Live Covid-19
United States 100,906,111
Cases: 100,906,111
Deaths: 1,106,990
Recovered: 98,320,554
Active: 1,478,567
India 44,674,874
Cases: 44,674,874
Deaths: 530,633
Recovered: 44,138,805
Active: 5,436
France 38,078,565
Cases: 38,078,565
Deaths: 159,245
Recovered: 37,022,916
Active: 896,404
Germany 36,557,861
Cases: 36,557,861
Deaths: 158,198
Recovered: 35,913,000
Active: 486,663
Brazil 35,436,031
Cases: 35,436,031
Deaths: 690,298
Recovered: 34,262,104
Active: 483,629
South Korea 27,408,854
Cases: 27,408,854
Deaths: 30,793
Recovered: 26,431,550
Active: 946,511
Japan 25,268,073
Cases: 25,268,073
Deaths: 50,461
Recovered: 20,766,771
Active: 4,450,841
Italy 24,488,080
Cases: 24,488,080
Deaths: 181,733
Recovered: 23,799,178
Active: 507,169
United Kingdom 24,024,746
Cases: 24,024,746
Deaths: 197,253
Recovered: 23,758,420
Active: 69,073
Russia 21,623,268
Cases: 21,623,268
Deaths: 392,283
Recovered: 21,023,627
Active: 207,358
Turkey 17,005,537
Cases: 17,005,537
Deaths: 101,400
Recovered:
Active: 16,904,137
Spain 13,614,807
Cases: 13,614,807
Deaths: 116,108
Recovered: 13,403,322
Active: 95,377
Vietnam 11,518,149
Cases: 11,518,149
Deaths: 43,177
Recovered: 10,608,988
Active: 865,984
Australia 10,759,272
Cases: 10,759,272
Deaths: 16,264
Recovered: 10,546,102
Active: 196,906
Argentina 9,739,856
Cases: 9,739,856
Deaths: 130,034
Recovered: 9,591,684
Active: 18,138
Netherlands 8,544,770
Cases: 8,544,770
Deaths: 22,920
Recovered: 8,499,904
Active: 21,946
Taiwan 8,379,467
Cases: 8,379,467
Deaths: 14,500
Recovered: 8,054,926
Active: 310,041
Iran 7,559,924
Cases: 7,559,924
Deaths: 144,645
Recovered: 7,335,330
Active: 79,949
Mexico 7,132,792
Cases: 7,132,792
Deaths: 330,525
Recovered: 6,400,759
Active: 401,508
Indonesia 6,682,437
Cases: 6,682,437
Deaths: 160,026
Recovered: 6,474,271
Active: 48,140
Poland 6,354,511
Cases: 6,354,511
Deaths: 118,340
Recovered: 5,335,940
Active: 900,231
Colombia 6,318,021
Cases: 6,318,021
Deaths: 141,911
Recovered: 6,142,640
Active: 33,470
Austria 5,583,979
Cases: 5,583,979
Deaths: 21,230
Recovered: 5,515,749
Active: 47,000
Portugal 5,546,290
Cases: 5,546,290
Deaths: 25,517
Recovered: 5,501,942
Active: 18,831
Greece 5,404,690
Cases: 5,404,690
Deaths: 34,309
Recovered: 5,345,133
Active: 25,248
Ukraine 5,341,284
Cases: 5,341,284
Deaths: 110,586
Recovered: 5,217,903
Active: 12,795
Malaysia 5,001,908
Cases: 5,001,908
Deaths: 36,716
Recovered: 4,943,392
Active: 21,800
Chile 4,939,304
Cases: 4,939,304
Deaths: 62,587
Recovered: 4,867,554
Active: 9,163
North Korea 4,772,813
Cases: 4,772,813
Deaths: 74
Recovered: 4,772,739
Active: 0
Israel 4,729,614
Cases: 4,729,614
Deaths: 11,882
Recovered: 4,704,016
Active: 13,716

Book Tax Differences (BTDS) and Financial Distress of Listed Consumer Goods Firms in Nigeria

Book Tax Differences (BTDS) and Financial Distress of Listed Consumer Goods Firms in Nigeria

ABSTRACT

The decrease in the level of book tax conformity that increases the level of corporate tax avoidance and the incessant corporate failures due to masquerading of financial statement, necessitated the research work on Book Tax differences (BTDs). The focus of this study is to examine the relationship between the four components of book-tax differences (BTDs) and financial distress surrogated by Altman’s Z- scores of listed consumer goods firms in Nigeria. The study adopted the ex post facto research design. The population comprised of listed consumer goods firms on the Nigerian Stock Exchange. The sample was purposively determined as twenty one consumer goods firms. The study relied on secondary sources of data. The data were analysed using both descriptive and inferential statistical techniques. The hypotheses were analysed using the panel EGLS regression technique. The results showed a significant positive relationship between temporary BTD and total BTD with Altman’s Z-score. Based on this the study recommends among others things that external auditors should place additional emphasis on book tax information because of its ability to signal firms facing financial constraint.

Keywords: Book Tax Differences (BTDs), Financial Distress, Consumer Goods Firms

Authors: 1Onoja Miriam Ladi, 2Samson A. Adediran and 3Alex O. Ude

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