Table 6. Effect of renewable energy... | Emerald Publishing

Table 6.

Effect of renewable energy adoption (REA) on climate vulnerability index (CMR)

Variable	CMR as a dependent
	CS-ARDL
	Coefficient	Std. error	t-statistic	Probability
Long-run equation
REA	−0.001^a	0.0001	−12.220	0.000
ECG	−0.0007^a	0.0003	−2.325	0.021
FDI	0.002^c	0.001	1.783	0.076
BSD	0.0004^a	0.0001	3.340	0.001
VOA	−0.005^c	0.003	−1.649	0.101
Short-run equation
COINTEQ01	−0.305^a	0.1285	−2.380	0.018
D(REA)	0.0005	0.0008	0.625	0.532
D(ECG)	0.0001^a	0.0007	2.473	0.014
D(FDI)	0.0001	0.001	0.081	0.935
D(BSD)	−0.0001	0.009	−1.306	0.193
D(VOA)	−0.002	0.002	−1.020	0.309
C	−0.002	0.004	−0.446	0.656

Variable	CMR as a dependent
	CS-ARDL
	Coefficient	Std. error	t-statistic	Probability
Long-run equation
REA	−0.001^a	0.0001	−12.220	0.000
ECG	−0.0007^a	0.0003	−2.325	0.021
FDI	0.002^c	0.001	1.783	0.076
BSD	0.0004^a	0.0001	3.340	0.001
VOA	−0.005^c	0.003	−1.649	0.101
Short-run equation
COINTEQ01	−0.305^a	0.1285	−2.380	0.018
D(REA)	0.0005	0.0008	0.625	0.532
D(ECG)	0.0001^a	0.0007	2.473	0.014
D(FDI)	0.0001	0.001	0.081	0.935
D(BSD)	−0.0001	0.009	−1.306	0.193
D(VOA)	−0.002	0.002	−1.020	0.309
C	−0.002	0.004	−0.446	0.656

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