Access to useful climate information is critical for adaptation needs of African smallholder farmers, yet empirical studies documenting the socioeconomic, environmental and household predictors of access to and willingness to pay for climate information services from a gendered perspective have been limited to date. This paper addresses this research need by identifying the predictors of access to and willingness to pay for climate information by smallholder farmers in north-eastern Ghana, a “vulnerability hotspot” where slight changes in rainfall often result in considerable yield losses. The study uses data collected from 193 household surveys in 2 communities across 2 districts in the Upper East region of Ghana. The logit regression was performed based on a disaggregated procedure. Our findings suggest that the majority of smallholder farmers were not willing to pay for the cost of receiving climate information. Results show that only 50% (n = 121) of the male farmers compared with just 31% (n = 72) of female farmers were willing to pay for climate information. The results from the marginal analysis suggest that access to climate information is influenced by both household and environmental factors. The marginal effects logistic regression shows statistically significant differences in the predictors of access and willingness to pay for climate information based on gender. Findings highlight that the provision of climate information should be designed and tailored to meet the needs of smallholder farmers with different socioeconomic backgrounds to enable farmers manage climate risks and build adaptive capacity. The Ghana Meteorological Agency needs to be supported through capacity building on communication to provide targeted climate information for farmers in this climate “vulnerability hotspot”.

获取有用的气候信息对于非洲小农的适应需求至关重要，但是迄今为止，从性别角度记录关于获取和愿意为气候信息服务付费的意愿的社会经济，环境和家庭预测因素的实证研究十分有限。本文通过确定加纳东北部小农户获取和愿意支付气候信息的预测因素来满足这一研究需求，这是一个“脆弱性热点”，降雨的微小变化通常会导致相当大的产量损失。这项研究使用的是从加纳上东部地区2个地区的2个社区的193个家庭调查收集的数据。Logit回归是基于分解过程进行的。我们的发现表明，大多数小农户不愿意为接收气候信息的费用付费。结果表明，只有50％（n = 121）的男性农民愿意为气候信息付费，而只有31％（n = 72）的女性农民愿意为气候信息付费。边际分析的结果表明，获取气候信息受家庭和环境因素的影响。Logistic回归的边际效应显示，获取和基于性别的气候信息支付意愿的预测指标在统计​​上存在显着差异。调查结果强调，应对气候信息的提供进行设计和调整，以满足具有不同社会经济背景的小农户的需求，从而使他们能够管理气候风险并建立适应能力。