There is a growing interest in understanding the linkages between the use of weather and climate information services (WCIS) and the adoption of climate-smart agricultural (CSA) practices. At present, however, there is little guidance on the impact of the use of WCIS on the adoption of CSA practices. This study examines this nexus by focusing on mobile phone delivery channels of weather forecasts through the ESOKO platform in the Upper West Region of Ghana. We employ a simultaneous equation system with a recursive bivariate probit model in which both the outcome (CSA practices) and the endogenous treatment variable (WCIS) are binary. We found the use of WCIS is endogenously treated to farmers in the adoption models of pest-resistant crops, water management, and multiple cropping practices. The use of WCIS significantly increases the adoption of water management and multiple cropping practices by 6.8% and 5.6% respectively. We found, however, no statistical significance on the effects of WCIS on the adoption rates of erosion control, pest-resistant crops, and integrated pest management. Our findings underscore the importance of the source of information on agricultural practices (e.g. radio, TV), farmers’ characteristics (e.g. gender, age) and their perceptions of climate change in the decision to use WCIS. Pathways for promoting CSA practices should address the adoption barriers inherent to farmers’ characteristics and their livelihood strategies (e.g. livestock, income diversification).

人们越来越了解理解天气和气候信息服务（WCIS）的使用与采用气候智能农业（CSA）做法之间的联系。但是，目前，关于使用WCIS对采用CSA做法的影响的指导很少。本研究通过关注加纳上西部地区的ESOKO平台的天气预报手机传送渠道，检验了这一联系。我们采用具有递归双变量概率的联立方程组结果（CSA惯例）和内源性治疗变量（WCIS）均为二元模型。我们发现，在采用抗虫作物，水管理和多种种植方式的采用模型中，WCIS的使用是内生地针对农民的。使用WCIS显着提高了对水资源管理和多种种植方式的采用率，分别提高了6.8％和5.6％。但是，我们发现，WCIS对侵蚀控制，抗虫作物和虫害综合治理采用率的影响没有统计学意义。我们的发现强调了在决定使用WCIS时，有关农业实践（例如广播，电视），农民特征（例如性别，年龄）及其对气候变化的看法的信息来源的重要性。