Bayesian Analysis of Spatial Probit Models in Wheat Waste Management Adoption

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  • Ahmad Reza Ommani *1,
  • Azadeh N. Noorivandi 2,
  1. Associate Professor, Agricultural Extension Department, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
  2. Assistant Professor, Agricultural Extension Department, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
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Received: 14-07-2017

Revised: 01-01-0001

Accepted: 17-11-2017

Published in Issue 01-03-2019

How to Cite

Ommani , A. R. ., & N. Noorivandi , A. . (2019). Bayesian Analysis of Spatial Probit Models in Wheat Waste Management Adoption. International Journal of Agricultural Management and Development, 9(1), 37-44. https://oiccpress.com/ijamad/article/view/6948

PDF views: 162

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–Hastingsalgorithm 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
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