Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability
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26 jun 2025
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Categoría del artículo: Research Article
Publicado en línea: 26 jun 2025
Páginas: 1 - 10
Recibido: 10 mar 2025
Aceptado: 16 jun 2025
DOI: https://doi.org/10.2478/mmcks-2025-0008
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© 2025 Ramona Săseanu, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1

Figure 2

Dickey–Fuller test results for stationarity analysis
Null hypothesis: TVR has a unit root | ||||
---|---|---|---|---|
Exogenous: constant, linear trend | ||||
Lag length: 3 (automatic based on SIC, MAXLAG = 10) | ||||
|
Prob.* | |||
ADF test statistic | −4.419714 | 0.0044 | ||
Test critical values: | 1% level | −4.130526 | ||
5% level | −3.492149 | |||
10% level | −3.174802 |
Correlogram of the TVR series_
Date: 08/04/24 Time: 07:58 | ||||||
---|---|---|---|---|---|---|
Sample: 2018:01 2022:12 | ||||||
Included observations: 60 | ||||||
Autocorrelation | Partial correlation | AC | PAC |
|
Prob | |
. |*****| | . |*****| | 1 | 0.689 | 0.689 | 29.942 | 0.000 |
. |***| | .*|. | | 2 | 0.432 | −0.081 | 41.930 | 0.000 |
. |**| | . |*. | | 3 | 0.316 | 0.095 | 48.430 | 0.000 |
. |*.| | **|. | | 4 | 0.098 | −0.270 | 49.065 | 0.000 |
. |. | | . |*. | | 5 | 0.005 | 0.098 | 49.067 | 0.000 |
.*|. | | .*|. | | 6 | −0.071 | −0.150 | 49.416 | 0.000 |
.*|. | | . |. | | 7 | −0.124 | 0.061 | 50.503 | 0.000 |
. |. | | . |*. | | 8 | −0.046 | 0.095 | 50.657 | 0.000 |
. |*. | | . |** | | 9 | 0.083 | 0.203 | 51.158 | 0.000 |
. |*. | | . |. | | 10 | 0.181 | 0.058 | 53.588 | 0.000 |
. |**| | . |. | | 11 | 0.245 | 0.049 | 58.134 | 0.000 |
. |**| | .*|. | | 12 | 0.233 | −0.079 | 62.343 | 0.000 |
. |*. | | .*|. | | 13 | 0.143 | −0.105 | 63.969 | 0.000 |
. |*. | | . |. | | 14 | 0.091 | 0.021 | 64.645 | 0.000 |
. |. | | . |. | | 15 | 0.046 | 0.026 | 64.819 | 0.000 |
.*|. | | .*|. | | 16 | −0.077 | −0.101 | 65.325 | 0.000 |
.*|. | | . |. | | 17 | −0.166 | −0.049 | 67.696 | 0.000 |
.*|. | | . |*. | | 18 | −0.132 | 0.109 | 69.250 | 0.000 |
.*|. | | .*|. | | 19 | −0.139 | −0.118 | 70.993 | 0.000 |
.*|. | | . |. | | 20 | −0.089 | 0.058 | 71.728 | 0.000 |
. |*. | | . |*. | | 21 | 0.069 | 0.142 | 72.184 | 0.000 |
. |*. | | . |*. | | 22 | 0.156 | 0.093 | 74.551 | 0.000 |
. |*. | | . |. | | 23 | 0.188 | −0.049 | 78.116 | 0.000 |
. |**| | . |*. | | 24 | 0.249 | 0.111 | 84.504 | 0.000 |
. |*. | | .*|. | | 25 | 0.187 | −0.133 | 88.235 | 0.000 |
. |*. | | . |. | | 26 | 0.083 | −0.046 | 88.993 | 0.000 |
. |. | | .*|. | | 27 | −0.018 | −0.121 | 89.028 | 0.000 |
.*|. | | . |. | | 28 | −0.143 | 0.036 | 91.392 | 0.000 |
Model ARMA (1,11) for TVR_
Dependent variable: TVR | ||||
---|---|---|---|---|
Method: least squares | ||||
Variable | Coefficient | Std. error |
|
Prob. |
|
0.976146 | 0.102396 | 9.533022 | 0.0000 |
AR(1) | 0.607754 | 0.103520 | 5.870912 | 0.0000 |
MA(11) | 0.910815 | 0.021739 | 41.89706 | 0.0000 |
|
0.718066 | Mean dependent var | 1.164407 | |
Adjusted |
0.707997 | SD dependent var | 0.294058 | |
S.E. of regression | 0.158901 | AIC | −0.791564 | |
Sum squared residual | 1.413970 | SC | −0.685926 | |
Log-likelihood | 26.35113 |
|
71.31404 | |
Durbin–Watson stat | 1.986850 | Prob( |
0.000000 | |
Inverted AR roots | 0.61 | |||
Inverted MA roots | 0.95 + 0.28i | 0.95 – 0.28i | 0.65 + 0.75i | 0.65 – 0.75i |
0.14 − 0.98i | 0.14 + 0.98i | −0.41 – 0.90i | −0.41 + 0.90i | |
−0.83 + 0.54i | −0.83 – 0.54i | −0.99 | ||
Breusch–Godfrey serial correlation LM test | ||||
|
0.340248 | Probability | 0.713108 | |
Obs* |
0.378654 | Probability | 0.827516 | |
ARCH test | ||||
|
1.001927 | Probability | 0.321150 | |
Obs* |
1.019470 | Probability | 0.312645 |