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Table 2 Tobit regression result on status and intensity of crop diversification

From: Crop diversification analysis on red pepper dominated smallholder farming system: evidence from northwest Ethiopia

VariablesCoefficientStd. Err.t valueProbability coefficientIntensity coefficient
Age of household (year)0.001***0.00042.590.002***0.0008***
Sex (1 = male, 0 otherwise)0.05**0.022.460 .15*0.03***
Literacy status (1 = literate, 0 otherwise)0.010.0071.390.030.007
Farm experience (year)− 0.00050.0004− 1.29− 0.001− 0.0003
Family size (AE)− 0.0040.003− 1.29− 0.01− 0.003
Land size0.05***0.0059.390.11***0.03***
Livestock holding (TLU)− 0.000010.00001− 0.77− 0.00003− 9.65e-06
Fragmentation (number)− 0.02***0.005− 4.45− 0.06***− 0.02***
Fertility of soil ((1 = fertile, 0 otherwise)− 0.0030.011− 0.29− 0.01− 0.002
Distance to development center (km)− 0.002*0.001− 1.76− 0.005*− 0.002*
Access to extension(1 = yes, 0 otherwise)− 0.020.010− 1.42− 0.03− 0.01
Access to credit ((1 = yes, 0 otherwise)− 0.0070.008− 0.94− 0.02− 0.005
Market information (1 = yes, 0 otherwise)0.0050.0090.600.010.004
Market distance (km)0.0030.00083.460.01***0.002***
Cooperative membership (1 = yes, 0 otherwise)0.0070.0080.920.020.005
Participation of off income (1 = yes, 0 otherwise)− 0.030.008− 3.86− 0.07***− 0.02***
Constant0.680.02824.26  
 Number of obs = 385
LR chi2(16) = 149.52***
Pseudo R2 = − 0.3166
Log likelihood = 310.92
  
  1. Dependent variable = decision and extent of crop diversification
  2. ***, **, and * show the value statistically significant at 1%, 5%, and 10% level, respectively