Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

Table 4

Risk-factor weight of new energy automobile industry in China’s Jiangsu province.

Risk indicator; Risk weight	Primary-indicator-factor layer	Primary-indicator weight	Secondary-indicator-factor layer	Secondary-indicator weight
Endogenous risk (0.4111)	Fundamental risk	0.1666	Technological-innovation risk	0.3975
			Production-cost risk	0.2000
			Production-efficiency risk (output value)	0.2224
			Financing-ability risk	0.1801
	Structural risk	0.1074	Fuel-source risk	0.2091
			Market-concentration risk	0.3277
			Regional-distribution risk	0.2583
			Industrial-chain risk	0.2049
	Network risk	0.1371	Unfair-competition risk	0.1423
			Incomplete-contract hazard	0.2302
			Moral risk	0.4092
			Risk of excessive policy dependence	0.2183
Exogenous risk (0.5889)	Policy risk	0.1582	Policy-stability risk	0.2000
			Policy-continuity risk	0.3773
			Policy-timeliness risk	0.2107
			Policy-coordination risk	0.2120
	Market risk	0.1732	International-competition risk	0.1998
			Industry-transformation risk	0.3014
			Social-cognitive risk	0.3387
			Overcapacity risk	0.1601
	Environmental risk	0.2575	Legal-environment risk	0.2188
			Power-battery-environment risk	0.3209
			Economic-cycle risk	0.1517
			Zonal-ecological risk	0.3086