Response Rate
This part deals with analysis and discussion of data collected from 300 respondents out of 400 sample respondents from different regions in Ethiopia. The response rate was 75% which implies almost all respondents have been take part in the process of data collection. Then, the analysis of the data was based on the questionnaires collected using SPSS version 20.0. The first section of the analysis concerns about personal information of respondents, followed by reliability and validity test of the questionnaire, descriptive statistics person correlation matrix, linear regression model assumptions, regression analysis, hypotheses testing and summary of chapter four. This has done as follow:
Reliability Validity Test:
In current research, the researcher employed Cronbach’s Alpha (α) which is the most common measure of scale reliability and a value greater than 0.7 is very acceptable. This has tested as follow:
Table 2: Reliability Test of the Variables
Cronbach's Alpha
|
N of Items
|
0.947
|
44
|
Source: Survey data, 2020
This indicates that all the variables under consideration accounts above the scientifically accepted threshold, therefore the study are reliable under this circumstance. Compared with the minimum value of alpha 0.70 advocated by Cronbach’s (1951), then the responses generated for all of the variables ‘used in this research were reliable enough for data analysis. This implies that the data incorporated in SPSS is reliable. The validity of the questionnaire was determined through face validity. First, the questions were framed in such a manner that it can be easily understood and exactly conveyed its sense and purpose to the respondents. Moreover, the draft questionnaires were given to academic staff to view it in the light of the research objectives, its relevance, the adequacy of the questionnaire items, and question coverage. Then pilot test of 10 questions was given to respondents that do not included in the final data analysis.
Summary of Descriptive Statistics
Descriptive statistics are very important because if we simply presented our raw data it would be hard to visualize what the data was showing, especially if there was a lot of it. Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data. In this study, descriptive statistics were analyzed as follow:
Table 3: Summary of Descriptive Statistics
Variables
|
N
|
Minimum
|
Maximum
|
Mean
|
Std. Deviation
|
Sustainability of MSMEs
|
300
|
1.00
|
5.00
|
2.6700
|
1.20246
|
Tax holiday
|
300
|
1.00
|
5.00
|
2.6000
|
1.11541
|
Tax Allowance
|
300
|
1.00
|
5.00
|
3.1000
|
1.32509
|
Reduction in Tax Rate
|
300
|
1.00
|
5.00
|
3.2804
|
.96692
|
Accelerated Depreciation
|
300
|
1.00
|
5.00
|
2.9980
|
.75470
|
Loss Carry Forward
|
300
|
1.00
|
5.00
|
2.8300
|
1.24348
|
Tax exemption
|
300
|
1.00
|
5.00
|
2.8700
|
.96759
|
Sources: Survey data, 2020
Sustainability of MSMEs was the dependent variable of this study. The Performance of MSMEs is dependent variable has overall mean of the variable was 2.6700 with standard deviation of 1.20246 a maximum of 5 and a minimum of 1 Likert scale values. The standard deviation value of 1.20246 was indicates that there was variation of actual responses from the mean. With regard to other variables the tax holiday 2.6000 with (SD) 1.11541, tax Allowance of mean 3.1000, (SD) of 1.32509, Reduction in Tax Rate 3.2804 with SD of 0.96692, Accelerated Depreciation 2.9980 with SD 0.75470, Loss Carry Forward .8300 with SD of 1.24348 and tax exemption with 2.870 with SD .96759 have the overall mean and standard deviation respectively. In short, all variables incorporated in the model have moderate contribution to the response variable sustainability of MSMEs.
Pearson Correlation Matrix
Correlation analysis measures the relationship between two items. The correlation matrix for this study was computed as follow:
Table 4: Pearson Correlation Matrix of the Variables
Variables
|
Sustainability of MSMEs
|
Tax holiday
|
Tax Allowance
|
Reduction in Tax Rate
|
Accelerated Depreciation
|
Loss Carry Forward
|
Tax exemption
|
Sustainability of MSMEs
|
Pearson Corr.
|
1
|
.350**
|
.153**
|
.257**
|
.067
|
.352**
|
.368**
|
Sig. (2-tailed)
|
|
.000
|
.008
|
.000
|
.249
|
.000
|
.000
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
Tax holiday
|
Pearson Corr.
|
.350**
|
1
|
.285**
|
.132*
|
.064
|
-.129*
|
-.262**
|
Sig. (2-tailed)
|
.000
|
|
.000
|
.022
|
.266
|
.026
|
.000
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
Tax Allowance
|
Pearson Corr.
|
.153**
|
.285**
|
1
|
.060
|
-.181**
|
-.452**
|
-.021
|
Sig. (2-tailed)
|
.008
|
.000
|
|
.300
|
.002
|
.000
|
.716
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
Reduction in Tax Rate
|
Pearson Corr.
|
.257**
|
.132*
|
.060
|
1
|
.264**
|
.045
|
.017
|
Sig. (2-tailed)
|
.000
|
.022
|
.300
|
|
.000
|
.440
|
.768
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
Accelerated Dep
|
Pearson Corr.
