A Dynamic Approach to Measuring China’s Provincial Energy Supply Security along “the Belt and Road”

Table 5

Regression results for the key drivers affecting energy supply security.

Variable	Total for 14 provinces	Northwest	Northeast	Southwest	Southeast
C	−1.164 (−3.2652)	−1.627 (−2.7991)	−1.876 (−2.14245)	−0.739 (−2.2688)	−0.147 (−2.1791)
αd1	0.194 (2.1433)	0.125 (2.1602)	0.019 (3.0201)	0.008 (2.5404)	0.010 (3.5112)
αd2	0.128 (2.9011)	0.346 (2.1124)	0.152 (2.7258)	0.009 (5.4797)	0.073 (3.9796)
αd3	0.128 (3.3730)	0.085 (3.3603)	0.165 (3.5989)	0.0238 (2.0333)	0.021 (3.6892)
αd4	0.124 (3.4984)	0.051 (2.3728)	0.128 (4.0961)	0.142 (3.0561)	0.027 (2.3035)
αd5	0.008 (3.9717)	0.075 (2.9861)	0.237 (5.3084)	0.253 (2.6849)	0.179 (2.1721)
αd6	−0.058 (−5.5902)	−0.059 (−3.3775)	−0.218 (−2.0447)	−0.188 (−3.1646)	−0.150 (−6.4653)
αd8	−0.039 (−2.3665)	−0.033 (−2.9515)	−0.089 (−2.5085)	−0.091 (−5.0034)	−0.042 (−4.3981)
αd10	0.034 (2.0880)	0.023 (2.8395)	0.082 (3.5971)	0.146 (5.0034)	0.257 (2.2479)
αd11	−0.028 (−2.5389)	−0.040 (−2.3480)	−0.018 (−3.5998)	−0.096 (−2.7866)	−0.029 (−3.3811)
R2	0.9162	0.8998	0.9357	0.8969	0.9861
AdjR2	0.9021	0.8354	0.9020	0.8032	0.9789
F	62.1158	49.3251	27.7837	19.571	136.077
Sample number	154	66	33	22	33