What are firm-specific characteristics impact firms’ performance under COVID-19: case of Cyprus?
Regression Coefficients
The firm specific characteristic that impact firms’ performance under covid-19 positively: Sector,
Quality certificate, Website, Auditor, Profitability, Environment. The rest of the characteristics have a
negative impact.
Coefficientsa
Unstandardized Coefficients
B
Std. Error
Model
1
(Constant)
.046
.331
.741
.014
-.051
-.511
.611
-2.672
2.092
-.127
-1.277
.204
-.030
.930
-.003
-.032
.974
-1.992
1.636
-.132
-1.218
.226
-.006
.045
-.013
-.126
.900
GenderManager
-1.303
2.805
-.046
-.465
.643
Qualitycertificate
2.122
1.662
.137
1.276
.205
.643
1.704
.037
.377
.707
1.105
1.630
.067
.678
.499
Profitability
.030
.030
.133
.991
.324
Environment
.827
2.234
.039
.370
.712
EnergyConsumptions
.540
1.607
.036
.336
.737
-.325
1.505
-.021
-.216
.829
Multiindustry
Legalstatus
BoardofDirectors
YearofEstablishment
OwnWebsite
Auditor
ReceivedSupport
.702
2.122
-.007
Sig.
.889
Employees
89.028
t
.139
Sector
12.410
Standardized
Coefficients
Beta
a. Dependent Variable: Sales
P-Value
The significance (P-value) is greater than 5% (0.05). Therefore, we can conclude that they are not
statistically significant and thus fail to reject the null hypothesis. We can decline the alt hypothesis
because there is no strong evidence that the variables have a relationship with sales.
R-Square and Adj R-Square
R-Square is only 6.3% which means that the independent variables does not explain the dependent
variable (Sales). Adjusted R-Square is 6% so even with an adjustment for the number of independent
variables the number is low.
Conclusion
We can conclude with the combination of p-value, R-Squared and Adj R-Squared that the null
hypothesis can be rejected. Although, the result could be change if there is an increase in the sample
size or a change in the number of independent variables.