Table 6

Factors that influence tax morale among agrochemical traders

VariablesOLS estimatesQuantile regression estimates
0.050.250.50.75
Socioeconomic variables
Age0.0130.005***0.0120.007***0.026
(0.009)(0.001)(0.011)(0.010)(0.009)
Gender
Female−0.021***−0.177−0.0590.045−0.063
(0.153)(0.033)(0.193)(0.180)(0.151)
Educational level
S H S0.021***0.604**0.5550.0890.024
(0.195)(0.043)(0.246)(0.230)(0.192)
Diploma*−0.4090.026−0.089−0.306*−0.384
(0.216)(0.047)(0.274)(0.255)(0.214)
First degree**−0.581***−0.564−0.417*−0.463−0.320
(0.262)(0.057)(0.331)(0.308)(0.259)
Master’s/PhD−0.622***-1.05−0.351−0.344−0.829
(0.719)(0.157)(0.908)(0.846)(0.711)
Religion
Christianity***2.248***2.77**2.177***2.121***2.065
(0.673)(0.147)(0.850)(0.792)(0.665)
Islam***1.932***1.819**2.051***2.125*** 2.004
(0.674)(0.147)(0.851)(0.793)(0.666)
Christian denomination
Orthodox0.012***0.2450.2270.211−0.331
(0.247)(0.054)(0.313)(0.291)(0.245)
Charismatic0.053**0.0950.0890.142−0.032
(0.211)(0.046)(0.266)(0.248)(0.208)
Marital status
Single0.013−0.046−0.337−0.087*0.263
(0.178)(0.039)(0.225)(0.210)(0.176)
Divorced*−0.635***−0.996**−1.084−0.6510.227
(0.387)(0.084)(0.490)(0.456)(0.383)
Legal status
Partnership**−1.499***−1.415*−1.423**−1.626**−1.608
(0.617)(0.135)(0.780)(0.726)(0.610)
Private company0.090***0.182−0.1690.0330.263
(0.184)(0.040)(0.233)(0.217)(0.182)
Work experience−0.118***-0.517−0.0700.127−0.059
(0.202)(0.044)(0.255)(0.238)(0.200)
Job performance variables business size
Medium−0.017**0.0670.055−0.0380.059
(0.142)(0.031)(0.188)(0.168)(0.141)
Large−0.194***0.498−0.158−0.254−0.112
(0.358)(0.078)(0.452)(0.421)(0.354)
Monthly sales−3.480***−4.042.5301.950−9.230
(0.120)(1.560)(8.990)(8.380)(7.040)
Award number0.157***0.2070.1500.1100.157
(0.111)(0.024)(0.141)(0.131)(0.110)
Perception of tax officers’ integrity
Respect−0.051***−0.136−0.026−0.002−0.066
(0.073)(0.016)(0.092)(0.085)(0.072)
Honesty*0.210−0.0250.0080.099**0.250
(0.116)(0.025)(0.146)(0.136)(0.114)
Trustworthy−0.129***0.135−0.069−0.047−0.105
(0.113)(0.025)(0.143)(0.133)(0.112)
Perception of job of tax officers
Expertise−0.081***−0.246−0.051−0.0600.024
(0.073)(0.016)(0.092)(0.085)(0.072)
Lockdown*0.0730.0100.0710.071**0.102
(0.043)(0.009)(0.054)(0.050)(0.042)
Sanction−0.005***0.0850.0360.018−0.007
(0.052)(0.011)(0.066)(0.061)(0.052)
Tax knowledge0.325*****0.536*0.3050.129−0.099
(0.155)(0.033)(0.196)(0.183)(0.153)
Cons−0.755***-1.750−1.033−0.762−0.970
(0.772)(0.169)(0.975)(0.910)(0.763)
Prob > F0.005    
R Square0.508    
Pseudo R2 =  0.5310.3310.4330.321
Brush Pagan/cook-     
Wiesberg test     
(Prob > χ2) 0.010   

Note(s): NB: Significance; 1% = ***, 5% = ** and 10% = *. NB: QR and OLS are short forms of quantile regression at different quantiles and ordinary least squares regression, respectively. Figures in parentheses are robust standard error. Lockdown means tax authorities use padlock to lock shops of tax evaders

Source(s): From authors’ computation based on 2021 field data.

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