Have a personal or library account? Click to login
Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability Cover

Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability

Open Access
|Jun 2025

Figures & Tables

Figure 1

Monthly rating of TeleJurnal (2018–2022) and Forecast for 2023–2025.
Monthly rating of TeleJurnal (2018–2022) and Forecast for 2023–2025.

Figure 2

TVR forecast based on ARMA model.
TVR forecast based on ARMA model.

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)
t-statisticProb.*
ADF test statistic−4.4197140.0044
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
AutocorrelationPartial correlation ACPAC Q-StatProb
. |*****|. |*****|10.6890.68929.9420.000
. |***|.*|. |20.432−0.08141.9300.000
. |**|. |*. |30.3160.09548.4300.000
. |*.|**|. |40.098−0.27049.0650.000
. |. |. |*. |50.0050.09849.0670.000
.*|. |.*|. |6−0.071−0.15049.4160.000
.*|. |. |. |7−0.1240.06150.5030.000
. |. |. |*. |8−0.0460.09550.6570.000
. |*. |. |** |90.0830.20351.1580.000
. |*. |. |. |100.1810.05853.5880.000
. |**|. |. |110.2450.04958.1340.000
. |**|.*|. |120.233−0.07962.3430.000
. |*. |.*|. |130.143−0.10563.9690.000
. |*. |. |. |140.0910.02164.6450.000
. |. |. |. |150.0460.02664.8190.000
.*|. |.*|. |16−0.077−0.10165.3250.000
.*|. |. |. |17−0.166−0.04967.6960.000
.*|. |. |*. |18−0.1320.10969.2500.000
.*|. |.*|. |19−0.139−0.11870.9930.000
.*|. |. |. |20−0.0890.05871.7280.000
. |*. |. |*. |210.0690.14272.1840.000
. |*. |. |*. |220.1560.09374.5510.000
. |*. |. |. |230.188−0.04978.1160.000
. |**|. |*. |240.2490.11184.5040.000
. |*. |.*|. |250.187−0.13388.2350.000
. |*. |. |. |260.083−0.04688.9930.000
. |. |.*|. |27−0.018−0.12189.0280.000
.*|. |. |. |28−0.1430.03691.3920.000

Model ARMA (1,11) for TVR_

Dependent variable: TVR
Method: least squares
VariableCoefficientStd. error t-statisticProb.
C 0.9761460.1023969.5330220.0000
AR(1)0.6077540.1035205.8709120.0000
MA(11)0.9108150.02173941.897060.0000
R-squared0.718066Mean dependent var1.164407
Adjusted R-squared0.707997SD dependent var0.294058
S.E. of regression0.158901AIC−0.791564
Sum squared residual1.413970SC−0.685926
Log-likelihood26.35113 F-statistic71.31404
Durbin–Watson stat1.986850Prob(F-statistic)0.000000
Inverted AR roots0.61
Inverted MA roots0.95 + 0.28i0.95 – 0.28i0.65 + 0.75i0.65 – 0.75i
0.14 − 0.98i0.14 + 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
F-statistic0.340248Probability0.713108
Obs*R-squared0.378654Probability0.827516
ARCH test
F-statistic1.001927Probability0.321150
Obs*R-squared1.019470Probability0.312645
DOI: https://doi.org/10.2478/mmcks-2025-0008 | Journal eISSN: 2069-8887 | Journal ISSN: 1842-0206
Language: English
Page range: 1 - 10
Submitted on: Mar 10, 2025
|
Accepted on: Jun 16, 2025
|
Published on: Jun 26, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Ramona Săseanu, Ruxandra Stanomir, Andreea-Alexandra Bădulescu, published by Society for Business Excellence
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.