Research on Food Security Risk Assessment and Early Warning in China Based on BP Neural Network Model

Table 1

Construction of indicator system of China’s food security early warning system.

First-level indicator	Second-level indicator	Third-level indicator
A: Composite food security index	B1: Total security	C1: Food self-sufficiency
		C2: Per capita food production
		C3: Food production volatility
		C4: Total power of agricultural machinery
	B2: Trade security	C5: Grain imports as a percentage of imports of major agricultural products
		C6: The proportion of grain exports in major agricultural exports
		C7: External dependence
	B3: Ecological security	C8: Ratio of infested area to disaster-stricken area
		C9: Fertilizer application per unit sown area
		C10: Pesticide application rate per unit sown area
		C11: The proportion of irrigated area of cultivated land
	B4: Economic security	C12: Per capita disposable income of residents
		C13: Food consumer price index