Although policy and advisory communities have promoted the use of digital advisory services (DAS) to stimulate technology adoption among smallholder farmers, little is known about whether DAS use encourages farmers to adopt climate-smart agricultural (CSA) technologies. This study addresses the gap by estimating data collected from 3197 maize-producing households in rural Ghana and considering three CSA technologies: row planting, zero tillage, and drought-tolerant seeds. A recursive bivariate probit model is utilized to mitigate selection bias issues. The results show that DAS use significantly increases the probabilities of adopting row planting, zero tillage, and drought-tolerant seeds by 12.4%, 4.2%, and 4.6%, respectively. Maize farmers’ decisions to use DAS are influenced by their age, gender, education, family size, asset value, distance to farm, perceived incidence of pest and disease, perceived drought stress, and membership in farmer-based organizations (FBO). Furthermore, the disaggregated analysis reveals that DAS use has a larger impact on the row planting adoption of female farmers than males.

尽管政策和咨询界已推广使用数字咨询服务 (DAS) 来刺激小农采用技术，但人们对 DAS 的使用是否鼓励农民采用气候智能型农业 (CSA) 技术知之甚少。本研究通过估计从加纳农村 3197 个玉米生产家庭收集的数据并考虑三种 CSA 技术来解决这一差距：行耕、零耕和耐旱种子。利用递归双变量概率模型来减轻选择偏差问题。结果表明，使用 DAS 使采用行播、零耕和耐旱种子的概率分别提高了 12.4%、4.2% 和 4.6%。玉米农民使用 DAS 的决定受到他们的年龄、性别、教育程度、家庭规模、资产价值、距农场的距离、感知的病虫害发生率、感知的干旱压力以及农民组织 (FBO) 成员资格的影响。此外，分类分析表明，DAS 的使用对女性农民行间种植采用的影响大于男性农民。