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Lower trade credit payment delays as a result of exclusion from tax deductible expenses Cover

Lower trade credit payment delays as a result of exclusion from tax deductible expenses

Open Access
|Dec 2025

Figures & Tables

Figure 1

Descriptive statistics of the DPO for the whole sample.

Figure 2

Medians of DPO in 2010–2015 by treated and untreated groups.

Comparison of the average DPO in 2012 and 2013_

IndustryMean t-test p-valueN if DPO > 30
2012201320122013
Total sample79.8456.50−37.12250.000021,50521,478
Manufacturing69.8350.67−18.77570.00005,1805,484
Energy, water supply86.0148.37−8.76160.0000510553
Construction; mining94.9670.68−11.10650.00002,7142,526
Wholesale and retail trade76.8457.41−19.33720.00007,0927,068
Catering, culture & entertainment, other services84.8156.73−5.21960.0000403329
Transport; ICT, real estate, scientific & technical activities85.4856.17−20.56050.00005,3295,241
Public administration; education; healthcare; NGOs68.5741.45−5.80930.0000277277

Comparison of the average DPO in 2015 and 2016_

IndustryMean t-test p-valueN if DPO>30
2015201620152016
Total sample58.1873.09−22.55450.000015,22418,006
Manufacturing52.8063.78−10.67010.00003,9564,593
Energy, water supply50.7566.89−3.69670.0001363445
Construction; mining64.7189.97−10.74110.00001,8052,167
Wholesale and retail trade58.1470.15−12.28190.00005,3236,128
Catering, culture and entertainment, other services60.1378.44−2.74650.0031221302
Transport; ICT, real estate; scientific & technical activities62.2479.81−10.58750.00003,3894,130
Public administration; education; healthcare; NGOs47.40241.0−2.47180.0069167241

Entities shortening the DPO between 2013 and 2015_

Pooled OLS RE FE FE
Delta DPO Delta DPO Delta DPO Delta DPO
Coef. Coef. Coef. Coef.
(Std. Err.) (Std. Err.) (Std. Err.) (Std. Err.)
ROA−0.3381***−0.3360***−0.4296***−0.4522***
(0.0350) (0.0365) (0.0802) (0.0801)
SIZE0.0304***0.0320***0.1367***0.1472***
(0.0027) (0.0030) (0.0202) (0.0203)
LEV−0.2084***−0.2063*** −0.3048***
(0.0340) (0.0362) (0.0802)
_cons−0.8136***−0.8467***−2.4691***−2.6113***
(0.0426) (0.0474) (0.3152) (0.3160)
Number of observations3,619 3,619 3,619 3,619
Number of groups 2,117 2,117 2,117
Breuch–Pagan test74.33 43.57 47.03 43.57
0.000 0.000 0.000 0.000
Hausmann test 35.83 31.34 35.83
0.000 0.000 0.000
R 2 0.070 0.078 0.052 0.057

Public policy change in 2013–2015 impact on DPO – DID model_

Pooled OLS FE FE FE
DPO DPO DPO DPO
Coef. Coef. Coef. Coef.
(Std. Err.) (Std. Err.) (Std. Err.) (Std. Err.)
DID −8.2606 *** −7.6617 *** −7.4576 *** −5.2356 ***
(0.5497) (0.4739) (0.4699) (0.4649)
Years_2013_2015 0.7170*** 0.6359*** 0.4403*** 0.3739***
(0.1685) (0.1444) (0.1433) (0.1247)
Firm_DPO between 9069.6898***
and 150 days in 2012(0.3371)
SIZE 9.3777***9.1770***
(0.1861) (0.2156)
LEV 0.2104 4.4687***
(0.7007) (0.9443)
CAPINT 9.0475*** 44.7629***
(0.6238) (0.9222)
NWC_TA 51.4319***
(0.7095)
dummy_negative_NWC 1.6215***
(0.3839)
dummy_negative_NWC# 17.2079***
NWC_TA (1.7268)
ROA 6.9075***
(0.4584)
_cons19.4264***25.8588*** 115.2718*** 94.0512***
(0.1021) (0.0823) (2.8401) (3.4126)
Number of observations176,876 176,876 176,876 126,859
Number of groups 27,521 27,521 22,427
Breuch–Pagan test45963.40 31448.99 29796.13 28268.49
p-Value0.000 0.000 0.000 0.000
Hausmann test 24.44 1367.96 1282.74
p-Value 0.000 0.000 0.000
R 2 0.2621 0.0024 0.0194 0.0940

Definition of variables_

VariableDefinition
Dependent (explained) variable
DPOThe average DPO of a firm
DPO > 30 daysDPO longer than 30 days (subsample that contains only observations with DPO longer than 30 days)
ETR1Effective tax rate = (income tax – deferred tax)/gross profit
ETR2Effective tax rate = (income tax – deferred tax)/(gross profit + depreciation & amortisation)
ETR3Effective tax rate = income tax/gross profit
ETR4Effective tax rate = (income tax – deferred tax)/(gross profit + depreciation & amortisation), only for data retrieved from the Bisnode database
where: deferred tax = ((deferred tax liabilities in t – deferred tax liabilities in a t − 1) – (assets for deferred income tax in t – assets for deferred income tax in a t − 1))
Test variable
Years_2013_2015Dummy variable equals 1 in 2013, 2014 and 2015 year, and 0 otherwise
Control variables
SIZEFirm size measured as ln(total assets)
LEVLeverage = long-term debt/total assets
CAPINTThe capital intensity measured as tangible assets/total assets
NWC_TA(current assets – current liabilities)/total assets
dummy_negative_NWCDummy variable equals 1 when NWC_TA is negative, and 0 otherwise
ROAReturn on assets ROA = gross profit/ total assets
For DID analysis
firm_DPO less than 30 days in 2012Control dummy variable equals one if a DPO in 2012 was lower than 30 days and 0 otherwise
firm_DPO between 90 and 150 days in 2012Dummy variable equals one if a DPO in 2012 was higher than 90 days and lower than 150 days, and 0 otherwise

Public policy change in 2013–2015 impact on ETR – DiD model_

RE RE RE FE
ETR1 ETR2 ETR3 ETR4
Coef. Coef. Coef. Coef.
(Std. Err.) (Std. Err.)(Std. Err.)(Std. Err.)
DID 0.0102 *** 0.0083 *** 0.0098 *** 0.0111 ***
(0.0019) (0.0013) (0.0018) (0.0057)
Years_2013_20150.0062***0.0034***0.0075***0.0115***
(0.0006) (0.0004) (0.0006) (0.0015)
Firm_DPO between 900.0174***0.0140***0.0176***
and 150 days in 2012(0.0025) (0.0019) (0.0024)
_cons0.1521***0.1115***0.1570***0.1386***
(0.0008) (0.0002) (0.0003) (0.0005)
Number of observations176,876 176,876 176,876 28,091
Number of groups27,521 27,521 27,521 8,380
Breuch–Pagan test110,000 150,000 120,000 3,393.36
0.000 0.000 0.000 0.000
Hausmann test1.96 7.04 0.88 24.76
0.3748 0.0296 0.6453 0.0000
R 2 0.0033 0.0036 0.0033 0.0030
DOI: https://doi.org/10.2478/ijme-2025-0020 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
Language: English
Page range: 42 - 55
Submitted on: Mar 11, 2024
|
Accepted on: May 5, 2025
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Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Arkadiusz Bernal, Anna Białek-Jaworska, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.