Table 2 Estimation results of the... | Emerald Publishing

Table 2

Estimation results of the regression models using the national data from 2001 to 2025

	Model (1)	Model (2)	Model (3)
Dependent variable	ln (N)	ln (Y)	ln (Q)
Independent variable	t	t	t
Estimated intercept	8.7033***	−1.7354***	6.9679***
Estimated slope	0.0433***	0.0289***	0.0722***
Number of observations	25	25	25
R-squared	0.975	0.754	0.923
Adjusted R-squared	0.974	0.743	0.920
F-statistic	905.54***	70.47***	276.15***
Estimated CAAGRs (%)^a	4.33%	2.89%	7.22%
Estimated DAAGRs (%)^b	4.43%	2.93%	7.49%

	Model (1)	Model (2)	Model (3)
Dependent variable	ln (N)	ln (Y)	ln (Q)
Independent variable	t	t	t
Estimated intercept	8.7033***	−1.7354***	6.9679***
Estimated slope	0.0433***	0.0289***	0.0722***
Number of observations	25	25	25
R-squared	0.975	0.754	0.923
Adjusted R-squared	0.974	0.743	0.920
F-statistic	905.54***	70.47***	276.15***
Estimated CAAGRs (%)^a	4.33%	2.89%	7.22%
Estimated DAAGRs (%)^b	4.43%	2.93%	7.49%

Note(s):

a

The estimated coefficients of the time variable in the corresponding regression models

b

Calculated from (e^k – 1)*100, where k is the CAAGR estimated from the regression model

b

Calculated from (e^k – 1)*100, where k is the CAAGR estimated from the regression model

*p < 0.05, **p < 0.01, ***p < 0.001