Skip to main content

Table 5 Description of variables used in the logistic regression model

From: Determinants of food insecurity in the rural farm households in South Wollo Zone of Ethiopia: the case of the Teleyayen sub-watershed

Variables Variables definition and unit of measurement
Dependent variable
Y = HHFSS, food security status 1 if a household is food secure, 0 otherwise
Independent variables
X1 = GHH, gender 1 if a household head is male, 0 otherwise
X2 = HHA, age Household head’s number of years of age
X3 = FS, family size Number of household members
X4 = NALF, agricultural labor force Number of household members participated in agricultural activities
X5 = OFI, off-farm income 1 if the income obtained from off-farm income enabled the household to buy food crops, 0 otherwise
X6 = PS, policy support 1 if the policy support given to achieve food security is high, 0 otherwise
X7 = RS, relief support 1 if a household received relief support, 0 otherwise
X8 = FE, farm experience The number of years the household head has engaged him/herself in farming
X9 = LR, land redistribution 1 if food shortage occurred by periodic land redistribution, 0 otherwise
X10 = AEZ, agro-ecological zone 1 if food shortage occurred because of their agro-ecological zone where their farmland is located, 0 otherwise
X11 = FLT, topography 1 if the farmland topography is gentle, and 0 otherwise
X12 = soil fertility 1 if the soil fertility is high, and 0 otherwise
X13 = ER, erosion 1 if food shortage is occurred by soil erosion, 0 otherwise