|
.067
|
.064
|
-.181**
|
.264**
|
1
|
.005
|
-.184**
|
Sig. (2-tailed)
|
.249
|
.266
|
.002
|
.000
|
|
.933
|
.001
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
Loss Carry Forward
|
Pearson Corr.
|
.352**
|
-.129*
|
-.452**
|
.045
|
.005
|
1
|
.399**
|
Sig. (2-tailed)
|
.000
|
.026
|
.000
|
.440
|
.933
|
|
.000
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
Tax exemption
|
Pearson
|
.368**
|
-.262**
|
-.021
|
.017
|
-.184**
|
.399**
|
1
|
Sig. (2-tailed)
|
.000
|
.000
|
.716
|
.768
|
.001
|
.000
|
|
N
|
300
|
300
|
300
|
300
|
300
|
300
|
300
|
** is significant at 1% level of significance, * is significant at 5% level of significance
|
|
Source: Survey data, 2020
With regards to the relationship between dependent variable sustainability of MSMEs and independent variables with coefficient of correlation 1 indicates that each variable is perfectly correlated with each other. The result shows that tax holiday, tax allowance, reduction in tax rate, accelerated depreciation, loss carries forward and tax exemption were positive and significantly correlated with sustainability at 1% level of significance.
Assessment of Ordinary Least Square Assumptions
Ordinary Least Squares (OLS) is the most common estimation method for linear models and that’s true for a good reason. As long as your model satisfies the OLS assumptions for linear regression, we can rest easy knowing that we’re getting the best possible estimates. The most common assumptions to be tested before running final regression result are normality, multicollinearity, autocorrelation, and heteroscedasticity have been checked and confirmed.
The Regression Results (Inferential Statistics)
Table 5: Regression Results
R=.687, R2=.472, Ad R2.461,Std. Error of the Estimate = 0.88299, Durbin-Watson (d) = 1.932, F-statistic = 43.583, P-value = 0.000, ANOVA with (p-value of 0.000
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
T
|
Sig.
|
95.0% Confidence Interval for B
|
Collinearity Statistics
|
B
|
Std. Error
|
Beta
|
Lower Bound
|
Upper Bound
|
Tolerance
|
VIF
|
1
|
(Constant)
|
-2.378
|
.378
|
|
-6.285
|
.000
|
-3.123
|
-1.633
|
|
|
Tax holiday
|
.433
|
.050
|
.401
|
8.578
|
.000***
|
.333
|
.532
|
.824
|
1.214
|
Tax Allowance
|
.199
|
.047
|
.217
|
4.139
|
.000***
|
.103
|
.290
|
.658
|
1.519
|
Reduction in Tax Rate
|
.178
|
.056
|
.141
|
3.136
|
.002***
|
.065
|
.285
|
.897
|
1.115
|
Accelerated Dep
|
.170
|
.073
|
.107
|
2.314
|
.021
|
.025
|
.314
|
.852
|
1.174
|
Loss Carry Forward
|
.341
|
.052
|
.353
|
6.594
|
.000***
|
.240
|
.443
|
.629
|
1.590
|
|
Tax exemption
|
.441
|
.062
|
.355
|
7.088
|
.000
|
.318
|
.563
|
.720
|
1.388
|
a. Dependent Variable: Sustainability of MSMEs
|
Source: Survey data, 2020
Fitted Model
Sustainability of MSMEs = -2.378+0.433* Tax holiday + 0.199* tax allowance +0.179* reduction in tax rate + 0.170* accelerated Dep + 0.431* loss carry forward + 0.441 tax exemption +e... (1)
The OLS result was presented in the above table 4.6. R-squared was measured the goodness of fit of the explanatory variables in explaining the variations in employees motivation. The Adjusted-R- squared statistics of the model was 46.1 percent. The result indicates that 45.6 percent variation in the dependent variable was jointly explained by the explanatory variables in the model. Whereas, the remaining 53.9 percent of the variation in the growth of Micro, small and medium sized enterprises (as measured by Likert scale) explained by other variables which are not included in the model. The coefficient of explanatory variables such as tax holiday 0.433, tax allowance 0.199, reduction in tax rate 0.178, accelerated deprecation 0.170, loss carryforward 0.341, tax exemption 0.441 implies that 1% increase in the variables leads to 43.3% ,19.9%, 17.8%, 17 %, 34.1% and 44.1% increase in sustainability of MSMEs during outbreak of corona virus in Ethiopia. Besides, the, F-statistics (43.583) in model summary and ANOVA with (p-value of 0.000) which is used to test the overall significance of the model was presented and indicates the reliability and validity of the model at 1 percent level of significance. This tells us that the model as a whole is statistically significant.
Tax Holiday: A tax holiday is a government incentive program that offers a tax reduction or elimination to businesses tax that help stimulate business sustainability. The result of this study shows that tax holiday with coefficient of regression [b=0.433] has positive and statistically significant effect on the growth of MSMEs at 1% level of significance since (p-value of 0.000> 0.01). Hence, hypothesis H1 is accepted. This finding is consistent the finding of other studies results Samuel (2015) and Twesige and Gasheja (2019); A.Akanbi. (2020); Atawodi O.W. & Ojeka1.S.(2012) who increase in business tax holiday has a positive and significant impacts on sustainability of micro, small and medium sized enterprises operating in Ethiopia. Also, the idea was supported by ideas of New Growth theory and Laffer curve theory. This implies that existence of tax holiday enhances the sustainability of micro, small and medium sized enterprises operating in Ethiopia.
