty x Tax morale | 0.0136 (0.0183) | 0.0402 ** (0.0199) | 0.0217 (0.0163) |
Detection x Tax morale | −0.0580 *** (0.0194) | −0.0283 (0.0203) | −0.0351 ** (0.0155) |
Penalty x Horizontal Trust | −0.0566 (0.0930) | 0.0199 (0.0886) | −0.0653 (0.0891) |
Detection x Horizontal Trust | −0.0337 (0.0878) | −0.127 (0.0878) | −0.165 ** (0.0831) |
Constant | −1.747 *** (0.131) | −1.551 *** (0.136) | −1.275 *** (0.138) |
N | 19245 | 18992 | 21222 |
Pseudo R2 | 0.2076 | 0.2296 | 0.1862 |
Log pseudolikelihood | −3559.126 | −2674.144 | −2727.943 |
χ2 | 1287.32 | 1101.89 | 984.97 |
p> | 0.0000 | 0.0000 | 0.0000 |
Hypothesis | 2007 | 2013 | 2019 |
---|---|---|---|
Enforced compliance (H1): | |||
H1a: higher penalties reduce the likelihood of tax non-compliance | Reject | Accept | Reject |
H1b: higher risks of detection reduce the likelihood of tax non-compliance | Reject | Reject | Reject |
Voluntary compliance (H2): | |||
H2a: higher vertical trust reduces the likelihood of tax non-compliance. | Accept | Accept | Accept |
H2b: higher horizontal trust reduces the likelihood tax non-compliance | Accept | Accept | Accept |
Moderating effects of vertical trust (H3): | |||
H3a: effect of higher penalties on the likelihood of tax non-compliance is moderated by vertical trust | Reject | Reject | Reject |
H3b: effect of higher risks of detection on the likelihood of tax non-compliance is moderated by vertical trust | Reject | Reject | Accept |
Moderating effects of horizontal trust (H4): | |||
H4a: effect of higher penalties on the likelihood of tax non-compliance is moderated by horizontal trust | Reject | Reject | Reject |
H4b: effect of higher risks of detection on the likelihood of tax non-compliance is moderated by horizontal trust | Reject | Reject | Reject |
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Williams, C. Evaluating Public Administration Approaches towards Tax Non-Compliance in Europe. Adm. Sci. 2020, 10, 43. https://doi.org/10.3390/admsci10030043
Williams C. Evaluating Public Administration Approaches towards Tax Non-Compliance in Europe. Administrative Sciences. 2020; 10(3):43. https://doi.org/10.3390/admsci10030043
Chicago/Turabian StyleWilliams, Colin. 2020. "Evaluating Public Administration Approaches towards Tax Non-Compliance in Europe" Administrative Sciences 10, no. 3: 43. https://doi.org/10.3390/admsci10030043
APA StyleWilliams, C. (2020). Evaluating Public Administration Approaches towards Tax Non-Compliance in Europe. Administrative Sciences, 10(3), 43. https://doi.org/10.3390/admsci10030043