Efficiency Measurement and Determinant Factors of Marine Economy in China: Based on the Belt and Road Perspective

Table 2

BMA regression results of influencing factors of regional marine economic efficiency.

Variate	South part			Middle part			North part
	PIP	PM	PV	PIP	PM	PV	PIP	PM	PV
ISWCUR	99.67%	−0.323 6	0.085 7	7.20%	0.000 3	0.023 8	19.96%	−0.030 4	0.081 3
MISD	100%	−2.048 4	0.229 0	94.35%	−6.52	2.741 9	79.15%	0.259 3	0.041 9
MSTIL	98.24%	0.008 0	0.086 7	12.89%	0.011 2	0.047 1	12.30%	0.002 1	0.042 3
MISI	99.91%	−1.644 2	0.363 3	93.82%	−1.397 5	0.627 9	11.69%	0.001 5	0.051
MISU	99.90%	1.051 9	0.244 0	97.46%	2.771 7	1.266 6	14.47%	−0.019 8	0.071
MHTR	97.66%	0.489 0	0.148 8	0.67%	0.000 1	0.011 4	2.52%	0.006	0.04
IETP	99.99%	−1.192 1	0.253 5	13.27%	−0.021 8	0.100 9	93.23%	−0.517 9	0.199 6
TND	71.57%	0.170 5	0.147 6	17.93%	0.080 3	0.232 2	11.11%	0.002 9	0.057 2
FDIP	58.23%	−0.118 8	0.144 8	14.71%	−0.021 8	0.079 6	93.06%	0.448 7	0.178 6
TIS	30.36%	−0.012 9	0.051 6	84.88%	−0.311	0.183 8	9.19%	0.002 7	0.034 5
IWDCR	99.90%	−0.359 9	0.082 8	77.78%	−0.150 8	0.013 4	99.36%	−0.437 8	0.150 2
OFDIP	60.14%	0.092 8	0.104 7	10.31%	0.005 7	0.044 3	66.58%	−0.140 5	0.121 3
MRID	0.61%	0.000 7	0.024 0	27.94%	−0.069 5	0.148 3	14.65%	−0.012 9	0.091
MSTACR	0.75%	0.000 6	0.011 5	16.20%	0.022 1	0.068 8	9.33%	0.006 9	0.045

Note: PIP, PM, and PV represent posterior inclusion probability, posterior mean, and posterior variance.