This study was to identify the determinants of crop choices by farmers in Bangladesh using a bivariate probit model. Specifically, the probability of adopting a diversified cropping system and modern rice technology was investigated specifically, the probability of adopting a diversified cropping system and modern rice technology was investigated the model diagnostic revealed that the choice of a bivariate approach was more appropriate than the univariate approach that was commonly used in the literature and availability of irrigation was the single most important determinant of adopting modern rice technology on the other hand, the probability of adopting a diversified cropping system was significantly higher in developed regions as well as areas with no irrigation.
Also, farmers’ education, farming experience, farm asset as well as the share of non-agricultural income was all significantly related to the adoption of a diversified cropping system the small farmers and owner operators were more likely to adopt a diversified cropping system significant regional variation existed in the level of crop diversification
The model, we saw that ‘farmers’ education’ exerted the strongest positive influence on raising the probability of adopting a diversified cropping system conditional on modern rice variety adoption the actual influence of ‘irrigation’ in reducing the probability of adopting a diversified cropping system was small.