This paper examines the effect of climate change on cereal yields via malaria prevalence in sub-Saharan African (SSA) countries. To achieve this objective, this paper uses a model composed of a system of two equations estimated with the 3SLS method, the semi-parametric approach and the two-stage system GMM method. Panel data from 31 SSA countries over the period 2000–2019 are used. Results reveal, on the one hand, that a change in temperature and rainfall leads to a significant increase in malaria prevalence. On the other hand, malaria prevalence reduces cereal yields by 2.6% on average in most SSA countries, via its effects on household’s agricultural productivity. To reduce malaria prevalence to increase agricultural yields, policy-makers may need to disseminate malaria-reduction-related practices such as the use of insecticide-treated bed-nets and improving access to malaria treatments in rural dwellings.

本文探讨了气候变化通过撒哈拉以南非洲 (SSA) 国家疟疾流行对谷物产量的影响。为了实现这一目标，本文使用由 3SLS 方法、半参数方法和两阶段系统 GMM 方法估计的两个方程组组成的模型。使用 31 个 SSA 国家 2000 年至 2019 年期间的面板数据。一方面，结果表明，气温和降雨量的变化导致疟疾患病率显着增加。另一方面，在大多数撒哈拉以南非洲国家，疟疾流行对家庭农业生产力造成影响，导致谷物产量平均减少 2.6%。为了减少疟疾流行以提高农业产量，政策制定者可能需要传播与减少疟疾相关的做法，例如使用经过杀虫剂处理的蚊帐和改善农村住宅获得疟疾治疗的机会。