Tax Allowance: Tax allowance refers to an exemption income tax an micro, small and medium sized enterprises pay to government for example in Ethiopia for enterprises registered as solepropiritership and partnership form of business annual business income up to 7,200 ETB is exempted from business income tax. In this study, the coefficient of regression tax allowance, [b=0.199] is positive and statistically significant at 1% level of significance with (p-value of 0.000>1 %). Therefore, hypothesis H2 stated is accepted. This finding is consistent with that of with general logic that existence tax freedom enables to accumulate capital since there is no annual payments to the government. It is also consistent with empirical findings of Twesige and Gasheja (2019), Atawodi O.W. & Ojeka1.S.(2012); Schellhase J. (2017); IMF (2009); Siyanbola et al (2017); A.Akanbi. (2020), Oniha. K. (2018); Atawodi & Ojeka (2012), Mungaya (2012), Atawodi O.W. & Ojeka1.S.(2012); Damtew. M. (2014); Kassahun .S. (2016), N. Francis. (2016); and Laffer curve theory & New Growth theories evidenced that tax allowance has positive and significant effect on sustainability of micro, small and medium sized enterprises.
Reduction in Tax Rate: lowering taxes raises disposable income, allowing the consumer to spend additional sums, thereby increasing GNP. Reducing taxes thus pushes out the aggregate demand curve as consumers demand for more goods and services provided by micro, small and medium sized enterprises with their higher disposable incomes. In this study reduction in tax rate boosts growth of SMEs. The result of coefficient of [b=0.178] which is positive and statistically significant at 1% level of significance because the sig of 0.002 is less than 1%. Hence, the H3 is accepted. This finding is consistent with empirical findings of Atawodi O.W. & Ojeka1.S.(2012); Damtew. M. (2014); Kassahun .S. (2016), N. N. Francis. (2016); Eliyas. M. (2016), Kassahun. S. (2015); Twesige and Gasheja. (2019) and the idea of Laffer curve theory & New Growth theory. This tells us tax reduction has higher contribution tax sustainability of MSMEs.
Accelerated depreciation: For tax purposes, accelerated depreciation provides a way of deferring corporate income taxes by reducing taxable income in current years, in exchange for increased taxable income in future years. This is a valuable tax incentive that encourages businesses to purchase new assets. In this study, accelerated depreciation variable has coefficient of regression is [b=0.170] is positive and statistically significant with (p-value of 0.021) which is significant at 5%level of significances. Therefore, hypothesis H4 is accepted. This finding is consistent with regression results of studies by Twesige and Gasheja (2019); Schellhase J, 2017; Atawodi O.W. & Ojeka1.S.(2012); A.Akanbi. (2020); Oniha. K. (2018; and ideas of Laffer curve theory & New Growth theory that suggest that considering the higher amount of accelerated depreciation amount from income tax has positive effect on sustainability of MSMEs in Ethiopia.
Loss Carry Forward: A loss carryforward refers to an accounting technique that applies the current year's net operating loss (NOL) to future years' net income to reduce tax liability. ... This results in lower taxable income in positive NOI years, reducing the amount the company owes the government in taxes. Accordingly, the result of this study shows that increase in loss carry forward with coefficient of regression [b=0.341] has positive and statistically significant at 5% level of significance since (p-value of 0. 0.00<1% level of significances). Hence, hypothesis H5 is accepted. The result is similar with findings of Twesige and Gasheja, 2019; J. Schellhase, (2017); A.Akanbi. (2020). Atawodi O.W. & Ojeka1.S.(2012); Oniha. K. (2018; Damtew. M. (2014); Wangeci and Kaplelach (2018) and ideas of New Growth, Neoclassical and Laffer curve theories and Laffer curve theory which concluded that loss carry forward has positive and significant effect on sustainability of MSMEs.
Tax exemption: A tax exemption is the right to exclude all or some income from taxation by federal or states governments. Most taxpayers are entitled to various exemptions to reduce their taxable income, and certain individuals and organizations are completely exempt from paying taxes. In this study, the unstandardized coefficient of regression of variable is [b=0.441] is positive and significant effect on sustainability of MSMEs with p-value (0.000 >1%, and 5% level of significance. Therefore, hypothesis H6 is accepted by the researcher. This finding is consistent with the empirical result of Gasheja (2019). Schellhase J. (2017); Atawodi O.W. & Ojeka1.S.(2012); Eliyas. M.(2016); Oniha K. (2018; Kassahun S.;Damtew. M. (2014) and ideas of New Growth, Neoclassical and Laffer curve theories and Laffer curve theory. This implies that tax exemption for MSMEs has positive contribution to sustainability of MSMEs.