Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach

• DOI: 10.1016/j.heliyon.2020.e03543
• Publication Date: 2020-03-05T22:14:45Z
• Authors: Abass Mahama; Joseph A. Awuni; Franklin N. Mabe; Shaibu Baanni Azumah
• Keywords: Cash crop

Soybean is an important cash crop especially for farmers in the north of Ghana. However, cultivation commodity dominated by smallholders equipped with traditional tools, coupled low or no adoption improved soybean production technologies. Using primary data collected from 300 across northern Ghana, study employed count modelling to estimate determinants intensity sustainable The accounted potential estimation errors due under-dispersion and over-dispersion, using a model based on generalized Poisson distribution. On average, farmer adopted 50% identified Age, education, extension visits, mass media through radio, perception technologies being risky are significant positive influence therefore recommends among others, that various programmes should intensify education benefits adopting practices. There need set up many technology demonstration farms give hands-on training during field days.