Title of article :
Bayesian Analysis of Spatial Probit Models in Wheat Waste Management Adoption
Author/Authors :
Ommani, Ahmad Reza Agricultural Extension Department - Shoushtar Branch , Islamic Azad University , N. Noorivandi, Azadeh Agricultural Extension Department - Shoushtar Branch , Islamic Azad University
Abstract :
The purpose of this study was to identify factors influencing
the adoption of wheat waste management by wheat
farmers. The method used in this study using the spatial
Probit models and Bayesian model was used to estimate the
model. MATLAB software was used in this study. The data of
220 wheat farmers in Khouzestan Province based on random
sampling were collected in winter 2016. To calculate Bayesian
coefficients the Gibbs sampling and Metropolis–Hastings algorithm
were used. A Lagrange Multiplier test for spatial
error dependence [LM(err)] and a Lagrange Multiplier test
for spatial lag dependence [LM(lag)] to extract the appropriate
model were used.The results of both models were statistically
significant with 99% probability. Thus, both models can be
used in interpreting the results. Based on the results of the
estimation of spatial models the variables of participation
in extension courses, technical knowledge about management
of waste, income, crop’s yield, mechanization level and the
spatial autoregressive coefficient had significant role on
adoption of waste management.
Keywords :
Bayesian model , spatial models , wheat waste management
Journal title :
Astroparticle Physics
