Table 8. Robustness analysis – effect of...

Table 8.

Robustness analysis – effect of REA and FRA on climate vulnerability index (CMR)

Variable	CMR as a dependent
	Fully modified ordinary least square (FMOLS)
	(1)		(2)
	Coefficient	Probability	Coefficients	Probability
REA	−0.003^a	0.012	—	—
FRA	—	—	−0.003^a	0.023
ECG	0.039	0.859	−0.001^a	0.024
FDI	0.002^a	0.003	−0.0001	0.938
BSD	−0.0002	0.113	0.0006^a	0.001
VOA	−0.004^a	0.029	−0.010^a	0.025
Adjusted R-squared		0.484	0.439
SE of regression		0.011	0.012
Long-run variance		0.000	0.000

Variable	CMR as a dependent
	Fully modified ordinary least square (FMOLS)
	(1)		(2)
	Coefficient	Probability	Coefficients	Probability
REA	−0.003^a	0.012	—	—
FRA	—	—	−0.003^a	0.023
ECG	0.039	0.859	−0.001^a	0.024
FDI	0.002^a	0.003	−0.0001	0.938
BSD	−0.0002	0.113	0.0006^a	0.001
VOA	−0.004^a	0.029	−0.010^a	0.025
Adjusted R-squared		0.484	0.439
SE of regression		0.011	0.012
Long-run variance		0.000	0.000

Note(s):

^{a, b} and ^c show the significance at 1, 5 and 10% levels, respectively. Acronyms of variables are mentioned in Table 1

Source(s): Authors’ own creation