Abstract: Based on sample data of maize producers in Shandong Province, the author focused on the determinants of farmers’ adoption of mechanized maize harvesting with binary Logistic modeling, an Ordered Probit model was further applied to analyze factors affecting the degree what farmers applied machines to harvest maize. The results showed that: education level, information acquiring ability, proportion of non-agricultural income, planting scale, perceived effectiveness and the subsidy of government were significantly positive with the adoption of maize mechanized harvesting, whereas land fragmentation and serious natural disasters had significant negative effect on it. Among all the farmers who had adopted mechanized harvesting, factors like the frequency of information acquiring, proportion of non-agricultural income, planting scale and perceived effectiveness were significantly positive with the extent of farmers’ using of machines while harvesting. The author suggested that accelerate the promotion of reasonable land transfer, expand the publication of mechanization, effectively use the subsidy policy tools and actively carry out agricultural mechanization innovation can improve the adoption of mechanized maize harvesting among farmers.