Ayisi Daniel Nyarko, Kozári József, Krisztina Tóth
School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Hungary.
Institute of Regional Economics and Rural Development, Hungarian University of Agriculture and Life Sciences, Hungary.
Heliyon. 2022 Aug 28;8(8):e10421. doi: 10.1016/j.heliyon.2022.e10421. eCollection 2022 Aug.
More often than not, good innovations introduced to farmers failed to be adopted or diffused among them, simply because the complexities and the variations in farmers' innovation adoption are not well explore. This study aims to analyse the innovation adopter categories that smallholder farmers belong to in Ghana and how their socioeconomic attributes influence their innovativeness. A survey was employed to gather information from smallholder farmers in Ghana. The data obtained from the survey were analysed using the SPSS version 22 and the Individual Innovativeness (II) scales. The hypotheses were tested using the Logistic regression model. The results indicated a large number (36.6%) of the smallholder farmers belong to the late majority of the innovation adopter category. Also, more than three-quarters of the farmers were classified as low innovators. Factors such as farmer education and gender were found to be insignificant to their innovativeness, while other prominent factors were significant to farmers' innovativeness. The study also made a novel revelation on Roger's innovation adopter categorisation values. The study concluded that smallholder farmers in the study area do not belong to a homogenous innovation adopter category. Also, educated farmers without income are less innovative. It was therefore recommended that stakeholders introducing new technologies to smallholder farmers should develop attractive marketing packages combined with videos and pictures to educate farmers on the new products, to speed up adoption.
通常情况下,引入农民的良好创新未能被他们采用或传播,仅仅是因为农民创新采用的复杂性和差异没有得到充分探索。本研究旨在分析加纳小农户所属的创新采用者类别,以及他们的社会经济属性如何影响其创新能力。采用一项调查从加纳的小农户那里收集信息。使用SPSS 22版和个人创新(II)量表对从调查中获得的数据进行分析。使用逻辑回归模型检验假设。结果表明,大量(36.6%)的小农户属于创新采用者类别的晚期多数群体。此外,超过四分之三的农民被归类为低创新者。发现诸如农民教育和性别等因素对其创新能力不显著,而其他突出因素对农民的创新能力显著。该研究还对罗杰斯的创新采用者分类价值观有了新的揭示。研究得出结论,研究区域内的小农户不属于同质的创新采用者类别。此外,没有收入的受过教育的农民创新能力较低。因此,建议向小农户引入新技术的利益相关者应制定有吸引力的营销方案,并结合视频和图片向农民介绍新产品,以加速采用。